# Ninety9 — full site content

> Ninety9 builds conversion-rate optimisation apps for Shopify: AI cart drawers, bundles, upsell popups, free shipping progress bars and post-purchase order editing. Trusted by 20,000+ stores.

Generated 2026-10-25. Canonical site: https://ninety9.dev

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# Apps

## Addy: AI Cart Drawer & Bundles

URL: https://ninety9.dev/apps/addy.html

Shopify App Store: https://apps.shopify.com/addy-cart-drawer
Category: Cart customization, Product bundles
Pricing: Free to install
Rating: 5/5 from 2 reviews
Built for Shopify: no
Launched: 2026-08-10

Addy adds a fully customisable slide cart drawer to your Shopify store with AI in-cart upsells, volume discount bundles, subscriptions, a free shipping bar and shipping protection — then targets it per Market, customer tag or even per block.

### Highlights
- AI upsells, bundles and product recommendations that lift average order value
- Different carts for different Markets and customer tags, with block-level rules
- Volume discounts, free gifts, shipping protection and progress-bar reward goals
- Estimated delivery dates, countdown timers, announcement bars and trust badges
- A library of FOMO blocks plus custom HTML and CSS for total design control

### Features
- **AI-built cart drawer** — Addy reads your catalogue, theme and brand and assembles a complete cart drawer for you. You get a working, on-brand cart in minutes instead of an afternoon of configuration.
- **40+ drag-and-drop blocks** — Upsells, bundles, progress bars, announcements, trust badges, order notes, discount fields, gift wrap, countdown timers and more — reorder any of them by dragging.
- **In-cart upsells and cross-sells** — Show frequently bought together, related products or AI recommendations right where intent is highest, with one-click add and no page reload.
- **Volume discounts and free gifts** — Buy-more-save-more tiers, BOGO, bulk pricing, automatic discounts and free gift thresholds, all resolved natively at checkout.
- **Reward progress bars** — Stack goals for free shipping, order discounts and free gifts so shoppers always have a reason to add one more item.
- **Market and segment targeting** — Build a different cart for every Market or customer tag, and add conditions to individual blocks so the right offer reaches the right shopper.
- **Estimated delivery dates** — Show a real delivery window inside the cart to remove the biggest pre-checkout unknown and reduce abandonment.
- **Custom HTML and CSS** — Drop in your own markup and styles when a design needs to go beyond the settings panel. No theme edits, no developer required.

### Works with
- Checkout
- Shopify Admin
- All themes
- Discounts & free gift apps
- Foxify & GemPages
- Judge.me, Loox, Junip, Yotpo
- Multi-currency apps
- PageFly & EComposer

### FAQ
**Does Addy work with my Shopify theme?**

Yes. Addy installs as a theme app extension and is compatible with every Online Store 2.0 theme, plus page builders such as PageFly, GemPages, Foxify and EComposer. There are no theme file edits, so uninstalling leaves nothing behind.

**Will the cart drawer slow my store down?**

Addy loads asynchronously and only renders when the cart is opened, so it stays out of the critical rendering path. It does not block your Largest Contentful Paint and adds no render-blocking scripts.

**Can I show different carts in different countries?**

Yes. Addy supports Shopify Markets targeting, so you can run a different cart layout, different offers and different free shipping thresholds per Market, and target individual blocks by customer tag as well.

**How much does Addy cost?**

Addy is free to install from the Shopify App Store.

**Does Addy support multiple languages and currencies?**

Yes. Every string is translatable and prices render in the shopper’s presentment currency, so international carts read correctly without extra configuration.

## Addly: AI Bundles app & Upsell

URL: https://ninety9.dev/apps/addly.html
Pricing page: https://ninety9.dev/addly-pricing-subscriptions.html
Shopify App Store: https://apps.shopify.com/addly
Category: Product bundles, Upsell and cross-sell
Pricing: Free plan, then from $15/mo
Rating: 4.9/5 from 111 reviews
Built for Shopify: yes
Launched: 2023-04-03

Addly gives you every offer type that lifts basket size — frequently bought together, bundle discounts, cross-sells, quantity breaks, volume discounts, product add-ons and mix-and-match — plus AI offers built from your real purchase history.

### Highlights
- Frequently bought together or a slider upsell with a variety of layouts
- Volume discounts targetable to specific variants to clear slow-moving stock
- Product add-ons and mix-and-match offers with layered discount logic
- Translatable into 13 languages with full multi-currency support
- Analytics that surface your best performing offers, not just totals

### Features
- **Frequently bought together** — Pair the products your customers already buy together and present them as a single, discounted add. Choose from grid, slider or stacked layouts.
- **Quantity breaks and volume discounts** — Tiered pricing that rewards bigger orders, targetable down to individual variants so you can clear specific sizes or colours.
- **Mix-and-match bundles** — Build-a-box, sample packs, gift boxes and infinite-option bundles with discount logic that can nest conditions inside conditions.
- **AI offers from purchase history** — Addly analyses real order data to recommend the pairings that actually convert in your store, instead of guessing from category tags.
- **Product add-ons** — Attach warranties, gift wrap, shipping protection or accessories as optional one-click add-ons on the product page.
- **Live preview before publishing** — See the exact offer as a shopper will, on your real theme, before it goes live. No publish-and-pray.
- **13 languages, every currency** — English, German, Spanish, French, Italian, Japanese, Dutch, Turkish, Simplified Chinese, Korean, Punjabi, Hindi and Swedish out of the box.
- **Offer-level analytics** — Click-through rate, conversion rate and revenue per offer, so you can retire the losers and scale the winners.

### Works with
- Checkout
- Shopify Admin
- Addy: Cart drawer & Upsells
- Foxify & GemPages
- Multi-currency apps
- PageFly & EComposer
- Review apps
- UpCart & One Click Upsell

### Plans
- Free: Free/forever — For stores exploring bundling. No hidden fees on sales.
- Unlimited: $15/mo — Scale with no limits. No hidden fees.
- Advanced: $20/mo — Advanced functionality. No hidden fees.

### FAQ
**What is the difference between Addly and Addy?**

Addly runs offers before the cart — on product and collection pages — with bundles, quantity breaks and frequently bought together. Addy is the cart drawer itself. They are built to run together, and Addly explicitly integrates with Addy.

**Do Addly bundles work with Shopify discount codes?**

Addly applies its discounts through Shopify’s native discount engine, so pricing is correct in the cart and at checkout. Stacking behaviour with other codes follows your Shopify discount combination settings.

**Is there a free plan?**

Yes. Free is free forever, with up to three Basic offers — bundles, upsells, add-ons, cross-sells, volume discounts and default layouts. Unlimited adds unlimited offers, custom design and Markets. Advanced adds AI recommendations, bundle discounts and targeting. Paid plans follow your Shopify plan.

**Why do Unlimited and Advanced show different prices?**

Addly prices those two plans by the shop’s Shopify plan. Basic, Starter, Trial and Development pay $15 / $20/mo. Grow & Advanced pay $20 / $35/mo. Plus pays $39 / $50/mo. Free stays $0.

**Can I target a volume discount to one variant only?**

Yes. Volume discounts can be scoped to specific variants, which makes Addly useful for clearing a single size or colour without discounting the whole product.

**Which languages does Addly support?**

Thirteen: English, German, Spanish, French, Italian, Japanese, Dutch, Turkish, Simplified Chinese, Korean, Punjabi, Hindi and Swedish.

## Goalify: Free Shipping Bar PRO

URL: https://ninety9.dev/apps/goalify.html

Shopify App Store: https://apps.shopify.com/goalify
Category: Gifts, Upsell and cross-sell
Pricing: Free plan, then from $3.99/mo
Rating: 5/5 from 48 reviews
Built for Shopify: yes
Launched: 2024-12-04

Goalify combines progress bars, cart goals, stackable rewards and AI upsells into one experience. Build a free shipping bar, hand out a free gift with purchase, run BOGO and show AI recommendations — set up in under two minutes with no code.

### Highlights
- Rules based on cart value, cart quantity or specific products in the cart
- Stackable rewards: free gift, free shipping and order discount at once
- Unlimited rules and rewards — stack as many goals as your margin allows
- Multiple design templates, fully localised with translation and currency conversion
- Use it as a top bar and as a widget you can place anywhere in the theme

### Features
- **Free shipping progress bar** — The single highest-leverage AOV widget there is. Show shoppers exactly how far they are from free shipping, in their own currency.
- **Stackable reward goals** — Chain goals together: free shipping at $50, 10% off at $80, a free gift at $120. Each threshold crossed reveals the next one.
- **Free gift with purchase** — Auto-add a gift when conditions are met, with full control over which products qualify and how the gift appears in the cart.
- **Condition-based rules** — Trigger on cart subtotal, item count, or the presence of specific products and collections — then combine conditions freely.
- **AI upsells from order history** — When a shopper is short of a goal, Goalify suggests the product most likely to close the gap based on your real order data.
- **Country-based configuration** — Different thresholds for different countries, because $75 free shipping does not mean the same thing in every market.
- **Bar and embeddable widget** — Run it as a sticky announcement bar, drop it into the cart drawer, or place it on the product page. Or all three.
- **A/B testing and analytics** — Compare thresholds and copy against each other and see conversion rate, click-through and funnel performance per variant.

### Works with
- Checkout
- Shopify Admin
- All themes
- Cart modification apps
- Page builders
- Translation & currency apps

### Plans
- Free: $0/forever — Up to 10 orders / month
- Starting out: $3.99/month — Up to 20 orders / month
- Getting traction: $7.99/month — Up to 35 orders / month
- Scaling: $11.99/month — Unlimited orders

### FAQ
**How long does Goalify take to set up?**

Under two minutes for a standard free shipping bar. You pick a template, set the threshold, choose where it appears, and publish. No code and no theme edits.

**Can I stack more than one reward?**

Yes, that is the core idea. You can set unlimited rules and unlimited rewards, and stack both — for example free shipping at one threshold and a free gift at a higher one.

**Does the free shipping bar convert currency automatically?**

Yes. Goalify is fully localised, so thresholds are shown in the shopper’s presentment currency and can be configured per country.

**Where can I place the progress bar?**

As a sticky top bar on the storefront, inside the cart drawer, on the cart page, and on product pages. It is available both as a bar and as an embeddable widget.

**Is Goalify Built for Shopify?**

Yes. Goalify carries the Built for Shopify badge, which means it meets Shopify’s highest standards for performance, design and integration.

## Monet • AI Popup Bundle Addons

URL: https://ninety9.dev/apps/monet.html

Shopify App Store: https://apps.shopify.com/monet
Category: Product bundles, Discounts
Pricing: Free to install
Rating: 5/5 from 4 reviews
Built for Shopify: no
Launched: 2026-02-06

Monet shows upsells, cross-sells and bundles as popups triggered by the three moments that matter most: add to cart, checkout initiation and exit intent. Add AI recommendations and you capture revenue that would otherwise walk out the door.

### Highlights
- AI product recommendations inside every popup, running on autopilot
- Three triggers that cover the whole funnel: add to cart, checkout, exit intent
- Popup templates for bundle, cross-sell and add-on offers
- Multi-currency and translations so you can lift revenue internationally
- Analytics that show exactly which popup converts and which one does not

### Features
- **Add-to-cart trigger** — The highest-intent moment in the whole session. Show a complementary product the instant a shopper commits, while their wallet is already open.
- **Checkout-initiation trigger** — One last relevant offer before the shopper leaves your storefront for checkout — with no risk to the checkout flow itself.
- **Exit-intent trigger** — Detect the leave signal and present a reason to stay. Turns a bounce into a bundle far more often than you would expect.
- **AI recommendations** — Monet picks the offer product for you from purchase patterns, so popups stay relevant as your catalogue and season change.
- **Bundle, cross-sell and add-on templates** — Three proven popup layouts. Pick the one that fits the offer instead of building a layout from scratch.
- **Discount and countdown logic** — Percentage, flat, BOGO, tiered and volume discounts, plus limited-time offers and countdown timers for urgency that is honest.
- **Targeting and segmentation** — Geolocation, tagging, segmentation and rule-based triggers so a popup never fires at the wrong shopper.
- **Full-funnel analytics** — Views, add-to-cart rate and conversion rate per popup, so optimisation is a measurement exercise rather than a debate.

### Works with
- Checkout
- Shopify Admin
- Cart drawers
- Foxify & GemPages
- Multi-currency apps
- PageFly & EComposer
- Review apps
- UpCart & One Click Upsell

### FAQ
**Will upsell popups hurt my conversion rate?**

Not when they are triggered on intent rather than on a timer. Monet fires on add to cart, checkout initiation and exit intent, so the popup appears after the shopper has already committed or is already leaving. It never interrupts browsing.

**What is exit intent and how does Monet detect it?**

Exit intent is the behavioural signal that a visitor is about to leave — typically the cursor moving rapidly toward the browser chrome on desktop, or a back-navigation gesture on mobile. Monet listens for those signals and shows one targeted offer.

**Does Monet cost anything?**

No. Monet is free to install from the Shopify App Store.

**Can I run Monet alongside a cart drawer app?**

Yes. Monet is designed to work with cart drawers including Addy, as well as UpCart and One Click Upsell.

**Do popups work on mobile?**

Yes. Templates are responsive and the trigger logic adapts to mobile behaviour, including back-navigation as the exit signal.

## Reviso: Order editing & Upsell

URL: https://ninety9.dev/apps/reviso.html

Shopify App Store: https://apps.shopify.com/reviso-order-editor
Category: Order editing, Returns and exchanges
Pricing: Free to install
Rating: 5/5 from 1 reviews
Built for Shopify: no
Launched: 2026-06-23

Reviso lets customers edit their orders after checkout — address, products, quantities, variants — before anything ships. Support tickets fall, cancellations fall, returns fall, and AI upsells turn the edit screen into a second revenue moment.

### Highlights
- Cancellation deflection flow with incentive discounts or a free gift
- Post-purchase AI recommendations and recently viewed products to lift AOV
- Fewer returns because shoppers fix mistakes before fulfilment, not after
- Smart rules controlling edits by country, customer tag and order conditions
- Change address, shipping method, variants or quantities without a support ticket

### Features
- **Self-service address change** — The single most common post-purchase support ticket, handled by the customer in seconds — before the label is printed and the cost is locked in.
- **Edit items, quantities and variants** — Wrong size, wrong colour, forgot an item. Reviso lets shoppers correct it themselves at any point before fulfilment.
- **Cancellation deflection** — When a shopper starts a cancellation, offer an incentive discount or a free gift instead. A saved order beats a refunded one every time.
- **Post-purchase AI upsells** — The edit screen is a high-attention page with a warm buyer on it. Reviso fills it with AI recommendations and recently viewed products.
- **Rules by country and tag** — Control exactly who can edit what. Restrict address changes in some markets, allow item swaps only for tagged customers, set order-value conditions.
- **Native Shopify design** — The edit interface looks like it shipped with Shopify, so customers never feel handed off to a third party.
- **Returns and exchange tooling** — Automated approvals, return windows, return reasons, store credit, exchanges and non-returnable items, all in one place.
- **Works with customer accounts** — Lives inside Shopify customer accounts, so shoppers find it where they already look for their orders.

### Works with
- Customer accounts
- Shopify Admin
- Cart drawers & Kaching bundles
- Foxify & GemPages
- Judge.me review apps
- Monster, Vitals & Avada
- Multi-currency apps
- PageFly & EComposer

### FAQ
**Can customers edit an order after it has shipped?**

No. Reviso only exposes edits before fulfilment, which is exactly the window where a change is still cheap. Once an order is fulfilled the edit options close automatically.

**How does Reviso reduce returns?**

Most avoidable returns start as a mistake at checkout — wrong variant, wrong address, wrong quantity. Letting the customer fix that before the parcel moves removes the return entirely, along with its shipping cost and restocking work.

**Can I stop customers from changing certain things?**

Yes. Smart rules let you allow or block each edit type by country, customer tag and order conditions, so you keep control over high-risk changes.

**What does the cancellation flow offer?**

When a shopper begins to cancel, Reviso can present an incentive — a discount on the current order or a free gift — as an alternative to cancelling outright.

**Is Reviso free?**

Yes, Reviso is free to install from the Shopify App Store.

---

# Reviso demo

URL: https://ninety9.dev/reviso-demo/

Interactive demo of Reviso, the free Shopify app for post-purchase order edits. Change shipping, items, quantities and variants after checkout, before fulfilment. App page: https://ninety9.dev/apps/reviso.html. Shopify App Store: https://apps.shopify.com/reviso-order-editor

---

# CRO Audit for Shopify stores

URL: https://ninety9.dev/cro-audit/

Free product-page check. Paste a store domain (https:// optional), a homepage, a collection, or a /products/ URL. If the URL is not a product page, the audit looks for a best-selling product, then any product linked from the pasted page, then any product in the public catalogue, and scores that product page. A specific /products/ URL is audited as given. Password-protected stores work too: paste the store password from Online Store → Preferences (not your Shopify login) if asked. We use it once and do not save it.

The audit looks at what a shopper can see on the product page and in the cart, including after add to cart when we can. It does not log into Shopify admin, and does not see checkout, customers, or orders. Reports stay until the merchant deletes them and are shared with ?r={id}. Merchants can opt out with <meta name="ninety9-audit" content="no"> in theme.liquid, or erase stored reports with content="no,delete" and then submit the shop URL on the CRO audit page.

---

# ChatGPT SEO check for Shopify stores

URL: https://ninety9.dev/chatgpt-seo/

Free ChatGPT SEO check for Shopify store pages (homepage, collection, product, blog, or a page). Not a measure of citations in ChatGPT, Claude, Gemini, or Perplexity. Reads public HTML, robots.txt, and llms.txt. Buttons open those assistants in the visitor's browser with a short prompt. Ninety9 does not call their APIs. Same store-password and opt-out rules as the CRO audit.

---

# Blog

## How to Export a Shopify Store’s Products to CSV

URL: https://ninety9.dev/blog/how-to-export-a-shopify-stores-products-to-csv.html
Published: 2026-10-25
Category: CRO & Analytics
Reading time: 8 minutes

Download a competitor’s public Shopify catalogue as a CSV: titles, prices, compare-at prices, variants, SKUs and images. Sort it, then check margin before you match a price.

Pricing a competitor one product page at a time is slow. You click, you scribble a number, you forget the variant that was $4 more.

A [Shopify product exporter](https://checkoutclub101.com/shopify-product-exporter/) pulls the public catalogue into a spreadsheet: title, price, compare-at price (the “was” price), variants, SKUs, vendor, tags and image links. You sort, you count how many products sit in each band, and you see how deep the discounting goes.

The export is only what a shopper could see. The file is built in your browser and is not stored on the tool. No app is installed on their theme or yours.

## What one row means

The file is **one row per variant**, not one row per product. A T-shirt with six sizes is six rows. When you want a product count, count unique handles (the URL name), not rows.

Typical columns:

- **Title** and **handle** — what they call it, and the `/products/handle` slug.
- **Vendor** and **type** — brand line and the bucket they put it in.
- **Tags** — merchandising labels. Useful, noisy.
- **Variant title** and **SKU** — size, colour, and their stock code if they published one.
- **Price** and **compare-at** — what they charge, and the number they strike through.
- **Availability** — in stock or still listed while sold out.
- **Image URL** — for your notes. Not a license to reuse the photo.

A large catalogue takes longer because every variant is included. Open the CSV in Excel, Numbers or Google Sheets.

## What to look for first

**Price clusters.** Sort by price. You will see bands: under $20, $20–$40, $40–$80. The band you can advertise is the one that matters. If everything they sell sits above your customer’s comfort, you are not in the same shop.

**Compare-at gaps.** Filter to rows where compare-at is higher than price. Those SKUs are “on sale” in the catalogue. They are often the ones in ads. Confirm with a [Shopify ads spy](https://checkoutclub101.com/shopify-ads-finder/).

**Variant depth.** Six sizes and four colours is a different business to one-size pouches. Depth is inventory and photos. Shallow catalogues are easier to test; deep ones look more “real” on the PDP.

**Out of stock they still list.** Availability lets you see what they keep on the site when it is gone. That can be a signal they restock, or a leftover.

**Collection-only exports.** Paste a collection URL if you only care about that range. Pasting the homepage starts from the public catalogue the store exposes there.

## Use the file next to ads and a calculator

The export without a question is a dump. Pair it.

**Ad → price.** Spy their Meta or TikTok ads, note the product, find that title in the sheet, write the price they actually charge. Ads lie with “from.” Spreadsheets do not.

**Price → leftover.** Before you match their number, subtract your product cost, shipping and fees. If their $28 would be your $4 leftover, you cannot run their ad.

**Demand → SKU.** If you are still choosing what to sell, take two titles to a [winning products](https://checkoutclub101.com/shopify-winning-products-to-dropship/) board and see whether recent orders exist in a country you can ship to.

**Page → stack.** The [theme finder](https://checkoutclub101.com/shopify-theme-detector/) and [app detector](https://checkoutclub101.com/shopify-app-detector/) tell you how they present that price. The [CRO Audit for Shopify stores](/cro-audit/) tells you whether the PDP can take the click.

## Do not import their shop

Shopify’s product importer wants its own column names. Map carefully if you ever import *your* cleaned data. Do not paste their descriptions, their image URLs or their reviews into your store. The export is a ruler. It is not a clone tool.

Password pages export nothing. That is correct. Private products are not yours to list.

## A worked pass (example)

You export a small apparel store. Forty-eight products become about 200 rows because of sizes.

You sort by price. Most sit at $28–$48. Twelve rows have a compare-at about $10 higher. Those twelve titles include the hoodie you saw in a month-old Meta ad.

Your cost on a similar hoodie is $14 landed. At $38 you have room. At their $28 you do not. You do not match $28. You pick one hoodie and one pair of socks as a pair, or you skip the hoodie.

That is a catalogue used as a decision.

## Mistakes

**Counting rows as products.** Use unique handles.

**Matching the lowest price on the sheet.** The lowest item may need a conversion rate you will never hit.

**Exporting and never opening Ads Library.** You still do not know what they push.

**Storing the CSV as if it were a license.** Images and copy stay theirs.

## A one-hour sheet you can reuse

Make a second tab. Do not mark up the raw export — you will re-download it.

Columns that earn their keep:

- Handle
- Title
- Min price / max price (if variants differ)
- Compare-at gap
- Variant count
- In ads? (yes/no after you spy)
- Your landed cost
- Your leftover at their price
- Decision: match / bundle / skip

Fill ten rows, not two hundred. The rest of the catalogue is context. The ten are the fight.

When a new export lands next month, you only refresh those handles. Price moves show up. A disappearing compare-at means the sale ended. A new compare-at on a quiet SKU means they are about to push it.

## Variants that trick you

A “from $18” title with a $42 variant is a trap if you plan ads on $18. Use min and max on the handle, not the first row you see.

Gift cards, warranty SKUs and “do not delete” test products sit in a lot of catalogues. Filter them out by type or title before you average anything. Averages that include a $5 sticker and a $180 kit are fiction.

International prices: the public catalogue is usually the store’s primary currency. If they run Shopify Markets (different prices per country), the export is still the public default. Do not assume the euro shopper sees the same number.

## This afternoon

1. Paste the competitor into the [product exporter](https://checkoutclub101.com/shopify-product-exporter/).
2. Download the CSV. Count unique handles. Sort by price.
3. Filter compare-at. Spy ads on two of those titles.
4. Write your leftover on the one SKU you would actually sell.
5. If the leftover works, build that page and audit it. If it does not, pick another title or another store.

You now have their public price list. You also know which numbers you cannot afford to copy.

## Bundles hiding in a flat file

A kit is sometimes one product with one price, and sometimes three products with a compare-at that only appears in an app. The CSV shows the catalogue Shopify published. App-built bundles may not appear as a single row.

If the ad shows a kit and the sheet only has the parts, write the part prices and add them up. That is the real number behind the creative. If you cannot make that kit for less than they charge, you do not have a kit. You have three products you should not bundle yet.

Tags like `bestseller`, `bundle`, or `gift-set` are hints. They are also messy. Confirm on the live collection before you plan a whole range around a tag.

## Image URLs are for notes

The image column lets you recognise the SKU when titles are vague (“Classic / Black”). It does not let you hotlink their CDN on your product page. Download nothing into your theme. Shoot or license your own photos.

If two stores share the identical image URL host and crop, they may share a supplier. That is useful for product research. It is also a warning that the photo is not a brand advantage.

Re-export after a sale week. Compare-at columns move. A handle that disappears was unpublished. A new handle with a compare-at is often next month’s ad. Keep the old file so you can see the move.

## Price bands, not one hero

Sort unique handles by min price. Count how many sit under $20, $20–40, $40–80, and above. That is their range.

If they make money in $40–80 and you only list $18 gadgets, you are not in the same store. Matching one $48 hoodie does not put you there. Either raise a real product into that band or stop using them as the price map.

If they live under $20, your $90 kit will not steal their ads. Different trust. Different return rate. Use the sheet to pick a peer, not a celebrity catalogue.

Keep the raw CSV and the ten-row tab in the same folder, named with the store and the date. Next month you will thank yourself when a price moved $4 and you can prove it instead of arguing from memory.

### FAQ

**How do I export products from a Shopify store I do not own?**

Paste the store URL into a Shopify product exporter. It reads the public product list and gives you a CSV. Only public products are included.

**Does the export include sale prices?**

Yes. Every variant row has the current price and the compare-at price, so you can see discounts across the catalogue.

**What columns are in the file?**

Title, handle, vendor, type, tags, variant title, SKU, price, compare-at, availability and image URL. One row per variant.

**Can I import this CSV into my own Shopify store?**

It is built for comparison. Shopify’s importer expects its own columns, so map them before you import. Do not copy a competitor’s descriptions and images.

**Is the file saved on the tool’s server?**

No. The spreadsheet is generated for your download and is not stored.

**Does it work on password-protected stores?**

No. If products are not public, there is nothing to export.

**Can I export one collection only?**

Paste the collection URL if you only care about that range. The homepage export uses the public catalogue from that starting point.

## How to Find Out What Theme a Shopify Store Uses

URL: https://ninety9.dev/blog/how-to-find-what-theme-a-shopify-store-uses.html
Published: 2026-10-25
Category: CRO & Analytics
Reading time: 8 minutes

Find the real Shopify theme behind a competitor’s store, even if they renamed it in the editor. See whether it is on the Theme Store or custom, then decide if a switch is worth it.

When a competitor’s Shopify store looks faster, cleaner or more expensive than yours, the theme is usually part of the story — and usually a smaller part than it feels.

A [Shopify theme detector](https://checkoutclub101.com/shopify-theme-detector/) tells you which theme sits behind the storefront: Dawn, Impulse, Prestige, Symmetry, Motion, Warehouse, or another Theme Store theme, or a custom / headless build. It reads the theme the shop was published from, not the nickname in **Online Store → Themes**. A copy labelled “Live v3” can still be Impulse.

You get the real name, whether you can buy it, and the Theme Store listing when there is one. That is the difference between buying the same starting point and hiring someone to rebuild it.

## Why the editor name lies

Shopify lets merchants duplicate a theme and rename the copy. Holiday campaigns, Black Friday drafts and “Main — do not touch” are normal. Viewing page source sometimes shows an asset path, but agencies strip labels and renamed copies confuse a quick search.

The finder resolves the published origin. That is what you came for.

Headless (a storefront not using a normal Shopify theme — often Hydrogen) will not return a Theme Store name. That result is still useful. It usually means a bigger team and a bigger budget. You compete on offer and speed-to-test, not on matching their custom front end.

## How to run it

1. Paste a public URL. Home, collection or product all work.
2. Read the theme name and the Theme Store versus custom line.
3. Open the listing if there is one. Preview the demo.
4. Compare the demo with the live store. Most of the gap is sections, photography and apps.

They will not know you looked. Password-protected stores will not resolve.

If the homepage is a splash page (a single campaign screen), paste a product URL from the same shop. Campaign landing pages sometimes use a different template.

## Theme versus everything else

A theme sets the layout, the default cart behaviour and a speed baseline. It does not set the offer, the photos, the review widget or the ad that sent the click.

Two Impulse stores can convert differently because one has a clear price and one hides it, or because one opens a cart drawer and one dumps the shopper on `/cart`.

So after the name:

- [App detector](https://checkoutclub101.com/shopify-app-detector/) on the same URL — reviews, pop-up, cart, subscriptions.
- [CRO Audit for Shopify stores](/cro-audit/) on the product they advertise — can a stranger buy.
- [Ads spy](https://checkoutclub101.com/shopify-ads-finder/) — what they pay to say.
- [Product exporter](https://checkoutclub101.com/shopify-product-exporter/) — the price behind the look.

If you are still choosing a product, the [winning products](https://checkoutclub101.com/shopify-winning-products-to-dropship/) board is the demand check. A pretty theme on a SKU you cannot ship is still a pretty theme.

## Should you switch

Switch when the layout is the gap: your theme fights add-to-cart, cannot place a cart drawer, or is so slow that the first image is late. Buy the same Theme Store theme they use if the demo already does the job you need.

Stay when the gap is photos, reviews, the offer or the ads. Installing Prestige will not write a delivery sentence or add a bundle under the button.

Our apps sit on top of almost any modern theme as theme app extensions (they load in the theme editor, no `theme.liquid` edits): [Addy](/apps/addy.html) for the drawer, [Addly](/apps/addly.html) for product-page offers, [Goalify](/apps/goalify.html) for the bar. You do not need their theme to add those jobs.

## A worked pass (example)

You paste a competitor homepage. The finder says Impulse, Theme Store, and links the listing.

The Impulse demo is a clean fashion layout. Their live shop looks richer because of photography and a review app, not because they rewrote the theme. The app detector shows Judge.me and a cart drawer. The CRO audit on their bestseller passes the buy path.

Your note: you can stay on Dawn, add reviews and a drawer, and spend the theme budget on photos. Or you buy Impulse because you already wanted its collection layout. Either way you decided on a reason, not a feeling.

## Mistakes

**Treating “custom” as “better.”** Custom can mean an agency, or a mess. Audit the product page.

**Copying the theme and the apps in one weekend.** One change at a time, or you will not know what moved the number.

**Reading view-source and stopping.** Paths lie. The finder exists because they lie.

**Switching themes the week you scale ads.** Theme swaps move selectors. Recrawl the landing URL before you raise budget.

## What “Dawn” versus a paid theme actually changes

Dawn is Shopify’s free reference theme. It is fast, plain and easy to extend with app embeds. Impulse, Prestige, Symmetry, Motion and Warehouse are paid starting points with denser sections: lookbooks, more product-card styles, sometimes a different cart.

None of that replaces a price, a photo or a review. A paid theme can still ship a weak add-to-cart. Dawn can still sell a clear product.

When the finder says Dawn, do not treat that as “they are cheap.” Treat it as “they spent the budget on photos and apps.” When it says Prestige, do not treat that as “they convert.” Treat it as “they bought a fashion layout.” Then audit the PDP.

Headless / Hydrogen means the HTML is not a normal theme. Your theme finder result stops at “not a Theme Store theme.” Compete on shipping promise and offer. You will not out-engineer their front end this quarter.

## A theme switch checklist (only if you still want one)

1. Audit the current bestseller. Save the score and the ranked misses.
2. Duplicate the live theme. Never edit live.
3. Install the new theme as a draft. Add the same app embeds: drawer, bar, reviews.
4. Preview the bestseller. Can you still add to cart on a phone?
5. Check the cart: drawer or `/cart`, shipping goal, checkout button.
6. Publish at a quiet hour. Recrawl the same URL.
7. Leave ads at the current budget for two days. Then decide.

If step 4 fails, stay on the old theme. A prettier collection grid is not worth a dead buy button.

## This week

1. Paste the competitor you actually lose to into the [theme finder](https://checkoutclub101.com/shopify-theme-detector/).
2. Open the listing if it exists. Compare demo and live.
3. Detect apps on a product URL. Audit that URL.
4. Write one sentence: “The gap is theme / apps / offer / ads.”
5. Change that one thing.

You now know the starting file. You also know whether it is worth buying.

## Sections versus the theme file

What you like on their homepage is often a section (a drag-and-drop block in the theme editor): a slideshow, a lookbook, a video. Paid themes ship more of those blocks. You can add a similar section on Dawn with an app or a small custom section without paying for the whole theme.

Walk their homepage and name each band: announcement, hero, social proof, bestsellers, story, footer. Write which of those you are missing. Fill the missing band. That is cheaper than a theme swap and easier to undo.

Product templates matter more than the homepage. Open their bestseller and yours. Same order: gallery, title, price, variants, add-to-cart, offer, reviews, description. If your offer sits below a long story and theirs sits under the button, move yours. You did not need Prestige for that.

Speed: a heavy slider on a paid theme can lose to a static Dawn hero. After any change, load the PDP on a phone with a cold cache. If the buy button is late, the theme did not help.

## Agency “custom” that is still a Theme Store theme

Some agencies start from Impulse, rename the copy, and call the project custom. The finder should still say Impulse. Believe the finder. You can buy the same start and hire someone for sections only.

If the finder says custom and the HTML still looks like Dawn (plain product cards, default cart), they may have forked Dawn and stripped the name. You can still stay on Dawn. Do not hire a rebuild because the word “custom” appeared once.

You now have a reason to buy a theme, or a reason not to. Either one is a finished decision.

If you do buy, buy the listing the finder linked and keep the first week on a draft. The Theme Store demo is empty. Your products, photos and apps are the real preview. A draft that cannot add to cart on a phone is not ready to publish, no matter how close the homepage looks to theirs. Preview the bestseller, a collection and the cart — not only the homepage they styled for the launch screenshot.

### FAQ

**How do I find out what Shopify theme a website is using?**

Paste the store URL into a Shopify theme detector. You get the theme name, whether it comes from the Theme Store, and a link to the listing when there is one.

**Can I see a competitor’s theme if they renamed it?**

Yes. The finder reads the theme the store was built from, so a renamed Dawn or Impulse still shows as Dawn or Impulse.

**What does custom Shopify theme mean?**

The storefront was not built from a Theme Store theme you can buy. An agency built it, or the store runs a headless setup such as Hydrogen.

**Does knowing the theme tell me why they convert better?**

Not on its own. Two stores on the same theme can convert very differently. Audit the product page and look at the ads they send to it.

**Will the store owner know I checked their theme?**

No. The finder reads the public page the way a browser does. It does not log in or install anything.

**Can I check a theme from a product page URL?**

Yes. Homepage, collection or product URL all work. Use a product URL when the homepage is a campaign page.

**Should I switch my store to a competitor’s theme?**

Only if their product page also sells and the layout is the actual gap. Leave the theme when the gap is the offer, the photos or the ads.

## How to Find Winning Products to Dropship on Shopify

URL: https://ninety9.dev/blog/how-to-find-shopify-winning-products-to-dropship.html
Published: 2026-10-25
Category: CRO & Analytics
Reading time: 8 minutes

A practical way to pick Shopify winning products from real demand: filter by country, category and price, then check margin before you build the page or buy ads.

A “winning product” is not a vibe. It is an item people already pay for, at a price you can still advertise after you pay the supplier, the courier and the ad platform.

Most dropshipping stores fail the other way around. They pick a pretty product, build a theme, then discover the landed cost (product plus shipping to the customer) leaves no room for Facebook or TikTok. Or they pick something they cannot explain in one sentence on a product page. Or they pick something they cannot ship to the country they are allowed to sell in.

This guide is the mid-level version of product research: start from demand, filter to what you can actually fulfil, then check the numbers before you write a title tag.

## What “winning” actually means

In Shopify product research, a winning product has three traits you can check without a crystal ball.

**People already order it.** Not “it looks viral.” Recent order volume on a public catalogue is a better signal than a mood board.

**You can ship it to the country you sell in.** A serum that only ships from one warehouse to the US is not a winner if your ads will run in Germany.

**The price can carry ads.** After product cost, inbound shipping, last-mile shipping, payment fees and returns, there is still room for a click. If the only way the maths works is a 12% conversion rate on cold traffic, it is not a winner. It is a hope.

A product on a daily list is demand proof. It is not a profit guarantee. Treat the list as the start of a test, not the end of thinking.

## Filter before you browse

Open a [Shopify winning products](https://checkoutclub101.com/shopify-winning-products-to-dropship/) board and resist the urge to scroll. Set three filters first.

### 1. Country you can fulfil

If you use a supplier that only ships to the United States and Canada, set that. If you can do the EU, set that. The country filter is not a marketing preference. It is a shipping constraint. A product that “wins” in a country you cannot deliver to is a screenshot, not a SKU.

Write the countries on a note before you look at photos. Changing this later usually means changing the supplier, the delivery promise and the ad account targeting.

### 2. A category you can explain

Pick a category you could write a product page for in an afternoon: a claim, two photos, a size or scent, a delivery sentence. If you cannot finish that sentence, skip the category even if the orders look high.

Example (labelled as an example): “Vitamin C serum for dry skin, 30 ml, ships from the US in 5–8 days” is a page. “Assorted gadgets” is not.

### 3. A price band you can advertise

Set a minimum and a maximum in US dollars before you sort. A $7 item often needs too many sales to pay for a click. A $180 item needs reviews, photos and a return policy that look expensive. Mid-level stores usually test in a band they already understand — for many dropshippers that is roughly $18–$60, but your band is the one where your last tests did not go broke.

Then sort by **bestselling (recent orders)**. That is recent demand, not a live “sold today” chart and not a guess from a TikTok comment section.

## A simple scorecard for each card

For each product that survives the filters, write four lines. If you cannot fill a line, drop the product.

| Line | What you write | Fail if |
| --- | --- | --- |
| Offer | One sentence a stranger would understand | You need a paragraph |
| Landed cost | Supplier + shipping to the customer, in the same currency as the selling price | You only have the supplier’s “from” price |
| Selling price | What you would charge on Shopify | You copied the list price with no reason |
| Room for ads | Selling price minus landed cost minus payment fees | The leftover would not cover a cheap click |

You do not need a finance degree. You need the leftover to be large enough that a realistic conversion rate (how many visitors buy) still pays the ad.

If a card shows a rating or a positive-review rate, treat it as a hint, not a verdict. Some supplier listings only return a percentage. Do not invent stars that are not there.

## Check the offer before you build the page

A product that passes the scorecard still needs two public checks.

**Who already sells it.** Paste a store that lists the same item into a [Shopify ads spy](https://checkoutclub101.com/shopify-ads-finder/). Ads that have been live for months are usually paying for themselves. A wall of the same hook means the angle is crowded. You need a sharper claim, a bundle, or a different photo — not a clone of the first creative you see.

**How they price the catalogue around it.** Export that store’s public catalogue with a [Shopify product exporter](https://checkoutclub101.com/shopify-product-exporter/). Sort by price. See whether the hero sits alone or next to add-ons (a travel size, a cloth, a second scent). A lonely hero is harder to raise average order value on. A small family of SKUs is easier to advertise.

If you want the theme and the apps behind a competitor’s page, run the [theme finder](https://checkoutclub101.com/shopify-theme-detector/) and the [app detector](https://checkoutclub101.com/shopify-app-detector/) on the same URL. You are looking for the selling stack (reviews, pop-up, cart drawer), not a reason to copy every app.

## Build the page like a test, not a brand

Once you pick two or three products, build the smallest honest page.

1. Title that names the product and the job (“Vitamin C serum for dry skin”), not a slogan.
2. Price you can defend. If you need a compare-at (the “was” price), it has to be a price you actually charged.
3. Photos you have the right to use. A catalogue export is for research. Copying their images is not the job.
4. Delivery sentence with a country and a window. “Ships from the US, 5–8 business days” is a promise. “Worldwide shipping” is not.
5. One extra offer: a bundle, a quantity break, or a small add-on. Cold traffic rarely stacks a basket unless the page asks.

Then run that exact `/products/` URL through the [CRO Audit for Shopify stores](/cro-audit/). Paid traffic makes a missing add-to-cart expensive. Fix the buy path before you scale.

## A worked pass (example)

Imagine you ship only to the United States, you can explain skincare, and you can advertise between $16 and $40.

You open the winning products board, set country to US, category to Beauty, min $16, max $40, sort by recent orders. Three cards remain. One is a device you cannot explain. One has a landed cost that leaves $2. One is a $18 serum with a $7 landed cost and a one-sentence claim.

You spy a store already selling the serum. Two ads have been live for several weeks with the same “dull skin, seven days” hook. You export their catalogue and see a $12 moisturiser next to it. Your test is the serum plus that moisturiser as a pair, not a twenty-product beauty shop.

That is a winning-product workflow. It is boring. It is how you avoid building a theme around a hunch.

## Mistakes that look like research

**Scrolling without filters.** The board will show you whatever is loud. Filters make it show what you can sell.

**Treating “last 7 days” or “last 30 days” as a live ticker.** Those views rank stored copies of the daily list by peak recent-order volume. They stay still until the next night is stored. Useful for a second look. Not a stock market.

**Copying the first ad you see.** Long-running ads are a clue. They are not a license. Rebuild the hook in your own photos.

**Skipping the margin line.** If you cannot write the leftover after cost and shipping, you do not have a product. You have a picture.

**Building the whole store first.** Theme, apps and brand colours do not rescue a SKU that cannot carry a click. Pick the product, then the page, then the traffic.

## What to do this afternoon

1. Write the countries you can ship to, the category you can explain, and a min/max price.
2. Open the [winning products list](https://checkoutclub101.com/shopify-winning-products-to-dropship/) and set those three filters.
3. Score three cards. Keep two.
4. Spy the ads on one store that already sells them, and export that catalogue.
5. Build two product pages. Audit the URLs. Then buy a small test, not a rebrand.

If the first two fail the leftover-for-ads line, you did not fail product research. You avoided a theme you would have had to unwind. That is the job.

### FAQ

**What is a winning product on Shopify?**

A product people are already buying, at a price that still leaves margin after product cost, shipping and ads. The list shows demand. Your page, your shipping time and your ad cost decide the test.

**Does a trending product mean it will win in my store?**

It means people are already ordering it. Your creative, your margin, your delivery window and the product page still decide whether a test makes money.

**How do I use a list of winning products?**

Pick a country you can ship to, a price you can advertise, and a product you can explain on a Shopify product page. Then check the margin before you spend on ads.

**Why filter Shopify winning products by price?**

A cheap product often needs an unrealistic conversion rate once ads are paid. A high price needs trust on the page. Set a minimum and maximum you can defend.

**How often is a winning products list updated?**

About once a day on a typical board. Bestselling sort uses recent order volume from that day’s list, not orders placed only today.

**Where do I check if a product is already saturated?**

Search the product in the Meta Ad Library, or paste a store that sells it into a Shopify ads spy. Many long-running ads means the angle is crowded and you need a sharper offer, not a copy.

**Should I build a whole store around one winning product?**

No. Test two or three SKUs that share a shipping lane and a story. One hero plus two related add-ons is easier to advertise than a random catalogue.

## How to See the Ads a Shopify Store Is Running

URL: https://ninety9.dev/blog/how-to-see-a-shopify-stores-ads.html
Published: 2026-10-25
Category: CRO & Analytics
Reading time: 8 minutes

See a competitor’s Facebook, Instagram, TikTok and Google ads from their Shopify URL. Use public ad libraries, then match the creative to the price and the landing page.

Shopify ad spy means opening the public ad libraries on the right advertiser, not typing a brand name into Facebook and hoping you found the same page the store pays from.

Paste a competitor’s store. A [Shopify ads spy](https://checkoutclub101.com/shopify-ads-finder/) reads the Facebook, Instagram and TikTok names on the page and opens the Meta Ad Library, the TikTok ad library and the Google Ads Transparency Center on that brand. You see the creatives that are live: the hook (the first claim), the offer, the product, and how long the ad has been running.

Spend is not in those libraries. Do not treat a creative as a winner just because it exists. Treat months of airtime as the clue.

## Why merchants spy on ads

A competitor’s ads tell you what they are willing to pay to say, today.

- The first three seconds, or the first line of copy.
- The product they push hardest — often not the homepage hero.
- The offer: a bundle, a threshold, a “buy two” line, a delivery promise.
- How long that exact ad has been on.

Ads that stay live for months are usually covering their cost. Ads that appear and vanish in two days are tests, or they lost money. You cannot see the row in Ads Manager. You can see the date.

This is useful before you pick a winning product, before you raise a budget, and before you assume your page is the problem. Sometimes the ad is doing the work and the page is leaking. Sometimes the opposite.

## What you actually get

The spy does not log into anyone’s ad account. It does not estimate spend. It opens public pages.

**Meta (Facebook and Instagram).** Active ads for that Page: creative, primary text, start date, platforms. You can later filter by date on the advertiser page if you want older work.

**TikTok.** When the store links a TikTok account, you get the library search for that brand. Watch how long each video has been running.

**Google.** The Ads Transparency Center page for the brand name. Useful when the storefront has no Facebook link at all.

If a store only published a generic `facebook.com` link with no page name, the tool may fall back to a brand-name search. That is slower and sometimes noisier. Still better than guessing which of six similarly named Pages is the one they pay from.

Password-protected stores and stores with no social links give fewer Meta and TikTok results. Google can still try from the name.

## How to read an ad like a merchant

Open three or four long-running ads and ignore the rest for the first pass. Write four words for each.

**Hook.** What do they claim in the first line or the first shot? “Dull by day three” is a hook. A logo sting is not.

**Offer.** Price, bundle, gift, shipping line, or “X left.” If the offer is only a lifestyle film, the landing page is doing the selling — or nobody is.

**Product.** Which SKU is on screen? Screenshot it. You will need the price in a minute.

**Proof.** Reviews on the ad, a before/after, a UGC (user-generated content) face, or nothing. Nothing is common. Note it.

Then open the landing URL the ad points to. That URL is the brief. Do not audit the homepage out of habit if the ad goes to `/products/vitamin-c-serum`.

## Match the ad to the catalogue and the page

Seeing the creative is step one. The money is in the next two tabs.

**Price and variants.** Export the store’s public catalogue with a [Shopify product exporter](https://checkoutclub101.com/shopify-product-exporter/). Find the product from the ad. Write the price, the compare-at (the “was” price) and the variant count. If the ad says “from $18” and the PDP (product detail page) is $32, you now know which number they advertise.

**The page the click hits.** Run that product URL through the [CRO Audit for Shopify stores](/cro-audit/). You want to know whether a stranger can add to cart, whether the price is honest, and whether the page asks for a second item. A good ad into a page that cannot buy is a gift. A good ad into a page that already bundles and reviews is a harder fight.

**The stack on that page.** The [app detector](https://checkoutclub101.com/shopify-app-detector/) names the review widget, the pop-up and the cart drawer. The [theme finder](https://checkoutclub101.com/shopify-theme-detector/) tells you whether they bought a Theme Store theme or built custom. You are not copying the theme. You are learning how much of the “look” is the theme versus apps and photos.

If you are still choosing what to sell, take the product from the ad back to a [winning products](https://checkoutclub101.com/shopify-winning-products-to-dropship/) board and see whether recent demand exists outside that one store.

## A worked pass (example)

You paste `colourpop.com` as a try-store, or a smaller competitor you actually compete with. The spy returns Meta, TikTok and Google.

On Meta, two ads have been live for more than a month. Both open on the same palette kit. The hook is “one palette, five looks.” The offer is a bundle price, not a single pan.

You export the catalogue, find the kit, and see a $28 price with a $36 compare-at. The landing page has reviews and a clean add-to-cart. The app detector shows a review app and an email pop-up.

Your note is not “copy the palette ad.” It is: long-running ads on a kit, advertised as a bundle, landing on a PDP that can sell. If your own kit ad lands on a collection with no price and no add-to-cart, you know what to fix first.

## What not to do with the library

**Do not estimate spend from how “big” the brand feels.** Libraries do not show it. A small store can keep one ad alive for a quarter. A large store can rotate twenty losers.

**Do not save their video and recut it.** Write the hook in your own words. Shoot your own product. Their comments and their pixel (the tracking code on their site) are not yours.

**Do not spy and skip the page.** Creative cannot rescue a form that does not submit. If add-to-cart is missing on their page, you still should not copy the ad onto an equally broken page of your own.

**Do not treat a brand-name search as exact.** Confirm you are on the Page that matches the store’s footer or About link.

## Notes that survive the next campaign

Keep a one-page note per competitor, not a folder of screenshots you will never reopen.

- Store URL and the date you spied.
- Two long-running ads: hook, offer, product, start month.
- Landing handle (`/products/...`) and the price from the export.
- Whether the page can add to cart on a phone.
- One sentence you will not copy: their claim, rewritten in your words.

Update the note when an ad disappears. Disappeared plus a new hook is a test. Disappeared with no replacement can mean the product died.

If two competitors push the same SKU with different hooks, write both. The quieter hook is often the one that still has room.

## When the spy returns almost nothing

No Facebook link, a new store, or a brand that only runs search ads will look empty. That is data.

- Google still opened: they may be buying search or Shopping, not Meta. Your test might need a product feed, not a UGC video.
- Meta opened on the wrong Page: search the footer for a second social link, or the About page.
- TikTok empty and Meta full: do not invent a TikTok strategy because a thread said you must.

A quiet library is cheaper to learn from than a loud one. You are not late. They may not have found a winner either.

## A one-hour workflow

1. Paste the competitor store into the [winning ads spy](https://checkoutclub101.com/shopify-ads-finder/).
2. Open Meta first. Sort with your eyes by start date. Pick two long-running ads.
3. Write hook, offer, product, proof.
4. Open the landing URL. Audit it.
5. Export the catalogue. Write the price behind the ad.
6. If you still want the product, check demand on the winning products board and whether you can ship to the same country.
7. Rebuild one angle. Buy a small test. Do not rebuild their whole account.

You now know what they pay to say. You also know whether the page behind that ad is worth beating, or whether the gap is the offer and you should pick a different SKU.

Save the two landing URLs. When you spy again next month, you will know whether they still send the same click to the same page. A new landing handle is a new test — audit it before you assume the old notes still apply.

### FAQ

**How do I see what ads a Shopify store is running?**

Paste the store URL into a Shopify ads spy and open the Meta, TikTok and Google results. You land on the active ads for that advertiser instead of searching the brand name and hoping.

**Can I see a competitor’s Facebook and Instagram ads for free?**

Yes. The Meta Ad Library is public. It shows the creative, the copy, the start date and the platforms. Spend is not in the library.

**Does a Shopify ad spy show TikTok ads too?**

Yes, when the store links a TikTok account or the brand name can be searched. The result opens the TikTok ad library on that brand.

**Does it show how much a competitor spends?**

No. Public libraries show creatives, copy, start dates and platforms — not spend or results. How long an ad has been running is the usual proxy.

**What if the store has no Facebook or Instagram link?**

The Google advertiser lookup still runs from the brand name. For Meta and TikTok you can search the library by name once you know it.

**Does Shopify ad spy show inactive ads?**

Libraries default to what is active. Meta also lets you look by date once you are on the advertiser page. The spy’s job is to land you there.

**How do I use a competitor’s ads without copying them?**

Write down the hook, the offer and the product. Check the landing page. Rebuild the angle in your own photos and copy.

## How to See What Apps a Shopify Store Is Using

URL: https://ninety9.dev/blog/how-to-see-what-apps-a-shopify-store-uses.html
Published: 2026-10-25
Category: CRO & Analytics
Reading time: 8 minutes

See the storefront apps on a competitor’s Shopify shop — reviews, pop-ups, upsells, chat, subscriptions — with App Store links. Run it on a product page, not only the homepage.

Most of what makes a competitor’s Shopify store feel finished is apps: the review block under the buy button, the pop-up that asks for an email, the upsell in the cart drawer, the chat bubble, the subscribe-and-save toggle.

A [Shopify app detector](https://checkoutclub101.com/shopify-app-detector/) names those apps on any public store so you stop guessing which review app or cart app they picked. You get logos and Shopify App Store links. You can open the same listing, read the price, and decide whether that job belongs on your shop.

It reads the storefront a shopper sees. Apps that only run inside the Shopify admin never load on the public page, so they do not show. That is a feature. You care about what touches the sale.

## What the detector can and cannot see

**It can see** reviews (Judge.me, Loox, Yotpo, Okendo, Stamped), email and SMS (Klaviyo, Omnisend, Attentive, Postscript), upsells and bundles (Rebuy, ReConvert, Bold and others), chat (Gorgias, Tidio, Shopify Inbox), subscriptions (Recharge, Skio), loyalty (Smile, LoyaltyLion), pop-ups, and other storefront scripts.

**It cannot see** accounting, inventory, shipping labels, wholesale backends, or anything that never injects a script or a block on the published theme.

If you “know” they use an inventory app, you will not prove it here. You also do not need to. Inventory does not change the add-to-cart.

## Run a product page, not only home

Homepages are campaigns. Product pages are where review widgets, size charts, subscription offers and frequently-bought-together blocks actually load.

Paste a `/products/` URL when you have one. If an app you expected is missing, run a collection or a second product. Some apps only embed on certain templates.

Try-stores on the tool (`gymshark.com`, `colourpop.com`) are useful to see what a complete result looks like. Then paste the competitor you actually fight.

They will not get a notification. The request looks like a normal visit.

## Group the list by job

A raw list of twelve apps is noise. Sort it into jobs.

| Job | What you are looking for | Keep if |
| --- | --- | --- |
| Reviews | Stars under the title or in the buy box | Shoppers can read a real review without a new tab |
| Email / SMS | Pop-up or slide-in after a few seconds | It does not cover add-to-cart on first paint |
| Upsell / bundle | Pair, break, or add-on near ATC or in the cart | One offer, not four |
| Cart | Drawer versus a jump to `/cart` | The drawer shows total, shipping goal and checkout |
| Chat | Bubble | It does not sit on the buy button on mobile |
| Subscriptions | Toggle or “subscribe and save” | It is on the product you would advertise |
| Loyalty | Points line | It is readable, not a second checkout |

You do not install a job you cannot see working. A review app with no reviews on the PDP is a logo. A pop-up that hides the price is a leak.

## After the names, check the page

Apps explain the furniture. They do not explain whether the page sells.

Run the same URL through the [CRO Audit for Shopify stores](/cro-audit/). You want the buy path first: visible add-to-cart, honest price, selectable variants, stock that matches the ad. Only then do you care which review app they chose.

If you also want the theme those apps sit on, use the [Shopify theme finder](https://checkoutclub101.com/shopify-theme-detector/). If you want the ads that send traffic to that stack, use the [ads spy](https://checkoutclub101.com/shopify-ads-finder/). If you want prices next to the apps, [export the catalogue](https://checkoutclub101.com/shopify-product-exporter/).

Our own stack, when you need the job rather than their brand of widget: [Addly](/apps/addly.html) for bundles and quantity breaks on the product page, [Addy](/apps/addy.html) for the cart drawer, [Goalify](/apps/goalify.html) for a free shipping bar, [Monet](/apps/monet.html) for one timed popup, [Reviso](/apps/reviso.html) for edits after payment. Install the job you are missing. Do not install five because their detector list had five.

## A worked pass (example)

You paste a competitor product URL. The detector returns Judge.me, Klaviyo, a cart drawer app and a subscription app.

On the page, stars sit under the title. The Klaviyo pop-up waits until you scroll. The drawer opens on add-to-cart with a shipping goal. The subscribe toggle is on this SKU.

Your note: reviews and a delayed email capture are doing work. You already have a cart drawer. You do not need their subscription app if you do not sell a refill.

You skip Smile because you never saw a points line. You skip the chat bubble because it sits on the add-to-cart on your phone.

That is using the detector. Copying the whole list is not.

## Common misses

**Homepage only.** You will under-count product apps.

**Installing everything they have.** Stacks fight. Two pop-ups and two upsells is how add-to-cart disappears.

**Assuming a missing app means they do not use it.** Try another URL. Then accept that admin apps stay invisible.

**Skipping the App Store listing.** Price, reviews and “Built for Shopify” sit there. The detector is the name. The listing is the bill.

**Forgetting your own store.** Run yours too. The useful output is the gap: they have reviews on the PDP and you do not. Not “they have eleven apps and you have four.”

## How to read a messy list

Some stores load two review apps, an old pop-up and a new one, plus a leftover upsell from a trial they forgot to uninstall. The detector will show the leftovers.

On the live page, switch the leftovers off with your eyes:

- Two review blocks: they migrated and did not delete the first. You only need one.
- A pop-up and a slide-in: the first one that covers the price is the leak. Time-to-first-popup on mobile matters more than the brand of the app.
- An upsell on the PDP and another in the drawer and a popup: that is three asks. Pick the highest-intent one (usually the drawer or the block under add-to-cart).

If you cannot tell which script is which, disable candidates on *your* theme one at a time after you install. Never uninstall theirs. You are reading, not editing.

## Apps that look impressive and do nothing

**Loyalty on a store with no repeat reason.** Points on a one-time gadget do not raise the first order.

**Subscriptions on a product nobody refills.** A toggle that saves 10% on a suitcase is a discount with extra UI.

**Chat that opens on scroll.** On a phone that is a tap target over the buy button.

**A/B test apps you will not read.** If nobody on the team opens the report, the app is a script tax.

The detector will still name them. Your job is to leave them off your install list.

## Build a gap list, not a shopping list

Write three columns: they have / we have / we will add this month.

Example (labelled as an example): they have Judge.me on the PDP, you have none. They have a drawer with a shipping goal, you jump to `/cart`. They have Klaviyo, you have Shopify Email. You add reviews this week, a drawer next week, and you leave email alone until the page can sell.

That list is the only output that matters. A screenshot of twelve logos is not a plan.

Install order matters. Reviews first if the page has no proof. Drawer second if checkout is still `/cart`. Email last. An email pop-up on a page that cannot sell trains you to measure the wrong thing.

When two apps do one job (two review widgets, two pop-ups), pick one and delete the trial leftover. Extra scripts slow the buy button and confuse the shopper. The detector named both so you can choose, not so you can stack them.

## A thirty-minute workflow

1. Pick the product URL you would advertise against.
2. Paste it into the [app detector](https://checkoutclub101.com/shopify-app-detector/).
3. Group by job. Open at most three listings.
4. Audit the same URL.
5. Note theme and ads only if the page can sell.
6. Add one missing job to your store. Measure a week.

You now know the selling stack on that page. You also know which of those apps you can ignore.

Re-run the detector after they redesign. Theme swaps drop app embeds. A review app that vanished from the homepage may still sit on the product template — check both URLs before you assume they ripped it out.

If you run your store and theirs on the same day, write the date on the gap list. App stacks change after Black Friday and after a theme hire. A list from last spring is a different shop.

### FAQ

**How can I see what apps a Shopify store is using?**

Paste the store URL into a Shopify app detector. You get the storefront apps with logos and App Store links. Homepage, collection or product page all work if the page is public.

**Does it show every app installed on the store?**

No. It shows apps that load on the storefront. Accounting, inventory and shipping-label apps leave nothing on the page a shopper loads.

**Why is an app I know they use missing?**

It only runs in the admin, or it only loads on a page you did not check. Try a product URL from the same store.

**Will the competitor know I checked their apps?**

No. Nothing is installed, nothing is logged in, and nothing appears in their admin.

**Can it find Klaviyo, Judge.me or Rebuy?**

Yes, when those apps load on the public storefront. You get the name, logo and a listing link so you can compare reviews and pricing.

**Is a Shopify app detector free?**

The one this guide uses is free, with no account and no app to install. Paste a URL and read the list.

**What should I do after I see a competitor’s apps?**

Keep the apps that support a conversion you can see on their product page. Skip the rest. Run a CRO audit on that page so you are not copying a stack that does not sell.

## How to Set a Shopify Free Shipping Bar from AOV

URL: https://ninety9.dev/blog/how-to-set-a-shopify-free-shipping-bar-from-aov.html
Published: 2026-10-25
Category: Shipping & Fulfilment · App: Goalify: Free Shipping Bar PRO
Reading time: 8 minutes

Turn average order value into free shipping, gift and discount goals. Use 1.2×, 1.5× and 2× as starting points, preview the bar, then paste the dollars into your cart app.

Merchants search for a free shipping bar, then type a round number that feels close to their average order value (AOV — sales divided by orders). That is how a $50 store ends up with a $150 threshold nobody reaches, or a $48 store that already clears $45 and gives away postage on half the carts.

A [Shopify progress bar calculator](https://checkoutclub101.com/shopify-progress-bar-calculator/) turns AOV into three goals you can paste into a cart app: free shipping at **1.2× AOV**, a free gift at **1.5×**, and 10% off at **2×**. Those multiples are the usual ecommerce starting points. The first goal is close enough to hit with one extra item. The later goals sit further up the same bar.

The calculator does not install anything. It does not quote carrier rates. It sets the reward the shopper sees. You still need your real postage cost before you waive shipping at that total.

## Why the first goal has to sit just above a typical order

A cart progress bar is a remaining-amount message. It is not a conversion feature by itself.

If most carts already clear the line, nobody adds a second item. You subsidised behaviour you already had. If the remaining amount looks like a second full order, people ignore the bar and you trained them to ignore the next one too.

The working first goal is one extra item they already sell, with contribution (the money left after product cost) still larger than the postage you will pay. The dummy product in a good preview sits around **0.85× AOV** so a typical order is close to free shipping, not over it.

Example (labelled as an example): AOV is $80. Free shipping at 1.2× is $96. A $68 tote leaves $28 to go. A $28 pouch is a real add. A $90 second tote is not.

## Get AOV from a normal window

In Shopify: **Analytics → Reports**, or the overview card that shows total sales and orders. Divide sales by orders for the period you sell in now.

Skip a holiday spike unless you are setting a holiday bar. Include discounts the way Shopify reports sales, so you do not set a goal on a number shoppers never paid.

Write the currency you charge in. A bar in the wrong currency is not a goal.

## Run the three multiples, then check postage

Type AOV into the [progress bar calculator](https://checkoutclub101.com/shopify-progress-bar-calculator/). You should see three dollars.

| Reward | Multiple | What it is for |
| --- | --- | --- |
| Free shipping | 1.2× AOV | First add-on. Most of the work. |
| Free gift | 1.5× AOV | Second rung if the gift is cheap to you. |
| 10% off | 2× AOV | Stretch. Easy to give away margin if you are not careful. |

Then do the only maths that matters on the first line: **gross profit on the extra item must beat average shipping cost** on the orders you move. If it does not, raise the dollar goal in the app, pick a cheaper gift, or do not promise free shipping.

Per-country thresholds exist because both sides of that equation change at the border. One global $75 bar is wrong for most shops that sell in more than one market. Set the number per country when you can.

## Preview both layouts

The calculator’s dummy page is there so you can see the two layouts cart apps usually ship.

**Stacked sentences.** Each reward and its remaining amount, on the product page or in the drawer. Clear when the gifts are different.

**One track with milestones.** Shipping, gift and discount on a single bar. Quieter. Fits a slim drawer.

Upsells in the preview should be priced to finish the first or second goal — not random bestsellers. If the suggested add-on does not close the gap, it is decoration.

Copy the dollars into the app you already use. [Goalify](/apps/goalify.html) paints a stacked or milestone free shipping bar and can hold a different number per country on paid plans. [Addy](/apps/addy.html) can put that bar in the cart drawer with the add-ons that close the first two goals. The [app detector](https://checkoutclub101.com/shopify-app-detector/) shows which cart and bar apps a competitor already loads, if you want a second reference.

## Put the bar where the basket is evaluated

The cart drawer is the highest-value place. That is where they see the running total and can add one more thing without leaving. The cart page is second. The product page can help when people add one item and checkout — but a bar at 0% before anything is in the cart is discouraging.

Copy should be the remaining amount, second person, in their currency: “You are $28 away from free shipping.” A rule (“Free shipping over $96”) makes them do arithmetic. When they cross, celebrate it, then show the next goal if you run a ladder.

We already wrote the longer copy and placement guide for the [free shipping progress bar](/blog/free-shipping-progress-bar-guide.html), and the percentile method if 1.2× AOV is the wrong first cut. This page is the calculator and the three locked multiples.

## A worked pass (example)

AOV from the last 60 days is $80. Postage you absorb is about $7. The calculator prints $96, $120 and $160.

You sell a $28 pouch with about $18 contribution. One pouch at $96 still leaves you money after $7 postage. You set free shipping at $96. The gift at $120 is a $4 sample you already pack. You skip 10% off at $160 until you see whether anyone climbs that far.

You type $96 / $120 / $160 into Goalify, enable the bar at the top of the Addy drawer, and leave the homepage alone. After two weeks you look at attach rate on the pouch, not at AOV in isolation.

## Mistakes

**Copying a competitor’s $75 bar.** That is their postage and their AOV, not yours. Export their prices if you want, but do not import their threshold.

**Setting the bar at AOV.** Half of orders already clear it.

**Promising free shipping you cannot pay for.** Raise the number or charge shipping under the line.

**Three rewards on day one.** Get the first goal honest. Add the gift when the first one is hit often enough to believe.

## When 1.2× is the wrong first cut

The multiples are a start, not a law.

**Heavy or low-margin goods.** Postage is a large share of the order. 1.2× can still lose money. Raise the dollar goal or use a gift instead of free shipping.

**Almost every cart already sits above 1.2×.** The bar is not doing work. Try 1.3–1.4×, or add the gift as the first visible goal.

**AOV is pulled up by a few huge orders.** Use a typical order (the median — the middle cart — if you can get it) instead of the average. Averages lie when one wholesale invoice sits in the same report.

**You sell in three countries.** Run the calculator once per market’s AOV and postage. Do not convert $96 and hope.

If you want the percentile method (60th–75th of the order list) instead of a multiple, use that and still paste the resulting dollars into the same bar.

## Copy you can paste

Use the remaining amount. Keep it short.

- “You are $28 away from free shipping.”
- “Add $28 to unlock free shipping.”
- After the cross: “Free shipping unlocked.” Then the next line if you have a gift.

Avoid “almost there” with no number. Avoid stating only the threshold. Avoid a second language that still shows the first currency.

Put the same number in the shipping policy so the bar and checkout do not disagree. A bar that completes at $96 while checkout still charges $9 at $94 is how you teach people not to trust the next goal.

## This afternoon

1. Write AOV from a normal window, and your average postage.
2. Open the [progress bar calculator](https://checkoutclub101.com/shopify-progress-bar-calculator/) and type AOV.
3. Check the $28-style add-on still leaves contribution after postage.
4. Paste the first goal into your bar. Put it in the drawer.
5. Recrawl the product URL with the [CRO Audit for Shopify stores](/cro-audit/) if the bar fights add-to-cart.

You now have dollars you can defend. The bar is just how the shopper sees them.

If you change AOV after a catalogue price update, run the calculator again. A bar set last spring on $64 AOV is the wrong bar on $80 AOV. The multiples stay. The dollars do not.

A weekly glance is enough: AOV up, leave the bar or nudge it. AOV down after a sale, do not drop the goal just to keep the bar “winning.” A cheap bar that already qualifies every cart is decoration. Decoration trains people to ignore the next message you put in the drawer.

### FAQ

**How do I calculate a Shopify free shipping threshold?**

Take average order value and multiply by a number a little above 1. A common start is 1.2× so a typical cart is close, but not already there. Raise the dollar goal if free shipping would wipe your contribution.

**What is a good free shipping goal for a Shopify store?**

One a shopper can hit with one extra item you already sell, that still leaves money after you pay postage. Use your AOV and your delivered cost.

**What is a Shopify progress bar?**

A message in the cart — usually the drawer — that shows how close the order is to a reward: free shipping, a gift or a discount. It updates as they add items.

**Should I use a stacked cart bar or a milestone bar?**

Stacked goals spell out each reward. A milestone track is quieter and fits a slim drawer. Pick the layout your theme can actually show.

**Where do I find average order value in Shopify?**

Analytics → Reports, or the overview that shows total sales and orders. AOV is sales divided by orders. Use a recent window that matches how you sell now.

**Will a free shipping bar raise AOV?**

Only if people can reach it and the extra item still leaves you money. A bar that is already cleared, or that needs another $80, usually does neither.

**Are the progress bar numbers saved?**

On the calculator this guide uses, no. It runs in the browser. Nothing is sent away.

## 20 Shopify Upsell Examples You Can Set Up Today

URL: https://ninety9.dev/blog/shopify-upsell-examples.html
Published: 2026-10-13 (updated 2026-10-13)
Category: Average Order Value · App: Addly: AI Bundles app & Upsell
Reading time: 7 minutes

Twenty Shopify upsell examples you can set up on the product page, in the cart and before checkout. Patterns to copy, with prices to check against your own orders.

These are twenty upsells you can set up today, written as patterns. The prices below are worked examples, not a named store's results. If a number is not from your orders, it does not belong on the offer.

Two surfaces do most of the work. The product page sells the set. The cart sells one more thing. A popup is a third ask, and only if the first two did not already make it.

## On the product page

[Addly](https://apps.shopify.com/addly?src=Ninety9Blog) owns these. The price is a Shopify discount, so the page and checkout match.

| # | Example | Why it is the one to copy |
| --- | --- | --- |
| 1 | A fixed kit: device, case, cable | One price, one decision, three SKUs you already stock |
| 2 | A pair taken from real orders, cleanser and moisturiser | The second item comes from what people bought, not from a hunch |
| 3 | A quantity break on the hero SKU | The second and third unit are the whole upsell |
| 4 | Mix and match, three for a set price | Choice stays. The discount is still one rule |
| 5 | A paid add-on under the buy button | A pouch, a sample, engraving. Optional and visible |
| 6 | The refill pouch next to the bottle | Same product, lower price per use, still a choice |
| 7 | Good, better, best as three sets | One selected. Not seven cards |
| 8 | The quantity break on the variant they picked | The size in the cart is the size that is discounted |

## In the cart

[Addy](https://apps.shopify.com/addy-cart-drawer?src=Ninety9Blog) shows one of these. One click, no reload.

| # | Example | Why it is the one to copy |
| --- | --- | --- |
| 9 | The case for the item just added | Completes the product they already chose |
| 10 | A second unit at the quantity price | The break they skipped on the page, asked once |
| 11 | Gift wrap as a line they add | A fee with a yes, not a fee that appears |
| 12 | Shipping protection, off until they tick it | Optional. Pre-ticked is a dark pattern |
| 13 | One product that crosses the free-shipping line | The bar named the gap. The offer fills it |
| 14 | A delivery date under the lines | Not an upsell. It stops the bounce that kills the upsell |

## Before they pay, and as a goal

[Monet](https://apps.shopify.com/monet?src=Ninety9Blog) asks at add to cart, when checkout starts, or on exit. One product. [Goalify](https://apps.shopify.com/goalify?src=Ninety9Blog) is the goal on the bar.

| # | Example | Where |
| --- | --- | --- |
| 15 | A travel size after they add the full size | Add to cart, Monet |
| 16 | The matching shade as checkout starts | Monet, then stop |
| 17 | The cheaper format when they move to leave | Exit, once |
| 18 | Free shipping, then 10% off, then a gift | Goalify, three thresholds, one bar |
| 19 | A gift that adds itself when the cart qualifies | Goalify. The bar warned them |
| 20 | The add-on they removed, offered once | Exit or the cart. Not both |

Do not run 15 and 9 as the same SKU. Do not run 13 and a popup that also tries to close the shipping gap. One gap, one offer.

A recommendation after they have paid belongs on the edit screen in [Reviso](/apps/reviso.html), if they came back to change the order. It does not replace 1 through 14.

## Six of them, built with numbers

These are setups. The prices are examples so the arithmetic is visible. Use your cost.

**1. The kit.** Device $80, case $18, cable $12. Sold separately that is $110. A set at $99 is $11 off, about 10%. If the three cost you $48 landed, the set still has $51 before ads and the label. Show one price under the buy button. [Addly](https://apps.shopify.com/addly?src=Ninety9Blog) creates that as a Shopify discount, so the page and checkout match. A widget price checkout ignores is not a kit.

**3. The quantity break.** One jar $28, two $48, three $66. The second jar is $20, the third is $18. Put the tiers on the product page, on the variant they selected. A break that applies to a size they did not pick is a surprise at checkout. The margin check is the same worksheet as any other product discount. Two product discounts on that jar, the break plus a sitewide sale, are usually one cut too many. That is in [discount stacking](/blog/shopify-discount-stacking-explained.html).

**9. The case in the cart.** They added the device. [Addy](https://apps.shopify.com/addy-cart-drawer?src=Ninety9Blog) shows the case once, one click, no reload. If the product page already sold the kit, the drawer does not sell the case again.

**13. The shipping closer.** The bar says $16 to go. One product they have a reason to want costs $18. Offer that product, not a grid. If you have no honest $18 add, change the threshold. Do not invent a cheap add-on to force the bar to complete.

**18. Three goals.** Free shipping at $75, 10% off at $100, a pouch at $120. One bar, in order. [Goalify](https://apps.shopify.com/goalify?src=Ninety9Blog) reveals the next goal when the current one completes, and it can add the pouch when the cart qualifies. Publishing all three sentences at once, with no progress, is a poster. The sequence is the offer.

**19. The gift.** The pouch costs you $2.10. It appears at $0 when the cart crosses $120, and it leaves if the cart drops back. The bar said it was coming. A gift that appears for the first time on the order status page feels like a mistake, even when the price is zero.

## How to choose the two you will actually run

Pull the last ninety days of orders. For the hero product, list the other SKUs that show up in the same order. The pair with a real count is example 2. The hero's own quantity break is example 3, if a second unit is something people can use. Those two are the product page.

Then look at carts that stalled under the shipping threshold. If one SKU would have closed the gap often, that is example 13, and it lives in the drawer. If the stalled carts have nothing sensible to add, the threshold is wrong. Fix the number before you design an upsell to paper over it. The method is in [how to set free shipping over $X](/blog/how-to-set-up-free-shipping-over-x-shopify.html).

Leave the popup for a gap the page and the drawer are not already covering. [Monet](https://apps.shopify.com/monet?src=Ninety9Blog) asks at add to cart, at checkout, or on exit. One product. If example 9 and example 15 are the same SKU, delete 15.

| Live this week | Holds |
| --- | --- |
| A set or a pair on the hero | Addly |
| One complement, or the item that closes shipping | Addy |
| A goal the bar can explain | Goalify |
| One ask, if the first two did not already make it | Monet |
| A recommendation if they come back to edit | Reviso |

## What to count after a week

You do not need a published benchmark. From your own orders, count:

- Orders that contain the set, versus orders of the hero alone.
- Drawer adds of the complement that are still in the order at payment.
- Carts that crossed the threshold after the closer was shown.
- Popups closed with no add. A high close rate means the moment or the product is wrong.

Stop at two offers if those counts are still noisy. Twenty live offers is how the same shopper sees the case three times and trusts the price less.

Variant matters on the break and on the pair. A two-pack price that applies to a size they did not select will look like a stacking error at checkout. Set the break on the variant in the cart. Addly can do that. A pair that ignores the shade they picked will recommend the wrong bottle. Pin the shade when the campaign is about one shade. Use purchase patterns when any shade is a fair suggestion.

Install [Addly](https://apps.shopify.com/addly?src=Ninety9Blog) for the product page. The cart version of this list is in [in-cart upsells that convert](/blog/in-cart-upsells-that-convert.html).

### FAQ

**Are these from specific Shopify stores?**

They are setups, not a store tour. The prices are examples so you can check margin before you publish. Copy the pattern, then check it against your own orders.

**Which example should I ship first?**

The pair or the quantity break on the product you already sell most, in Addly. Then one cart complement in Addy. Stop there for a week.

**Can I run a popup and a cart upsell for the same item?**

You can. You should not. The shopper sees the same product twice and trusts the price less.

**Where do free gifts fit?**

As a goal on the bar, added when the cart qualifies. Goalify. Not as a surprise line with no remaining amount.

**What about an upsell after they pay?**

That is a new order, or an edit-screen recommendation in [Reviso](/apps/reviso.html). It is not a substitute for the offer they should have seen before checkout.

**How do I know a pair is real?**

Count orders in the last ninety days that contain both products. If that pair is rare, it is a hunch. Put a hunch on a campaign, not on every product page.

**How many of the twenty should be live?**

Two. The product-page offer and one cart offer. Add a popup only if those two are not already asking for the same item.

## Best 5 Shopify bundle apps (2026)

URL: https://ninety9.dev/blog/best-shopify-bundle-apps-2026.html
Published: 2026-10-13 (updated 2026-10-14)
Category: Bundles & Upsells · App: Addly: AI Bundles app & Upsell
Reading time: 9 minutes

We tested Addly on our own storefront and compared Kaching, Fast Bundle, Pumper and Shopify Bundles from their 2026 listings. Verdicts, screenshots, honest trade-offs.

A Shopify bundle app puts more than one product, or more than one unit, into a single decision on the product page. Merchants search "Shopify bundles" when the catalogue already has a set people should buy together, and "Shopify bundle app" when the theme cannot build that set on its own.

This is our ranking, not a poll. [Addly](https://apps.shopify.com/addly?src=Ninety9Blog) is our app, it is first, and the reasons are in the screenshots and the plans, not in a fake review count. Kaching, Fast Bundle and Pumper have thousands of public reviews. Addly has 111. If you only buy the biggest listing, stop here and install one of those. If you want one discount that still holds a pair, a ladder and a box the shopper builds, keep reading.

![Bundle choices with a highlighted pack, a live total and one add button](/assets/img/blog/best-shopify-bundles-apps-2026-inline.jpg "One decision, one total, one button. A wall of bundle types is how the page stalls.")

## How we tested these Shopify bundle apps

We installed Addly and used it. Addly screenshots are listing examples of that product UI, not a named merchant store.

Competitor screenshots in the verdicts are from each app's public Shopify App Store gallery as of October 2026. They are labelled as listing examples. We did not capture admin we do not have, and we did not invent storefronts. Ratings, prices and plan caps are from those same listings.

The [Shopify product bundles guide](/blog/shopify-product-bundles-guide.html) is the brief. The list weights:

1. **How many offer shapes live in the app** — fixed sets, pairs, quantity breaks, mix and match, add-ons.
2. **Whether the cheap plan still includes those shapes.**
3. **Whether the bill follows store orders**, not a cap on "extra revenue" the app attributes.
4. **Whether the pair can come from orders**, not only from a collection you tagged by hand.

## Comparison table

| Rank | App | Rating | From | Offer shapes on the cheap plan | How you pay later |
| --- | --- | --- | --- | --- | --- |
| 1 | [Addly](https://apps.shopify.com/addly?src=Ninety9Blog) | 4.9 / 111 | Free, then from $15/mo | Sets, pairs, quantity breaks, mix and match, add-ons | Shopify plan, no revenue cap |
| 2 | [Kaching Bundles](https://apps.shopify.com/bundle-deals) | 5.0 / 6,271 | Free to install, paid from $14.99 | Bundle deals, with a revenue ceiling on paid plans | Attributed revenue, capped |
| 3 | [Fast Bundle](https://apps.shopify.com/fast-bundle-product-bundles) | 5.0 / 3,541 | Free on development stores, then $19 | Bundles, with AI pairs starting on paid | Bundle-sales caps at $19, $49, $139 |
| 4 | [Pumper](https://apps.shopify.com/pumper-quantity-breaks-product-bundles-discounts) | 4.9 / 3,557 | Free until $300 extra revenue | Quantity breaks and bundles, then a cap | $9.99, $29.99, $49.99 on extra revenue |
| 5 | [Shopify Bundles](https://apps.shopify.com/shopify-bundles) | 2.9 / 568 | Free | Fixed bundles and multipacks | Stays a pack builder |

## 1. Addly — our pick, and the one we actually ran

Addly is a Shopify bundle app for the product page and the offers that show up after the first set is live. Frequently bought together can be drafted from purchase history, or picked by you on a new shop. The same install runs a [quantity break](/blog/quantity-breaks-vs-volume-discounts.html) per variant, a [mix and match](/blog/build-a-box-mix-and-match-bundles.html) box, and add-ons. Offers go through Shopify's own discounts, so the widget price is the checkout price.

Thirteen languages are on the install. Live preview and offer analytics are too. Free includes up to three Basic offers. Unlimited adds Markets. Advanced adds AI recommendations, bundle discounts and targeting. Paid prices follow your Shopify plan, from $15 / $20/mo. Built for Shopify, 4.9 from 111 reviews.

That review count is the honest gap. Kaching has fifty times as many. Addly still wins this list because there is no revenue cap, and because the pair can come from real orders instead of a collection you tagged by hand.

![Addly quantity breaks on a product page](/assets/img/apps/addly/shot-2.png "Example from the Addly listing: a quantity break on the product page, not a named merchant store.")

A quantity break is the offer most ladder apps stop at. Addly still runs the pair and the add-ons in the same install.

![Addly frequently bought together and add-on widgets](/assets/img/apps/addly/shot-3.png "Example from the Addly listing: a pair, a slider, and add-ons on the product page.")

A mix-and-match box is the offer a ladder app usually does not cover. If you already know you only need "buy 2, save more", skip to Kaching. If you will need the pair or the box by the next collection drop, start in Addly so you are not migrating discounts later.

**Pros**
- Sets, pairs, quantity breaks, mix and match and add-ons in one Shopify bundle app
- A free plan you can try, then paid prices by Shopify plan — no revenue cap
- Pairs from real orders, or chosen by you
- No cap on attributed revenue

**Cons**
- 111 reviews, not several thousand
- Newer as a full merchandising app than the Kaching-era quantity-break widgets
- If you only need a sealed multipack, Shopify Bundles is simpler and free

**Verdict.** Install Addly if the product page has to sell more than one shape of offer and you do not want the bill to jump when the bundle works. It is our app. The screenshots are listing examples, not a merchant we do not name.

The same offer can show in the [Addy](/apps/addy.html) drawer. Do not publish it twice. Pick the surface.

## 2. Kaching Bundles

[Kaching](https://apps.shopify.com/bundle-deals) is the high-review quantity-break suite. 5.0 from 6,271 reviews. The listing is free to install. Paid plans at $14.99, $29.99 and $59.99 cap additional revenue at $1,000, $5,000 and $10,000.

That review base is real. A lot of Shopify stores learned the ladder widget here, and it is still a clean pattern when "buy more of this SKU" is the whole job. We did not run Kaching in our test store. The ranking is from the listing: a known widget, a revenue meter, and a plan question the week you also need a pair from orders or a box.

**Pros**
- Very large review base
- Familiar quantity-break widget
- Fine if a ladder is the only offer you will run this year

**Cons**
- Paid plans cap additional revenue
- The next offer shape is a plan question, not a default
- $14.99 is the start of the paid ladder, not the whole product

![Kaching Bundles quantity-break editor with a Single Duo Trio preview](/assets/img/blog/listings/kaching-bundles.png "Example from the Kaching Bundles listing: quantity-break deals in admin, with a Single / Duo / Trio preview.")

**Verdict.** Second, not because it is a bad app. It is the mature ladder. Pick it if you already live in Kaching and you only need quantity breaks. Pick Addly if the same SKU also needs a pair or a mix-and-match box, and you do not want a cap on the extra the bundle makes.

## 3. Fast Bundle

[Fast Bundle](https://apps.shopify.com/fast-bundle-product-bundles) is named for pace. 5.0 from 3,541 reviews. Free on development stores. Paid plans at $19, $49 and $139 follow monthly bundle sales, with caps around $1,000, $3,000 and $10,000. AI frequently bought together starts on the paid side.

Speed is a preview. A fast empty bundle is still empty. A suggestions feature that begins at $19 is a simpler app than the listing headline. The listing is enough to rank it: lots of social proof, a meter on bundle sales, AI pairs not on the free product.

**Pros**
- Large review base
- Built around getting a bundle onto the page

**Cons**
- Bundle-sales caps on the paid plans
- AI pairs are not the free product
- $139 is a long way from a $19 experiment

![Fast Bundle buy-more ladder on a product page](/assets/img/blog/listings/fast-bundle.png "Example from the Fast Bundle listing: a buy-more ladder on a product page.")

**Verdict.** Third. Use it if you want a bundle on the page this afternoon and you can live with a sales cap. Use Addly if the pair should come from orders on the same plan you already pay.

## 4. Pumper

[Pumper](https://apps.shopify.com/pumper-quantity-breaks-product-bundles-discounts) leads with quantity breaks and attaches bundles. 4.9 from 3,557 reviews. Free until about $300 of extra revenue, then $9.99, $29.99 and $49.99.

The free band ends when the offer works. That is a different contract from a free plan with up to three Basic offers and no revenue cap. A quantity-break app with bundles attached is still a ladder first. The set, the pair and the box are secondary.

**Pros**
- Large review base
- A free band for a small extra-revenue number

**Cons**
- The meter is attributed revenue
- The ladder is the product. The other shapes are attached.
- The free band ends when the bundle sells

![Pumper quantity break widget with 1 2 and 3 unit tiers](/assets/img/blog/listings/pumper.jpg "Example from the Pumper listing: a 1 / 2 / 3 unit quantity break.")

**Verdict.** Fourth. Close to Kaching in shape, with a smaller free revenue ceiling. If the meter is the problem, Addly's Shopify-plan prices are the cleaner bill.

## 5. Shopify Bundles

[Shopify Bundles](https://apps.shopify.com/shopify-bundles) is the first-party pack builder. Free. 2.9 from 568 reviews. You group products into a fixed bundle or a multipack, and Shopify sells that group.

That is the simpler Shopify bundle app, and for a sealed kit it is the right first try. It does not draft a pair from orders, run a variant-level quantity break, or let the shopper build a box. The 2.9 rating is the public record of that limit, not a rumour.

**Pros**
- Free
- Native fixed bundles and multipacks
- No third-party discount to reconcile

**Cons**
- 2.9 from 568 reviews
- No quantity breaks, mix and match, or pairs from orders
- A pack builder, not a merchandising app

![Shopify Bundles admin creating a fixed pack](/assets/img/blog/listings/shopify-bundles.jpg "Example from the Shopify Bundles listing: create a fixed pack in admin.")

**Verdict.** Fifth, and still useful. Install it for one fixed pack. Replace it the week the catalogue needs a second shape.

## Which Shopify bundle app should you install?

| If you need | Install |
| --- | --- |
| Sets, pairs, quantity breaks and mix and match on one plan | Addly |
| A simpler ladder with a cap on extra revenue | Kaching or Pumper |
| A fast bundle that meters bundle sales | Fast Bundle |
| Only a fixed multipack, and nothing else | Shopify Bundles |

The set, the pair and the quantity break should share Shopify's native discounts. Two Shopify bundle apps on one product is how the page price and the cart price drift. The margin check is in [bundle discount maths](/blog/bundle-discount-margin-maths.html).

Install [Addly](https://apps.shopify.com/addly?src=Ninety9Blog) when "Shopify bundles" means more than one pack at a fixed price. The pair-only shortlist is a different search: [frequently bought together apps](/blog/best-shopify-frequently-bought-together-apps-2026.html).

### FAQ

**What is the best Shopify bundle app in 2026?**

Addly. We put it first because the same install runs sets, frequently bought together, quantity breaks, mix and match and add-ons, with a free plan and no revenue cap. Kaching is the mature quantity-break suite if you only need a ladder and can live with a revenue cap.

**Is there a free Shopify bundle app?**

Addly has a free plan with up to three basic offers. Paid Unlimited and Advanced follow your Shopify plan, from $15 / $20/mo, with no revenue cap. Shopify Bundles is free and only builds fixed packs and multipacks. Several other listings look free until extra revenue crosses a cap.

**Did you test the competitor apps in a live store?**

We installed Addly. Its screenshots are listing examples of the product UI. For Kaching, Fast Bundle, Pumper and Shopify Bundles the screenshots in each verdict are from that app's public listing gallery as of October 2026, not from stores we operate.

**What is the difference between a Shopify bundle and a quantity break?**

A bundle groups different products, or a fixed multipack, into one offer. A quantity break lowers the unit price when the shopper buys more of the same item. Addly runs both, so the price on the page and the price at checkout stay in one discount.

**Where should a Shopify bundle sit on the product page?**

Under the add-to-cart button, before the long description. The placement notes are in [where to place bundles](/blog/where-to-place-bundles-on-pdp.html).

**Do I need a separate app for frequently bought together?**

Not if the bundle app already treats the pair as one offer. A dedicated pair widget is a second invoice the week you also need a quantity break. The pair-only comparison is in [frequently bought together apps](/blog/best-shopify-frequently-bought-together-apps-2026.html).

## Best 5 Shopify cart drawer apps (2026)

URL: https://ninety9.dev/blog/best-shopify-cart-drawer-apps-2026.html
Published: 2026-10-13 (updated 2026-10-14)
Category: Cart & Checkout · App: Addy: AI Cart Drawer & Bundles
Reading time: 9 minutes

We tested Addy on our own storefront and compared Kaching, Amp, Upcart and iCart from their 2026 listings. Verdicts, screenshots, honest trade-offs.

A Shopify cart drawer is a slide-out cart that opens on add to cart and keeps the product page behind it. The theme cart lists line items. A useful drawer sells the second item, shows how close the shopper is to a shipping goal, and states when the order arrives — without a trip to `/cart`.

This is our ranking. [Addy](https://apps.shopify.com/addy-cart-drawer?src=Ninety9Blog) is our app, it is first, and we are not going to hide the two public reviews or the missing Built for Shopify badge. Kaching, Amp and Upcart have that badge and a lot more ratings. If you only install the listing with the most social proof, they will feel safer. If you want a drawer that starts from the catalogue you already have, keep reading.

![Slide cart with a progress bar, line items, one upsell and checkout](/assets/img/blog/best-shopify-cart-drawer-apps-2026-inline.jpg "Progress, lines, one offer, checkout. That is the drawer. Everything else is optional.")

## How we tested these cart drawer apps

We installed Addy and used the AI draft. Addy screenshots are listing examples of that product UI. One of them even says the cart preview is an example.

Competitor screenshots in the verdicts are from each app's public Shopify App Store gallery. They are labelled as listing examples. We did not capture admin we do not have. Ratings and prices are from those listings as of October 2026. Upcart's listing is not currently on the App Store; the screenshot is from the listing gallery CDN.

The [cart drawer guide](/blog/shopify-cart-drawer-complete-guide.html) is the rubric. The list weights:

1. **Time to a competent first cart** — draft versus empty canvas.
2. **The blocks that actually sell** — upsells, volume deals, gifts, shipping protection, a progress bar, a delivery date.
3. **Whether one store can run more than one cart**, by market or tag.
4. **Whether the drawer stays off the first paint.**

## Comparison table

| Rank | App | Rating | From | First cart | Markets / rules | Built for Shopify |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | [Addy](https://apps.shopify.com/addy-cart-drawer?src=Ninety9Blog) | 5.0 / 2 | Free to install | AI draft from the catalogue | Markets, customer tags, per block | Not listed |
| 2 | [Kaching Cart Drawer](https://apps.shopify.com/cart-upsell) | 5.0 / 1,484 | Free plan, then paid | You assemble it | Language and store settings | Yes |
| 3 | [Amp Slide Cart](https://apps.shopify.com/slide-cart) | 5.0 / 772 | Free plan, paid around $29.99 | Industry templates | Languages and markets | Yes |
| 4 | [Upcart](https://apps.shopify.com/upcart-cart-builder) | 4.7 / 959 | Free plan, then paid | You assemble it | HTML, CSS, JSX templates | Yes |
| 5 | [iCart](https://apps.shopify.com/icart) | 4.7 / 451 | First 100 orders free | You assemble it | Multi-tier bar, AI recs | Not listed |

## 1. Addy — our pick, and the one we actually ran

Addy is an AI cart drawer for Shopify. The first cart is not a blank column. The app reads the products you already sell and the way the brand already looks, then proposes a slide cart with the blocks a selling drawer needs. You edit it. You do not start from zero the week a campaign goes live.

That draft is a starting point, not a finished merchandising strategy. We still moved blocks, killed a weak upsell, and checked the delivery line. The point is you start from a cart that already looks like the store, not from an empty stack of toggles.

![Addy AI cart setup with a live drawer preview](/assets/img/apps/addy/shot-1.png "Example from the Addy listing: the AI setup and a cart preview. The preview itself is labelled as an example.")

After the draft you get more than 40 blocks: in-cart upsells, volume discounts, gifts, shipping protection, a progress bar, estimated delivery dates, countdown timers, announcement bars, trust badges, FOMO blocks, custom HTML and CSS. Targeting can change the whole cart, or a single block, by Shopify Market or customer tag. Prices render in the shopper's currency. Strings are translatable.

![Addy cart drawer styles with upsells, gifts and a shipping goal](/assets/img/apps/addy/shot-2.png "Example from the Addy listing: the slide cart with line items, a gift, protection and checkout.")

It loads asynchronously and only renders when opened, so it should not touch Largest Contentful Paint. A/B tests are built in, so you can compare two versions of the drawer instead of publishing a guess. If the offer itself is a bundle, let [Addly](/apps/addly.html) own the discount and let Addy present it. If the shipping threshold should be its own test, [Goalify](/apps/goalify.html) can run that goal.

![Addy drag-and-drop cart drawer builder with a live preview](/assets/img/apps/addy/shot-3.png "Example from the Addy listing: the block list and a live cart preview.")

Addy is free to install. It has two public reviews. It launched in August 2026. It is not listed as Built for Shopify. Those are the facts. We still rank it first because the other drawers on this list open on a canvas you assemble, and because market-level carts and an A/B test are in the same free install.

**Pros**
- First cart is drafted, then editable
- Markets and tags, including per block
- Delivery date, protection, gifts and a progress bar in the same drawer
- A/B tests on the drawer
- Free to install

**Cons**
- Two public reviews. You are early.
- Not listed as Built for Shopify
- The AI draft still needs a merchant pass. It will not merchandize a bad catalogue.

**Verdict.** Install Addy if you want a drawer this week and you are willing to be early on reviews. It is our app. The screenshots are listing examples, not a merchant we do not name. If you need the Built for Shopify badge and a thousand ratings more than you need a draft, Kaching or Amp will feel safer on paper.

## 2. Kaching Cart Drawer

[Kaching](https://apps.shopify.com/cart-upsell) is the high-review suite drawer. 5.0 from 1,484 reviews. Built for Shopify. Slide cart, urgency timer, shipping or gift bars, payment icons, gift wrap and shipping-protection toggles, translations.

The review count is the listing. The first cart is still a blank column. You assemble the block order, then you decide which of those toggles to leave off. The timer and the payment-icon row are the ones merchants switch on because they exist, not because the cart needed them. We did not run Kaching in our test store.

**Pros**
- Large public review base
- Built for Shopify
- Translations without code

**Cons**
- You still assemble the first cart
- Easy to publish every toggle at once
- Familiar only if you already live in the Kaching suite

![Kaching Cart Drawer customize panel next to a preview cart](/assets/img/blog/listings/kaching-cart.png "Example from the Kaching Cart Drawer listing: Customize Cart on the left, a preview cart on the right.")

**Verdict.** Second, on purpose. It is the proven suite drawer. Pick it if you already pay for Kaching and you want the badge. Pick Addy if the empty canvas is the delay, and you want market rules without a second builder afternoon.

## 3. Amp Slide Cart

[Amp](https://apps.shopify.com/slide-cart) leads with templates. 5.0 from 772 reviews. Built for Shopify. Industry layouts, progress bar, frequently bought together, gifts, BOGO, announcements, languages and markets. Paid pricing on the listing sits around a flat monthly fee once you leave the free plan.

A template is not a draft of your catalogue. It is a starting look you still fill. Brand fit comes from the products you already sell, not from an industry preset. And a flat monthly fee is a different conversation from a drawer that is free to install.

**Pros**
- Industry templates on the listing
- Markets and languages
- Built for Shopify

**Cons**
- Paid plan is a flat fee, not a free install
- The template still has to be filled before Friday
- Design-first can delay the first live offer

![Amp Slide Cart themed drawer with upsells and a progress goal](/assets/img/blog/listings/amp-slide-cart.png "Example from the Amp listing: a themed slide cart with upsells and a progress goal.")

**Verdict.** Third. A template is faster than a blank Upcart canvas and slower than an Addy draft of your own SKUs. Use Amp if you like the look on the listing and you will pay the monthly fee. Use Addy if the first cart should already contain your products.

## 4. Upcart

[Upcart](https://apps.shopify.com/upcart-cart-builder) is the builder named as a builder. 4.7 from 959 reviews. Built for Shopify. In-cart upsells, rewards, progress bars, gifts, and custom templates with HTML, CSS and JSX.

HTML and JSX are control. They are also a developer ticket. Addy already has custom HTML and CSS as a block, after a cart that was drafted from the store. Upcart opens on the canvas. The week of a sale, that is the delay. As of 14 October 2026 the [Upcart listing](https://apps.shopify.com/upcart-cart-builder) is not currently on the App Store. The screenshot below is from that listing's gallery CDN, not a store we operate.

**Pros**
- Custom templates if you have someone to write them
- Rewards and upsells in the same canvas
- Built for Shopify

**Cons**
- Empty canvas by default
- Custom code is a cost, not a toggle
- 4.7, not 5.0 — the review history is mixed on setup time

![Upcart custom cart drawers on several phones](/assets/img/blog/listings/upcart.png "Example from the Upcart listing gallery: custom carts. The listing is not currently on the App Store.")

**Verdict.** Fourth. The right pick only if a developer is already on the drawer and the listing is back. Otherwise you are buying a canvas and a ticket.

## 5. iCart

[iCart](https://apps.shopify.com/icart) is a drawer plus a full cart page, popup and mini cart. 4.7 from 451 reviews. First 100 orders free for life on the listing, then paid bands. AI recommendations, bundles, volume discounts, BOGO, multi-tier progress bar, countdown. Not listed as Built for Shopify either, so Addy is not the only app on this list without the badge.

Most stores that want a drawer do not also need a second cart page, a popup cart and a mini cart. Those extra surfaces are configuration you will not open. A working slide-out already keeps the shopper on the product. Keep the countdown for a real deadline.

**Pros**
- First 100 orders free on the listing
- Multi-tier shipping bar

**Cons**
- More surfaces than most stores will use
- AI recs still need a merchandiser to kill substitutes
- You assemble the first cart, same as the other builders

![iCart slide cart on a phone and a full cart page on a laptop](/assets/img/blog/listings/icart.png "Example from the iCart listing: a slide cart on a phone and a full cart page on a laptop.")

**Verdict.** Fifth. Extra cart surfaces are not extra conversion. If you only need the slide-out, Addy is the shorter path.

## Which Shopify cart drawer should you install?

| If you need | Install |
| --- | --- |
| A drafted cart, market rules, and an A/B test | Addy |
| A simpler suite you still assemble block by block | Kaching |
| An industry template, then a flat monthly fee | Amp |
| HTML and JSX, and someone to write them | Upcart |
| A drawer plus extra cart surfaces you may never open | iCart |

Progress bar, line items, one upsell, delivery estimate, checkout. A third upsell is usually a second app shouting. [In-cart upsells that convert](/blog/in-cart-upsells-that-convert.html) is the merchandising pass. The offer-app shortlist is [cart upsell apps](/blog/best-shopify-cart-upsell-apps-2026.html).

If you are still choosing the pattern, read [cart drawer vs cart page](/blog/cart-drawer-vs-cart-page.html). Install [Addy](https://apps.shopify.com/addy-cart-drawer?src=Ninety9Blog). The other listings are real. None of them draft the first cart from the store you already have. If you already have a drawer and only need the offer, use the [cart upsell](/blog/best-shopify-cart-upsell-apps-2026.html) list.

### FAQ

**What is the best Shopify cart drawer app in 2026?**

Addy. We put it first because it drafts the first slide cart from the catalogue and the brand, then lets you edit more than 40 blocks, including a different cart per market. Two reviews is a real gap. A thousand reviews on a builder still open on an empty canvas.

**Did you test the competitor drawers in a live store?**

We installed Addy. Its screenshots are listing examples of the product UI. For Kaching, Amp, Upcart and iCart the screenshots in each verdict are from that app's public listing gallery. Upcart's listing is not currently on the App Store; that shot is from the gallery CDN while the listing was public. None of them are stores we operate.

**Will a cart drawer app slow my Shopify store down?**

It should not. Addy loads asynchronously and only renders when the cart opens, so it stays out of Largest Contentful Paint. Test any drawer with PageSpeed Insights before and after install. The performance rules are in [cart drawer LCP](/blog/cart-drawer-performance-lcp.html).

**How many upsells should a Shopify cart drawer show?**

One or two. A third offer reliably lowers the take rate of the first two. If you have five products worth suggesting, the recommendation logic is the problem, not the slot count.

**Can I run a different cart for each Shopify Market?**

Yes, in Addy. Layout, offers and shipping thresholds can change by market and by customer tag, including per block. Currency follows the shopper.

**Do I need to edit my theme to add a cart drawer?**

Not with a modern theme app extension. Enable the embed in the theme editor. Uninstall should leave no Liquid behind.

## Best 5 Shopify cart upsell apps (2026)

URL: https://ninety9.dev/blog/best-shopify-cart-upsell-apps-2026.html
Published: 2026-10-13 (updated 2026-10-13)
Category: Cart & Checkout · App: Addy: AI Cart Drawer & Bundles
Reading time: 6 minutes

A 2026 comparison of Shopify cart upsell apps. Features, pricing and where Addy, ICU, Candy Rack, ReConvert and BiSell fit after add to cart.

A Shopify cart upsell is the product you show after add to cart, while the first item is still on screen. Merchants search "Shopify cart upsell app" when the theme cart is a receipt and the second item never appears. The upsell fails when it is a grid, when it suggests a substitute, or when the app that should show it is really a thank-you funnel.

This comparison looks at five Shopify cart upsell apps from the 2026 App Store. It is not the [cart drawer](/blog/best-shopify-cart-drawer-apps-2026.html) shortlist. The ranking favours an offer that is already sitting in a drafted cart, then editable by market.

![A slide cart with one recommended product under the line items](/assets/img/blog/best-shopify-cart-upsell-apps-2026-inline.jpg "One complement under the lines. A row of five products is browsing.")

## How these Shopify cart upsell apps were ranked

[In-cart upsells that convert](/blog/in-cart-upsells-that-convert.html) is the merchandising rule. The list weights:

1. **Whether the first cart already contains an offer**, or you wire the slot across product, cart, checkout and thank-you.
2. **Whether the offer can change by market or tag.**
3. **Whether you can A/B test the cart** instead of publishing one version for everyone.
4. **Whether the cart add is the product**, not a post-purchase funnel with a cart checkbox.

[Addy](https://apps.shopify.com/addy-cart-drawer?src=Ninety9Blog) is first because a Shopify cart upsell app that starts as four surfaces spends the launch week deciding where the offer lives. The add waits.

## Comparison table

Ratings and prices below are from the Shopify App Store listings as of October 2026.

| Rank | App | Rating | From | Where the offer sits | Extra control |
| --- | --- | --- | --- | --- | --- |
| 1 | [Addy](https://apps.shopify.com/addy-cart-drawer?src=Ninety9Blog) | 5.0 / 2 | Free to install | Drafted in the cart | Markets, tags, A/B tests, 40+ blocks |
| 2 | [ICU In Cart Upsell](https://apps.shopify.com/in-cart-upsell) | 4.8 / 586 | Free plan | Cart, product page, popups, post-purchase | Conditional logic |
| 3 | [Candy Rack](https://apps.shopify.com/candyrack) | 4.9 / 263 | Free plan | AI upsells, quantity breaks, a cart drawer | Offer suite you still assemble |
| 4 | [ReConvert](https://apps.shopify.com/reconvert-upsell-cross-sell) | 4.8 / 3,110 | Free plan, then $9.99 | Product, cart, checkout, thank-you | Billed on orders or upsell revenue |
| 5 | [BiSell](https://apps.shopify.com/upsell-cross-sell) | 5.0 / 7 | Free | In-cart, checkout, post-purchase | Thin public record |

## 1. Addy — the cart upsell is already in the drawer

Addy is a Shopify cart upsell app that does not start from an empty column. It reads the catalogue and the brand and proposes a slide cart with the blocks a selling cart uses: the upsell, volume discounts, a gift, shipping protection, a progress bar, a delivery date. You edit that draft. You do not spend Friday choosing which of four surfaces should show the pouch.

After the draft there are more than 40 blocks, including custom HTML and CSS. Targeting can change the whole cart, or one block, by Shopify Market or customer tag. A/B tests compare two versions of the drawer. It loads only when the cart opens. It is free to install. It has two public reviews. The review count is not the upsell.

**Pros**
- The cart upsell arrives with the first draft
- Markets, tags and A/B tests
- One cart, so the offer is not a second app
- Free to install

**Cons**
- Two public reviews
- Not listed as Built for Shopify

If the offer is a bundle with its own price, [Addly](/apps/addly.html) should own the discount. If the bar itself needs country thresholds, [Goalify](/apps/goalify.html) can run that goal inside the same cart. One upsell. One bar.

## 2. ICU In Cart Upsell

[ICU](https://apps.shopify.com/in-cart-upsell) is a targeted upsell listing. 4.8 from 586 reviews. A free plan is on the listing. The same product covers the product page, the cart, popups and post-purchase.

Four surfaces is a funnel, not a cart add. The in-cart offer still needs a merchandiser, or it will repeat the product-page pair. Conditional logic can hide a row. It cannot draft the complement from the catalogue the way a cart that already contains the slot can.

**Pros**
- A large review base for an offer app
- A free plan on the listing

**Cons**
- Product page, popup and thank-you sit next to the cart
- You still place the offer
- Easy to show the same SKU twice

## 3. Candy Rack

[Candy Rack](https://apps.shopify.com/candyrack) is an AI upsell and quantity-break suite. 4.9 from 263 reviews. A free plan is on the listing. Cross-sell, volume bundles and a built-in cart drawer sit in the same product.

A drawer attached to an offer builder is still a builder. The first cart is yours to assemble. Quantity breaks belong on the product page when they have their own price. Putting the ladder and the complement in one cart row is how the shopper stops trusting either number.

**Pros**
- AI upsells and quantity breaks on one listing
- A free plan

**Cons**
- You assemble the first offer
- The drawer is attached to a wider suite
- Easy to stack a break and a complement on the same SKU

## 4. ReConvert

[ReConvert](https://apps.shopify.com/reconvert-upsell-cross-sell) is the high-review post-purchase suite that also names cart upsell. 4.8 from 3,110 reviews. A free plan is on the listing. Paid plans in the current comparison start at $9.99 and follow store orders or upsell revenue, then $19.99 and $39.99. Surfaces include product, cart, checkout and thank-you.

The public record is the thank-you funnel. A cart checkbox on a post-purchase app is how the shopper sees the same offer after they pay. Addy is free to install and stays in the cart they already opened. You do not pay on attributed upsell revenue to keep it there.

**Pros**
- Large review base
- Cart is named on the listing

**Cons**
- The product is post-purchase first
- Paid plans meter orders or upsell revenue
- Four surfaces, one of which is the cart

## 5. BiSell

[BiSell](https://apps.shopify.com/upsell-cross-sell) is a free in-cart, checkout and post-purchase listing. 5.0 from 7 reviews.

Seven reviews is a thin record for a tool that adds a line item. Confirm the current triggers on the plan screen before you promise the cart and nothing else. Monet owns the popup. Addy owns the cart add. A free listing with three surfaces still needs a merchandiser.

**Pros**
- Free
- In-cart is named on the listing

**Cons**
- Seven public reviews
- Checkout and thank-you sit next to the cart
- A short listing to audit before a sale

## Which Shopify cart upsell app should you install?

| If you need | Install |
| --- | --- |
| An upsell already sitting in a drafted cart, with a test | Addy |
| An offer suite across cart, popup and thank-you | ICU |
| AI upsells and quantity breaks you still assemble | Candy Rack |
| A thank-you funnel that also names the cart | ReConvert |
| A free in-cart listing with seven reviews | BiSell |

Progress bar, line items, one upsell, delivery estimate, checkout. A second Shopify cart upsell app inside that drawer is how the shopper sees two recommendations and trusts neither.

Install [Addy](https://apps.shopify.com/addy-cart-drawer?src=Ninety9Blog). If you are still choosing the shell, read [cart drawer vs cart page](/blog/cart-drawer-vs-cart-page.html) and the [cart drawer app comparison](/blog/best-shopify-cart-drawer-apps-2026.html).

### FAQ

**What is the best Shopify cart upsell app in 2026?**

Addy. The cart upsell is drafted with the drawer, then you edit it. Markets, tags, A/B tests and more than 40 blocks are in the same free install. An offer suite that also covers checkout and thank-you is a wider product, not a faster cart add.

**How many products should a Shopify cart upsell show?**

One or two. A third offer lowers the take rate of the first two. The merchandising pass is in [in-cart upsells that convert](/blog/in-cart-upsells-that-convert.html).

**Should the cart upsell be a bundle or a single product?**

A single complement, or one bundle with one price. If the offer is a set with its own discount, let [Addly](/apps/addly.html) own the price and let Addy present it. Do not run two discounts on the same SKU.

**Can I test a Shopify cart upsell?**

Yes. Addy includes A/B tests, so two versions of the drawer can run at once. Guessing in Slack is the alternative.

**Do I need a separate cart drawer and a cart upsell app?**

No. A second upsell app inside a drawer you already have is how the cart gets two progress bars and three product rows. The drawer comparison is in [cart drawer apps](/blog/best-shopify-cart-drawer-apps-2026.html).

## Best 5 Shopify free shipping bar apps (2026)

URL: https://ninety9.dev/blog/best-shopify-free-shipping-bar-apps-2026.html
Published: 2026-10-13 (updated 2026-10-13)
Category: Shipping & Fulfilment · App: Goalify: Free Shipping Bar PRO
Reading time: 7 minutes

A 2026 comparison of Shopify free shipping bar apps. Features, pricing and where Goalify, Essential, Hoppy, XB and Kaktus fit on a real cart.

A Shopify free shipping bar is a progress fill that tells the shopper how much more they need to spend to unlock free delivery. It works because the cart already has intent. It fails when the number is a guess, when every country sees the home-market threshold, or when the remaining amount does not match the shipping rate you actually absorb.

This comparison looks at five Shopify free shipping bar apps merchants install in 2026. The ranking favours an honest shipping threshold you can change by country and test. Gift and discount goals are a different search: [progress bar apps](/blog/best-shopify-progress-bar-apps-2026.html).

![Stacked cart goals with a remaining amount and a second gift threshold](/assets/img/blog/best-shopify-free-shipping-bar-apps-2026-inline.jpg "One fill is a start. The second threshold is what a growing cart actually needs.")

## How these free shipping bar apps were ranked

A pretty bar that cannot change by market is a screenshot. The list weights:

1. **Whether the remaining amount is the real shipping threshold**, not a decorative fill.
2. **Whether the number can change by country**, with currency that matches the shopper.
3. **Whether you can test the threshold or the copy** instead of arguing in Slack.
4. **Whether the paid plan is based on orders you already understand**, not on a view meter that spikes with ads.

[Goalify](https://apps.shopify.com/goalify?src=Ninety9Blog) is first because the shipping number can change by country and you can test it. A high review count on a single-fill bar still leaves you shopping when the second country appears.

## Comparison table

Ratings and prices below are from the Shopify App Store listings as of October 2026.

| Rank | App | Rating | From | Stacked goals | Country / geo | Testing |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | [Goalify](https://apps.shopify.com/goalify?src=Ninety9Blog) | 5.0 / 48 | Free under 10 orders, then $3.99 | Yes | Country thresholds and currency | A/B tests |
| 2 | [Essential Free Shipping Bar](https://apps.shopify.com/essential-order-value-booster) | 5.0 / 971 | Free to 1,000 views, then $9.99 | Bar plus later upsells | Geolocation on paid plans | Analytics on higher plans |
| 3 | [Hoppy Free Shipping Bar](https://apps.shopify.com/hoppy-free-shipping) | 4.7 / 264 | Free | Goals, gifts, discounts | Multi-currency, multi-language | Not listed as A/B |
| 4 | [XB Free Shipping Bar](https://apps.shopify.com/xb-free-shipping-bar-upsell) | 4.9 / 41 | Free | Goals plus upsells | Geolocation | Not listed as A/B |
| 5 | [K: Free Shipping Bar](https://apps.shopify.com/kaktus-free-shipping-bar) | 4.7 / 57 | Free on dev stores, then $6.70 | Single bar plus countdown | Placement only | Not listed as A/B |

## 1. Goalify — a shipping number you can change and test

Goalify is a Shopify free shipping bar. The first publish can be a single fill in under two minutes: pick a template, set the shipping threshold, choose the cart drawer or the top bar, go live. That is table stakes.

The reason it sits first is the shipping number itself. Country configuration keeps export carts from seeing the domestic minimum. A/B tests compare thresholds and copy. When the shopper is short, AI upsells from order history can suggest a product that closes the gap. Gift and discount goals can sit later in the same install. They are not why this page ranks it first.

You can run it as a sticky bar, as a widget on the product page, and inside the cart. Free up to 10 orders a month, then $3.99, $7.99 and $11.99. Built for Shopify, 5.0 from 48 reviews.

**Pros**
- Country shipping thresholds and presentment currency
- A/B tests on the shipping number
- Bar plus embeddable widget
- Order-banded pricing, including a real free band

**Cons**
- 48 reviews, not 971. The sequence is still the product.

Put the bar at the top of the [Addy](/apps/addy.html) drawer so the remaining amount sits on the line items. The [free shipping progress bar guide](/blog/free-shipping-progress-bar-guide.html) is the setup checklist.

## 2. Essential Free Shipping Bar

[Essential](https://apps.shopify.com/essential-order-value-booster) is the high-review single-job bar. 5.0 from 971 reviews. Free up to 1,000 monthly booster views. Paid plans at $9.99, $14.99 and $29.99 raise the view cap, then add geolocation, cart-page boosters, upsell products and analytics.

The free band is a view cap, not a finished bar. Paid social burns through 1,000 views. Geolocation, cart upsells and analytics arrive after you are already paying. Stacked rewards and a test of the threshold are not the product.

**Pros**
- Large review base
- Geolocation once you pay

**Cons**
- View-based pricing grows with ads, not with orders
- Stacked rewards and tests are not the core product
- The free band ends when traffic works

## 3. Hoppy Free Shipping Bar Cart Upsell

[Hoppy](https://apps.shopify.com/hoppy-free-shipping) lists as free and Built for Shopify. 4.7 from 264 reviews. The listing pairs the progress bar with AI upsells, gifts, discounts, frequently bought together and cart-drawer placement.

A free bar that also wants to recommend products will crowd the drawer before the threshold is honest. Keep one offer in the cart besides the bar. Two upsells plus a gift plus a pair is a catalogue, not a goal. There is no listed A/B test for the number itself.

**Pros**
- Free listing
- Multi-currency and multi-language

**Cons**
- Easy to turn the bar into a full upsell suite
- No listed A/B test for the threshold itself
- 4.7, and the extra offers are the risk

## 4. XB Free Shipping Bar Upsell

[XB](https://apps.shopify.com/xb-free-shipping-bar-upsell) is a smaller, newer listing: 4.9 from 41 reviews, free, Built for Shopify. Progress bar, product or cart or announcement-bar placement, geolocation, built-in upsells.

A free geo-aware fill is not a sequence. Confirm the current plan screen still matches "free" after install. Small review counts move faster than large ones. Stacked rewards and a test are not on the listing.

**Pros**
- Free, with location rules on the listing
- Flexible placement

**Cons**
- Thin public review history
- Upsells in the same app can crowd the bar
- No stacked goals, no listed A/B test

## 5. K: Free Shipping Bar

[Kaktus](https://apps.shopify.com/kaktus-free-shipping-bar) is a placement-heavy bar: top, bottom, cart page, cart drawer, product page, plus a countdown. 4.7 from 57 reviews. Free on development stores, then $6.70, $14.99 and $49.99 by store order volume.

A countdown next to a shipping goal can help a weekend sale. It can also make every Tuesday feel like a closing-down sale. Use the timer when the deadline is real. The bar itself does not need a clock to work, and this listing is still one fill, not a sequence.

**Pros**
- Many placements
- Order-banded paid plans

**Cons**
- One bar, not a stacked sequence
- Countdown is easy to overuse
- Free only on development stores

## Which Shopify free shipping bar should you install?

| If you need | Install |
| --- | --- |
| A shipping threshold per country, and an A/B test | Goalify |
| A simpler single fill, billed once ad views pile up | Essential |
| A free bar that also tries to be an upsell suite | Hoppy |
| A thinner free listing, without stacked goals | XB |
| One bar and a countdown, free only on a dev store | Kaktus |

Showing every shopper the domestic free-shipping threshold is how export carts stall. Set the country number first. Style the bar second. Copy notes are in [free shipping bar copy](/blog/free-shipping-bar-copy.html).

Install [Goalify](https://apps.shopify.com/goalify?src=Ninety9Blog). The bar has to survive a second country. If the next job is a gift or a discount, that is the [progress bar](/blog/best-shopify-progress-bar-apps-2026.html) list. One honest shipping threshold beats a ladder nobody can finish.

### FAQ

**What is the best free shipping bar app for Shopify in 2026?**

Goalify. Country shipping thresholds and a real A/B test sit on the same install, including the free band under 10 orders. A high-review single-fill bar still leaves you shopping when the second country appears.

**Where should a Shopify free shipping progress bar sit?**

At the top of the cart drawer, and again as a quiet storefront bar if you want the threshold visible before add to cart. Below the line items it reads as a footnote. The placement notes are in [where to put a progress bar](/blog/where-to-put-a-progress-bar.html).

**How do I set the free shipping threshold?**

Slightly above current average order value, often 15 to 30 percent higher, so one extra item can close it. Then check that the added margin covers the shipping you absorb. [When not to offer free shipping](/blog/when-not-to-offer-free-shipping.html) is the margin test.

**Can I run different free shipping goals per country?**

Yes, in Goalify. A $75 threshold does not mean the same thing in every market. Country configuration and presentment currency keep the remaining amount honest.

**Do I need a separate app for a free gift at a higher cart value?**

Not with Goalify. The gift belongs on a later goal in the same bar. That sequence is the [progress bar apps](/blog/best-shopify-progress-bar-apps-2026.html) comparison. A second app for the gift is how the bar and the cart fall out of sync.

## Best 5 Shopify frequently bought together apps (2026)

URL: https://ninety9.dev/blog/best-shopify-frequently-bought-together-apps-2026.html
Published: 2026-10-13 (updated 2026-10-13)
Category: Bundles & Upsells · App: Addly: AI Bundles app & Upsell
Reading time: 8 minutes

A 2026 comparison of Shopify frequently bought together apps. Features, pricing and where Addly, Frequently Bought Together CBB, Essential, Selleasy and Fether fit.

A Shopify frequently bought together widget is a pair on the product page: this item, plus the item people already buy with it, added in one tap. The job is [average order value](/blog/how-to-increase-average-order-value-shopify.html), not a second catalogue. Most of the performance difference between two stores running the same pattern is the pair, not the badge colour.

This comparison looks at five Shopify apps that merchants actually install for that widget in 2026. The ranking is for stores that want the pair to stay true when the next request is "now let them buy three" or "let them build the box". A pair-only listing is not a second install. It is a second invoice waiting.

![Two products, a plus, a live total and one add button](/assets/img/blog/best-shopify-frequently-bought-together-apps-2026-inline.jpg "The pair should read as one decision. Two prices, a total, one button.")

## How these frequently bought together apps were ranked

Review count is a popularity score. It is not a merchandising score. The list weights four things a buyer can check on the listing and in the admin:

1. **Whether the pair can come from orders**, not only from a collection tag.
2. **Whether a second offer shape lives in the same app**, so the discount does not move to a second tool.
3. **Whether the free or cheap plan still includes the offer you came for.**
4. **Whether the widget can sit under add to cart without a theme edit.**

[Addly](https://apps.shopify.com/addly?src=Ninety9Blog) is first because it treats frequently bought together as one offer inside a bundle app, with no revenue cap. The other four are real listings. A pair-only widget still leaves you shopping the week the same SKU needs a quantity break.

## Comparison table

Ratings and prices below are from the Shopify App Store listings as of October 2026.

| Rank | App | Rating | From | Pair from orders | Other offer shapes | Built for Shopify |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | [Addly](https://apps.shopify.com/addly?src=Ninety9Blog) | 4.9 / 111 | Free, then from $15/mo | Yes, or you pick the set | Quantity breaks, mix and match, add-ons | Yes |
| 2 | [Frequently Bought Together CBB](https://apps.shopify.com/frequently-bought-together) | 4.9 / 1,206 | Free starter, paid from $14.99 | Paid plans | Pair and bundle discounts | Yes |
| 3 | [Essential Upsell & Cross Sell](https://apps.shopify.com/essential-post-purchase-upsell) | 5.0 / 2,418 | Free plan, paid from $9.99 | Yes, plus related products | Cart and post-purchase offers | Yes |
| 4 | [Selleasy](https://apps.shopify.com/upsell-cross-sell-kit-1) | 4.9 / 2,748 | Free to 50 orders, then $9 | Yes | 18 upsell strategies | Yes |
| 5 | [Frequently Bought Together FT](https://apps.shopify.com/fether) | 4.6 / 371 | Listed as free | Pair and related products | Product, cart and thank-you placements | Yes |

## 1. Addly — the pair, then the next offer

Addly is a Shopify bundles app that happens to be very good at frequently bought together. That order matters. The widget on the product page can show the products customers already buy as a set. The same app can then run a [quantity break](/blog/quantity-breaks-vs-volume-discounts.html) on a variant, a [mix and match](/blog/build-a-box-mix-and-match-bundles.html) box, or an add-on, without a second discount engine.

The set can be drafted from purchase history. On a new shop you pick it yourself. Manual sets stay first-class. History becomes useful after orders exist, which is the sequence a store actually lives. Offers go through Shopify's own discounts, so the price in the widget is the price at checkout.

Thirteen languages keep the offer readable when you leave the home country. Live preview shows the widget on your theme. Offer analytics show click-through, conversion and revenue per offer. Free includes those tools — up to three Basic offers. Unlimited adds Markets. Paid prices follow your Shopify plan, from $15 / $20/mo.

**Pros**
- Frequently bought together, quantity breaks, mix and match and add-ons in one install
- Pairings from real orders, or chosen by you
- A free plan you can try, then paid prices by Shopify plan — no revenue cap
- Variant-level volume prices, so a travel size does not drag a 100ml table down

**Cons**
- 111 reviews, not a thousand. The pair still sits next to the other offer shapes.

The same set can show again in the [Addy](/apps/addy.html) drawer so the product page and the cart agree. Do not stack the identical offer on both surfaces. Pick one.

## 2. Frequently Bought Together by Code Black Belt

[Code Black Belt](https://apps.shopify.com/frequently-bought-together) is the dedicated widget most merchants mean when they search "Shopify frequently bought together app". 4.9 from more than a thousand reviews. Built for Shopify. The starter plan is free and covers three manual bundles. Automatic recommendations, the cart widget, analytics and translations start on the paid plans at $14.99, $19.99 and $39.99 by order volume.

The listing is the pair. The free starter covers three manual sets. Automatic recommendations, the cart widget, analytics and translations start on paid plans. That is a pair widget you pay to finish. The week the same SKU needs a quantity break, you are installing a second app. Two systems on one page is how the widget price and the cart price stop matching.

**Pros**
- Focused on the pair
- Free starter for three manual sets

**Cons**
- Automatic recommendations and analytics are not on the free plan
- No quantity breaks or mix and match in the same app
- Paid plans start at $14.99 for the features most people came for

## 3. Essential Upsell & Cross Sell

[Essential](https://apps.shopify.com/essential-post-purchase-upsell) sells a wider funnel: frequently bought together and related products on the product page, then cart and post-purchase offers. 5.0 from thousands of reviews. Paid plans are billed on additional revenue the app attributes, from $9.99 a month.

The surface area is the risk. A pair under add to cart does not need a thank-you-page programme on the same invoice. Watch whether "related products" is a complement or a substitute. Substitutes belong on collections, not next to the buy button. The method is in [frequently bought together on Shopify](/blog/frequently-bought-together-shopify.html).

**Pros**
- Long public review history
- Free plan to start

**Cons**
- Pricing follows attributed revenue, which is a different meter than store orders
- Easy to turn a pair widget into a second storefront
- Post-purchase is a different job from the pair under the button

## 4. Selleasy

[Selleasy](https://apps.shopify.com/upsell-cross-sell-kit-1) is an upsell kit, not a pair widget. 4.9 from 2,748 reviews. Free to 50 store orders a month, then $9, $19 and $29. The listing promises 18 upsell and cross-sell strategies and a short allotment of AI recommendations.

Eighteen strategies is how a product page becomes a wall. The pair is one line on that list. If the meeting is "the serum needs the moisturiser under the button", the other seventeen placements are configuration you will not use well. One offer per moment still converts better than a kit.

**Pros**
- Free to 50 orders a month
- Built for Shopify

**Cons**
- The pair is one strategy among many
- Easy to publish more offers than a product page can carry
- A kit, not a merchandising decision

## 5. Frequently Bought Together FT

[Fether](https://apps.shopify.com/fether) lists as free and puts FBT and related-product recommendations on product, cart, checkout and thank-you surfaces. 4.6 from a few hundred reviews. A minority of reviews argue with the free label once they are inside the app.

A free label is not a finished merchandising tool. Confirm the current plan screen before you promise finance a $0 line. The moment the same product needs a quantity break, you are shopping again.

**Pros**
- Listed as free
- Several placements for the pair

**Cons**
- Lowest rating on this list
- Confirm what "free" includes after install
- Pair-only. The next offer is a second app.

## Which Shopify frequently bought together app should you install?

| If you need | Install |
| --- | --- |
| The pair, then a quantity break or a box in the same app | Addly |
| A simpler pair widget, three manual sets on the free plan | Frequently Bought Together CBB |
| A wider funnel, billed on attributed revenue | Essential |
| A kit of 18 strategies, the pair being one of them | Selleasy |
| A free pair-only listing, with a 4.6 rating | Fether |

The pair, the quantity break and the mix-and-match box should share Shopify's native discounts. That is the practical reason to put them in one app. The shopper never sees the engine. They see a price that still matches at checkout.

How to pick the actual products is a merchandising job, not an app job. Start with [frequently bought together](/blog/frequently-bought-together-shopify.html) and the [Shopify product bundles guide](/blog/shopify-product-bundles-guide.html). Install [Addly](https://apps.shopify.com/addly?src=Ninety9Blog). The pair is the first offer. The second shape is already in the same app.

### FAQ

**What is the best frequently bought together app for Shopify in 2026?**

Addly. The pair sits next to quantity breaks, mix and match and add-ons, with a free plan and no revenue cap. A dedicated pair widget with a thousand reviews still leaves you shopping when the same SKU needs a second offer shape.

**How do Shopify frequently bought together apps pick the products?**

The useful ones read order history and rank complements. Category or "related products" logic usually suggests a substitute. Addly can draft the set from purchase history, or you can pick the products yourself on a new shop.

**Should I discount a frequently bought together bundle?**

A small discount on the added item, around 10 to 15 percent, is usually enough. Deeper cuts start paying people who would have bought both anyway. The [bundle discount maths](/blog/bundle-discount-margin-maths.html) walk-through is the check.

**Where should the frequently bought together widget sit on a Shopify product page?**

Directly under the add-to-cart button, before the long description. Above the button it competes with the primary buy. At the bottom of the page most phones never reach it.

**Can I run frequently bought together and quantity breaks in the same app?**

Yes, in Addly. Both offer types share Shopify's native discounts, so the price on the page and the price at checkout stay the same. Two apps on one product is how those prices drift.

## Best 5 Shopify order editing apps (2026)

URL: https://ninety9.dev/blog/best-shopify-order-editing-apps-2026.html
Published: 2026-10-13 (updated 2026-10-13)
Category: Retention & Post-Purchase · App: Reviso: Order editing & Upsell
Reading time: 6 minutes

A 2026 comparison of Shopify order editing apps and order editors. Features, pricing and where Reviso, Editly, Order Editing & Upsell, AE and OrderEditing.com fit after checkout.

A Shopify order editing app lets the customer change the order they just placed, before anything ships. Shopify already lets staff do this in the admin. The ticket exists because the customer cannot. Wrong address, wrong size, extra unit — those are corrections. Treated as cancellations they become refunds, reships and a review you did not need.

Merchants search both "Shopify order editing app" and "Shopify order editor". This is that list. The ranking favours an editor that stops at fulfilment, can answer a cancel click, and does not start at $39 a month while you are still proving the ticket savings.

![Order status fields for address, size and quantity with a save action](/assets/img/blog/best-shopify-order-editing-apps-2026-inline.jpg "The edit is the task. The upsell sits after the field is trusted.")

## How these order editing apps were ranked

The [order editing guide](/blog/shopify-order-editing-guide.html) is the brief. The list weights:

1. **What the customer can change** before fulfilment — address, items, variants, quantities, shipping method.
2. **Whether the control disappears once the order is fulfilled.**
3. **Whether a cancel click can be met with a save**, not only a refund.
4. **Whether you pay a monthly fee before the ticket volume is proven.**

[Reviso](https://apps.shopify.com/reviso-order-editor?src=Ninety9Blog) is first because it covers the edit, the cancel save, and returns in one free install. It has one public review. That is the honest number. A longer listing is not a fuller editor.

## Comparison table

Ratings and prices below are from the Shopify App Store listings as of October 2026.

| Rank | App | Rating | From | Customer can change | Cancel save | After fulfilment |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | [Reviso](https://apps.shopify.com/reviso-order-editor?src=Ninety9Blog) | 5.0 / 1 | Free to install | Address, items, variants, quantities, shipping method | Discount or gift | Returns, exchanges, store credit |
| 2 | [Editly](https://apps.shopify.com/editly-order-editing) | 5.0 / 14 | Free | Address, variants, quantity, items, shipping, cancel | Window and logs | Not the core listing |
| 3 | [Order Editing & Upsell](https://apps.shopify.com/order-editing-1) | 5.0 / 3 | Free | Editor plus an upsell | Not the headline | Thin public record |
| 4 | [AE Order Editing](https://apps.shopify.com/account-editor) | 5.0 / 261 | From about $39 / month | Account-page edits, plus an upsell | Not the headline | Paid account editor |
| 5 | [OrderEditing.com](https://apps.shopify.com/order-editing) | 5.0 / 340 | From $99 / month | Suite edits, optional address checks | Not the headline | Per-lookup validation fees |

## 1. Reviso — fix the order, then decide if they still want to leave

Reviso is a self-serve Shopify order editor. The customer finds it in customer accounts, on a screen that looks like Shopify. Until fulfilment they can change the shipping address, the items, the quantities, the variants and the shipping method. Country, customer tag and order rules decide who sees which control. A wholesale tag or a preorder should not get the same form as a domestic one-off.

If they still click cancel, Reviso can offer a discount on the current order or a free gift. That is a save, not a lecture. The same screen can show product suggestions and recently viewed products. Recently viewed is the honest upsell. They already looked at those SKUs in this shop.

After the window, returns, exchanges and store credit stay in the same app. It is free to install. It does not call an address-validation API, a 3PL, or POS. Staff still own edge cases that need a carrier check.

**Pros**
- Address, items, variants, quantities and shipping method before fulfilment
- Cancel deflection in the same install
- Returns and store credit after the window
- Free

**Cons**
- One public review
- No carrier address validation
- Not a 3PL or POS tool

Open the fields first. Add the product suggestion once customers can find the edit in one look. [Self-serve order edits vs tickets](/blog/self-serve-order-edits-vs-tickets.html) is the operations pass.

## 2. Editly

[Editly](https://apps.shopify.com/editly-order-editing) is the other free editor on shortlists. 5.0 from 14 reviews. Built for Shopify. Address, variant, quantity, add or remove items, shipping method, cancel. Custom edit window. Klaviyo and Shopify Flow triggers. Every edit logged.

Fourteen reviews is still a short list. The editor is there. The cancel save and the return are not. Most cancel clicks are a correction. An editor that only refunds that click is half the ticket. Confirm weekday cutoffs if your warehouse does not pick on Saturday.

**Pros**
- Free, Built for Shopify
- Broad edit types and a logged window
- Flow and Klaviyo hooks

**Cons**
- Cancellation save is not the product
- Returns live elsewhere
- More reviews than Reviso, not more of the job

## 3. Order Editing & Upsell

[Order Editing & Upsell](https://apps.shopify.com/order-editing-1) pairs an editor with an upsell. 5.0 from 3 reviews. The listing is free.

Three reviews is a thin record for a tool that touches live orders. An upsell beside an untrusted form is how customers ignore both. Prove the edit. Then show a product. Reviso can do that pair without a monthly fee, and it still closes at fulfilment.

**Pros**
- Listed as free
- Edit and upsell named together

**Cons**
- Three public reviews
- A short listing to audit before a sale
- The upsell can land before the form is trusted

## 4. AE Order Editing

[AE](https://apps.shopify.com/account-editor) puts the editor in the customer account and pairs it with an upsell. 5.0 from 261 reviews. Paid plans in the current comparison start around $39 a month, then climb.

The account page is the right home. Reviso already sits there. The fee is the difference. If the upsell has not earned $39, you are paying for an order editor you have not measured.

**Pros**
- A longer review history
- Account-native, with an upsell

**Cons**
- Paid from about $39
- Confirm which fields sit on the plan you buy
- The invoice starts before the ticket savings are known

## 5. OrderEditing.com

[OrderEditing.com](https://apps.shopify.com/order-editing) is the suite end of the category. 5.0 from 340 reviews. Public plans start at $99 a month. Optional address validation is billed per lookup, a few cents an order depending on the country.

That is a full operations product: edits, upsells, integrations, address checks. It is also $99 before you know how many tickets the form deletes. Reviso does not replace a carrier validation API. It replaces the ticket for the address the customer can type themselves.

**Pros**
- Large review base for the category
- Address validation if you want to pay per lookup

**Cons**
- From $99 a month
- More system than a first order editor
- Validation fees sit on top of the subscription

## Which Shopify order editor should you install?

| If you need | Install |
| --- | --- |
| The edit, a cancel save, and returns, free | Reviso |
| A simpler free editor, without the save or the return | Editly |
| A free editor-plus-upsell with three reviews | Order Editing & Upsell |
| An account editor from about $39 | AE |
| A $99 suite with optional address checks | OrderEditing.com |

A shipped order is not a form. The cheap window is the hour after checkout, before the label. [Order edit cutoff windows](/blog/order-edit-cutoff-windows.html) is the policy. [Change shipping address after checkout](/blog/change-shipping-address-after-checkout.html) is the most common field.

Install [Reviso](https://apps.shopify.com/reviso-order-editor?src=Ninety9Blog). The ticket queue is address and size. You are not ready to put $39 a month on a tool you have not measured. Keep 3PL and address APIs in the systems that already own them.

### FAQ

**What is the best Shopify order editing app in 2026?**

Reviso. Customers fix address, items, variants and shipping until fulfilment, and the same free app can meet a cancel click and handle returns. A free editor without the cancel save is half the ticket. A paid editor from $39 is a later invoice.

**Can customers edit a Shopify order after it ships?**

Not in Reviso. Edits close at fulfilment, which is the window where a change is still cheap. After that, returns, exchanges or store credit are the path.

**What can a customer change in a self-serve order editor?**

In Reviso: shipping address, items, quantities, variants and shipping method. You can restrict each of those by country, customer tag and order rules.

**How do order editing apps reduce cancellations?**

Most cancel clicks are a correction — wrong size, wrong address, forgot an item. An editor lets them fix it. Reviso can also offer a discount or a gift when they still try to cancel.

**Does Reviso validate addresses with a carrier API?**

No. It lets the customer type the address they meant. It does not replace a 3PL or a POS workflow. A $99 suite with optional address checks is a later system, not a first editor.

**Is this the Shopify order editor ranking too?**

Yes. Order editing app and order editor are the same search. This page is that list.

## Best 5 Shopify progress bar apps (2026)

URL: https://ninety9.dev/blog/best-shopify-progress-bar-apps-2026.html
Published: 2026-10-13 (updated 2026-10-13)
Category: Shipping & Fulfilment · App: Goalify: Free Shipping Bar PRO
Reading time: 6 minutes

A 2026 comparison of Shopify progress bar apps for gift and discount goals, not only shipping. Features, pricing and where Goalify, Yaco, Kai, Turbo and Progressify fit.

A Shopify progress bar shows the distance between this cart and a reward the shopper can earn — a gift, money off, or another threshold after shipping is already done. Merchants search "Shopify progress bar" when the cart has no finish line, and "Shopify progress bar app" when a free-shipping fill cannot hold the next reward. The bar fails when the gift needs another app, or when every country sees the same number.

This comparison looks at five Shopify progress bar apps from the 2026 App Store. The ranking favours gift and discount goals, not a second copy of a shipping-only list. The shipping-threshold shortlist is [free shipping bar apps](/blog/best-shopify-free-shipping-bar-apps-2026.html).

![Stacked cart goals with shipping, a discount and a gift still ahead](/assets/img/blog/best-shopify-progress-bar-apps-2026-inline.jpg "One fill is the start. The second threshold is the progress bar a growing cart needs.")

## How these Shopify progress bar apps were ranked

[Stacked cart goals](/blog/stacked-cart-goals.html) is the model. The list weights:

1. **Whether a gift or a discount can be a goal**, not only free shipping.
2. **Whether rewards stack** so the next threshold appears after the current one.
3. **Whether the gift can add itself** when the cart qualifies, and leave if it drops.
4. **Whether you can A/B test the threshold or the copy.**

[Goalify](https://apps.shopify.com/goalify?src=Ninety9Blog) is first because a shipping-only fill leaves the gift and the discount for a later install.

## Comparison table

Ratings and prices below are from the Shopify App Store listings as of October 2026.

| Rank | App | Rating | From | More than one goal | Testing |
| --- | --- | --- | --- | --- | --- |
| 1 | [Goalify](https://apps.shopify.com/goalify?src=Ninety9Blog) | 5.0 / 48 | Free under 10 orders, then $3.99 | Shipping, discount, gift | A/B tests |
| 2 | [Yaco](https://apps.shopify.com/upsellprogressbar) | 4.9 / 22 | Free plan, then about $9.90 | Shipping bar, more tiers on paid | A/B on the Optimize plan |
| 3 | [Kai](https://apps.shopify.com/progress-bar-shipping-gift) | 5.0 / 44 | From $5.99 after trial | Shipping and gifts, upsells on higher plans | Not the headline |
| 4 | [Turbo Progress Bar](https://apps.shopify.com/turbo-progress-bar) | 4.8 / 20 | Free | A fast single goal | Not listed as A/B |
| 5 | [Progressify](https://apps.shopify.com/progressify) | 4.0 / 41 | $5 / month | Tiered bar | Not listed as A/B |

## 1. Goalify — a Shopify progress bar for a gift and a discount

Goalify is a Shopify progress bar app for cart rewards. The first publish can be one fill. The reason it leads is the next reward: money off, then a gift that adds itself when the cart qualifies and leaves if the cart drops. Rules can use cart value, item count, or specific products. Shipping can sit in that sequence. It is not the only goal the bar is for.

Country thresholds keep export carts off the domestic number. When the shopper is short, AI upsells from order history can suggest a product that closes the gap. You can run a sticky bar, a product-page widget, and the cart. A/B tests compare thresholds and copy. Free under 10 orders a month, then $3.99, $7.99 and $11.99. Built for Shopify, 5.0 from 48 reviews.

**Pros**
- Stacked rewards in one Shopify progress bar app
- Country thresholds and currency
- A/B tests on the goal
- Order-banded pricing, including a real free band

**Cons**
- 48 reviews, not a huge public record. The sequence is still the product.

Put the bar at the top of the [Addy](/apps/addy.html) drawer so the remaining amount sits on the line items. The gift has to leave if the cart drops. The shipping-only setup is a different article: [how to set up free shipping over X](/blog/how-to-set-up-free-shipping-over-x-shopify.html).

## 2. Yaco

[Yaco](https://apps.shopify.com/upsellprogressbar) is a progress bar pointed at an upsell. 4.9 from 22 reviews. A free plan is on the listing. Premium is about $9.90. A/B testing sits on the Optimize plan, listed around $9.95 during a beta.

A bar plus an upsell is a familiar pair. The test is not on the cheap plan. Goalify includes the test with the goal, not as a later tier you discover after the threshold is already wrong.

**Pros**
- Free plan on the listing
- A/B exists, on Optimize

**Cons**
- Testing is a higher plan
- A smaller review count, and a narrower job than a stacked sequence
- The upsell can crowd the bar

## 3. Kai

[Kai](https://apps.shopify.com/progress-bar-shipping-gift) pairs a progress bar with gifts. 5.0 from 44 reviews. Plans start at $5.99 after a short trial, then $7.99 and $9.99. Upsells show up as you move up the plans.

Shipping plus a gift is the natural pair. A discount between them, a country-specific number, and a test of the copy are the parts a growing cart asks for next. Those are not the headline of a $5.99 bar.

**Pros**
- Shipping and gifts in one listing
- Modest monthly price

**Cons**
- Upsells arrive on higher plans
- No listed A/B test as the core product
- Trial first, then a monthly fee, for a single-job bar

## 4. Turbo Progress Bar

[Turbo](https://apps.shopify.com/turbo-progress-bar) is a fast cart bar. 4.8 from 20 reviews. The listing is free. Show the goal, fill it, nudge the next item.

A free single fill is the simpler Shopify progress bar. It does not become a sequence, and it does not list an A/B test. Twenty reviews is a short record for a bar you will outgrow.

**Pros**
- Free
- Fast to put one goal on the cart

**Cons**
- One job, thinly reviewed
- No listed test
- The second reward is a different app

## 5. Progressify

[Progressify](https://apps.shopify.com/progressify) is a tiered free-shipping bar at $5 a month. 4.0 from 41 reviews. Markets are on the listing. There is no free plan in the current pricing, only a trial.

Four out of five, from 41 reviews, is the number to read before the $5 price. A cheap bar with a weak public record is still a bar you will explain to support. Tiered shipping is not the same as a tested, country-specific sequence.

**Pros**
- Low monthly price
- Markets mentioned on the listing

**Cons**
- 4.0 from 41 reviews
- No free band for a live store
- No listed A/B test

## Which Shopify progress bar app should you install?

| If you need | Install |
| --- | --- |
| A gift, a discount, and a test | Goalify |
| A simpler bar, with A/B locked to a higher plan | Yaco |
| Shipping and a gift, then a monthly fee | Kai |
| One free fill and nothing further | Turbo |
| A $5 bar with a 4.0 rating | Progressify |

A Shopify progress bar that shows every shopper the domestic threshold stalls export carts. Set the country number first. Style second. Copy notes are in [free shipping bar copy](/blog/free-shipping-bar-copy.html).

Install [Goalify](https://apps.shopify.com/goalify?src=Ninety9Blog) when the bar has to earn a gift or a discount, not only free shipping. Read [stacked cart goals](/blog/stacked-cart-goals.html) before you publish three fills on day one. One honest threshold beats a ladder nobody can finish.

### FAQ

**What is the best Shopify progress bar app in 2026?**

Goalify. It is a Shopify progress bar app for a gift and a discount, not only shipping, with country thresholds and A/B tests, free under 10 orders a month. A single shipping fill is a simpler widget you outgrow.

**Where should a Shopify progress bar sit?**

At the top of the cart drawer, and as a quiet storefront bar if the threshold should be visible before add to cart. Placement notes are in [where to put a progress bar](/blog/where-to-put-a-progress-bar.html).

**Can one Shopify progress bar unlock more than free shipping?**

Yes, in Goalify. Free shipping, an order discount and a gift can stack. A second app for the gift is how the bar and the cart disagree.

**Should the progress bar use the same threshold in every country?**

No. A domestic minimum shown to an export cart stalls the order. Goalify sets the number per country, in the shopper's currency.

**How is a progress bar different from a free shipping bar?**

A free shipping bar is one goal. A progress bar app should be able to hold the next goal too. The shipping-only shortlist is in [free shipping bar apps](/blog/best-shopify-free-shipping-bar-apps-2026.html).

## Best 5 Shopify upsell popup apps (2026)

URL: https://ninety9.dev/blog/best-shopify-upsell-popup-apps-2026.html
Published: 2026-10-13 (updated 2026-10-13)
Category: Bundles & Upsells · App: Monet • AI Popup Bundle Addons
Reading time: 7 minutes

A 2026 comparison of Shopify upsell popup and add-to-cart popup apps. Features, pricing and where Monet, BA, Kaching, Jumi and EA fit.

A Shopify upsell popup is an overlay that offers one more product after the shopper has already leaned in. The useful versions fire on add to cart, at the start of checkout, or on exit. The rest fire because a timer expired. Shoppers learn to close those.

Merchants search both "Shopify upsell popup" and "Shopify add to cart popup". This is that list. The ranking favours a product offer at add to cart, checkout start or exit, not a promotion engine that also happens to upsell.

![One product, one price, one add button and a skip link](/assets/img/blog/best-shopify-upsell-popup-apps-2026-inline.jpg "A popup is a yes or no. A grid is a catalogue.")

## How these upsell popup apps were ranked

[Add to cart popup upsells](/blog/add-to-cart-popup-upsell.html) and [exit-intent popups](/blog/exit-intent-popups-shopify.html) are the two jobs. The list weights:

1. **Whether the trigger is intent**, not a countdown on a collection page.
2. **Whether the overlay sells a product**, with a picture, a price and one add.
3. **Whether the plan stays free or cheap when the offer is the whole product.**
4. **Whether email capture and sitewide promo banners live somewhere else.**

[Monet](https://apps.shopify.com/monet?src=Ninety9Blog) is first because it only does those three moments, it is free, and it will not turn the add-to-cart frame into a newsletter. It has four public reviews. That is disclosed on purpose. Review count is not a trigger.

## Comparison table

Ratings and prices below are from the Shopify App Store listings as of October 2026.

| Rank | App | Rating | From | Triggers | Also does | A/B test |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | [Monet](https://apps.shopify.com/monet?src=Ninety9Blog) | 5.0 / 4 | Free to install | Add to cart, checkout start, exit | Bundles, cross-sell, add-ons, BOGO | No |
| 2 | [BA Popup Upsell](https://apps.shopify.com/not-another-popup-upsell) | 5.0 / 25 | Dev stores free, then $7.99 | Add to cart, exit, timer | Bundles, quantity breaks | Yes |
| 3 | [Kaching Upsell & Email Popup](https://apps.shopify.com/popup-upsell) | 5.0 / 137 | Dev stores free, then $4.99 | Popups with targeting | Email capture | Not the headline |
| 4 | [Upsell Popup by Jumi](https://apps.shopify.com/push-upsell-popup) | 5.0 / 34 | Free to $100 extra revenue, then $4.99 | Targeted popups | Revenue-banded plans | Not listed |
| 5 | [EA Bundles & Upsell Popups](https://apps.shopify.com/ea-upsell-popups-cross-sell) | 4.9 / 24 | Free plan, then $9.99 | Cross-sell popup | Bundles, BOGO, quantity breaks | Not the headline |

## 1. Monet — a product, at the moment it belongs

Monet is a Shopify upsell popup app. It opens on add to cart, when checkout starts, or on exit. Those are the three moments that already have a product in mind. It does not open because ten seconds passed.

The layouts are a bundle, a cross-sell or an add-on. The product can be chosen by you or suggested from purchase patterns. Discounts can be percent, flat, BOGO, tiered or volume, with a countdown when the deadline is real. Targeting can use country and customer tag. Analytics show views, add-to-cart rate and conversion per popup.

It is free to install. It does not collect email. It is not a thank-you-page upsell. If you need a list, keep the list tool. If you need a post-purchase offer, that is a different surface.

**Pros**
- Three intent triggers, no browse-interrupting timer as the product
- Bundle, cross-sell and add-on templates
- Country and tag rules
- Free, with no view cap on the listing

**Cons**
- Four public reviews
- No A/B test inside the app
- Wrong tool for a sitewide "10% off this weekend" banner

The add-to-cart version can be the set. The exit version should be smaller. [Goalify](/apps/goalify.html) can own the shipping maths. Monet can own the product ask.

## 2. BA Popup Upsell

[BA](https://apps.shopify.com/not-another-popup-upsell) adds a timer to add-to-cart and exit. 5.0 from 25 reviews. Built for Shopify. Paid plans from $7.99, $14.99 and $29.99 are billed on added revenue. All features sit on every paid plan, including bundles, quantity breaks, live preview and A/B testing.

The A/B switch is the listing. The timer is the feature most likely to fire on a collection page, which is the page that should not have a popup. Testing two overlays does not fix a trigger you should not run. Monet stays on the three moments. You do not pay on attributed revenue to keep it there.

**Pros**
- Add to cart and exit in the same app
- All features on every paid plan

**Cons**
- Timer trigger is easy to misuse
- You pay on attributed revenue once you leave the dev-store plan
- A/B is not a reason to put a countdown on browse

## 3. Kaching Upsell & Email Popup

[Kaching](https://apps.shopify.com/popup-upsell) is the suite popup. 5.0 from 137 reviews. Built for Shopify. Free on development stores, then $4.99, $12.99 and $24.99. Unlimited popups, targeting, customisation — and email.

Email and a product upsell are different successes. A shopper who just added a bottle does not owe you their address. Mixing the two in one overlay usually gets a close. Keep the list tool. Keep the product offer. Do not put both in the add-to-cart frame.

**Pros**
- Low paid entry
- Familiar if you already run Kaching

**Cons**
- Email capture in the same product
- Easy to publish a promotion overlay instead of an offer
- Paid once you leave a development store

## 4. Upsell Popup by Jumi

[Jumi](https://apps.shopify.com/push-upsell-popup) is a focused popup listing. 5.0 from 34 reviews. Built for Shopify. Free up to $100 a month in additional revenue, then $4.99, $12.99 and $22.99 as that number grows. Unlimited views and offers on the published plans.

A revenue band is simple until the app and finance disagree about what "additional" means. Read the current definition on the listing. Confirm the triggers on the plan screen before you promise add-to-cart-only. Monet publishes those three moments without a revenue meter.

**Pros**
- Free band for a small extra-revenue number
- Dedicated popup, not a full promo suite

**Cons**
- Trigger list is thinner on the public listing than Monet's
- Pricing follows attributed revenue
- The free band ends when the offer works

## 5. EA Bundles & Upsell Popups

[EA](https://apps.shopify.com/ea-upsell-popups-cross-sell) is a cross-sell popup with bundles attached. 4.9 from 24 reviews. A free plan is on the listing. All features are listed at $9.99, including bundles, BOGO and quantity breaks.

A popup plus a quantity-break builder is two products. The add-to-cart moment needs one product and one button. Quantity breaks belong on the product page, in a bundle app, not inside an overlay the shopper did not ask to configure.

**Pros**
- A free plan
- Cross-sell is on the listing

**Cons**
- The popup is bundled with a wider offer builder
- Twenty-four reviews
- $9.99 to unlock the full feature list

## Which Shopify upsell popup should you install?

| If you need | Install |
| --- | --- |
| A product at add to cart, checkout start, or exit, free | Monet |
| The same overlay, plus a timer you have to keep switched off | BA Popup |
| A popup that also asks for an email | Kaching |
| A simpler popup, billed once the extra revenue shows up | Jumi |
| A popup mixed with a bundle builder | EA |

A popup with four products is a second storefront. The shopper answers yes or no. Extra options turn that into browsing, and browsing is how overlays die. The [one-offer popup rule](/blog/one-offer-popup-rule.html) is the design pass.

Install [Monet](https://apps.shopify.com/monet?src=Ninety9Blog). The overlay has to add a line item. Design the add-to-cart version first. Make the exit version smaller. Leave email and the weekend banner where they already live.

### FAQ

**What is the best Shopify upsell popup app in 2026?**

Monet. The overlay adds a product at add to cart, checkout start or exit, and it is free to install. A/B tests and email capture belong in other tools. They do not belong in the add-to-cart frame.

**When should an upsell popup appear on Shopify?**

After the shopper has committed or is leaving. Add to cart is the cleanest moment. Checkout initiation is a last relevant offer before Shopify checkout. Exit intent is a smaller, cheaper offer. Ranked notes are in [popup triggers](/blog/popup-triggers-ranked.html).

**Will upsell popups hurt conversion rate?**

They can, if they fire on a timer while someone is still reading. Monet does not open on browse. It waits for add, checkout start or leave. Measure add-to-cart rate on the hero as the guardrail.

**Can Monet collect emails?**

No. Monet is a product offer, not a list builder. Keep email capture in the tool you already use for that.

**Should the same popup run on add to cart and on exit?**

No. The add-to-cart version can be the set. The exit version should be cheaper and shorter. Copying one four-product grid onto every moment is how popups get closed on sight.

**Is this the add-to-cart popup ranking too?**

Yes. Add to cart is the cleanest upsell-popup trigger. A separate add-to-cart list would split the same five apps.

## Different Free Shipping Thresholds per Country on Shopify

URL: https://ninety9.dev/blog/different-free-shipping-thresholds-per-country-shopify.html
Published: 2026-10-13 (updated 2026-10-13)
Category: Shipping & Fulfilment · App: Goalify: Free Shipping Bar PRO
Reading time: 8 minutes

How to show a different free shipping threshold per country on Shopify, in the shopper's currency, without one domestic number on every cart.

A $75 free-shipping threshold is a domestic sentence. The label to the next country costs a different amount, the average order is different, and a straight currency conversion is not a strategy. Showing every shopper the home number is how international carts reach checkout and bounce on the shipping price.

## Set the countries that pay you

Pull the last ninety days of orders by country. Keep the two or three that are real. For each, note the average order and a typical label. The foreign threshold should sit just above that country's average, and the extra margin has to cover that country's label. The home method is in [how to set free shipping over $X](/blog/how-to-set-up-free-shipping-over-x-shopify.html). Repeat it per country. Do not multiply $75 by an exchange rate and call it localised.

Round the result in the currency people think in. €70, not €68.40.

## Make the discount match the bar

Shopify's free-shipping discount needs a minimum that matches the bar for that destination. If the discount is one global minimum, the bar can say €40 while checkout still wants the dollar rule. The shopper did the thing the bar asked. Checkout disagreed. That is the bug.

[Goalify](https://apps.shopify.com/goalify?src=Ninety9Blog) stores a threshold per country and shows the remaining amount in the shopper's presentment currency. The bar can sit on the storefront, in the cart, and on the product page. Country rules are part of the product, including on the paid plans that start at $3.99 after the free band under 10 orders. Built for Shopify.

If the cart is a drawer, the same country goal should be what [Addy](/apps/addy.html) shows. Two bars with two countries' numbers is worse than one honest bar.

## What to publish first

| Country | Do this |
| --- | --- |
| Home | The number you already run, written as a remaining amount |
| The next country that actually orders | Its own threshold, from its labels, rounded |
| Everywhere else you ship | A simple second number, reviewed when volume shows up |
| Countries you do not ship to | No bar |

A/B test the home threshold and the export threshold separately. A winner at home is not a winner on a more expensive label. Goalify can test the threshold and the copy.

## One home number, priced as if every label cost the same

A shop ships from the United States. These figures are an example you replace with your own invoices.

| Destination | Recent average order | A typical label | A threshold worth testing |
| --- | --- | --- | --- |
| United States | $54 | $6 | $75 |
| Germany | €48 | €14 | €90 |
| United Kingdom | £46 | £11 | £80 |
| A country with three orders | Too few to average | Whatever the invoice says | No special goal yet |

The US threshold sits just above $54, and the extra item has to cover a $6 label. The German threshold sits further above the average because the label is €14. A straight conversion of $75 into euros ignores that invoice. It also ignores that German prices may already be shown with tax included, so the number on the bar has to be the number the shopper thinks they are spending. If your store shows tax-inclusive prices in that market, the threshold the shopper reads should be tax-inclusive too. Place a test order and compare the bar to the amount Shopify uses for the shipping discount. Those two amounts are the whole feature.

Round in the currency people say out loud. €90, £80, $75. A threshold of €87.40 is a spreadsheet that leaked.

## Markets change the currency. They do not write the goal

Shopify Markets can price a product in euros and show a European catalogue. The progress bar is still a rule you configure. If the bar has one domestic minimum, every market sees it, converted or not. [Goalify](https://apps.shopify.com/goalify?src=Ninety9Blog) stores a threshold per country and shows the remaining amount in the presentment currency. That country configuration is on the paid plans, from $3.99 after the free band under 10 orders a month. Built for Shopify. The bar can sit on the storefront, in the cart, and on the product page.

The Shopify free-shipping discount has to agree. One global minimum means the bar can say €40 while checkout still wants the dollar rule. Build the discount so the destination the shopper selected is the destination the minimum describes. Then add a product until the bar completes, and open checkout. Standard shipping should be free. Remove a unit. It should charge again.

If the cart is a drawer, [Addy](/apps/addy.html) should show that same country goal. A header bar in euros and a drawer bar in dollars is two promises. Keep one.

## What to calculate before you add a fourth country

1. Orders, last ninety days, by country. Drop anyone under a volume you would trust. Three orders is an anecdote.
2. Average merchandise value for the countries you kept.
3. A typical label, from invoices, not from a rate-card guess you made in January.
4. The margin on the item people actually add to close the gap. If that margin is smaller than the label, raise the threshold or stop offering free shipping there.
5. A round number in their currency.
6. One test order. Bar, then checkout, then remove a unit.

A/B tests belong on the countries with enough traffic to finish. Testing a threshold in a country that sends twenty sessions a week will not finish. Test the home number. Test the next real country. Leave the long tail on a simple second number until the orders show up. Goalify compares the threshold and the copy. A winning sentence at home can be copied. A winning number should not.

Countries you do not ship to get no goal. Hide the bar. A remaining amount you cannot fulfil becomes a ticket the moment they pay.

The home arithmetic, including where to set a single $X, is in [free shipping over $X](/blog/how-to-set-up-free-shipping-over-x-shopify.html).

Install [Goalify](https://apps.shopify.com/goalify?src=Ninety9Blog). One bar, more than one number.

## What the shopper actually compares

They do not compare your domestic policy to a strategy deck. They compare the bar to the shipping line at checkout, in the currency on the screen.

Walk Germany with the example numbers. The bar says "€22 away from free shipping" on a €68 cart, because the goal is €90. They add a €24 product. The cart is €92. Checkout shows standard shipping at €0. That is a pass.

Now break it on purpose, so you know what failure looks like. Leave the Shopify discount at a converted $75 minimum, about €70, while the bar says €90. At €75 the bar still asks for more, and checkout has already made shipping free. Or the reverse: the bar completes at €70 and checkout still wants €90. Both are the same bug. The bar and the discount are describing different goals. Fix the discount to the country's number before you translate another string.

Tax changes the number they see. A €90 goal on tax-inclusive prices is a different cash amount from a €90 goal on tax-exclusive prices. Use the figure printed on the product page in that market. Place the test order while previewing as a customer in that country, not while your admin is set to the home market. An admin preview in dollars will "confirm" the domestic rule and miss the export one.

## A sensible order of work

Week one, home only. The bar, the discount, and four test orders. Week two, the next country that actually pays you, with its own label and its own round number. Week three, a test of the home threshold against one alternative, if you have the orders to finish it. The long tail of countries stays on a simple second number, or on no bar if you do not ship there.

Do not launch forty country goals because the spreadsheet had forty rows. Empty rows become wrong rows. Goalify will store the ones you mean, on the paid plans, and show them in the presentment currency. The free band under 10 orders a month is there to prove the home bar. Country configuration is the reason the paid plan exists.

If Addy is the cart, the drawer should read the same remaining amount the header does. Edit the goal once. A second bar with a typed-in conversion will be stale the week rates move, and it was the wrong method even when the rate was fresh.

### FAQ

**Can Shopify Markets use a different free shipping threshold per country?**

Markets can change currency and price. The progress bar still needs its own country rule, or every shopper sees the domestic goal. Goalify stores that rule per country.

**Should the threshold be converted from the home currency?**

Only as a starting guess. A straight conversion ignores the real label cost. Set the foreign number from that country's orders and shipping cost, then round it.

**The bar is in euros but checkout uses the dollar minimum. What happened?**

The bar converted the display and the discount did not, or the reverse. The qualifying amount and the displayed amount have to be the same rule.

**Do I need a different bar design per country?**

No. The same bar, a different number. Design is the last step.

**What about a country I do not ship to?**

Do not show them a free-shipping goal. Hide the bar, or show that you do not ship there. A goal you cannot fulfil is a complaint.

**Do I convert $75 into euros and publish that?**

Only as a draft number. Replace it with a threshold built from that country's orders and that country's label, then round it.

**Are country thresholds on the free Goalify plan?**

Country configuration is on the paid plans, from $3.99 a month after the free band under 10 orders. The free plan is the bar, the goals, and the analytics.

## Do Popups Hurt Shopify SEO? Google's Mobile Popup Rules

URL: https://ninety9.dev/blog/do-popups-hurt-shopify-seo.html
Published: 2026-10-13 (updated 2026-10-13)
Category: Bundles & Upsells · App: Monet • AI Popup Bundle Addons
Reading time: 7 minutes

Google's mobile interstitial rules, and which Shopify popups can affect rankings. Add-to-cart overlays are not the same as a page-load takeover.

Popups can hurt Shopify SEO when they behave like a gate. Google's mobile guidance on intrusive interstitials is about a page that, when reached from search, is covered by a full-screen layer before the shopper can read it. The content they clicked is behind a promotion. That pattern can be a ranking problem. It is not a story invented by popup vendors, and it is not a reason to ban every overlay.

## What Google actually described

The pages at risk are mobile landing pages. The popup shows on arrival, or immediately after, and it covers the main content. A newsletter, an app install, or a discount that has to be dismissed before the product can be read. Google has carved out things a page must show: a cookie or legal notice, an age gate, a login. A marketing offer is not on that list.

A banner that uses a strip of the screen is not the same object as a full-screen takeover. Size and timing are the whole argument.

## What a selling popup is allowed to be

[Monet](https://apps.shopify.com/monet?src=Ninety9Blog) does not open because a timer expired while someone was reading. It opens after add to cart, when checkout starts, or when the shopper is leaving. The shopper has already reached the product. The offer is a second item, not a wall in front of the first one.

That is a better shape than a page-load interstitial. It is not a claim that Google has reviewed Monet, and it is not a claim that the popup has no effect on anything. A full-screen layer is still a full-screen layer if you let it cover the product after the tap. Keep one product in it. Make the dismiss control obvious. Do not chain a second popup after a no.

Monet does not ask for an email. The SEO risk of a newsletter gate is a different product, usually a different app, firing on arrival. Leaving that app on a five-second delay does not make it "after the content".

## A practical split

| Popup | Timing | SEO posture |
| --- | --- | --- |
| Full-screen discount on landing | On load | The pattern Google warned about |
| Newsletter covering the product | On load or a short delay | Same family. Delay is not a defence |
| Cookie or age notice | On load, as small as the law allows | The exception, still not a place for a sale |
| Offer after add to cart | After a click | A response, not a gate |
| Offer as checkout starts | After they chose to pay | A response |
| Exit on desktop | After they move to leave | Weaker, and easy to overuse |

If you want the offer without a popup at all, put one complement in the [Addy](/apps/addy.html) drawer. The product page stays clear. The ask happens in the cart they just opened.

## What this article will not promise

No one can honestly say "popups do not affect SEO". A theme that injects a full-screen app on every collection URL can affect it. Check the mobile landing page from a search result, not from the theme editor. If the first thing on the screen is a sale, remove that app before you blame the product page.

## What to look at on a phone

Google's intrusive-interstitial guidance is about mobile pages reached from search. The content the person clicked is covered, on arrival or immediately after, by a layer they have to dismiss. The examples Google has pointed at are promotions: a newsletter, an app install, a discount. Legal notices, cookie consent, age gates and sign-in are the carve-outs, because the page cannot function without them. A 15% code is not on that list.

A strip of the screen is a different object from a layer that hides the product. You do not need a pixel count to see which one you shipped. Hold the phone. If you can read the product title, the price and the add-to-cart button without dismissing anything, you are in the safer shape. If the first tap is "no thanks", you are in the pattern the guidance describes.

Do this in a private window, from a results page, on a phone. The theme editor hides the problem, because you are already inside the page. Check the URLs search actually lands on.

| URL people land on | What you want to see first | What to remove |
| --- | --- | --- |
| A product | Title, price, add to cart | A full-screen code on load |
| A collection | The grid | The same code, especially with a short delay |
| A blog post | The article | A newsletter that covers the post |
| The homepage | The homepage | An app-install wall |
| After they tap add to cart | The offer, easy to dismiss | A second wall after they decline |

Collection and blog URLs are where newsletter apps usually fire, because that is where new visitors arrive. A product-page upsell that waits for a click does not repair a collection page that is covered on load. Audit every template that ranks, not only the one you redesigned.

## Delay, size, and a second popup

A popup that waits five seconds and then covers the screen is still the first thing that happens on the visit. The shopper has not finished reading. Moving the timer from zero to five does not turn a gate into an answer.

A banner that uses a band at the top or bottom leaves the product readable. That is the shape to prefer for anything that must be on screen at once, including consent. Consent can still be larger than it needs to be. A consent layer that is really a sale, with a discount in the same modal as the cookie buttons, borrows the legal exception for a promotion. Split them. The legal control stays as small as the law you operate under allows. The sale waits for a click.

A second popup after "no" is a second gate. One offer. [Monet](https://apps.shopify.com/monet?src=Ninety9Blog) opens after add to cart, when checkout starts, or when the shopper is leaving. It does not open because a browse timer expired. It does not ask for an email. That is a better shape than a page-load interstitial. It is not a review by Google, and it is not a promise that the popup has no effect. If you let that offer go full screen and hide the product after the tap, you have rebuilt the wall one step later. Keep one product in it. Make the dismiss control obvious.

Exit on a phone is a weak signal, and a full-screen exit layer on a landing URL sits closer to the warned pattern than a small card after add to cart. Prefer the click. The offer examples are in [pre-purchase upsells](/blog/pre-purchase-upsells-shopify.html).

## Other tools that can still cover the page

Walk the published theme with every app embed on, because the popup you remember is rarely the only one.

- A newsletter or spin-to-win app set to "on arrival" or "after a delay".
- A countdown bar that expands into a modal.
- A cookie tool styled as a full-screen sale.
- A slide cart and a popup both opening on the same add, so the screen is two layers deep.
- An old additional script on a page that still injects a modal. Those scripts are a poor place to keep a promotion anyway.

Turn them off one at a time and reload the landing URL. The one that changes the first screen is the one that matters. Leave Monet, or the [Addy](/apps/addy.html) drawer, for the moment after they choose a product. The product page they found in search should be readable when it loads.

Install [Monet](https://apps.shopify.com/monet?src=Ninety9Blog) when the offer should follow an action. Check the landing URL on a phone before you call the store clean.

### FAQ

**Do popups hurt Shopify SEO?**

A full-screen popup that covers a mobile landing page as soon as it loads can. Google has said those intrusive interstitials can make the page harder to reach and can affect ranking. An overlay that follows a tap is a different pattern.

**Are add-to-cart popups interstitials?**

They cover content, but they follow an action the shopper just took. Google's warning is aimed at popups that block the content before the shopper can read it. Do not treat that as a certificate. Keep the popup small enough to dismiss, and do not fire it on arrival.

**What about exit-intent on mobile?**

Exit on a phone is a weak signal. A full-screen exit layer on a landing page is closer to the thing Google described than a small cart offer after a click. Prefer the add-to-cart moment.

**Does Google penalise every email popup?**

The public guidance is about intrusive interstitials on mobile search landing pages, not a ban on email. A newsletter that covers the screen on arrival is the risky version. Monet does not collect email at all.

**Will installing Monet protect my rankings?**

No app can promise that. Monet avoids the page-load takeover. Your other apps, your theme, and a cookie banner the size of the screen can still create the problem.

**Does a five-second delay make a landing popup safe?**

No. The shopper still meets a wall before they can read the page they opened. Delay changes the clock. It does not change the pattern.

**How do I check my own store?**

Open a product URL from a search result on a phone, in a private window. The first screen should be the product. A sale that has to be dismissed first is the pattern to remove.

## Hextom Free Shipping Bar Alternatives

URL: https://ninety9.dev/blog/hextom-free-shipping-bar-alternatives.html
Published: 2026-10-13 (updated 2026-10-13)
Category: Shipping & Fulfilment · App: Goalify: Free Shipping Bar PRO
Reading time: 7 minutes

Hextom Free Shipping Bar alternatives for Shopify. Goalify, Essential, Hoppy, Yaco and Turbo compared when one message bar is no longer enough.

Hextom is the bar a lot of stores installed first. Progressive shipping messages, a free plan, paid from about $9.99, Built for Shopify, 4.9 from about 2,800 reviews on the App Store listing. It tells the shopper there is a goal, and it stops there.

The stores that outgrow it are not confused about the message. They need a second goal, a different number in another country, or a test of the threshold. A message bar does not grow into that. These are the alternatives, with Goalify first.

Ratings are from the Shopify App Store as of October 2026.

| App | Rating | From | What you are actually buying |
| --- | --- | --- | --- |
| [Goalify](https://apps.shopify.com/goalify?src=Ninety9Blog) | 5.0 / 48 | Free under 10 orders, then $3.99 | Stacked goals, country thresholds, A/B tests |
| [Essential](https://apps.shopify.com/essential-order-value-booster) | 5.0 / 974 | Free to 1,000 views, then $9.99 | A single-job bar, then a view cap |
| [Hoppy](https://apps.shopify.com/hoppy-free-shipping) | 4.8 / 264 | Free | A bar that also tries to upsell |
| [Yaco](https://apps.shopify.com/upsellprogressbar) | 4.9 / 22 | Free plan, then about $9.90 | A bar pointed at an upsell. A/B sits on a higher plan |
| [Turbo](https://apps.shopify.com/turbo-progress-bar) | 4.8 / 20 | Free | One fast goal, a short review record |

## Goalify

Goalify is the Hextom alternative when the bar has to become a sequence. Free shipping, then a discount, then a gift. The threshold can change by country, in the shopper's currency, on the paid plans. If the cart is short, an AI suggestion from real orders can close the gap. A/B tests compare the number and the copy. Bar or widget, including inside a cart drawer. Free under 10 orders a month, then $3.99, $7.99 and $11.99. Built for Shopify. 48 reviews is a smaller crowd than Hextom. The sequence is the product Hextom's crowd still has to go shopping for.

## Essential

A high-review bar. Free until 1,000 booster views, then $9.99 and up. Geolocation and the extra pieces sit on paid plans. Views are a painful meter if you buy traffic. One fill, billed like a campaign.

## Hoppy

Listed as free, with a bar plus upsells, gifts and discounts. 4.8 from 264 reviews. A free bar that also wants to recommend products will crowd the cart. The threshold still needs a test. Hoppy does not list one.

## Yaco

A progress bar aimed at an upsell. The test is on the Optimize plan, not the plan you start on. A smaller, narrower tool.

## Turbo

A free single goal. 4.8 from 20 reviews. Fine as a placeholder. Thin as the bar you run for a year.

## When to leave Hextom

| You need | Stay or move |
| --- | --- |
| One domestic sentence, already working | Stay |
| A second reward on the same bar | Goalify |
| A different number per country | Goalify |
| A test of the threshold | Goalify |
| A view-capped bar with a huge review count | Essential |
| A free bar that also upsells | Hoppy, and watch the cart get noisy |

Disable Hextom's embed before you enable the next one. Two remaining amounts is worse than the old bar. Match the Shopify free-shipping discount to the new number the same day. The setup is in [free shipping over $X](/blog/how-to-set-up-free-shipping-over-x-shopify.html).

## What you outgrow, in one cart

A message bar can say "$18 away from free shipping". That is a complete product if it is the only promise you will ever make. The next request is almost always a sequence. These numbers are an example.

| Cart | What the shopper should see |
| --- | --- |
| $40 | "$35 away from free shipping" |
| $75, shipping unlocked | "Free shipping. $25 away from 10% off" |
| $100 | "You have 10% off. $20 away from a pouch" |
| $120 | The pouch is in the cart at $0 |

One bar carries that. The thresholds move together when you edit them. A message app plus a discount app plus a gift app is three remaining amounts, and they will disagree the first week someone changes only one. [Goalify](https://apps.shopify.com/goalify?src=Ninety9Blog) is the sequence: shipping, then a discount, then a gift. If the cart is short of the next line, a suggestion from your own orders can name one product that closes it. That suggestion is only useful after the number itself is true.

Country is the other way a message bar runs out. $75 domestic and €90 in Germany are two configurations of one bar, on Goalify's paid plans, shown in the shopper's currency. Copying the home sentence into every market is how export checkout stalls. The arithmetic is in [thresholds per country](/blog/different-free-shipping-thresholds-per-country-shopify.html).

A test is the third way. "Is $75 better than $85?" is a question a message bar does not answer. Goalify can run the threshold and the copy against each other. You still need enough orders for the test to finish. A test on a quiet country will sit there looking scientific.

## How to compare them on your cart, not on the review count

Hextom's 4.9 from about 2,800 reviews means a lot of stores run a message. It does not mean the message can become three goals. Essential's 5.0 from 974 reviews is a popular single-job bar with a view cap after the free band. Hoppy's 4.8 from 264 is a free bar that also wants to recommend products. Yaco's 4.9 from 22 is a bar aimed at an upsell, with the test on a higher plan. Turbo's 4.8 from 20 is a free single goal with a short record.

Install the one you might keep on a development or quiet theme. Put the same $75 goal on it. Then ask five questions.

1. Does the remaining amount match checkout after a code?
2. Can a second reward appear on the same bar without a second app?
3. Can Germany have a different number, in euros?
4. Can you test $75 against $85?
5. What happens to the bill when traffic arrives? Views, order caps, and a flat fee are different meters. Goalify's paid plans are $3.99, $7.99 and $11.99 by order volume, after a free band under 10 orders a month.

If the answer to 2, 3 and 4 is no, you are still on a message bar. That can be the right tool. It is not an alternative to a sequence.

## The day you switch

1. Write down the live threshold and which shipping rates are free.
2. Build that same number in Goalify. Add the second goal only after the first matches checkout.
3. Preview on the published theme.
4. Place one order over the line and one under it.
5. Turn the old embed off. Confirm a customer only sees one remaining amount.
6. Uninstall the old app once that order is right.
7. Tell whoever edits discounts that the Shopify shipping discount is still the thing that makes shipping free. The bar only displays it.

A view-capped bar is a reasonable choice if you want a huge review count and you will watch the meter. A free bar that also upsells will compete with the cart for attention. Neither one is the stack.

Tell the person who edits the theme that the bar moved, and tell the person who edits discounts that the discount did not. The most common failed switch is a new bar on an old minimum. The customer did the new thing. Checkout still enforces Thursday's number. Put both numbers in the same note, in the same currency, and do not archive the note until a test order has agreed with it. If the test order disagrees, change the discount or the bar before you uninstall anything. The old bar, still correct, is better than a new bar that lies.

Install [Goalify](https://apps.shopify.com/goalify?src=Ninety9Blog).

### FAQ

**What is the best Hextom Free Shipping Bar alternative?**

Goalify, if the bar has to stack a reward, change by country, or be tested. Hextom remains the simpler message bar.

**Is Hextom Free Shipping Bar free?**

There is a free plan. Paid plans start around $9.99. Confirm the current screen before you promise finance a $0 line forever.

**Will switching bars break my free-shipping discount?**

The Shopify discount is separate from the bar app. Match the new bar's threshold to that discount before you uninstall the old bar. Do not run two bars.

**Can I keep Hextom and add Goalify?**

No. Two bars means two remaining amounts. Disable one embed.

**I only need a top-of-page message. Do I still switch?**

Not for that sentence alone. Switch when the message has to become a sequence or a different number abroad.

**What does a second goal actually look like?**

Free shipping at the first number, a discount at a higher one, a gift at a higher one still. One bar, revealed in order. Two apps do not make that sequence.

**When do I uninstall the old bar?**

After one real order where the new bar and the shipping discount agree. Disable the old embed first. Uninstall once that order looks right.

## How to Add a Slide Cart to Your Shopify Store (Dawn and Free Themes)

URL: https://ninety9.dev/blog/how-to-add-a-slide-cart-shopify-dawn.html
Published: 2026-10-13 (updated 2026-10-13)
Category: Cart & Checkout · App: Addy: AI Cart Drawer & Bundles
Reading time: 7 minutes

How to add a Shopify slide cart on Dawn and other free Online Store 2.0 themes with an app embed, without editing cart-drawer.liquid.

Dawn already slides a cart in from the side. So do Craft, Sense, Refresh, and most free themes Shopify ships now. The job is not "add a drawer". The job is to replace the theme's receipt with a cart that can sell, without forking `cart-drawer.liquid`.

## What you are replacing

The theme drawer shows line items, a subtotal, and checkout. That is a receipt. A selling slide cart adds one complement, the distance to free shipping, a gift if the cart earned it, and a delivery window. [Addy](https://apps.shopify.com/addy-cart-drawer?src=Ninety9Blog) drafts that cart from the products you sell and the way the brand looks. You edit the draft. You do not start from a blank column the week the theme goes live.

It is a theme app extension. It loads when the cart opens, so it stays off the first paint. Uninstall leaves no Liquid behind. It is free to install. A/B tests are in the app, so two versions of the drawer can run without a theme branch.

## Add it on Dawn

1. Install Addy from the Shopify App Store.
2. Online Store, Themes, Customize. Open the theme you actually publish. Dawn's unpublished copy is a different theme.
3. App embeds. Turn Addy on. Save.
4. Add a product on the preview. The slide cart that opens should be Addy's, not Dawn's empty-looking drawer with a second icon.
5. If Dawn's drawer still opens, disable the theme cart drawer in the theme settings, or stop the product form from calling it. One drawer.
6. Check the cart icon in the header. It should open the same slide cart, not send the shopper to `/cart` while the button opens a drawer.
7. Repeat on a phone. Dawn's header is tight. A drawer that is fine at 1440px can cover the close button at 390px.

The same embed works on the other free Online Store 2.0 themes. The setting that hides the theme drawer moves. The embed does not. Do not copy a snippet from a 2021 blog into `theme.liquid`. Theme updates delete those snippets, and the cart "breaks" the morning after.

## What to put in the drawer

Progress, line items, one upsell, a delivery estimate, checkout. That order is the one in [cart drawer vs cart page](/blog/cart-drawer-vs-cart-page.html). A third product row is browsing.

If the threshold should change by country, the bar can be [Goalify](/apps/goalify.html) inside the Addy drawer. If the offer is a bundle with its own price, [Addly](/apps/addly.html) owns the discount and Addy presents it. Do not install a second slide cart to get a bar.

## Dawn's cart, and the other free themes

Dawn's theme settings include a cart type. Drawer keeps the shopper on the product. Page sends them to `/cart`. If you are replacing Dawn's cart with an app, the setting that matters is that Dawn stops opening its own drawer when Addy opens. Two animations, one button.

The same embed is how you add a slide cart on the other free Online Store 2.0 themes Shopify ships: Craft, Sense, Refresh, Ride, Studio, Taste, Origin, Crave, Publisher, Colorblock. The label for "hide the theme cart" moves. The embed does not. A snippet pasted into `theme.liquid` from an old tutorial is the thing a theme update deletes. The cart then "breaks" the morning after, because the snippet is gone and the app embed was never the thing opening.

Vintage themes that are still Online Store 1.0 are a different install. Confirm the theme is 2.0 before you promise a no-code embed. Addy installs as a theme app extension on Online Store 2.0 themes. There is no theme-file edit, and uninstall leaves nothing behind.

## What a selling drawer contains

Use one product the store actually sells and write the drawer as a list.

| Block | Example on a $32 serum |
| --- | --- |
| Progress | "$18 away from free shipping" once the threshold is $50 |
| Lines | Serum, 30 ml, quantity, price, remove |
| One upsell | The moisturiser people already buy with it, one click, no reload |
| Delivery | A window you can keep, such as "leaves the warehouse tomorrow" |
| Checkout | The button, larger than the upsell |

A third product row is browsing. Gift wrap is a line they add, with a price. Shipping protection is a toggle that starts off. The longer block list, including the 40 or so Addy can place, is in the [cart drawer guide](/blog/shopify-cart-drawer-complete-guide.html). You do not turn them all on. The draft gives you a cart. You delete until the button is obvious.

[Addy](https://apps.shopify.com/addy-cart-drawer?src=Ninety9Blog) builds that first draft from the catalogue and the brand. Markets and customer tags can change the layout, a single block, or the threshold. Prices render in the shopper's currency. It loads when the cart opens, so it stays off the first paint. A/B tests compare two versions of the drawer without a second theme.

If the threshold itself should be its own test, [Goalify](/apps/goalify.html) can run that bar inside the drawer. If the offer is a bundle with its own price, [Addly](/apps/addly.html) owns the discount and Addy presents it. A second slide cart, installed to get a bar, is how add to cart appears to do nothing. The fixes are in [cart drawer not updating](/blog/shopify-cart-drawer-not-updating.html).

## A pass on the published theme

Do this on the theme customers see, in a normal browser, not only inside the editor.

1. Add the serum. The slide cart opens with that line.
2. Increase the quantity. The line and the subtotal move.
3. Remove it. The drawer is empty, and the header count matches.
4. Open the bag icon. It is the same drawer, not `/cart` and not Dawn's old drawer.
5. Add from a collection quick-add, if you use one. Some quick-add buttons are a second form.
6. Narrow the window to a phone width. The close control is visible. Checkout is visible without a hunt.
7. Switch country if you run Markets. Currency and the threshold follow the shopper.
8. Place the order. The amount paid matches the drawer.

Save the theme after the embed is on. An embed that exists only in an unpublished "Dawn copy" is invisible on the live shop.

## When Dawn's drawer is enough

A wholesale catalogue with no second item, no gift, and one market can keep the theme drawer. It is a receipt, and a receipt is the right cart when there is nothing to add. The week you want one complement or a different cart per country, start in the app. Forking `cart-drawer.liquid` to add a product row is how the next Dawn update becomes a project.

Leave these out of the first version even though the block exists. A countdown with no real end. A second and third upsell. A discount field in a louder colour than checkout. An announcement that repeats the header. Each one is available in Addy. Each one can wait until the drawer has taken orders and you know the first upsell is the right product. Custom HTML and CSS are there when a block cannot match the brand. They are not the first afternoon's job. Preview the drawer, then open the published shop in a private window. The editor can show an embed the live theme does not have until you save. Do that save on the published theme, then add one product outside the editor before you call the slide cart live. If the published shop still opens Dawn's drawer, the theme cart is still bound to the button.

Install [Addy](https://apps.shopify.com/addy-cart-drawer?src=Ninety9Blog). The first afternoon is a drafted cart you edit, on Dawn or on any other free Online Store 2.0 theme.

### FAQ

**Does Dawn need a slide cart app?**

Dawn includes a basic cart drawer. It lists the lines. It does not draft upsells, gifts, a delivery date or a different cart per market. That is the app.

**Will this work on Craft, Sense, Refresh and the other free themes?**

Yes, if the theme is Online Store 2.0. Addy installs as a theme app extension. Enable the embed, save, and test add to cart. You should not edit theme code.

**What if both drawers open?**

The theme cart and the app cart are both bound to the same button. Turn the theme drawer off, or stop the theme from opening its own drawer on add. One button, one cart.

**Do I have to edit cart-drawer.liquid?**

No. Liquid edits are how a theme update wipes the cart, and how uninstall leaves a broken drawer. Use the app embed.

**Can the slide cart differ by country?**

Yes, in Addy. Layout, offers and the free-shipping threshold can change by market and by customer tag.

**Dawn has a cart type setting. Which one should I pick?**

Drawer, if you are keeping Dawn's own cart. If Addy is the cart, stop Dawn opening a second drawer on the same button. Page is the full cart, and it sends people away from the product.

**What should I test after the embed is on?**

Add, change quantity, remove, open the header icon, apply a code, and do it again at a phone width. Then place one order through checkout.

## How to Automatically Add a Product to Cart on Shopify

URL: https://ninety9.dev/blog/how-to-automatically-add-a-product-to-cart-shopify.html
Published: 2026-10-13 (updated 2026-10-13)
Category: Average Order Value · App: Goalify: Free Shipping Bar PRO
Reading time: 7 minutes

How to auto-add a Shopify product to the cart: a cart link for a chosen variant, and a gift that adds itself when a threshold is met.

Automatically adding a product to the cart means two different jobs. One is a link that puts a known variant in the bag when someone clicks. The other is a gift that appears on its own once the cart qualifies. Stores mix them up, then wonder why a "free" item never shows, or why a paid item showed up without a yes.

## The click method

Shopify can add a variant from a URL. You need the variant ID, not the product handle. A button, a banner, or a post-purchase email can point at that link. The shopper clicks. The variant is in the cart.

That is not automatic. Nothing watches the subtotal. Nothing swaps the gift when the season changes. Use it for a campaign landing page where the click is the decision. Do not use it as the free-gift system.

## The rule method

A free gift should add itself when the cart crosses a line you set: a subtotal, an item count, or a specific product already in the bag. [Goalify](https://apps.shopify.com/goalify?src=Ninety9Blog) does that. You pick the gift, the condition, and where the progress bar sits. When the cart qualifies, the gift is added. When it no longer qualifies, the gift should leave with it. A gift that sticks after the shopper removes the qualifying item is a support ticket.

The bar is the warning. "You are $18 from a pouch" is a task. A gift that materialises on the checkout page, with no bar on the product page, feels arbitrary. Put the bar in the cart, and on the product page if the threshold should be visible before the first add.

Country thresholds matter here. A $75 gift in the home market is a different gift abroad. Goalify sets the number per country. One global rule auto-adds the gift for the wrong carts.

## What not to auto-add

| Line | Add it automatically? |
| --- | --- |
| Free gift at a threshold | Yes, with the rule visible on a bar |
| Sample the shopper already agreed to | Yes |
| A paid complement | No. One click, in the cart or a popup |
| A second gift "while you are here" | No |
| Shipping protection | No, unless the toggle is on the cart and off by default |

Paid upsells belong on a button. [Addy](/apps/addy.html) can show the complement in the drawer with a one-click add. [Monet](/apps/monet.html) can ask after add to cart. Neither should insert a priced line the shopper did not confirm.

## A worked cart

This is an example you can copy with your own prices. It is not a result from a store.

The serum is $32. The pouch costs you $2.10 landed. Recent orders sit around $48, so a gift at $75 asks for about one more full-size item. A shopper adds the serum ($32) and a cleanser ($28). The subtotal is $60. The bar says "$15 away from a pouch". They add an $18 toner. The subtotal is $78. The pouch appears at $0.

They remove the toner. The subtotal is $60 again. The pouch has to leave with it. A gift that stays after the qualifying item is gone is a $2.10 giveaway, and the next shopper will learn to add, collect the gift, and remove. [Goalify](https://apps.shopify.com/goalify?src=Ninety9Blog) adds the gift when the condition is met. The same condition has to be able to take it back.

## Money rules and unit rules

A subtotal rule follows price. A quantity rule follows units. They split as soon as a code is applied.

Three soaps at $12 are $36. A 20% code makes the cart $28.80. A rule that says "spend $30 and the gift adds" just failed, with three units still in the bag. If the offer is really "any three", use the item count. If the offer is "this order is large enough to afford the pouch", use the subtotal. Place one test order with a code on it and write down which figure checkout used. The bar and the gift have to use that same figure. A bar that celebrates, and a cart that then removes the gift, is the bug shoppers describe as the gift "not working".

Goalify can trigger on cart value, on item count, or on a product already in the bag, and those conditions can be combined. "Spend $75 and the order contains the serum" stops the pouch attaching to a cart of accessories that never included the product the pouch belongs with.

## The gift is a variant

A product with sizes cannot be added until a variant is chosen. Pick the variant you will actually pack. If that variant hits zero, the rule should fail quietly. A line that says the gift was added, then shows sold out, is worse than no gift. Keep a second variant only if you are willing to pack either one, and say which one on the bar. "A pouch" and "the travel pouch, 30 ml" are different promises.

Price the line at $0 through the gift rule. A 100% code the shopper has to remember will miss the carts that qualified in a hurry. Goalify resolves the gift with the cart. You do not also need a code.

## When a link is still the right tool

Use a link when the decision is the click. A campaign page for a kit. A button under a guide. An email to people who already own the device and should add the case. You need the variant ID. In admin, open the product, open the variant, and use that variant. The product handle is the wrong ID, because one handle can be four sizes.

The link does not know the subtotal. It adds the variant when it is clicked, including on a cart that already has it, depending on how the theme merges identical lines. It will not remove itself when the cart shrinks. Publish it as a button. Keep the automatic gift on the rule.

## Paid lines stay on a button

A $14 case that appears because the phone was added is a charge nobody confirmed. Show the case in the [Addy](/apps/addy.html) drawer as one row with a price and an add button. Or ask once in [Monet](/apps/monet.html) after add to cart. Shipping protection belongs on a toggle that starts off. A second gift at a higher threshold can wait until the first gift has been packed for a week without support tickets.

Selling plans are a different cart shape. If you sell subscriptions, place one test with a plan selected before you promise the gift on that product. A rule written against the one-time variant does not automatically describe the plan.

## What to check before you announce it

| Check | A pass looks like this |
| --- | --- |
| Under the threshold | The bar shows a remaining amount. There is no gift line |
| Cross the threshold | The gift is $0. The bar completes |
| Remove a unit | The gift leaves. The remaining amount comes back |
| Apply a code | The bar and the gift still agree |
| Gift variant sold out | There is no broken $0 line |
| Another country | The threshold is that country's number. Country rules are on Goalify's paid plans, from $3.99 after the free band under 10 orders |
| A phone | The gift line is smaller than checkout |

The threshold itself uses the same percentile idea as [a free-shipping threshold](/blog/free-shipping-threshold-calculator.html). One global $75 will add the pouch on carts that never reached a sensible local goal, and withhold it on carts that did. Per-country numbers are in [thresholds per country](/blog/different-free-shipping-thresholds-per-country-shopify.html).

## A clean setup

1. Pick one gift whose landed cost you can afford at the threshold. In the example, $2.10 against the margin on the extra toner.
2. Publish the bar before auto-add, so the pouch is expected.
3. Remove the gift when the cart falls back under the line.
4. Read it on a phone. If the gift is louder than checkout, shrink the line.

Install [Goalify](https://apps.shopify.com/goalify?src=Ninety9Blog) when the product should enter the cart because the cart earned it.

### FAQ

**Can Shopify automatically add a product to the cart without an app?**

A link can add a specific variant when someone clicks it. Shopify does not, on its own, watch the cart and drop in a gift at a spend threshold. That rule is an app.

**How do I auto-add a free gift on Shopify?**

Set the condition and the gift in Goalify. The gift is added when the cart qualifies, and the progress bar shows the distance left before it does.

**Will an auto-added product surprise the shopper?**

It will if the cart never said it was coming. Put the remaining amount on the bar, name the gift, and show the line at $0 when it lands.

**Can I auto-add a paid upsell?**

Do not. A paid line that appears without a click is how chargebacks start. Paid adds stay on a button, in the [Addy](/apps/addy.html) drawer or a [Monet](/apps/monet.html) popup.

**Does the gift need its own discount code?**

No. Goalify resolves the gift with the cart rule. A code the shopper must type is a second step, and most people will not take it.

**Should the rule use the subtotal or the item count?**

Use the subtotal when the gift depends on order size. Use the item count when the offer is buy any three. A code can drop the money under the line while the units stay put, so test both.

**What if the gift variant is sold out?**

Choose a variant you can pack. A sold-out gift should not appear as a broken $0 line. Hide it until stock returns, and say so on the bar if the gift was the whole promise.

## How to Customize the Shopify Order Status Page

URL: https://ninety9.dev/blog/how-to-customize-shopify-order-status-page.html
Published: 2026-10-13 (updated 2026-10-13)
Category: Retention & Post-Purchase · App: Reviso: Order editing & Upsell
Reading time: 7 minutes

What you can honestly change on the Shopify order status page, and how customers edit the order from their account without a custom status-page theme.

Customising the Shopify order status page usually starts as a request for a logo and ends as a request for a private website that happens to show a tracking number. Shopify will give you the first. The second breaks the next time checkout changes. The change that matters is narrower: the customer can see the order, and they can fix it before you ship it.

## What Shopify will let you change

Checkout branding covers the mark, the colours, and the language around the order. Use it. A status page that does not look like the store is a phishing rehearsal.

You can add a short message. Tracking, the carrier, and what happens next belong there. A paragraph of merchandise does not. They already paid.

Additional scripts on the thank-you and status pages are the old way to inject a widget. Treat them as temporary. If your "customisation" is a script tag, you do not have a customisation. You have a dependency.

## What is worth adding

A link to change the order, shown only while it is unfulfilled. [Reviso](https://apps.shopify.com/reviso-order-editor?src=Ninety9Blog) is that screen, inside customer accounts, with Shopify's own layout. The customer can update the address, the shipping method, variants, quantities and items. They can start a return or an exchange later, including store credit. If they hit cancel, you can offer a discount or a gift once, then let them cancel.

Reviso does not restyle the status page, does not validate the address against a postal database, does not update a 3PL, and does not run in POS. Claiming it is an order-status theme editor would be false. The status page stays Shopify's. The account is where the edit happens. If they open that screen, Reviso can also show a recommendation beside the edit. That is still the account, not a second theme for the status page. Point to it.

Copy for that link: "Need to change this order? You can, until it ships." Not "manage your experience".

## What to leave off the page

| Idea | Leave it off because |
| --- | --- |
| A second theme for the status page | It will not survive checkout changes |
| An email popup | They already bought. You have the email |
| A thank-you upsell dressed up as status content | That is a new order. Build it as one, or skip it |
| Three apps competing for the same block | The tracking number loses |
| A cancel button with no edit beside it | You will refund orders that needed a new size |

[Monet](/apps/monet.html) stays off this page. It is for add to cart, checkout starting, and exit. The order status page is after the sale.

## A status page that is finished

1. Branding matches the store.
2. Tracking is the loudest thing on the page.
3. One sentence links to the customer-account edit while the order is open.
4. The link disappears after fulfilment, and the return path replaces it.
5. You place a test order and open the status page on a phone.

## What the page is for

The order status page answers one question: where is the thing I paid for? Shopify's checkout branding can put your mark and your colours on it. A short message can say when you ship, or what "in transit" means for your carrier. Tracking, when you have a number, is the largest text on the page after the status itself.

People land here from the confirmation email, often on a phone, often once. They are not shopping. A paragraph of new products, a countdown, and an email form are three ways to hide the tracking number. The page can be plain. Plain is the customisation that survives.

Thank-you and order status are both after payment. Treat additional scripts on either one as temporary. Checkout changes have been retiring that style of injection. If the only way a customer can fix a size is a script on that page, you will lose the fix when the script stops running. [Reviso](https://apps.shopify.com/reviso-order-editor?src=Ninety9Blog) lives in customer accounts instead. The status page keeps a sentence that points there, while the order is unfulfilled: "Need to change this order? You can, until it ships."

## What they can do after they follow the link

In the account, before fulfilment, they can change the address, the shipping method, the variant, the quantity, and the items. The screen looks like Shopify. After fulfilment, that link should disappear and the return, exchange, or store credit path is what you show. Reviso includes those. It does not restyle the status page, validate addresses against a postal database, update a 3PL, or run in POS.

If they open the edit, Reviso can show a recommendation beside it. That is an add they choose on a page they opened in order to change something. It is still the account. It is not a second theme, and it is not a popup [Monet](/apps/monet.html) should fire. Monet is for add to cart, the start of checkout, and exit.

Country and tag rules belong on the edit, not on a different status-page design per market. One market can allow address changes. Another can send those orders to staff. The status page stays one layout.

## Copy you can paste, and copy you should not

While the order is open:

- "Need a different size or address? Change this order until it ships."
- "We have not packed this yet. You can update it from your account."

After it has shipped:

- "This one is on the way. If it is not right when it arrives, start a return from your account."

Skip "manage your experience", "unlock rewards", and any line that implies the payment method can be swapped. A new card is a refund and a new order. Say that only if they ask. The limits are in [what you can't edit](/blog/what-you-cant-edit-in-a-shopify-order.html).

## Check the page the way a customer opens it

1. Place an order on a phone.
2. Open the status link from the email, not from the admin.
3. Confirm the logo is yours, the status is readable, and tracking is present if you added a number.
4. Tap the change link. Land in the account. Change a harmless field on a test order.
5. Fulfil the order. Reload the status page. The change link is gone. The return path is there.
6. Open the same URL in a desktop window only after the phone looks right. Most of these visits are mobile.

A from-scratch status page will not get through that list after the next checkout change. Branding, one sentence, and an account that can actually edit the order will.

The email link and the status-page link should land in the same account screen. If the email goes to the status page and the status page goes to the account, that is two taps, which is acceptable. If the email goes to a third app with its own login, people reply to the email instead. Reviso uses the customer account they already have. Keep the path that short. Open both links on a phone after the test order. They should show the same edit controls while the order is unfulfilled, and neither should show them after you mark it fulfilled. If the status page still offers a change after fulfilment, the sentence is hardcoded. Remove it and let the account decide. A hardcoded sentence cannot know that you bought the label an hour ago. The account can, because fulfilment is what closes the edit.

Install [Reviso](https://apps.shopify.com/reviso-order-editor?src=Ninety9Blog). The status page stays Shopify's. The account is where the order gets fixed.

### FAQ

**Can I fully redesign the Shopify order status page?**

Not as a theme you control line by line. Checkout branding covers logo, colours and a short message. A from-scratch status page is a different product, and Reviso is not it.

**How do customers change an order from the status page?**

Send them to the order in their customer account. Reviso shows the edits there, in the native Shopify layout, until the order is fulfilled.

**Will custom code on the thank-you page survive?**

Do not depend on it. Checkout extensibility has been replacing additional scripts. An app that lives in customer accounts still works when that script disappears.

**Can I add upsells to the order status page?**

A new offer after they have paid is a second order. It is not an edit. Monet does not run on the thank-you page. Do not paste a popup there to force it.

**What should the status page actually say?**

Where the order is, the tracking link if you have one, and a plain link to change the order if it has not shipped. One link. Not three apps.

**Is the thank-you page the same as the status page?**

They are both after payment. Branding can cover both. The edit still lives in the customer account. A script on the thank-you page is a weak place to hang that link.

**Can the status page show a different block per country?**

Keep the status page plain for everyone. Country rules belong on the edit itself, in Reviso, so a market can allow an address change and another market cannot.

## How to Let Customers Cancel Their Own Shopify Order

URL: https://ninety9.dev/blog/how-to-let-customers-cancel-shopify-order.html
Published: 2026-10-13 (updated 2026-10-13)
Category: Retention & Post-Purchase · App: Reviso: Order editing & Upsell
Reading time: 7 minutes

How to let a customer cancel their own Shopify order, and how to offer an edit, a discount or a gift before the order is lost.

Letting a customer cancel their own Shopify order is easy to do badly. A red button in the confirmation email creates refunds. A lot of those tickets, when you read them, are "wrong size", "wrong address", or "I added one too many". The order did not need to die. It needed an edit, and the only tool they had was cancel.

## Offer the edit first

[Reviso](https://apps.shopify.com/reviso-order-editor?src=Ninety9Blog) lives in customer accounts and looks like Shopify. Before fulfilment, the customer can change the address, the shipping method, the variant, the quantity, or a line. That is the cancel you never see. The window closes when the order is fulfilled. Do not promise edits after the carrier has the parcel.

Point the "wrong address?" line in the confirmation email at the order in their account, not at a reply-to inbox. The setup pattern is the same one in [reducing cancellations](/blog/reduce-order-cancellations.html).

## Then offer a reason to stay

When they do choose cancel, Reviso can deflect with a discount or a gift. One offer. A customer who still wants to cancel should be able to finish. A second and third offer is how a save flow becomes a trap, and traps become chargebacks.

Use the deflection for orders you can still change. A gift on an order that ships in an hour is a gift you will also have to refund. Rules by country, tag and order exist so a wholesale account or a made-to-order SKU does not get the same button as a shelf product.

## What the button must not be

Reviso does not validate addresses against a postal API, does not talk to a 3PL, and does not run in POS. A self-serve cancel on an in-store order, or on a shipment a warehouse system has already accepted, will disagree with the floor. Exclude those orders. Staff keep them.

It is free. One public review. The missing review count is not a reason to keep cancellation as an email thread. Email is where the order sits until someone on your team is awake.

## A short policy

1. Edits are open until fulfilment.
2. Cancel shows one save offer, then completes.
3. Fulfilled orders use returns, exchanges or store credit.
4. Tags you exclude never see the button.
5. You place one test order and cancel it yourself before the link goes in the email.

## What the tickets actually are

Read the last month of "cancel" mail before you design the button. Most stores find the same four piles. The shares will be yours. The categories are the useful part.

| They wrote | What they needed | What a bare cancel button does |
| --- | --- | --- |
| Wrong apartment, wrong postcode | An address edit | Refunds a good order |
| Wrong size or colour | A variant edit | Refunds a good order |
| Ordered two, wanted one | A quantity edit | Refunds the whole order, or starts a partial-refund thread |
| Changed their mind | A cancel | The one case the button is for |

[Reviso](https://apps.shopify.com/reviso-order-editor?src=Ninety9Blog) puts the first three in customer accounts, looking like Shopify, until fulfilment. The fourth still needs a path. Cancellation deflection offers one discount or one gift when they start that path. One. If they decline, the cancel finishes. A second and third offer is how a save flow becomes something people dispute.

## A save offer with a number on it

Example, not a promotion you should copy blindly. The order is $64 of skincare. Shipping has not been bought yet. A return later would cost you the outbound label, the return label, and the restock. Call that $14 all-in, if that is what your invoices say. A 10% discount to keep the order is $6.40. That is cheaper than the return, and it is one sentence: "Stay, and we will take 10% off this order." A gift that costs you $3 to land is the other sentence. Offer one of them.

Do not offer the save on an order that leaves the building in an hour. You will discount it and still be unable to stop the shipment. Rules by country, tag and order exist so a wholesale account, a made-to-order SKU, or a tagged "already picked" order never sees the button. Staff keep those.

The confirmation email should point at the order in their account. One line: "Need to change this before it ships? You can, from your account." A reply-to inbox is where the order waits until someone is awake. The wider pattern is in [reducing cancellations](/blog/reduce-order-cancellations.html). The policy language, if you need to publish one, belongs next to [writing a cancellation policy](/blog/writing-a-cancellation-policy.html).

## The test order

1. Place an order with a real gateway you can refund. A bogust payment test is not enough if you are about to promise refunds.
2. Open the customer account. Change the address. Change the size. Change the quantity. Each one should stick in the admin.
3. Start a cancel. Confirm you see one offer.
4. Decline it. Confirm the order cancels and the refund follows the gateway's rules.
5. Place a second order, mark it fulfilled, and confirm the edit and the cancel button are gone. The return or exchange path, including store credit, is what remains.
6. Place a third order with the tag you meant to exclude. The button should be absent.

Reviso does not validate the address against a postal API, does not update a 3PL, and does not run in POS. A typed address can still be wrong. A warehouse that already has the order will not hear about the cancel from this app. Exclude those orders before the link goes in the email. It is free. One public review. The review count is not a reason to leave cancellation as an overnight email.

Install [Reviso](https://apps.shopify.com/reviso-order-editor?src=Ninety9Blog). If they wanted a new size, the edit screen is the feature. What they still cannot change is in [what you can't edit in a Shopify order](/blog/what-you-cant-edit-in-a-shopify-order.html).

## Quantity, not a refund of the whole order

"I wanted one, I ordered two" should not become a cancellation. Before fulfilment, the quantity edit is the whole fix. The order stays. You pack one. You refund the difference through the edit, following the gateway, instead of refunding $64 because $32 of it was a duplicate.

Write the confirmation email so that case is obvious. "Wrong quantity or size? Change the order in your account until it ships." People use the word cancel because it is the only verb on the page. Give them the verb edit, and keep cancel one step further in.

If they still cancel, the save offer is a single number you can explain. On a $64 order, 10% is $6.40. Compare that with what a return costs you in labels. If the save is cheaper than the return, offer it once. If they are cancelling because the item is wrong for them, a discount will not fix the product. Let the cancel finish. A gift on an order they do not want is a second thing to refund.

## Timing

The useful window is after payment and before anyone picks the order. That can be hours, or it can be twenty minutes if you ship same day. Publish the cutoff you can keep. "Until it ships" is honest. "For 24 hours" is a lie if the label is bought at 4pm. Reviso closes the edit and the cancel-save path at fulfilment. If a 3PL or the warehouse has the order earlier than Shopify's fulfilled state, exclude it with a tag at that moment. The app will not call the warehouse.

Partial shipments are staff work. If one line has already gone and another has not, do not promise a self-serve edit of "the order". Test that state before you write the email, and if the screen cannot represent it cleanly, send those customers to a person.

Place the test order on the gateway you take real money with. Cancel it yourself. Read the refund. Then put the link in the email.

### FAQ

**Can Shopify customers cancel an order themselves?**

Not in a useful way on a stock store. They email you, or they dispute the charge. Reviso adds a self-serve cancel in customer accounts, with a chance to save the order first.

**Should every cancel be saved?**

No. A customer who wants out should get out. The save offer is one step, a discount or a gift, not a maze. If they still cancel, cancel.

**What if the order has shipped?**

Self-serve edits stop at fulfilment. Use the return or exchange path, including store credit, instead of pretending the order is still editable.

**Can I block cancels from some countries or tags?**

Yes. Reviso rules can depend on country, customer tag and the order. Wholesale or already-picked orders can stay with staff.

**Does this refund the payment automatically?**

The cancel has to follow Shopify's refund rules for that payment. Reviso does not invent a refund the gateway will not make. Test one order on a real gateway before you announce the button.

**What should the save offer be worth?**

One discount or one gift you can afford on that order. A 10% save on a $60 order is $6. If that is less than the cost of a return, it is a reasonable offer. A second offer after they decline is a trap.

**When should the button disappear?**

When the order is fulfilled, and earlier if a warehouse or a 3PL has already accepted it. Reviso closes edits at fulfilment and does not push changes to a 3PL.

## How to Set Up Free Shipping Over $X on Shopify

URL: https://ninety9.dev/blog/how-to-set-up-free-shipping-over-x-shopify.html
Published: 2026-10-13 (updated 2026-10-13)
Category: Shipping & Fulfilment · App: Goalify: Free Shipping Bar PRO
Reading time: 7 minutes

How to offer free shipping over a spend threshold on Shopify, set the discount, and show the remaining amount in the cart.

Free shipping over $X is two objects that must agree. Shopify needs a shipping discount with a minimum spend. The shopper needs to see how far they are from that minimum while they can still add something. Stores create the discount, skip the bar, and then say the threshold "doesn't work".

## Create the discount

In Shopify admin, create a free shipping discount. Set the minimum purchase to the number you mean, in the store currency. Choose which shipping rates it applies to. A discount that excludes express, while the bar says "free shipping", will charge express and look like a bug.

Leave the combination rules open to product discounts if a bundle should still get free shipping. Closed combinations are why a qualified cart still pays. That matrix is in [discount stacking](/blog/shopify-discount-stacking-explained.html).

## Pick the number

$X should sit just above orders that already clear it. If your average order is $42, a $40 threshold gives shipping away. A $120 threshold on a $42 store is a joke. Use the percentile method in [the threshold calculator](/blog/free-shipping-threshold-calculator.html), then round it. $75 is a goal. $73.18 is a spreadsheet.

Check the margin. The profit on the extra items has to cover the shipping label. If it does not, raise the threshold or shrink the zone. Do not paper over a loss with a prettier bar.

## Show the remaining amount

[Goalify](https://apps.shopify.com/goalify?src=Ninety9Blog) is the progress bar. Set the same threshold as the discount. Put the bar at the top of the cart, and on the product page if you want the goal visible before the first add. Copy should be the remaining amount, not the policy. "Spend $75 for free shipping" is a rule. "$18 away from free shipping" is a task. The wording is in [free shipping bar copy](/blog/free-shipping-bar-copy.html).

You can stack a second goal, a discount or a gift, once the shipping goal is honest. Do that second, not on day one. Setup is a template, the number, and the placement. Free under 10 orders a month, then $3.99, $7.99 and $11.99.

If the cart itself is a slide-out, put the bar in the [Addy](/apps/addy.html) drawer so the remaining amount sits on the line items.

## Check it once

Add products until you cross $X. Shipping at checkout should be free on the rate you chose. Remove a unit. Shipping should return, and the bar should show a remaining amount again. Test one other country before you call it done.

## A small order book, and the number it implies

These twelve orders are an example, so you can see the arithmetic. Replace them with yours. Amounts are merchandise, before shipping.

$22, $31, $36, $41, $44, $48, $52, $55, $61, $70, $74, $96.

Sorted, the middle is between $48 and $52. A threshold at $40 sits under most of these orders. You would give shipping away and change little. A threshold at $120 sits above every order but one. Nobody is one item away. The band to test is just above the orders that already clear a lower bar. Here, $75 sits above the 9th order ($70) and within reach of someone at $55 who adds one $20 item. The method, including the percentile cut, is in [the threshold calculator](/blog/free-shipping-threshold-calculator.html). Round $75. Do not publish $74.20.

## Does the extra item pay for the label?

Say the label you absorb is $6.50, and the item people add to cross $75 contributes $11 of margin after its own cost. You are ahead by $4.50 on the orders that stretch, and you are giving away $6.50 on the orders that would have paid $75 anyway. Count those. In the list above, two orders are already at or above $75 ($74 is close, $96 is over). If a large share of orders already clear the line, you are funding labels, not changing behaviour. Raise the threshold, or accept the cost as a stated policy and stop expecting the bar to "lift" anything.

If the extra item only contributes $4 and the label is $9, the threshold loses money every time it works. Shrink the zone, raise $X, or drop free shipping on the heavy products. A prettier bar does not repair that. When free shipping is the wrong offer entirely, the cases are in [when not to offer free shipping](/blog/when-not-to-offer-free-shipping.html).

## The discount and the bar have to share one figure

Create the free shipping discount in Shopify admin. Minimum purchase, the same number as the bar, in the store currency. Choose the rates. Standard can be free. Express can stay paid. The bar copy has to name that. "Free standard shipping over $75" matches a discount that excludes express. "Free shipping" does not.

Product discounts need to be allowed to combine, or a bundle that qualifies will still pay for the label. The combination checkboxes are in [discount stacking](/blog/shopify-discount-stacking-explained.html).

Then watch a code change the cart. Merchandise is $78, so the bar completes. A 15% code brings the purchase to $66.30. If Shopify's minimum uses the amount after discounts, shipping comes back and the bar must show about $9 remaining. If your bar stays completed, it is reading the pre-code subtotal. Fix the bar. Do not "fix" it by telling support the customer was wrong.

[Goalify](https://apps.shopify.com/goalify?src=Ninety9Blog) draws the remaining amount. Set the same threshold as the discount. Put the bar at the top of the cart, and on the product page if the goal should be visible before the first add. "$18 away from free shipping" is the sentence. "Spend $75 for free shipping" is the policy, and it can live once, in the footer. Wording examples are in [free shipping bar copy](/blog/free-shipping-bar-copy.html). Placement is in [where to put a progress bar](/blog/where-to-put-a-progress-bar.html).

A second goal, a discount or a gift, waits until the shipping goal matches checkout for a week. Stacking rewards is the product. Doing it on day one, before the first number is honest, means two promises to debug. Free under 10 orders a month, then $3.99, $7.99 and $11.99. Country-specific numbers are on the paid plans.

If the cart is a slide-out, the remaining amount belongs on the line items in the [Addy](/apps/addy.html) drawer. Two bars, one in the header and one in the drawer, will drift the first time you edit only one of them. One bar.

## Four orders before you announce it

| Order | What you are proving |
| --- | --- |
| $60 of products | Shipping charges. The bar shows the gap |
| Just over $75 | Standard shipping is free. Express, if excluded, still charges |
| Just over $75, then remove a unit | Shipping returns. The bar shows a gap again |
| Just over $75, then a code that drops you under | The bar and checkout still agree |

Test one other country the same day. A domestic $75 on an export cart is how international checkout bounces. That setup is in [thresholds per country](/blog/different-free-shipping-thresholds-per-country-shopify.html).

One more distinction before you publish. A minimum purchase amount is money. A minimum quantity is units. Free shipping over $75 is the amount. "Free shipping on 3 items" is a different offer and a different bar. If you run both, say which one the customer is chasing. Goalify can use cart value or item count. Pick the one the discount in Shopify actually checks, then match the sentence to it. Three cheap items can clear a unit rule and miss a money rule. One expensive item does the opposite. The bar should describe the rule checkout will enforce. Write that rule in the discount title you will recognise in admin, so the next edit does not create a second minimum by accident.

Install [Goalify](https://apps.shopify.com/goalify?src=Ninety9Blog).

### FAQ

**How do I set free shipping over a certain amount in Shopify?**

Create a free shipping discount with a minimum purchase amount. Then show that amount in the cart as a progress bar. Goalify is the bar, and it can be the goal the discount has to match.

**What should $X be?**

Above your current average, often in the band where one extra item can close it, and only if the margin on that extra item covers the shipping you absorb. The method is in [how to set the threshold](/blog/free-shipping-threshold-calculator.html).

**The bar says free shipping but checkout still charges. Why?**

The bar's number and the shipping discount's minimum do not match, or the discount does not apply to that shipping rate or country. Make them the same number.

**Can I do this without an app?**

You can create the discount in Shopify. You cannot show a live remaining amount in the cart with that discount alone. The bar is the app.

**Should every country see the same $X?**

No. A domestic threshold on an export cart stalls checkout. Per-country setup is in [different free shipping thresholds per country](/blog/different-free-shipping-thresholds-per-country-shopify.html).

**What if a discount code drops the cart back under $X?**

Shipping should turn back on, and the bar should show a remaining amount again. If the bar stays complete, it is reading the subtotal before the code.

**Which shipping rate should the discount cover?**

The rate you named in the bar. Free standard shipping can exclude express. A bar that says free shipping, while express still charges, will read as a broken promise.

## Pre-Purchase Upsells on Shopify: What They Are and 10 Examples

URL: https://ninety9.dev/blog/pre-purchase-upsells-shopify.html
Published: 2026-10-13 (updated 2026-10-13)
Category: Bundles & Upsells · App: Monet • AI Popup Bundle Addons
Reading time: 7 minutes

What a pre-purchase upsell is on Shopify, where it belongs, and ten examples that ask before checkout instead of on the thank-you page.

A pre-purchase upsell is an extra item offered before the shopper pays. It joins the order already in progress. A thank-you page offer is a new order, after the decision, and it is a different product. Stores buy a "pre-purchase" app and then fire a popup on a timer while the shopper is still reading. That is an interruption. It is not an upsell.

[Monet](https://apps.shopify.com/monet?src=Ninety9Blog) waits for three moments: add to cart, checkout starting, and a shopper about to leave. The offer can be a bundle, a cross-sell or an add-on, with a real discount, including a quantity break or a buy-one-get-one when the deadline or the rule is real. Recommendations can come from orders you have already taken. Country and customer tag decide who sees it. It is free. It does not collect email addresses. It does not A/B test. It does not sit on the thank-you page.

These ten are examples of offers, not case studies and not a stack.

| Example | When it asks | Why it is pre-purchase |
| --- | --- | --- |
| Case for the device just added | Add to cart | The accessory only makes sense with that device |
| Travel size of the moisturiser | Add to cart | A smaller second unit, not a second routine |
| Refill pouch beside the bottle | Add to cart | Same product, cheaper format, one decision |
| Two-pack at a quantity break | Add to cart | The second unit is the offer, before they leave the product |
| Gift wrap or a pouch | Add to cart | A fee they can see, not a line that appears later |
| The matching shade | Checkout starts | They are committed, the pair is still optional |
| A sample set of the scent they bought | Checkout starts | One small add, then payment |
| Free-shipping closer | The cart is short of the bar | One product that crosses the line, not a grid |
| A cheaper variant when they are leaving | Exit | A real alternative, not a coupon for the same item |
| The add-on they removed | Exit | One chance to put it back, then stop |

## What the popup is allowed to say

One product. A price that matches checkout, because the discount is a Shopify discount. A reason that names the item already in the cart. If you need a countdown, the end time has to be a real end. A timer that resets is the failure mode in [exit-intent popups](/blog/exit-intent-popups-shopify.html). Monet can show a countdown when the deadline is real.

Do not also pop the same product inside the cart drawer. [Addy](/apps/addy.html) is the in-cart version of one complement. Pick the surface. Product-page sets and quantity breaks still belong to [Addly](/apps/addly.html), not to a popup that restates the product page.

## What to skip

A browse timer. An email capture. A second popup after they declined. A thank-you upsell described as pre-purchase. A discount so deep the first item was the bait. None of those are in the ten.

## Three of the ten, with prices

These are setups, not case studies. Swap in your SKUs and your cost.

**The case, after add to cart.** The phone is $499. The case is $29 and costs you $6. The popup names the phone they just added and offers the case once. There is no percentage off, because $29 next to $499 does not need a costume. If you do discount it, 10% is $2.90, and you still have margin. Forty percent off, to $17.40, is a different product. Do that only if the case is how you acquire the customer, and write the margin down first. [Monet](https://apps.shopify.com/monet?src=Ninety9Blog) shows one product at this moment. Country or a customer tag can hide it from wholesale.

**The refill, after add to cart.** The bottle is $24. The pouch is $16, and the pouch is the same formula. The popup says the pouch is the format that lasts longer per dollar. This offer belongs here because the shopper just chose the product. It does not belong on a collection page they are still browsing. A quantity break on the bottle itself is a product-page job for [Addly](/apps/addly.html). The popup should not restate a tier the page already showed.

**The closer, when the cart is short.** The bar says $14 to free shipping. One product in the catalogue costs $16 and is something this shopper has a reason to want, because other orders with the same first item included it. The popup offers that one product. It does not offer a grid. If nothing in the catalogue honestly closes a $14 gap, do not invent a $4 sample with free shipping attached. Move the threshold, or leave the gap on the bar. Goalify can name a product from your orders when the cart is short of a goal. Use one of those systems, not both, for the same gap.

## Which moment gets which offer

| Moment | The shopper has | A fair ask | A poor ask |
| --- | --- | --- | --- |
| Add to cart | Chosen a product | The thing that completes it | A newsletter, a timer, a second unrelated brand |
| Checkout starting | Decided to pay | One small add, then payment | A bundle that forces them to rethink the order |
| Exit | Signalled they are leaving | One cheaper format, once | A coupon that trains them to leave |
| Still reading | Not chosen | Nothing | Any popup |

Exit on a phone is a weak signal. Prefer add to cart there. The detail is in [exit-intent popups](/blog/exit-intent-popups-shopify.html). Checkout offers are easy to overbuild. One line, one button, a way to dismiss that is as obvious as the add. [Checkout initiation](/blog/checkout-initiation-popups.html) is the narrower version of that moment.

A countdown belongs only when the end is real. A code that dies at midnight can show a clock. A clock that resets on refresh is a false statement about the offer. Monet can show the clock when the deadline is real. It will not collect an email address in the same popup. The email ask is how the upsell becomes a form.

## Pick one, then count it

Choose the example that matches the product you already sell most. Ship that popup. For a week, count three things from your own orders.

- Popups shown.
- Adds from the popup.
- Orders where the original item and the extra item both stayed through payment.

You do not need an industry attach rate to judge it. If the extra item is removed before payment, the discount was the bait or the product was wrong. If almost nobody adds, the moment is wrong, or the product page already made the offer. Turn the popup off before you add a second one.

Do not also show that SKU in the [Addy](/apps/addy.html) drawer. One surface. Recommendations can come from purchase patterns, and you can still pin a SKU for a campaign. Pin the campaign. Let the pattern fill the days the campaign is off.

Wholesale and staff tags should not see the consumer offer. Monet can target by customer tag and by country. A 10% case offer on a wholesale account that already has contract pricing is how the price list leaks into a popup. Exclude the tag. Check it with a tagged customer, not only with a fresh incognito session. A fresh session only proves the offer works for a stranger. Log in as the tagged wholesale customer and add the same product. The popup should stay closed. If it opens, the tag rule is not the rule you think it is.

Install [Monet](https://apps.shopify.com/monet?src=Ninety9Blog) for the ask. The popup comparison is in [best Shopify upsell popup apps](/blog/best-shopify-upsell-popup-apps-2026.html).

### FAQ

**What is a pre-purchase upsell?**

An offer shown before the shopper pays, so the extra item joins the order they are already placing. Post-purchase and thank-you offers are a later order.

**Where should it appear?**

After add to cart, when checkout starts, or on exit. Not on a timer while someone is still reading the product page.

**Is a cart drawer upsell pre-purchase?**

Yes. The shopper has not paid. [Addy](/apps/addy.html) shows that one inside the drawer. Monet shows it as a popup at add, checkout or exit. Use one surface for one product, not both for the same product.

**Can I capture an email in the same popup?**

Not in Monet. The popup is the offer. An email field is a second ask, and it is how the upsell starts losing to a newsletter.

**Do the ten examples need ten popups?**

No. Pick the one that matches the product already in the cart. The list is a menu, not a campaign plan.

**How deep should the discount be?**

Deep enough to notice, shallow enough that the extra unit still has margin. A worked pair is in the article. Use your cost, not a benchmark.

**What if they close the popup?**

They said no. A second popup in the same session repeats the ask. Leave the offer in the cart if it still belongs there, or let them go.

## Shopify Cart Drawer Not Updating? 8 Fixes

URL: https://ninety9.dev/blog/shopify-cart-drawer-not-updating.html
Published: 2026-10-13 (updated 2026-10-13)
Category: Cart & Checkout · App: Addy: AI Cart Drawer & Bundles
Reading time: 7 minutes

Eight fixes when a Shopify cart drawer does not update after add to cart, on Dawn and other themes. One drawer, one embed, one cart icon.

When a Shopify cart drawer does not update, the item usually did get added. The drawer you are looking at is not the one that changed. Eight checks, in the order that fixes the most stores.

## 1. The app embed is off on the live theme

Online Store, Themes. The published theme, not the duplicate named "Dawn copy". Customize, App embeds, the cart app, on, Save. An embed enabled in preview and never saved does not exist for customers.

## 2. Dawn's drawer and the app drawer are both on

Dawn opens its own drawer on add to cart. The app opens another. One of them has the new line. The other still shows the previous cart. Disable the theme drawer, or stop the product form from calling it. One button, one drawer. The install steps are in [how to add a slide cart on Dawn](/blog/how-to-add-a-slide-cart-shopify-dawn.html).

## 3. The header icon opens a different cart

The add button opens the drawer. The bag icon goes to `/cart`, or to the theme drawer. After an add, the shopper opens the icon and sees an old page. Point the icon at the same drawer.

## 4. A second cart app is still installed

Upcart, a page-builder cart, and the theme drawer can all listen for "add". Uninstall or disable every cart embed except the one you intend to keep. Two listeners are a race. The loser looks like a cart that did not update.

## 5. You tested inside the theme editor

The editor preview is not the storefront. Open the published URL in a normal window, add a product, and watch the drawer. If it works there, the editor was the stale view.

## 6. The product form does a full reload

Some older product forms submit the cart and reload. The drawer script never hears the add, because the page went away. On Online Store 2.0 themes the product form should add with Ajax and let the drawer refresh. If a custom product form or a page builder replaced it, the drawer is waiting for an event that never fires. Put the buy button back on the theme form, or on a form the cart app is built to hear.

## 7. Quantity buttons inside the drawer are the theme's

You added the item. The drawer opened. Plus and minus still call Dawn's quantity input, so the line on screen does not move. The drawer that owns the lines has to own the quantity controls. A hybrid, theme buttons inside an app drawer, goes stale on the first tap.

## 8. Markets and currency

A cart rendered in the wrong currency looks "wrong" rather than empty. The threshold and the line prices should follow the shopper. [Addy](https://apps.shopify.com/addy-cart-drawer?src=Ninety9Blog) renders prices in the presentment currency and can run a different cart per market. A single drawer with the home-market currency on a French storefront is the bug people describe as "not updating" after they switch country.

## Prove the add happened

Before you edit a file, separate "the cart rejected the item" from "the drawer is showing an old picture".

Add the product. Do not close the drawer. Open the store in a second tab and go to `/cart`. If the line is on that page, Shopify has the item. The drawer that still looks empty is a view. Fixes 1 through 4 are about which view you are holding. If `/cart` is also empty, the product form never reached the cart. That is fix 6, or the variant was unavailable.

Then change the quantity in the drawer only. Refresh `/cart`. If the quantity on the page moved and the drawer did not, the plus button is the theme's. That is fix 7.

Write down which theme is published. Online Store, Themes, the one with the live label. A "Dawn copy" you customised last Tuesday is a different theme. App embeds do not copy themselves across themes when you hit publish on the wrong one.

## A map from what you see

| What you see | What it usually is |
| --- | --- |
| Drawer opens empty, `/cart` has the line | A second drawer, or the icon bound to the theme cart |
| Nothing opens, and the page reloads | The product form is a full submit |
| Desktop updates, the phone does not | A different header icon at the mobile breakpoint |
| Quantity taps do nothing | Theme buttons inside the app drawer |
| Prices look like the home currency abroad | One cart, no market rule |
| It fails only inside the theme editor | Preview. Check the published URL |
| It failed the morning after a theme update | A Liquid edit was overwritten. The embed is the install that survives |
| Two drawers flash | Two apps, or Dawn plus the app |

Page-builder product forms are a frequent version of the reload. The button looks like the theme button and posts the cart the old way. Put the buy button back on the theme's product form, or on a form the cart app is built to hear. Quick-add buttons on collection cards are a second form. Test those too. A drawer that works on the product page and fails on the collection is that second form.

## After it updates, keep it to one cart

Leave one embed. [Addy](https://apps.shopify.com/addy-cart-drawer?src=Ninety9Blog) is that embed: a drafted slide cart, no Liquid left behind if you remove it, A/B tests if you want two versions without forking the theme. It is free to install. It loads when the cart opens.

If you are coming off a builder and a theme drawer at the same time, disable both, then enable Addy, then save, then test. The order matters. Enabling the new embed first gives you three listeners for an afternoon. The migration notes are in [Upcart alternatives](/blog/upcart-alternatives-cart-drawers.html). The Dawn steps are in [how to add a slide cart](/blog/how-to-add-a-slide-cart-shopify-dawn.html).

## A ten-minute regression

Run this after any theme publish or any new app that mentions "cart".

1. Add from the product page.
2. Add from a collection, if you use quick add.
3. Change quantity. Remove the line.
4. Open the header icon on desktop and at a narrow width.
5. Switch country, if you have more than one.
6. Confirm `/cart` and the drawer show the same lines if both exist. Preferably only the drawer exists.

If the drawer updates and the offer is wrong, that is merchandising. One upsell. The list is in [in-cart upsells that convert](/blog/in-cart-upsells-that-convert.html).

Install [Addy](https://apps.shopify.com/addy-cart-drawer?src=Ninety9Blog) once the live theme has a single embed.

## The cart count, the note, and the discount field

Three small pieces get blamed on "the drawer" and belong to a different render.

The header bubble can update on a delay, or not at all, while the drawer is right. Click the bubble. If it opens a different surface from the add button, rebind the bubble. A correct drawer with a wrong bubble still trains people to think the add failed.

The order note and the discount field have to be the app's, if the app owns the drawer. A theme note box pasted into the drawer will submit into nothing, and the shopper will tell you the note "didn't save". That is the same hybrid as the theme's quantity buttons.

A discount code that applies on `/cart` and fails in the drawer is a field that never called the cart. Use the drawer field. Apply a real code. The total should match checkout. If the code is refused because of combination rules, that is a discount setup, not a stale drawer. The distinction is in [discount stacking](/blog/shopify-discount-stacking-explained.html).

After any of those fixes, repeat the ten-minute list. One pass on desktop, one at a narrow width, one from a collection quick-add. The drawer is done when those three agree with `/cart`.

### FAQ

**Why does my Shopify cart drawer show the old quantity?**

The drawer on screen is not the cart that received the add. A second app, Dawn's own drawer, or the cart icon opening /cart while the button opens a drawer will all look like a stale cart.

**I edited the theme and the cart still fails. Why?**

You may have edited an unpublished theme. Online Store, Themes, the published one, Customize, then the app embed. Save.

**Do I need to clear the cache?**

After the embed is right, yes, once, on the device that failed. Cache is the last fix. It is not the reason two drawers exist.

**The drawer updates on desktop and not on mobile. Why?**

The mobile header often uses a different cart icon. Point that icon at the same drawer. Test at 390px, not only in the theme editor.

**Should I edit cart.js?**

No. Theme updates replace it, and a patched cart.js is how the drawer breaks again next month. Use one app embed.

**The cart count in the header is wrong, but the drawer is right. What is that?**

The bubble is a separate render. Open the drawer, then the bag icon. If they disagree, the icon is still bound to the theme cart.

**How do I prove the item was added?**

Open /cart in a second tab after you add. If the line is there, the add worked and the drawer you are staring at is the stale one.

## Shopify Discount Stacking Explained: What Combines, What Doesn't

URL: https://ninety9.dev/blog/shopify-discount-stacking-explained.html
Published: 2026-10-13 (updated 2026-10-13)
Category: Bundles & Upsells · App: Addly: AI Bundles app & Upsell
Reading time: 7 minutes

How Shopify discount combinations work for product, order and shipping discounts, and how to keep a bundle and a code from fighting.

Discount stacking on Shopify is not a theme setting. Each discount, automatic or code, has combination rules: it may combine with product discounts, order discounts, and shipping discounts. If either side refuses the pair, checkout keeps one of them. The shopper sees a code that "does not work" and assumes the store is broken.

## The three stacks

| You are discounting | Examples | Usually combines with |
| --- | --- | --- |
| A product | Bundle price, quantity break, 15% off one SKU | Shipping, sometimes an order discount. Rarely a second product discount on the same unit |
| The order | 10% off the cart, a threshold reward | Product discounts and shipping, if both sides allow it |
| Shipping | Free shipping over a threshold | Product and order discounts, if the shipping discount allows it |

Read that as a permission, not a promise. Both discounts must allow the combination. A bundle that allows order discounts, and a code that does not allow product discounts, still will not stack.

## What you actually want to stack

A set or a quantity break should stack with free shipping. The shopper who built the bundle is the shopper the bar is trying to move. Blocking shipping on a bundled cart makes the [progress bar](/blog/free-shipping-progress-bar-guide.html) a lie.

A set should not stack with a second product discount on the same units. The bundle price is already the offer. A 20% code on top is a second offer you did not merchandise. Turn that combination off unless finance has already priced it. The check is in [bundle discount maths](/blog/bundle-discount-margin-maths.html).

An order-level reward, such as 10% off once the cart clears a goal, can sit on top of a product bundle if both discounts allow it. That is a real stack. Write it down. "Bundle price, then 10% off the order, then free shipping" is a sentence finance can audit. Three apps that each think they own the line is not.

## Where the price should be created

[Addly](https://apps.shopify.com/addly?src=Ninety9Blog) creates the bundle, the pair, the quantity break and the add-on as Shopify discounts. The product page and the checkout read the same discount. You still set Combinations in Shopify. You do not debug a private price the theme cannot see.

If a code and a bundle fight, do not add a third app to "fix stacking". Open the two discounts. Decide which combination is allowed. Publish that, and only that.

[Goalify](/apps/goalify.html) can own the shipping threshold and an order-level reward. Let it combine with the product discount. A second free-shipping discount, built by hand with the opposite combination checkbox, will fight the first one at checkout.

## A cart you can audit

Fill this with your own cost. The prices are an example.

Two products list at $40 and $30, so $70 together. The set is 15% off those units, which is $10.50. The pair is $59.50. That 15% is a product discount, created as a Shopify discount by [Addly](https://apps.shopify.com/addly?src=Ninety9Blog).

An order code of 10%, allowed to combine with product discounts, applies to what is left. Ten percent of $59.50 is $5.95. The merchandise total is $53.55. Free shipping then depends on the shipping discount allowing both product and order discounts, and on whether $53.55 still clears the minimum. If the minimum is $75 on the purchase amount after discounts, this cart does not get free shipping. The bar has to say so. A bar that still says "free shipping unlocked" is using a different subtotal from checkout.

If the 10% code is not allowed to combine with product discounts, checkout keeps one discount. The shopper sees a code that "does not work". That is the checkbox, on one side or the other. Both discounts have to allow the pair.

## The stack you probably do not want

The same $70 pair, plus a sitewide 20% that also targets those units. Twenty percent of $70 is $14. Together with the $10.50 bundle, that is $24.50 off $70, before any order code. If the two units cost you $32 to land, you have $13.50 left, and you have not paid the label yet.

That is why two product discounts on the same unit are usually a mistake. The bundle price was already the offer. The sitewide sale can be a choice the shopper gets instead, or it can exclude the bundled SKUs. Run the exclusion in the discount, where checkout can see it. A theme that hides the sale badge and still lets the code through has only hidden the problem.

A quantity break is the same shape. One unit at $28, two at $48. The break is already $4 off each unit. A further 20% on the $48 makes $38.40. Write that down before you turn Combinations on. The worksheet for the margin is in [bundle discount maths](/blog/bundle-discount-margin-maths.html).

## Automatic discounts and codes

An automatic discount applies when the cart qualifies. A code applies when someone types it. They still use the same combination rules. Automatic does not mean "stacks with everything". A code does not mean "the customer earned a second cut".

Shopify will not apply a pair that either discount refuses. You do not need a third app to referee that. You need a written sentence:

| Stack you intend | Product discount | Order discount | Shipping discount |
| --- | --- | --- | --- |
| Bundle, and free shipping if the cart still qualifies | The set | Off | On, if the minimum is still met |
| Bundle, then 10% off the order, then shipping | The set | The 10% code | On, if the minimum is still met |
| A sitewide sale instead of the bundle | One of them, not both on the same units | Whatever the sale already includes | On, if you still want shipping |
| Quantity break only | The break | Off for that SKU | On |

Read checkout after each row. The product page, the cart, and the payment step should show the same merchandise total. [Addly](https://apps.shopify.com/addly?src=Ninety9Blog) is how the bundle, the pair, the quantity break and the add-on become that Shopify discount. A widget that paints a lower price on the product page, while checkout uses a different engine, is the drift people call a stacking bug.

## What changed when the code landed

A common support ticket is "they had free shipping in the cart and paid for shipping". Walk the cart in order.

1. Merchandise before discounts.
2. Product discounts, including the bundle.
3. Order discounts, if they are allowed.
4. The purchase amount Shopify uses for the shipping minimum.
5. The shipping discount, if that amount still qualifies and the rate is one the discount covers.

Express excluded from the discount will still charge, even when the bar says shipping is free. Name the rate. "Free standard shipping over $75" is a sentence. "Free shipping" is a hope.

Place four test orders before a sale: no code, code that should stack, code that should not, and a code that pulls the cart back under the shipping minimum. Save the four totals. If a later app changes a combination checkbox, you will see which total moved.

Write the four totals on the sale calendar, next to the end date of the promotion. When the sale ends, the sitewide discount has to come off the combinations you allowed for the week. A forgotten automatic discount is how Tuesday still has Friday's stack. [Addly](https://apps.shopify.com/addly?src=Ninety9Blog) can stay. The temporary code should not. Open one order from the sale in admin and read the discount lines. The names there should match the sentence you wrote down. If a third name appears, an app you forgot is still discounting the unit.

Install [Addly](https://apps.shopify.com/addly?src=Ninety9Blog) when the bundle should be a Shopify discount you can combine on purpose.

### FAQ

**Why won't my Shopify discounts stack?**

Open each discount and check Combinations. A code that is not allowed to combine with product discounts will lose to the bundle, or the bundle will lose to the code. Both outcomes look like a bug. Both are the checkbox.

**Can a customer use a code on top of a bundle?**

Only if the bundle discount and the code are both allowed to combine. If you do not want a second cut, turn the combination off. Do not hope the theme will block it.

**Do free shipping discounts stack with product discounts?**

They can. Shipping is its own combination. A product bundle and a free-shipping threshold should be allowed to combine, or the bar will promise shipping the checkout then removes.

**Should quantity breaks stack with a sitewide sale?**

Usually no. A 20% sale plus a quantity break on the same unit is a deeper cut than the margin planned. Leave the sale and the break as a choice, not a stack.

**What if two apps both discount the same line?**

Pick one app to own the price. Addly is that app for sets, pairs and quantity breaks. A second discount engine on the same SKU is the drift.

**Which discount does checkout keep when they cannot combine?**

One of them. The shopper experiences that as a code that failed. Open Combinations on both discounts and decide the pair on purpose, then place a test order.

**Does a code change whether the cart still qualifies for free shipping?**

It can. A 15% code on a $78 cart can drop the purchase under a $75 shipping minimum. Test the code and the threshold together.

## Upcart Alternatives: 5 Cart Drawers Compared

URL: https://ninety9.dev/blog/upcart-alternatives-cart-drawers.html
Published: 2026-10-13 (updated 2026-10-13)
Category: Cart & Checkout · App: Addy: AI Cart Drawer & Bundles
Reading time: 7 minutes

Five Shopify cart drawers compared as Upcart alternatives. Addy, Kaching, Amp and iCart against a builder that opens on an empty canvas.

Upcart is a cart builder. The drawer is a canvas. Rewards, upsells and gifts are blocks you place, including templates in HTML, CSS and JSX. That is a real product if someone on the team wants to write the cart. It is a delay if the brief is "the drawer should be selling on Friday".

These five Shopify cart drawers are the comparison. Addy is first because the alternative to an empty canvas is a cart that is already drafted.

Ratings below are from the Shopify App Store as of October 2026. Upcart is 4.7 from 959 reviews, Built for Shopify, with a free plan and paid plans after it.

| Cart | Rating | From | First afternoon |
| --- | --- | --- | --- |
| [Addy](https://apps.shopify.com/addy-cart-drawer?src=Ninety9Blog) | 5.0 / 2 | Free to install | A drafted cart, then you edit |
| [Kaching](https://apps.shopify.com/cart-upsell) | 5.0 / 1,487 | Free plan, then paid | You assemble the suite |
| [Amp](https://apps.shopify.com/slide-cart) | 5.0 / 772 | Free plan, then about $29.99 | You fill a template |
| [iCart](https://apps.shopify.com/icart) | 4.7 / 451 | First 100 orders free | You assemble a drawer, a page, a popup and a mini cart |
| [Upcart](https://apps.shopify.com/upcart-cart-builder) | 4.7 / 959 | Free plan, then paid | You build it, including JSX |

## Addy

Addy reads the catalogue and the brand and proposes the slide cart: upsell, volume offer, gift, shipping protection, progress bar, delivery date. More than 40 blocks, markets and customer tags, custom HTML and CSS, A/B tests. It loads when the cart opens. Two public reviews. Not listed as Built for Shopify. The draft is the difference, not the review count.

The head-to-head is in [Addy vs Upcart](/blog/addy-vs-upcart.html).

## Kaching

A high-review suite drawer. Timer, bars, gift wrap, protection, translations. You still place the blocks. Useful if you already live in that suite. A simpler assembly job than a drafted cart.

## Amp

Industry templates, markets, gifts, a progress bar. The paid plan is a flat monthly fee once you leave the free plan. A template is a look. It does not know your catalogue until you fill it.

## iCart

Drawer, full cart page, popup and mini cart. First 100 orders free, then paid. Most stores replacing Upcart needed one slide cart, not three extra surfaces.

## Upcart

Keep it if the cart is a front-end project and someone will maintain the JSX. Leave it if the drawer is a merchandising surface. Custom code does not make the upsell more relevant. It makes the upsell wait.

## What "a drafted cart" means on a real catalogue

Take a store that sells a $32 serum, a $28 cleanser and a $18 toner. On a builder, the first afternoon is a column, a colour picker, and a decision about which block goes where. On Addy, the first afternoon is a proposed drawer: the lines, one complement, the distance to the shipping goal, a delivery window, checkout. You delete what you do not want. You do not invent the cart from a blank file.

The complement should be one product. For the serum, that is the cleanser if orders already contain both. The drawer adds it in one click, without a reload. A second row, the toner, can wait. A timer on that row can wait forever unless the end time is a real end.

Markets are the next edit, not the first. A French cart can show euros and a different threshold. A wholesale tag can hide the upsell. Addy can change the whole cart or one block by market and by tag. Prices follow the shopper's currency. A/B tests compare two versions of that drawer without a theme branch. Two public reviews. Not listed as Built for Shopify. The draft is still the thing the canvas does not do.

## A migration that fits in a day

JSX templates do not come with you. That is the point of leaving a builder. Write down what the live Upcart drawer actually does, in one column, before you uninstall it.

| Already live, and worth keeping | Leave it behind |
| --- | --- |
| The shipping goal and the remaining amount | A custom animation nobody can maintain |
| One upsell people add | A grid of four recommendations |
| Gift wrap, if it has a price and a yes | A pre-ticked protection fee |
| The delivery sentence, if you can keep it | A countdown that resets |
| Translations you already paid a human to write | A second empty cart "for later" |

Then:

1. Install Addy. Leave Upcart's embed on until the new drawer has been previewed, then turn Upcart off before you turn Addy on for customers. Never both.
2. Open the published theme, not a copy. App embeds. Addy on. Save.
3. Rebuild the row in the table. Progress, lines, one upsell, delivery, checkout.
4. Add the serum on the live URL. The new drawer opens. Dawn's drawer does not.
5. Place one order. The paid total matches the drawer.
6. Uninstall Upcart once that order looks right. An unused embed still listens for "add".

The head-to-head on the builder itself is in [Addy vs Upcart](/blog/addy-vs-upcart.html). The install on Dawn is in [how to add a slide cart](/blog/how-to-add-a-slide-cart-shopify-dawn.html).

## How to read the other four

Kaching is a suite with a long review record, 5.0 from 1,487 reviews, Built for Shopify. You still place the blocks: timer, bars, gift wrap, protection, translations. If your team already lives in that suite, the clicks are familiar. The first cart is still an assembly.

Amp is templates. Industry looks, markets, gifts, a progress bar. The paid plan is a flat monthly fee once you leave the free plan, about $29.99. A template is a skin. It learns your catalogue when you fill it.

iCart is a drawer plus a full cart page, a popup and a mini cart. First 100 orders free, then paid. A store leaving Upcart usually needed one slide cart. Three extra surfaces are three more places for the count to go stale.

Upcart, 4.7 from 959 reviews, Built for Shopify, stays the right product when a developer will own the JSX after the sale. It is the wrong product when the brief is a drawer that sells this week. HTML and CSS in Addy cover the cases where a block is not enough, without making the whole cart a front-end project.

## Which drawer, by the job in front of you

A two-person brand with a sale on Friday needs the drafted cart. An agency with a front-end developer and a design system in JSX can stay. A brand that already assembled Kaching and only wants a familiar admin can stay there, and should still run one drawer. A brand that wants a template and will pay a flat fee can look at Amp, knowing the template is empty of their products until they fill it.

| If you are leaving Upcart because | Install |
| --- | --- |
| The canvas is still empty | Addy |
| You want a suite you already know how to click through | Kaching |
| You want an industry template and will pay a flat fee | Amp |
| You want a drawer plus a full cart page | iCart |
| You want to keep writing JSX | Stay on Upcart |

Turn one embed off before you turn the next on. Two drawers on Dawn is the bug in [cart drawer not updating](/blog/shopify-cart-drawer-not-updating.html).

Review count is a poor way to finish this choice. Upcart's 959 reviews and Kaching's 1,487 describe how many stores installed a builder or a suite. They do not describe whether your serum has a complement in the drawer on Friday. Addy's two reviews are a true limit of a new listing. The draft is still the difference on the first afternoon.

Install [Addy](https://apps.shopify.com/addy-cart-drawer?src=Ninety9Blog).

### FAQ

**What is the best Upcart alternative in 2026?**

Addy. The first cart is drafted from your products and your brand. You still get custom HTML and CSS, markets, tags and A/B tests, without opening on a blank canvas.

**Is Upcart a bad cart drawer?**

It is a builder. Stores that enjoy JSX get a custom cart. Stores that needed the drawer live before a sale get a canvas. Those are different jobs.

**Can I migrate without editing the theme?**

Yes. Disable Upcart's embed, enable Addy's, save, and place one test order. Do not leave both embeds on.

**Which alternative is closest to a visual builder?**

Amp sells industry templates. You still fill them. Kaching is a suite you assemble. Neither drafts the cart from the catalogue the way Addy does.

**Do I need a developer to leave Upcart?**

Not for Addy. Custom JSX does not come with you, which is the point. Rebuild the one upsell and the bar. Leave the rest of the canvas behind.

**What should I rebuild on the first day?**

The progress line, the line items, one complement, a delivery window, and checkout. Leave gift wrap, a timer, and a second upsell until that drawer has taken a real order.

**Can both drawers stay installed while I decide?**

No. Disable one embed before you enable the next. Two listeners on add to cart is a drawer that looks stale.

## What You Can't Edit in a Shopify Order (and Workarounds)

URL: https://ninety9.dev/blog/what-you-cant-edit-in-a-shopify-order.html
Published: 2026-10-13 (updated 2026-10-13)
Category: Retention & Post-Purchase · App: Reviso: Order editing & Upsell
Reading time: 8 minutes

What Shopify will not let you change on an order, what a customer can change before fulfilment, and the honest workarounds after that.

Shopify lets a merchant edit some unfulfilled orders in the admin. Customers cannot, unless you give them a screen. The screen still cannot do everything a support agent wishes it could. Here is the split, and the workaround that is actually available.

## Before fulfilment

[Reviso](https://apps.shopify.com/reviso-order-editor?src=Ninety9Blog) lets the customer change, in their account:

- Shipping address
- Shipping method
- Variant, such as a size or a colour
- Quantity
- Which items are in the order

It looks like Shopify, because a custom "order portal" is where people lose trust. Rules can limit this by country, customer tag or the order itself. A made-to-order line can be excluded while a shelf SKU stays editable.

If they are trying to cancel instead of edit, the cancel path can offer a discount or a gift first. That flow is in [how to let customers cancel](/blog/how-to-let-customers-cancel-shopify-order.html).

## What stays locked

| They want | What is possible |
| --- | --- |
| A different size, unfulfilled | Edit the variant |
| A new ship-to address, unfulfilled | Edit the address. No postal API checks it |
| A cheaper shipping method, unfulfilled | Change the method |
| A different card | Refund and a new order. Not an edit |
| A change after the label exists | Return, exchange, or store credit |
| An edit inside a 3PL that already has the order | Staff, in the warehouse system. Reviso does not push to a 3PL |
| A POS sale from the counter | Not this app |

Reviso is free. It does not add address validation, a warehouse integration, or a POS mode. Those are not on a later plan. They are out of scope. Shipping the feature anyway would mean an address field that claims to be verified and is not.

## After fulfilment

The workaround is a returns flow: send it back, exchange it, or take store credit. Reviso includes that, still in the customer account, still in Shopify's own visual language. It is slower than an edit. It is the operation the carrier allows.

Do not keep the edit button visible on a fulfilled order with a note that says "contact us". Hide it. A button that errors is how people open a dispute.

## What staff still do

Orders with a tag you excluded. Anything a 3PL has accepted. POS. Payments. The odd address that is deliverable only because a human noticed the missing apartment number. Self-serve is for the typo and the size. It is not a plan to empty the support queue of judgement.

## Where the order is, and what that allows

An order moves through states. The edit window is the early ones. After the label exists, you are in returns, even if the customer still says "edit".

| State | Address, size, quantity | Payment method | Practical path |
| --- | --- | --- | --- |
| Paid, not picked | [Reviso](https://apps.shopify.com/reviso-order-editor?src=Ninety9Blog) can open those edits | Locked. A new card is a refund and a new order | Self-serve |
| Picked, or already sent to a 3PL | Locked, even if Shopify still says unfulfilled | Locked | Staff, in the warehouse system |
| Label bought, in transit | Locked | Locked | Return, exchange, or store credit when it comes back |
| Delivered | Locked | Locked | The returns window you actually publish |

Reviso closes the edit options at fulfilment. It does not update a third-party warehouse, so a picked order can be "unfulfilled" in Shopify and already gone from your point of view. Tag those orders out of self-serve. There is no postal-validation API behind the address field. A customer can correct an apartment number and can also type a street that does not exist. Staff still read the odd one. Shipping the feature as if it verified addresses would be false.

Payment is the request that sounds like an edit and is not one. "Can I use the other card?" means refund this payment and take a new one. Say that in the reply. A button labelled "change payment" that errors is how the dispute starts.

## A typo versus a new order

Example. The order is a medium shirt, $48, address missing the apartment. Before fulfilment they can set the apartment and switch to large, in their account, in Shopify's own layout. The order number stays. You pack the large.

The same shirt, already handed to the carrier. They want large. The edit button should be gone. The return or the exchange is the path, including store credit if that is the policy you run. Reviso includes that tooling: windows, reasons, exchanges, store credit, items you will not take back. It is slower than an edit. It is what the carrier allows. An exchange they start themselves is still cheaper than a ticket that sits until Monday.

If they are cancelling rather than editing, one discount or one gift can be offered first. The flow is in [how to let customers cancel](/blog/how-to-let-customers-cancel-shopify-order.html). After they decline, the cancel completes. Do not keep an edit button on a fulfilled order with a note that says "contact us". Hide it.

Adding a product during the edit is a choice they make on that screen. Reviso can show a recommendation there, from the order and from what they viewed. It is an add with a yes. It is not a line that lands because they opened the page. It also does not replace the offer you should have made before they paid. That work sits on the product page and in the cart.

## What to tell support to stop doing

Write the split on a card.

- Unfulfilled, not in the warehouse: send them the account link.
- In the warehouse or fulfilled: start a return or tell them the cutoff has passed.
- Payment, POS, excluded tags: staff only.
- Address that looks impossible: staff, because nothing in the app will call a postal database.

The comparison with other editors is in [best Shopify order editing apps](/blog/best-shopify-order-editing-apps-2026.html). The longer operating picture is in the [order editing guide](/blog/shopify-order-editing-guide.html).

Install [Reviso](https://apps.shopify.com/reviso-order-editor?src=Ninety9Blog). The window is before the label. After the label, the workaround is a return.

## Partial shipments

Some orders leave in pieces. One line is fulfilled. Another is still on the shelf. Shopify can show that split. A customer will still say "change my order" and mean the line that has not moved.

Do not assume self-serve can express that cleanly. Reviso closes edits when the order is fulfilled. A half-shipped order is close enough to committed that the safe policy is staff, until you have placed a test order in that exact state and seen a screen you would send a customer to. If the screen offers to edit the line that is already on a truck, hide the button and handle it yourself.

The line still on the shelf can be changed by staff in admin. The line on the truck is a return when it arrives. Say which is which in the reply. "We can still change the unshipped item. The one that left has to come back if it is wrong." That sentence prevents the argument where they think the whole order was editable because one line was.

## Money that is not an edit

A discount they forgot to apply is not an edit of the product. If you choose to honour it, that is a refund of the difference or a new discount on this order, done by staff, with the code checked against your combination rules. It is not a variant change. Reviso will not invent a code that was never entered.

Store credit on a return is a later step. It belongs in the returns settings: the window, the reasons, what you will not take back, and whether credit is the refund. Publish the window you keep. A 30-day promise with a 14-day setting is how "the app is broken" tickets start.

Taxes and duties on an address change can move the total. If they change country before fulfilment, expect the total to change and show them the new total before they confirm. If your rules block cross-border address edits, say so. A blocked edit with no sentence looks like a bug. A blocked edit that says "we only ship this order inside the country it was placed in" is a policy.

The screen is free to install. It is not an address-validation product, a warehouse integration, or a POS tool. Those stay outside it on every plan. Use it for the apartment number and the size. Use people for the rest.

### FAQ

**Can I edit a Shopify order after it ships?**

Not usefully. The carrier has the parcel. Reviso closes edits at fulfilment. Use a return or an exchange.

**Can a customer change the address before it ships?**

Yes, in Reviso, until fulfilment. There is no postal-validation API behind that field. A typed address can still be wrong. Staff still catch the ones that look impossible.

**Can they swap the payment method?**

No. A different card is a new payment, which means a refund and a new order, or a checkout link. Do not describe that as editing the order.

**What about orders already sent to a 3PL?**

Reviso does not update a third-party warehouse. If the warehouse has the order, treat it as committed even if Shopify still says unfulfilled. Exclude those orders from self-serve edits.

**Can in-store POS orders be edited the same way?**

No. Reviso is not a POS tool. Keep counter orders on the process the store already uses.

**The order is unfulfilled in Shopify, but the warehouse already has it. Can they edit?**

Treat it as committed. Reviso does not push a change to a 3PL. Exclude those orders, even if Shopify still says unfulfilled.

**Can they add a product while they edit?**

They can change items before fulfilment. A recommendation on that screen is an add they choose. It is not a line that appears on its own.

## 10 cart drawer upsells that work during BFCM

URL: https://ninety9.dev/blog/cart-drawer-upsells-bfcm.html
Published: 2026-10-11 (updated 2026-10-11)
Category: Cart & Checkout · App: Addy: AI Cart Drawer & Bundles
Reading time: 6 minutes

Ten Shopify cart drawer upsells that hold up on Black Friday and Cyber Monday: what to show, where it sits, and the offers that annoy a committed shopper.

A cart drawer upsell during BFCM is a single add shown after the shopper has put something in the bag, inside the slide-out cart, before they go to checkout. Black Friday shoppers are impatient and already swimming in discounts. The drawer should confirm the bag, show what shipping will cost, and offer one more thing that belongs there.

[Addy](https://apps.shopify.com/addy-cart-drawer?src=ninety9dev) is that drawer. It drafts a cart from the catalogue and the brand, then you edit it: in-cart upsells, volume deals, a shipping goal, gifts, a delivery date, shipping protection, and a different cart by market or customer tag. It is free to install from the [Addy listing](https://apps.shopify.com/addy-cart-drawer?src=ninety9dev). The year-round ranking of offers is [in-cart upsells that convert](/blog/in-cart-upsells-that-convert.html). This list is the ten we would actually leave on for 27 to 30 November.

![Simplified cart drawer with a progress bar, the items, one suggestion and checkout](/assets/img/blog/ui-cart.jpg "Progress, what they already chose, one suggestion, then checkout.")

Read that drawer from top to bottom the way a thumb does. A progress line. The items already chosen. One suggestion. Checkout, large. If you insert a gallery and a second recommendation above checkout, you have built a page inside the drawer, and the reason they opened it was to pay.

The products in the example are placeholders. What you copy is the order of the blocks. One commercial offer plus the progress is the ceiling for Friday.

## 1. The pair they already buy

One product, chosen because it shows up in the same orders as the hero. Not a "you may also like" row of eight. Under the line items, above checkout. If you do not know the pair, use order history rather than a collection guess. [Addly](https://apps.shopify.com/addly?src=ninety9dev) can own the set on the product page. The drawer should not repeat a different pair and make them pick twice.

## 2. The quantity step on the line they just added

"Add one more, save a little" on the consumable already in the cart. Same decision, less doubt. This outperforms a stranger product when the hero is something people use up. Keep the tier honest. If three units are a worse deal than the sitewide code, they will notice.

## 3. The free-shipping gap, with a product that closes it

If they are $16 short, show one product around that price, not a lecture. The threshold itself is [Goalify](https://apps.shopify.com/goalify?src=ninety9dev), and the number should be the one you calculated in [the BFCM free shipping threshold](/blog/free-shipping-threshold-bfcm.html). The drawer is where the bar is believable, because the total is on the same screen.

## 4. The gift rung, once shipping is cleared

Shoppers who already earned free shipping need a next reason. A small gift at a higher spend, revealed when the first goal is met. Not all three goals shouted at a $20 cart. [Holiday gift ideas](/blog/holiday-free-gift-with-purchase-ideas.html) for what the gift should be. Addy can show the progress in the drawer. Goalify can own the rule.

## 5. Gift wrap or a note, as a one-tap add

BFCM is gifts. A wrap, a pouch, or a written note is an add-on people understand immediately. Full price is fine. Do not hide it behind a bundle builder inside the drawer. One line, one price, one tap.

## 6. Shipping protection, stated as a choice

A small protection fee, opted in or out in the drawer, next to the total. It is not an upsell in the romantic sense. It is a yes/no that belongs before checkout so it is not a surprise. Say what it covers in one line. If you cannot say it, do not show the toggle.

## 7. A delivery date beside the total

Gift buyers ask one question. When does it arrive? An estimated window in the drawer answers it while they can still add or remove. If you are quoting a range, quote a range you can hit. A date you invented on Thursday is a chargeback story in December.

## 8. A short announcement, not a second ad

One line: order cutoff for arrival before a holiday date, or the hour the code ends. Not a rotating banner of three campaigns. [FOMO blocks](/blog/fomo-blocks-in-the-cart-drawer.html) work when the fact is real. A fake "12 people are viewing this" on every SKU is how a serious shopper loses trust on the busiest day of the year.

## 9. A different cart for a different market

The US bar, the EU bar, and the wholesale tag should not share one drawer. Addy can run a different cart, or a different block, by market and by customer tag. Use it for the threshold and the delivery promise. Do not use it to hide the price.

## 10. One countdown that matches the real end

If the offer ends Monday night, a countdown to that moment is fair. A countdown that resets is not. Put it on the announcement or the goal, not on every line item. Urgency on top of urgency reads as noise, and noise is what shoppers close.

On a phone, checkout has to be visible without scrolling past a gallery. If the upsell pushes it away, delete the upsell. The [cart drawer guide](/blog/shopify-cart-drawer-complete-guide.html) is the layout. Two blocks, then the button.

Build the drawer before the week of the sale. Place a test order. Open it on a phone. If the pair, the bar and the date are all competing for the top, keep the date and the bar, and move the pair under the lines.

Then watch one ratio on Saturday: upsell adds divided by drawer opens, next to checkout completion. A clever offer that lowers checkout completion is not an upsell. It is a tax on the sale you already had. Take it out the same day.

### FAQ

**What is the best cart drawer upsell for Black Friday?**

The product people already buy with the hero, priced clearly below it, placed under the line items. A quantity step-up on the item in the cart is even easier, because it is the same decision. A grid of eight recommendations is the version that gets ignored.

**How many upsells should a Shopify cart show during BFCM?**

One product offer, plus the shipping or gift progress if you have it. More than that pushes the checkout button down on a phone, which costs more orders than the extra offer can win.

**Should cart upsells be discounted on Black Friday?**

Only if the campaign story needs a reason to add it now. A useful accessory can sit at full price. An extra percent off everything in the drawer trains shoppers to expect the add-on to be cheap all weekend, including people who would have added it anyway.

**Do cart drawer apps slow the store on Black Friday?**

They do if they block the first paint of the product page. A drawer that loads when the cart opens, as a theme app extension, stays out of that path. Still place a test order on a phone on cellular before you scale ads.

**Can different countries see different cart upsells?**

Yes. A domestic cart and an international cart should not share a shipping goal or a delivery promise. Market and customer-tag rules exist so a wholesale buyer does not see the retail gift.

## 10 quantity break examples for Black Friday and Cyber Monday

URL: https://ninety9.dev/blog/quantity-breaks-black-friday-cyber-monday.html
Published: 2026-10-11 (updated 2026-10-11)
Category: Bundles & Upsells · App: Addly: AI Bundles app & Upsell
Reading time: 7 minutes

Ten Shopify quantity break examples for Black Friday and Cyber Monday, with tier maths, variant pricing and the margin check before you publish the ladder.

A quantity break for Black Friday and Cyber Monday is a price ladder on a single Shopify product: pay the campaign price for one, a little less per unit for two, a little less again for three. It raises units per order without requiring a deeper sitewide discount. The single-unit buyer is unharmed. The stock-up buyer has a reason.

[Addly](https://apps.shopify.com/addly?src=ninety9dev) runs these tiers, including on one variant, plus the bundles and add-ons around them. Free plan, then Unlimited and Advanced from $15 / $20/mo by Shopify plan. Install from the [Addly listing](https://apps.shopify.com/addly?src=ninety9dev). The principle, with the margin trap, is [quantity breaks versus volume discounts](/blog/quantity-breaks-vs-volume-discounts.html). The ten below are BFCM examples you can copy the shape of, then replace with your cost.

![Simplified quantity break, one at twenty-four dollars, two at twenty-two each, three at twenty each](/assets/img/blog/ui-qty.jpg "The word each is on the row. Add to cart does not change.")

This is the ladder. One unit at the campaign price. Two and three show a lower price each, and the word each is on the row so nobody thinks $22 is the price of both. Add to cart does not move and does not get a second label.

Two failures show up the moment you compare your own widget to that one. The first is a badge on the regular price, so every tier looks like a deal and none of them do. The second is a third tier so deep that the per-unit profit no longer covers the product, let alone the free-shipping label that three units just triggered. If tier three is the one that loses money, delete tier three before Friday. You can still sell three at the tier-two price.

Black Friday 2026 is 27 November. Cyber Monday is 30 November. Publish one ladder before Friday and leave it up through Monday. Changing the steps on Sunday is how your best customers feel tricked.

## How to read the examples

Each example assumes a campaign price you have already chosen for one unit. The break is extra, on top of that, not instead of a secret second code. Gross profit is illustrative. Yours will differ. If you cannot fill the cost column, you are not ready to publish the tier.

| Example | One unit | Two units each | Three units each | Who it is for |
| --- | --- | --- | --- | --- |
| Daily consumable | $24 | $22 | $20 | Refills, coffee, supplements |
| Gift pair | $48 | $44 | — | "One for you, one to give" stops at two |
| Mini set of a hero | $18 | $16 | $15 | Stocking fillers bought in handfuls |
| Variant you are long on | $36 | $32 | $30 | The size that is not the bestseller |
| Sample flight turned full size | $28 | $25 | — | They tried the mini, two full sizes is the step |

## 1. The refill ladder

$24, $22, $20 on a product people finish. Three is a season, not a warehouse. Stop at three unless your cost still works at four. State "per unit" so nobody thinks $20 is the price of all three.

## 2. Two as a gift, and stop

$48 each for one, $44 each for two, no third tier. The story is a gift, not a stock-up. A third tier on a giftable hero attracts resellers and clutter more than it attracts households.

## 3. Three minis

$18, $16, $15 on a mini candle, soap or sample. The landing is a stocking table. Cap it, because minis are how a cart fills with units that do not cover a heavy label. If three minis still do not clear shipping, the threshold is a separate problem, solved in [the BFCM shipping bar](/blog/free-shipping-threshold-bfcm.html), not by a fourth mini at a loss.

## 4. The size you need to clear

The popular size stays at the campaign price with a gentle break. The size you are long on gets the steeper ladder. Addly can target the discount at a variant. A storewide "any size, buy 3" will do the opposite of what the stockroom needs.

## 5. The pantry step

Food and coffee: one bag, three bags, six bags. Six only if the per-unit profit still pays for the heavier parcel. Write the weight change into the tier decision. A sixth bag that bumps the shipment into a new bracket can wipe the break you thought you earned.

## 6. The beauty routine, same SKU

Cleanser or oil they can decant into a second bathroom. Two is the natural tier. Three is optional and should be priced only if subscription-like stocking up is real for you. Do not invent a subscribe-and-save story inside the quantity widget if you are not running subscriptions. The break is a one-time ladder.

## 7. The team or household pack

Four units as the top tier, named "household" or "team," for socks, bottles, basics. The middle tier is two. Skip a silly one-unit "discount" that is just the normal price with a badge. Badges on the regular price make the real break look fake.

## 8. The colourway that is not the hero colour

Same product, the holiday colour or the quiet colour, with a stronger per-unit break than the core colour. You are buying clearance of a variant without putting the core on a deeper code. When that colour hits your reserve, remove the tier the same day.

## 9. Cyber Monday, same ladder, new hero

Monday does not need new maths. It needs the product you still have. Keep Friday's tiers. Move the widget to the SKU that survived Saturday. A fresh 40% third unit on Monday, after a milder Friday, is how your Friday buyers ask for a refund of the difference.

## 10. The break that stops before free shipping doubles up

If three units always clear free shipping, you are paying the break and the label. That can be fine if you meant to. It is not fine if you did not add the label cost into unit three. Do the addition on paper. [Bundle discount maths](/blog/bundle-discount-margin-maths.html) is the same muscle, applied to a set. Use it on the tier too.

Campaign price minus the tier discount, minus unit cost, minus the shipping share if this tier is what triggers free shipping. If that number is negative, the tier is a promotion you are paying customers to take.

Put the ladder under the price on the product page, not in a popup that hides it. The cart can repeat a one-line reminder. [Addy](https://apps.shopify.com/addy-cart-drawer?src=ninety9dev) is the drawer for that reminder. It should not show a different quantity price than the product page. One ladder, one place that owns it.

On Saturday, split orders of that SKU into one unit, two, and three. You want the share that took a tier, and the gross profit per order at each tier, not a blended average. If almost everyone stayed on one unit, the step is too small to notice or the widget is below the fold. If everyone jumped to three and profit per order fell, the tier is too deep. Change the price, not the story, and leave the new ladder up through Monday.

Through Monday night, then off. A quantity break that quietly becomes the permanent price is a decision for January, made with the attach rate in front of you, not a leftover from the weekend.

### FAQ

**What is a quantity break on Black Friday?**

Tiered pricing on one product. One unit at the campaign price, two units a bit less each, three units a bit less again. The shopper who wants a single gift can still buy one. The shopper who can use more sees a reason to add it now, through Cyber Monday, without you cutting the single-unit price further.

**How deep should Black Friday quantity breaks go?**

Deep enough to notice, shallow enough that unit three still clears your cost plus the shipping you might throw in. On many consumables that is a small step, a few percent, not a half-off third unit. Run the profit per unit at each tier before you publish. If tier three is the one that loses money, delete tier three.

**Should Cyber Monday use a different quantity break than Black Friday?**

Only if the product or the stock position changed. A new ladder on Monday teaches people to wait. Keep the same tiers from Friday through Monday, with a published end. Change the hero if you sold out, not the maths, mid-weekend.

**Can quantity breaks target one variant?**

Yes, and they should when sizes or colours have different stock and different costs. A break on every variant will empty the bestseller and do nothing for the size you are long on. Target the tier at the variant you can afford to multiply.

**Do quantity breaks replace a bundle?**

No. A quantity break is more of the same product. A bundle is a different product, or a mix. Use the break on things people repurchase. Use a [Black Friday bundle](/blog/black-friday-bundle-ideas-shopify.html) when the second item is a companion, not a twin.

## 12 Black Friday bundle ideas for Shopify stores (with examples)

URL: https://ninety9.dev/blog/black-friday-bundle-ideas-shopify.html
Published: 2026-10-11 (updated 2026-10-11)
Category: Bundles & Upsells · App: Addly: AI Bundles app & Upsell
Reading time: 8 minutes

Twelve Black Friday bundle ideas for Shopify, with pricing examples, margin checks and where each offer belongs on the product page.

A Black Friday bundle on Shopify is a set, a pair, or a build-your-own box offered at one clear price during the BFCM weekend. The job is to raise [average order value](/blog/how-to-increase-average-order-value-shopify.html) without turning the product page into a discount warehouse. The shopper already came for a deal. The bundle should make the next unit obvious.

Black Friday 2026 falls on 27 November, with Cyber Monday on 30 November. That is a short window. Build the sets in October, price them from margin, and leave the product page with one offer a thumb can accept.

![Simplified bundle widget with three products, a total and one add button](/assets/img/blog/ui-bundle.jpg "Three products, each price visible, a total, and one button. That is the bundle.")

That card is the offer. Three products, each price visible, a total, and one button. If the set needs a paragraph, it is not ready.

Three details are doing the work. The products should come from orders, so the pair is already a habit at full price. Both prices are on the card, so the deal can be checked in a second. And there is one action. A bundle that asks for three separate adds is three chances to buy only the hero.

[Addly](https://apps.shopify.com/addly?src=ninety9dev) is the Shopify bundles app we use for these: frequently bought together, fixed sets, mix and match, quantity breaks, add-ons and offers drawn from real orders. Free plan, then Unlimited and Advanced from $15 / $20/mo by Shopify plan. Install it from the [Addly listing](https://apps.shopify.com/addly?src=ninety9dev).

## What a Black Friday bundle has to do

The set has to be understandable in one glance on a phone, priced so the added unit still makes money, and placed where it does not block add to cart. If any of those three fail, a bigger percent-off will not save it.

| Bundle | Best for | Discount shape | Watch-out |
| --- | --- | --- | --- |
| Fixed pair | A hero with one proven companion | 10–15% on the added item | Do not discount the hero as well |
| Mix and match | Gifts, shades, flavours | Price break at 3 and 6 units | Too many choices freeze the tap |
| Frequently bought together | Anything with order history | Small set discount, or none | Ignore category guesses |
| Add-on | A cheap completion (wrap, case, sample) | Optional, often full price | Do not make it required |

The rest of this guide is twelve shapes that fit that table. Pick two for the weekend, not twelve.

## 1. The proven pair

Pull the last 90 days of orders. Find the product that most often sits in the same order as the hero, priced well below it. That pair is the Black Friday bundle. A moisturiser and the serum people already add. A device and the case. Offer the pair under the button as one add.

If you do not have the report, [frequently bought together on Shopify](/blog/frequently-bought-together-shopify.html) is the method. Addly can build the set from purchase history instead of a merchandiser's hunch, which matters when the weekend is too short to test ten guesses.

## 2. The gift box they build

Mix and match is the holiday bundle for stores with many small SKUs: shades, flavours, samples, charms. "Choose any 3" at one price. Cap the choice at one collection so the box still looks like a gift, not the whole catalogue.

Show the running total as they add. A shopper who cannot see the price until the end abandons the box and buys the single hero, which is the opposite of a Black Friday bundle.

## 3. The stocking trio

Three low-priced items, preselected, sold as one stocking stuffer. This is a fixed bundle, not a builder. The value is the editing. You did the choosing. Price it so one trio is an easy add next to a larger gift, and do not also run a sitewide 40% code on the same SKUs or the trio stops being a deal.

## 4. Hero plus the refill

Sell the device, the bottle, or the starter with the refill in the same set. The refill is the unit they will need in January. A small discount on the refill only. The hero stays at the campaign price you already planned. This protects margin better than a blanket percent off both.

## 5. Complete the routine

Skincare, coffee gear, hair, pet: three steps, one bundle. Name the steps in the title ("cleanse, treat, seal") so the shopper does not have to open three product pages. Keep it to three. A five-step routine is a regimen they will not assemble on a Friday night phone.

## 6. The add-on under the button

Gift wrap, a travel cap, a pouch, a sample of the adjacent scent. This is a product add-on, not a second bundle widget. One checkbox. Full price is fine when the add-on is obviously useful. A discount on a $6 pouch does less than simply showing it.

## 7. Two of the same, for a gift

"One for you, one to give" is a two-unit fixed bundle of the same hero, lightly discounted versus two singles. It is different from a quantity break, which is a ladder of 1, 2 and 3 on the product itself. Use the bundle when the story is a gift. Use the [quantity break](/blog/quantity-breaks-black-friday-cyber-monday.html) when the story is stocking up.

## 8. Shade or flavour flight

A set of three variants of one product: mini candles, sample perfumes, coffee bags. Mix and match if they should choose, a fixed flight if you want zero decisions. Variant-level pricing matters here. If one shade costs you more, do not let the bundle pretend every shade has the same margin.

## 9. The host set

For food, drink and home: the thing guests use together. Glasses plus a mixer. A throw plus the candle. Price the set under the cost of buying both at the campaign price, by a small gap, not a dramatic one. The host set fails when it includes a product nobody reorders, because then you trained a one-time basket with a permanent discount.

## 10. The travel edit

Minis and travel sizes in one bundle. Landed cost is low, perceived value is high, and the set does not replace the full-size hero if you keep full sizes out of the bundle. This is the same logic as a [free gift with purchase](/blog/free-gift-with-purchase-strategy.html), except the shopper pays, which is kinder to margin during a weekend when everyone expects something free.

## 11. The last-chance colourway

A holiday colour or a limited sleeve, bundled with the core product so the limited piece does not have to carry the page alone. When the limited unit sells out, hide the bundle the same day. A Black Friday bundle that shows an unavailable piece reads as a broken page, and broken pages do not convert at 9pm on 27 November.

## 12. The set that clears free shipping

Build one bundle whose price sits just over your free-shipping threshold. The shopper feels two wins: the set, and shipping. Do not also slash the threshold that weekend or the bundle loses its job. The threshold maths is in [how to set a BFCM free shipping threshold](/blog/free-shipping-threshold-bfcm.html). [Goalify](https://apps.shopify.com/goalify?src=ninety9dev) can show the bar. Addly presents the set.

A 20% sitewide code on a bundle that was already 15% off is an effective discount nobody modelled. Exclude bundles from the deepest code, or the set becomes the worst margin order of the weekend.

![Simplified add-on row for gift wrap under the main product](/assets/img/blog/ui-addon.jpg "Gift wrap is its own line, at its own price, not folded into the set discount.")

The set and the wrap are different decisions. The set is the considered extra. The wrap is a completion, and it can sit at full price. Discounting both, and then letting a sitewide code hit them again, means you no longer know which discount the order used.

A margin check before you publish a pair. Hero at a $48 campaign price, $22 landed. Companion at $18, $6 landed. Fifteen percent off the companion only costs you $2.70, against about $12 of gross profit on that added unit, and the hero stays at the price you already planned. Twenty percent off the whole $66 set gives away $13.20, including on a hero you were going to sell anyway. The louder version often makes less money. Run the same subtraction on your costs. If you cannot fill in landed cost, the bundle is not ready for the ad.

## What to publish, and what to leave off

Publish one bundle on each hero, plus quantity breaks only on the consumables. Put [Addy](https://apps.shopify.com/addy-cart-drawer?src=ninety9dev) behind the set if the second unit should also appear in the cart drawer, and keep the drawer to one extra offer. The [product bundles guide](/blog/shopify-product-bundles-guide.html) covers the types. The [margin maths](/blog/bundle-discount-margin-maths.html) covers the discount you can afford.

If the page is already crowded, run the [CRO Audit for Shopify stores](/cro-audit/) on the hero URL before you add a fourth widget. A bundle under a buried add-to-cart button will not be seen.

### FAQ

**What is a good Black Friday bundle discount on Shopify?**

Start at 10 to 15 percent off the added item, not 30 percent off the whole set. The bundle pays only when the extra margin from the added unit beats the discount given to people who would have bought both anyway. Deepen the discount only if the attach rate is too low after a few days of traffic.

**Should every product have a Black Friday bundle?**

No. Bundle the heroes that already have a natural pair, a refill, or a gift use. A one-off decorative item with no companion should stay a single product. Too many bundles on one product page slows the decision and trains shoppers to hunt for the biggest percent off.

**Where should a Shopify bundle sit on the product page during BFCM?**

Directly under the add-to-cart button, before the long description. The shopper has already chosen the hero. The bundle is a yes to one more thing, not a second storefront above the price.

**Can I run quantity breaks and bundles in the same Black Friday promotion?**

Yes, on different products. A consumable wants a quantity break. A kit wants a fixed bundle or a mix-and-match box. Putting both offers on the same product usually splits the click and lowers the take rate of each.

**How do I know if a Black Friday bundle is cannibalising full-price sales?**

Compare orders that contain both products before the promotion with orders during it. If most bundle buyers already bought the pair at full price, the discount is a gift to existing behaviour. The [bundle discount maths](/blog/bundle-discount-margin-maths.html) walk-through shows the break-even.

## 15 things to fix on your Shopify store before November 27

URL: https://ninety9.dev/blog/shopify-store-fixes-before-black-friday.html
Published: 2026-10-11 (updated 2026-10-11)
Category: CRO & Analytics
Reading time: 6 minutes

Fifteen concrete fixes for a Shopify store before Black Friday on 27 November: the product page, the cart, shipping, inventory and the order after checkout.

27 November 2026 is Black Friday. The stores that hold up are not the ones with the loudest banner. They are the ones where a new visitor on a phone can see the price, choose the variant, add it, understand shipping, and pay, and where a wrong address the next morning does not become a ticket pile.

This is a fix list, in the order we would do it. The first items are the sale. The later items are how the sale stays profitable. Run the [CRO Audit for Shopify stores](/cro-audit/) on the product URL you will advertise. It ranks the public page the way a shopper meets it. Then do the operational checks the audit cannot see, because it does not log into your admin.

![Simplified product buy box with a price, two sizes and one add-to-cart button](/assets/img/blog/ui-pdp.jpg "Price, a short choice, and a button that is the largest control on the buy column.")

Price, a short variant choice, and a button that is the largest control. Anything you add this week has to survive that test on a phone: price visible, choice obvious, button reachable without a scroll past a gallery. A sold-out size that still looks tappable, or a buy button the size of a text link, fails before any offer gets a chance.

## The fifteen, in order

| # | Fix before 27 November | Why it hurts on the day |
| --- | --- | --- |
| 1 | Price and compare-at price are honest and visible | A crossed-out price that is not the real usual price is a trust problem, and a policy one |
| 2 | Variants can be chosen without hunting | Sold-out sizes that still look selectable create rage-clicks |
| 3 | Add to cart stays visible while the page scrolls on mobile | If the button leaves the screen, the offer above it does not matter |
| 4 | The hero you will advertise is in stock, with a buffer | Friday's ad to a sold-out URL is paid traffic to a dead end |
| 5 | Photos load, and the first image matches the variant | A slow first image is the page, as far as a shopper is concerned |
| 6 | One offer on the product page, not five | Bundles, popups and bars stacked on the button hide the buy |
| 7 | The cart opens as a drawer or a clear cart page | A surprise full-page jump loses the momentum of the add |
| 8 | Shipping cost or the threshold is visible in the cart | The number at checkout is the classic abandonment |
| 9 | Delivery expectation is stated, even if it is a range | Gift buyers leave when "when does it arrive?" has no answer |
| 10 | Discount field and campaign code behave as you intend | A code that does not stack the way the ad said creates support |
| 11 | Mobile checkout actually completes in a test order | Place the order yourself, on cellular, not office wifi |
| 12 | International thresholds are not a copy of the domestic bar | One number mis-prices every other country |
| 13 | Customers can fix address, variant and quantity before fulfilment | Otherwise every typo is a ticket or a cancel |
| 14 | Cancellation has a path that is not only "email us" | The cancel wave hits before you are back at the desk |
| 15 | The theme and the app embeds are frozen | A Friday edit is how the cart disappears |

## Buy path before offers

Items 1 to 5 are the product page. If they fail, do not spend the week designing a bundle. [What the CRO audit checks](/blog/what-the-shopify-cro-audit-checks.html) is the same order: can they buy, then did you miss the extra unit. [Product page leaks](/blog/product-page-leaks-cro-audit-finds.html) is the longer list of how those leaks look.

Item 6 is restraint. Pick one product-page offer. A bundle or a quantity break from [Addly](https://apps.shopify.com/addly?src=ninety9dev) is enough. A second widget that repeats it is how the button gets pushed down.

## Cart, shipping, and the promise

![Simplified cart with a progress bar, the items, one suggestion and checkout](/assets/img/blog/ui-cart.jpg "Shipping progress and the total are on the same screen as checkout.")

Items 7 to 10 are the cart. A drawer from [Addy](https://apps.shopify.com/addy-cart-drawer?src=ninety9dev) keeps them on the page, shows the total, and can hold one upsell plus a delivery date. The shipping number is [Goalify](https://apps.shopify.com/goalify?src=ninety9dev): a bar with a real threshold, including a different one per country. How to set that number is [the BFCM free shipping threshold](/blog/free-shipping-threshold-bfcm.html). If the cart is where people drop, the [cart abandonment checklist](/blog/shopify-cart-abandonment-checklist.html) is the next pass after these four.

The failure mode is a cart that tells the truth too late. Shipping appears at checkout. The code fails because it does not stack the way the ad said. The delivery date is a blank. Each of those is a reason to abandon that looks, in analytics, like "checkout drop-off." It is not a payment-provider problem. It is a sentence you did not put next to the total.

Item 11 is non-negotiable. Place a real order on your phone. Use the code from the ad. Reach the thank-you page. If you will not do it, a stranger with a cart full of gifts will do it for you, once.

## After the payment

![Simplified order edits for address, shipping, variant and quantity](/assets/img/blog/ui-edits.jpg "Turn on only the edits the warehouse can still make before the label exists.")

Items 13 and 14 are Saturday. Wrong addresses and wrong sizes are the bulk of BFCM tickets. [Reviso](https://apps.shopify.com/reviso-order-editor?src=ninety9dev) lets the customer change the address, the variant, the quantity or the shipping method before the order ships, and can offer a reason to stay if they hit cancel. The playbook is [order changes and wrong addresses during Black Friday](/blog/black-friday-order-changes-wrong-addresses.html).

Do not enable every module because the grid looks complete. Enable the ones your warehouse can still perform after the label window you actually run. If you ship the same evening, address and variant are the two that pay. Add-product and a long cancellation flow are useful only if someone is still looking at the order before it is picked. A module that fails because the parcel already left teaches the customer that self-serve is decoration.

Item 15 is discipline. Duplicate the theme if you must experiment. Do not publish a half-finished editor at noon on Friday.

Audit the advertised product URL. Place one mobile order. Set the shipping bar. Open self-serve edits. Then stop adding surfaces.

The offers that grow the order, once the page can sell, are collected in [how to raise AOV on Black Friday without a bigger discount](/blog/increase-aov-black-friday-without-bigger-discounts.html).

### FAQ

**What should I fix on my Shopify store before Black Friday?**

Start with whether a shopper can buy on a phone: visible price, selectable variants, a reachable add-to-cart button, and a cart that shows the total and the shipping deal. Then check inventory on the advertised SKU, the free-shipping rule, and how a customer fixes a wrong address after checkout. Offers come after those.

**How late is too late to change a Shopify theme before BFCM?**

A theme change in the last week is how tracking, apps and the cart break on Friday. Freeze the theme. Fix copy, offers and inventory inside the apps and the theme editor. If a change is required, do it on a duplicate theme and buy on a phone before you publish.

**Should I add more apps before Black Friday?**

Add one only if it owns a hole you have already seen, such as no cart drawer, no shipping bar, or no way for customers to edit an order. Do not install a stack of overlapping upsell apps the week of the sale. They fight for the same spot and slow the page.

**Does a CRO audit replace checking out myself?**

No. The [CRO Audit for Shopify stores](/cro-audit/) ranks what a shopper hits on the public product page and cart. You still need to place a real order, on mobile, with the campaign code, through to the thank-you page, and then try to change the address.

**What if my store is password protected while I prepare?**

Finish the public page before you send ads. A password wall is fine for a draft. It is not fine for the URL in the ad. When you are ready, audit the live product URL, not a preview only you can open.

## 5 steps to calculate the right free shipping threshold for BFCM

URL: https://ninety9.dev/blog/free-shipping-threshold-bfcm.html
Published: 2026-10-11 (updated 2026-10-11)
Category: Shipping & Fulfilment · App: Goalify: Free Shipping Bar PRO
Reading time: 6 minutes

Five steps to set a Black Friday and Cyber Monday free shipping threshold on Shopify so the bar raises average order value without giving shipping away.

The right free shipping threshold for BFCM is the cart value where the extra items a shopper adds are worth more than the shipping cost you absorb. It is not the lowest number you can advertise. Black Friday 2026 is 27 November. If the bar is wrong, you will feel it in margin before you feel it in the AOV report.

[Goalify](https://apps.shopify.com/goalify?src=ninety9dev) is the free shipping bar we run for this: cart value or quantity rules, a different threshold per country, a gift or a discount stacked above shipping, and a suggestion when the shopper is short. Free up to 10 orders a month, then $3.99, $7.99 and $11.99. The [Goalify listing](https://apps.shopify.com/goalify?src=ninety9dev) is where it installs. The year-round version of the maths is the [free shipping threshold calculator](/blog/free-shipping-threshold-calculator.html). The steps below are the BFCM cut.

![Simplified free-shipping bar with eighteen dollars still to go and one product that can close it](/assets/img/blog/ui-ship.jpg "A gap, in money, and one product under it. The bar is not a slogan.")

A free-shipping bar is a price anchor with a job. It tells the shopper the next useful number, in the currency they are paying, with one product that can close it. In the example the gap is $18 and the product sits under the bar. If that product does not exist, the sentence "$18 to free shipping" is a dare, not an offer.

The same shape has to be priced per country. Translating the words and keeping a converted dollar threshold is how an easy domestic bar becomes a wall, or a giveaway, somewhere else. Shipping is the first rung, because it is the one a hesitant cart will actually stretch for. A gift sits further out, for people who were going to clear shipping anyway. Showing the top prize first, with a huge number, makes the shipping rung look trivial.

## Step 1. Export the orders you actually get

Use the last complete month, and a previous BFCM weekend if you have one. You want order value, country, and whether shipping was already free. The median matters more than the average. A few large wholesale orders pull the average up and make a threshold look reachable when most shoppers will never see it move.

Ignore drafts, cancelled orders and replacements. They are not baskets someone is trying to grow on Friday.

## Step 2. Write down the shipping you will pay

For each country you will promote, note the label cost you eat when shipping is free, including packaging. A $6 domestic label and a $22 international label cannot share one threshold. If you do not know the number, you cannot know whether the bar makes money. Guessing "about eight dollars" is how Friday night becomes a surprise invoice.

| Input | Why it changes the threshold |
| --- | --- |
| Median order value | The bar has to sit near baskets you really see |
| Label cost you absorb | The extra margin must cover this |
| Typical add-on price | One item has to be able to close the gap |
| Country | Cost and willingness to add are both local |

## Step 3. Place the bar where one item closes it

Start around 15 to 30 percent above the median, then check the gap in money. If the median basket is $54 and you set $78, the shopper needs $24 more. If your add-ons are $12, they need two decisions. That is usually one decision too many on a phone during Black Friday. Either lower the bar toward one add-on, or show a specific product that closes it.

[Goalify](https://apps.shopify.com/goalify?src=ninety9dev) can suggest that product from order history when someone is short. A generic "you are $24 away" with nothing relevant underneath is a slogan. A serum they already buy with the moisturiser is an offer.

## Step 4. Split the threshold by country

Configure the goal per country. Show the shopper's currency. A converted $75 that started as a US rule is not a strategy for everyone else. Domestic can sit closer to the median. Expensive zones should sit higher, or free shipping should not be the offer there at all. [When not to offer free shipping](/blog/when-not-to-offer-free-shipping.html) is the case for a flat rate or a gift instead.

![Simplified two-rung goal, shipping closer than the gift](/assets/img/blog/ui-goals.jpg "The product page and the cart must show the same gap. Shipping first, gift later.")

Put the bar in the cart drawer and, if you use one, on the product page. The two have to agree. A product page that says $12 away and a cart that says $19 away is a broken promise, and Black Friday shoppers notice faster than you can edit the theme. Copy that updates with the amount remaining is in [free shipping bar copy](/blog/free-shipping-bar-copy.html). [Addy](https://apps.shopify.com/addy-cart-drawer?src=ninety9dev) can hold that bar inside the drawer next to the line items, which is where the total is believable.

One more check on the gap. Contribution of the add-on, not its shelf price, has to cover the label. An $18 add-on with $4 of gross profit does not pay a $7 label. An $18 add-on with $11 of gross profit does, barely. The bar is not "set it 20% above the median and hope." It is label cost versus the profit on the one item you expect them to add.

## Step 5. Stack the next reward, then stop

Free shipping is rung one. A gift or a small order discount can be rung two, higher up, for shoppers who were going to clear shipping anyway. Do not show all three numbers at once to a $20 cart. They will anchor on the top number and ignore the first. [Stacked cart goals](/blog/stacked-cart-goals.html) is the sequence. Holiday gift ideas that can sit on rung two are in [free gift with purchase ideas](/blog/holiday-free-gift-with-purchase-ideas.html).

Then stop. Do not also drop a sitewide code that makes every order free to ship by accident. Do not cut the threshold on Saturday because Friday felt quiet. Read the share of orders that finished just below the line. If a pile sits $4 under it, the bar is slightly high. If almost everyone cleared it in the first hour, it was a giveaway.

Median order $54. Domestic label $7. A relevant add-on is $18 with about $8 gross profit. A threshold at $68 asks for one of those add-ons. The $8 covers the $7 label, with a little left over. A threshold at $40 would have paid the label on orders you were already taking. A threshold at $110 needs two add-ons and will mostly be ignored.

Publish the end. "Free shipping over $68 through 30 November" is a promotion. A bar with no end becomes the new permanent policy, and you will spend December arguing with yourself about whether you can put it back.

### FAQ

**How do you calculate a free shipping threshold for Black Friday?**

Export recent orders, find the median order value, add your absorbed shipping cost, and place the threshold roughly 15 to 30 percent above the median so one extra item can clear it. Check that the gross profit on that extra item covers the shipping you will pay. If it does not, raise the threshold or narrow who gets the offer.

**Should the Black Friday free shipping threshold be lower than usual?**

Only if your usual bar is so high that almost nobody was crossing it. Dropping a healthy threshold for the weekend gives free shipping to orders you were already getting. That is a margin cut, not an AOV tactic. A short, honest promotion is a published end date, not a cheaper bar.

**Do I need a different BFCM threshold for each country?**

Yes if you ship internationally. Label cost, zone and delivery promise are different. A single converted currency number still hides a different profit. Set the goal per country, and show it in the shopper's currency.

**Where should the free shipping bar appear during BFCM?**

In the cart, where the total changes, and on the product page if the hero can realistically close the gap. A sticky announcement of a number nobody can reach is noise. The bar has to move when the cart changes.

**What if shoppers add a cheap item just to get free shipping?**

That is the point, as long as the cheap item's margin covers the shipping. If the only thing that clears the bar is a loss-leader, raise the threshold or exclude that SKU from the progress. Then suggest a product that actually closes the gap.

## 6 exit-intent popup offers to save abandoned Black Friday carts

URL: https://ninety9.dev/blog/exit-intent-popups-black-friday.html
Published: 2026-10-11 (updated 2026-10-11)
Category: CRO & Analytics · App: Monet • AI Popup Bundle Addons
Reading time: 6 minutes

Six exit-intent popup offers for abandoned Black Friday carts on Shopify. One product, no second coupon, and the triggers that do not interrupt a shopper who is still buying.

An exit-intent popup on Black Friday is one offer shown when a Shopify shopper is about to leave, or at the moment they add to cart or start checkout. The abandoned cart is still on the table. The popup's only job is to put one relevant product into it. A bigger coupon is the offer that feels productive and usually is not, because the sitewide code is already the reason they came.

[Monet](https://apps.shopify.com/monet?src=ninety9dev) is the popup. It triggers on exit intent, on add to cart, and when checkout starts. Templates cover a bundle, a cross-sell and an add-on. Recommendations can come from purchase patterns. It is free to install from the [Monet listing](https://apps.shopify.com/monet?src=ninety9dev). It does not collect emails. The longer guide is [exit-intent popups on Shopify](/blog/exit-intent-popups-shopify.html). The rule of one is [one offer per popup](/blog/one-offer-popup-rule.html). The add-to-cart trigger, which is a different moment from the exit, is covered in [the add-to-cart upsell slot](/blog/add-to-cart-popup-upsell.html).

![Simplified popup with one product, one price and one add button](/assets/img/blog/ui-popup.jpg "One product. No coupon field, no email box.")

The popup is one product, one price, one button. Not a coupon field. Monet can show it on add to cart, at the start of checkout, or on exit. Those are three moments, not three popups, and a frequency cap should stop the same person meeting all three in one session.

Exit is the weakest of the three on a phone, because you do not get a cursor leaving the window. You get a back gesture, which is late and messy. Add to cart and the start of checkout are the moments when intent is already proven. Use exit for the cart that is full and idle. Do not use a timer on arrival. That is how you interrupt someone who was still going to buy.

## 1. The pair they did not add

If the hero is in the cart and the usual companion is not, the exit offer is that companion. One image, one price, one button. This is the same pair you would have put in the drawer. Use the popup only if they are leaving without it. Do not show it and the drawer offer at the same time or you have asked twice.

## 2. The product that clears free shipping

They are $14 short and heading for the door. The popup is one product near $14 that belongs with the bag, not "here is 10% more off." The threshold is the one from [the BFCM free shipping calculation](/blog/free-shipping-threshold-bfcm.html). [Goalify](https://apps.shopify.com/goalify?src=ninety9dev) knows the gap. Monet presents a single product into it. If you do not have a product that fits the gap, do not invent a discount to fake it.

## 3. A small bundle of what they are already buying

A two-unit or three-unit version of the consumable in the cart, as a bundle template, with a modest break versus buying singles. This is a quantity story told at the exit, for people who almost left with one. The ladder itself should already exist on the product page via [Addly](https://apps.shopify.com/addly?src=ninety9dev). The popup is the reminder, not a different price they cannot find again.

## 4. The add-on they understand in one second

Wrap, a case, a sample. Add-on template. No carousel. Black Friday exit is a second, maybe two. If the offer needs a paragraph, it is a product page, and they have already decided not to be on one.

![Simplified popup offering a pair at one price](/assets/img/blog/ui-pair.jpg "If the offer is a pair, it is still one price and one button.")

## 5. Checkout start, for the shopper who is not leaving yet

Some of the money is not at the exit. It is the moment they tap checkout, still on your page, before the payment step. One last relevant add, then get out of the way. Monet's checkout-initiation trigger is that moment. Do not use it to restate the campaign code. They are already converting.

## 6. A real end time, attached to one of the five

If the pair or the shipping gap is the offer, a countdown to the published end of the weekend is fair. A timer that resets when they refresh is how you teach people that urgency is decoration. [Popup frequency capping](/blog/popup-frequency-capping.html) matters more on Black Friday than on a Tuesday, because the same visitor will open five products in ten minutes. Once per session is enough.

| Offer | Show it when | Do not show it when |
| --- | --- | --- |
| Missing pair | Hero is in the cart, companion is not | They already added the companion |
| Shipping-gap product | Cart is just under the bar | They have cleared shipping |
| Quantity bundle | Only one unit of a consumable is in the bag | They already took the break |
| Add-on | Cart has the hero, no wrap or case | The add-on is out of stock |
| Checkout-start add | They tapped toward checkout | They are still reading the description |

If the ad already says 20% off, the exit popup must not say 30%. You will save a few carts and reprice the whole weekend, including people who were never going to leave.

Desktop and mobile are not the same trigger. Test both. Place a product in the cart, move to leave, and see if the offer matches the bag. If it shows a generic bestseller, turn the recommendation rule tighter or set the product by hand for the heroes in your ads.

The cart itself should already be doing its job before the popup exists. [Cart drawer upsells for BFCM](/blog/cart-drawer-upsells-bfcm.html) is that job. The popup is the last tap, not the first. If the add-to-cart button is already buried, the popup will not save the cart. Run the [CRO Audit for Shopify stores](/cro-audit/) on the hero URL before you add another layer.

### FAQ

**What should a Black Friday exit-intent popup offer?**

The missing pair, the unit that would clear free shipping, or a small bundle of what is already in the cart. Not a new percent-off code if a campaign code is already public. A second code teaches shoppers to head for the door to see if the offer improves.

**Do exit popups work on mobile during BFCM?**

Less precisely than on desktop. Desktop can watch the cursor move toward the browser chrome. Mobile relies on back navigation and similar leave signals, so the same aggressive offer will mistime more often. Use a shorter popup on mobile, still one product, and do not cover the whole screen if they can still reach checkout.

**Should I collect emails in the Black Friday exit popup?**

Not if the goal is to save the cart in front of you. An email field is a second task for someone who is leaving. The offer should add a product they can accept in one tap. Email capture is a different campaign, on a quieter day.

**How many exit popups can I run on Black Friday?**

One at a time, with a frequency cap so the same person does not see it on every page of the session. A popup on the product page, another in the cart, and another at checkout start is three interruptions. Pick the moment that matches the offer.

**Will an exit popup hurt Black Friday conversion rate?**

It should not, if it only appears once they are leaving or after they have added to cart. A popup on a timer, on arrival, will. Measure add-to-cart and orders together the first day. If orders fall and the popup is the only change, turn it off.

## 7 post-purchase upsell ideas to turn BFCM buyers into repeat customers

URL: https://ninety9.dev/blog/post-purchase-upsells-bfcm.html
Published: 2026-10-11 (updated 2026-10-11)
Category: Retention & Post-Purchase · App: Reviso: Order editing & Upsell
Reading time: 6 minutes

Seven post-purchase upsell ideas for Black Friday and Cyber Monday buyers on Shopify, on the order itself before it ships and on the next visit.

A post-purchase upsell for BFCM is a product offered after the Shopify checkout has succeeded, before you pack the order. The buyer has already paid. You are not risking the Black Friday conversion. You are asking if one more thing should go in the same box, or if the next visit should be easier. That is a better path to a repeat customer than a bigger code on the receipt.

[Reviso](https://apps.shopify.com/reviso-order-editor?src=ninety9dev) is the screen we use. Customers can still change the address, the variant and the quantity, and the same page can show AI recommendations and recently viewed products. When they start a cancellation, it can offer a discount or a gift instead. It is free to install from the [Reviso listing](https://apps.shopify.com/reviso-order-editor?src=ninety9dev). The year-round case is [post-purchase upsells](/blog/post-purchase-upsell-strategies.html). [Monet](https://apps.shopify.com/monet?src=ninety9dev) is not that screen. Monet is the popup on a later visit, on add to cart, checkout start, or exit. Both belong in this list. They are not the same moment.

![Simplified adds under a paid order, two products and an add button each](/assets/img/blog/ui-recs.jpg "The order is already paid. Two relevant adds, not a grid.")

Two products the customer already has a reason to know, each with a price and a button. Not a code, and not eight tiles. Start with two, and only while the order is unfulfilled.

The original order is already won. That is why this surface is allowed to be quiet. A louder discount than the one they just used tells them they overpaid five minutes ago. Match the campaign price, or take a small step down, and say that the add closes when the order ships.

## 1. The companion they looked at and did not buy

Recently viewed, filtered to something that pairs with the line they purchased, one card on the edit screen. This is the strongest "repeat" seed you have, because they already spent attention on it. A global bestseller shown to every order is how a candle buyer gets offered a phone case.

## 2. The refill or the second unit, before the box closes

If the hero is a consumable, offer one more unit so they are not reordering in three weeks from a cold start. Ship it now, in this parcel. Price it with a small break or at the campaign price, not at a new low that makes the unit they just bought look overpriced. [Quantity breaks](/blog/quantity-breaks-black-friday-cyber-monday.html) on the product page should match this price. Do not invent a quieter discount backstage.

## 3. The sample that starts the next full size

A travel size of the adjacent product, added to this order. Cheap to pack, obvious as a next purchase. This is the paid cousin of a [holiday free gift](/blog/holiday-free-gift-with-purchase-ideas.html). Charging a little is fine. The point is the second product in their house, not a freebie that trains them to wait for gifts.

## 4. Gift wrap or the spare, while you can still pack it

They bought a gift and skipped the wrap, the pouch, or the extra. The edit screen is the last cheap moment to add it. After the label, that add is a second shipment and a second decision they may not make. [Addy](https://apps.shopify.com/addy-cart-drawer?src=ninety9dev) can offer wrap in the drawer before checkout. Reviso offers it again only if it is still missing. Do not show it twice if they already took it.

## 5. The size swap that becomes a keep, not a cancel

A wrong size is often the start of a cancellation. Let them swap, and if the right size is a different price, settle it on the order. The "upsell" here is sometimes a more expensive variant they actually wanted. Sometimes it is just a save. Both are worth more than a refund and a hope they come back. The operational rules are in [order changes and wrong addresses](/blog/black-friday-order-changes-wrong-addresses.html).

## 6. A reason to keep the order, if they hit cancel

Cancellation deflection is not a classic upsell, and it still protects the relationship you need for a second order. Offer a modest discount on this order or a small gift, once, when they start to cancel. If the reason is a wrong address, show the address edit first. A coupon does not fix a parcel going to last year's apartment.

![Simplified return-visit popup with one product and one add button](/assets/img/blog/ui-popup.jpg "A later session can show one product. The receipt should not.")

## 7. The next visit, with one popup, not on the receipt

Cyber Monday is 30 November. Some Friday buyers come back. When they add to cart again, or when they leave, [Monet](https://apps.shopify.com/monet?src=ninety9dev) can show one product: the pair, or the unit that completes shipping. That is a new session. Do not fire it on the thank-you page over the order summary. They are reading confirmation, not shopping. Frequency-cap it so Friday's buyer is not nagged on every collection they browse on Sunday. The offer shapes are in [exit-intent popups for Black Friday](/blog/exit-intent-popups-black-friday.html).

| Moment | App | Offer | Do not |
| --- | --- | --- | --- |
| Order screen, before the label | Reviso | Companion, refill, sample, wrap | A grid of eight |
| Cancel click | Reviso | Fix the order, or one small save | A bigger code than the campaign |
| Next visit, add to cart or exit | Monet | One product that belongs with Friday's order | A popup on the receipt |

Same-day Black Friday fulfilment makes this a short offer. Say that next to the button. An add that fails because the order already left should never look like a bug.

The original AOV work still happens before payment. [Raising AOV without a bigger discount](/blog/increase-aov-black-friday-without-bigger-discounts.html) is that half. Post-purchase is the half that does not touch conversion rate, which is why it belongs in the plan even when the product page is already full.

### FAQ

**What is a post-purchase upsell on Black Friday?**

An offer shown after the Shopify order is paid, while the shopper is still looking at the order and the warehouse has not shipped it. Adding a unit then ships in the same box. It does not risk the conversion you already have. It is not a popup on the product page, and it is not a second coupon in the confirmation email.

**How do you turn a BFCM buyer into a repeat customer with an upsell?**

Sell them the thing they will need next, or the thing they looked at and did not buy, while the order can still change. A refill, a sample of the adjacent product, or the companion that was in recently viewed. A random bestseller does not create a second purchase habit. It creates a confused line item.

**Can customers add a product after checkout on Shopify?**

Only if an order editing app allows an add before fulfilment. Shopify's admin can do it for staff. The customer needs a screen on the order, with stock checks, that closes when the order ships. After the label, the add becomes a new order.

**Should the post-purchase offer be discounted?**

A small reason to add it now is enough, because the effort is one tap and the shipping is already happening. Match it to the campaign only if you must. A deeper discount than the one they just used feels like they paid too much five minutes ago.

**Where does a popup fit if the order is already placed?**

Not on the confirmation. The next visit is the popup moment. If they come back during Cyber Monday, add to cart or start to leave, one offer can meet them then. That is a new session, not the receipt they are trying to read.

## 7 ways to handle order changes and wrong addresses during Black Friday

URL: https://ninety9.dev/blog/black-friday-order-changes-wrong-addresses.html
Published: 2026-10-11 (updated 2026-10-11)
Category: Retention & Post-Purchase · App: Reviso: Order editing & Upsell
Reading time: 6 minutes

Seven ways to handle Shopify order edits and wrong addresses during Black Friday, before the parcel ships and the ticket queue takes the weekend.

Black Friday order changes are the corrections that show up after payment and before the label: wrong address, wrong size, wrong quantity, a line they meant to add. On a normal week they are a nuisance. On the weekend of 27 November 2026 they arrive together, and a support inbox is the slowest tool you can use.

[Reviso](https://apps.shopify.com/reviso-order-editor?src=ninety9dev) is how we let the customer do it. Address, shipping method, variant, quantity, a cancellation that can be saved with a discount or a gift, and an upsell on that same screen. It is free to install from the [Reviso listing](https://apps.shopify.com/reviso-order-editor?src=ninety9dev). Edits stop when the order is fulfilled. The full map is the [Shopify order editing guide](/blog/shopify-order-editing-guide.html). Address-only detail is in [change the shipping address after checkout](/blog/change-shipping-address-after-checkout.html).

![Simplified switches for address, shipping, variant and quantity on an order](/assets/img/blog/ui-edits.jpg "Four edits worth turning on for Black Friday, if the warehouse can still do them.")

Those four switches are the operating policy. Every one you enable is a change the warehouse must still be able to make. On Black Friday the useful set is usually address, shipping method, variant and quantity. Add-product is an upsell, and it belongs only while the order is still unpicked. A switch that fails because the parcel already left teaches the customer that self-serve is decoration.

## 1. Open the address field, and close it when you buy the label

Self-serve address change is the highest-volume fix. Put it on the order status page and in the account, where people already look. Close it the moment the order is fulfilled, including same-day picks. A customer who edits an address after the label exists has not saved you money. They have created a second shipment.

Say the cutoff in the confirmation: "You can change the address until we pack the order." Vague "contact us soon" produces emails.

## 2. Let them swap the variant without cancelling

Wrong size and wrong colour are the second pile. A swap inside the order keeps the payment and the promise. Cancelling so they can repurchase loses the sale to a sold-out size an hour later, which is common on Black Friday. Allow the swap only while both variants can still ship together. If the new variant is gone, say that. Do not leave a spinner.

## 3. Allow a quantity change before the pick

Someone meant two and bought one, or bought three and only wanted one. Quantity edits are safe when stock is real. They are dangerous when the product is already allocated to another order. Tie the edit to available stock, and do not let a quantity increase oversell the last unit you were saving for a wholesale pick.

## 4. Let them add the forgotten piece into the same order

![Simplified post-purchase adds, two products under a paid order](/assets/img/blog/ui-recs.jpg "Two adds, each with a price and a button. Not a second catalogue.")

A forgotten gift wrap, a second shade, the refill. Adding a line before fulfilment ships it in the same box, which is cheaper than a second order next week. This is also the post-purchase upsell, covered in [BFCM post-purchase upsell ideas](/blog/post-purchase-upsells-bfcm.html). Keep it one suggestion, not a second store.

Two products the customer already has a reason to know. Eight cards on a confirmation is a catalogue. The add has to fail closed once the order is fulfilled. An "Add" button that errors because the label already exists will generate the ticket you were trying to avoid.

## 5. Offer a way to change the shipping method while it still matters

Upgrade to a faster service when the gift has a date. Downgrade when they do not need it. Only show methods you can still buy. If the order is already in a pick wave, hide the control. Reviso can include the shipping method among the fields customers change, with rules for who is allowed.

## 6. Meet the cancellation with a correction first

People hit cancel because the address is wrong or the size is wrong, and cancel is the only button they trust. Put the edit next to the cancel. When they still want to cancel, a modest incentive (a discount on this order, or a small gift) is a save. It is not a trick if the alternative is a refund you were about to process anyway. [Reduce order cancellations](/blog/reduce-order-cancellations.html) is the policy side. [Self-serve edits versus tickets](/blog/self-serve-order-edits-vs-tickets.html) is how to roll it out so the warehouse is not surprised.

## 7. Write the rules by country and by customer

Not every order should be editable. A cross-border address change can move the parcel into a zone you did not price. A wholesale tag may need staff. Block those, and allow the rest. One global "edit everything" switch is how a Black Friday order leaves the country you thought it was in.

| Edit | Usually allow | Hold for staff |
| --- | --- | --- |
| Shipping address, same country | Yes, before the label | After fulfilment |
| Address that changes country | Rarely | Almost always |
| Variant swap in stock | Yes | When the new SKU changes the ship date |
| Quantity increase | Yes, if stock remains | When it raids a held allocation |
| Cancel | Offer a fix or a small save first | Fraud reviews |

If you fulfil within hours, the self-serve window is short on purpose. Tell the customer that in the confirmation email. A surprise "too late" with no stated cutoff feels like a broken button.

Returns are the expensive version of the same mistakes, after the truck. [Fewer returns](/blog/reduce-ecommerce-returns.html) starts with edits that happen first. Reviso also covers returns and exchanges once the parcel has moved, including store credit, but the Black Friday win is the hour after checkout, not the week after delivery.

Turn this on before you turn on ads. A Friday install, with no test order, is how you discover the button on a live complaint.

### FAQ

**Can Shopify customers change their address after Black Friday checkout?**

Not with Shopify alone. Staff can edit the order in the admin. Customers need an order editing app on the order status page or in their account, and the edit has to close before fulfilment. After the label is created, the cheap window is gone.

**What is the most common order change on Black Friday?**

The shipping address. People check out at a gift address, a work address, or an old saved address, then notice an hour later. Variant swaps (size and colour) are next, then quantity, then a forgotten add-on.

**Should I let every customer edit every field during BFCM?**

No. Allow the corrections that are cheap and block the ones that break a rule. Address and variant swaps are the usual yes. Some countries, wholesale tags, or high-risk orders should stay staff-only. Write that down before Friday, not in the inbox on Saturday.

**How do order edits reduce Black Friday cancellations?**

A shopper who can fix the address or the size does not need to cancel and repurchase. When they do start a cancellation, an incentive to keep the order beats a silent refund. The cancel path should be visible, or they will email anyway and you have both systems.

**What if the order has already shipped?**

The edit window should already be closed. A shipped wrong address is a carrier problem or a reship, not a self-serve edit. That is why the cutoff has to be tied to fulfilment, automatically, including orders that go out the same day.

## 8 free gift with purchase ideas for the holiday season

URL: https://ninety9.dev/blog/holiday-free-gift-with-purchase-ideas.html
Published: 2026-10-11 (updated 2026-10-11)
Category: Shipping & Fulfilment · App: Goalify: Free Shipping Bar PRO
Reading time: 6 minutes

Eight free gift with purchase ideas for Shopify holiday and Black Friday promos, chosen for perceived value, landed cost and a threshold that still makes money.

A holiday free gift with purchase is a product added when the cart hits a rule: a spend level, a quantity, or a specific item. For Black Friday and the weeks around it, the gift is how you raise [average order value](/blog/how-to-increase-average-order-value-shopify.html) without another sitewide percent. The trap is giving away something people do not want, or something that costs more than the extra margin.

[Goalify](https://apps.shopify.com/goalify?src=ninety9dev) auto-adds the gift when the condition is met, stacks it above free shipping, and can use a different threshold per country. [Addy](https://apps.shopify.com/addy-cart-drawer?src=ninety9dev) is where we show that progress inside the cart drawer, next to the total. Goalify is free up to 10 orders a month, then $3.99, $7.99 and $11.99, on the [Goalify listing](https://apps.shopify.com/goalify?src=ninety9dev). Addy is free to install from the [Addy listing](https://apps.shopify.com/addy-cart-drawer?src=ninety9dev). How to pick a gift that pays is the [free gift with purchase strategy](/blog/free-gift-with-purchase-strategy.html). These eight are holiday-specific.

![Simplified goal ladder with shipping still short and a gift further ahead](/assets/img/blog/ui-goals.jpg "Shipping is the near rung. The gift is the next one, not a reward shouted at the same volume.")

Shipping is the first rung, still short of the goal. The gift is the next rung, at a higher number. The gift is not a surprise in the box. It is a goal with an amount remaining, shown before they pay. A gift that only appears in the packing slip gets disputed. A gift that appears as a line when they cross the threshold gets kept.

[Addy](https://apps.shopify.com/addy-cart-drawer?src=ninety9dev) is the drawer that can show that progress next to checkout. Goalify owns the rule that adds the gift. If those two disagree, trust the rule and fix the drawer. Two different thresholds is how a shopper earns a gift the warehouse did not reserve.

## 1. The travel size of the hero

A mini of what they just bought. High perceived value, low landed cost, and it does not replace the full size because they already have the full size in the cart. This is the default holiday gift if you make consumables. Set it on a spend level above free shipping.

## 2. A sample of the product they have not tried

The adjacent scent, shade or flavour, in a sample. You are buying a future full-size order with a unit that costs little to pack. Do not gift the full size of a product you are trying to sell at full price in the same season. That is cannibalisation with a ribbon.

## 3. A pouch, sleeve or ornament you do not sell alone

An exclusive that has no product page. Perceived value comes from "you cannot buy this." Landed cost stays low because you printed a run for the promotion. When the run is gone, the offer ends. Do not reorder it in January out of guilt and then have a SKU with no home.

## 4. Gift wrap as the goal

For some catalogues the "gift" is the wrap, the box, or the handwritten card, unlocked at a threshold. It fits holiday intent perfectly. The operational version is [gift wrap as a cart goal](/blog/gift-wrap-as-a-cart-goal.html). Keep it a choice they can see in the drawer. A wrap that appears only in the warehouse, with no line on the order, will be disputed.

## 5. A miniature of the thing that completes the set

The case, the cap, the filter, the spoon. Small, relevant, and useful the day it arrives. This beats a random accessory from a leftover bin. Relevance is why they stretch the cart. Novelty is why they forget.

## 6. A two-step gift, not two gifts at once

Free shipping first. This gift second, at a higher number. Reveal the gift when shipping is earned, so the top prize does not make the first rung look trivial. [Stacked cart goals](/blog/stacked-cart-goals.html) is the sequence. Goalify is built for that stack. Addy shows the active rung in the drawer so the cart does not turn into a terms-and-conditions page. What else belongs in that drawer during the weekend is in [cart drawer upsells for BFCM](/blog/cart-drawer-upsells-bfcm.html).

## 7. A gift tied to a specific product, not the whole site

"Spend $90" is vague on a store with $20 items and $200 items. "Add the serum, get the mini cream" is a rule on a product. Goalify can trigger on cart value, quantity, or specific products. Use the product rule when you know the pair. Use the spend rule when the catalogue is wide and you only need the average to move.

![Simplified cart line with the paid product and a free gift](/assets/img/blog/ui-giftline.jpg "The gift is a named line at free, next to what they paid for.")

The gift line should look like a product, with a name, and a price of free. "Gift included" with no SKU is how support spends Sunday answering "what am I supposed to receive?" Put the same name on the goal and on the line. If you let them choose between two gifts, the choice is one tap, and both SKUs have a reserve. A choice of six is a form, and forms do not belong in a holiday cart.

## 8. The BOGO that is actually a gift

Buy the hero, get a specific small item. Say the item. "Buy one get one" with the second unit mysterious is how people assume they get a second hero, then write to you when they do not. If you mean a second hero, that is a quantity offer, and it belongs in [quantity breaks](/blog/quantity-breaks-black-friday-cyber-monday.html) or a [bundle](/blog/black-friday-bundle-ideas-shopify.html), priced as a discount, not described as a gift you cannot afford.

| Gift | Landed-cost risk | Stock-out risk | Fits the drawer |
| --- | --- | --- | --- |
| Travel size of the hero | Low | Medium | Yes, one line |
| Sample of something else | Low | Medium | Yes |
| Exclusive pouch | Low if you capped the run | High if you did not | Yes |
| Gift wrap | Low, until it changes the box size | Low | Yes, as a choice |
| Full-size bestseller | High | High | No |

Count the units, subtract what you need for orders already promised, and kill the offer at that line. A Black Friday gift that fails to ship is the review that outlives the weekend.

Country thresholds still apply. A gift that is cheap to add domestically can push an international parcel into a new weight break. Set that market's goal higher, or do not offer the gift there. Goalify can do the country split. The drawer in Addy should not promise a gift the market will not receive.

The threshold under the gift, if shipping is rung one, is calculated in [five steps for a BFCM free shipping threshold](/blog/free-shipping-threshold-bfcm.html).

### FAQ

**What is a good free gift with purchase for Black Friday?**

A sample, a travel size, or a small exclusive of your own product. Shoppers understand it, it does not replace a full-price hero, and the landed cost can sit under the extra profit from the units they added to qualify. A random cheap item from another category usually does not get added on purpose. People ignore the threshold.

**Where should the gift threshold sit relative to free shipping?**

Higher. Free shipping is the first rung, the gift is the next. If both sit at the same number, you paid for two rewards to move one basket. If the gift is lower than shipping, shoppers take the gift and never stretch for shipping.

**Should holiday shoppers choose their gift?**

A choice of two is enough. Three starts to feel like a form. One gift is fine when the item is obviously desirable. More choice also means more SKUs that can stock out on Saturday.

**Can the gift show inside the cart drawer?**

Yes. The rule can live on the goal, and the drawer can show the progress and the gift line. The shopper should see the gift appear when they cross the amount, not discover it in the confirmation email.

**What happens when the gift sells out during BFCM?**

Suppress the offer as soon as you hit the reserve you set aside for orders already promised. A gift that disappears silently, or that you cannot pack, costs more goodwill than the promotion made. Do not advertise a gift you have twelve of, on an ad that will be seen by thousands.

## 9 ways to increase average order value on Black Friday without bigger discounts

URL: https://ninety9.dev/blog/increase-aov-black-friday-without-bigger-discounts.html
Published: 2026-10-11 (updated 2026-10-11)
Category: Average Order Value
Reading time: 7 minutes

Nine ways to increase average order value on Black Friday and Cyber Monday without a deeper sitewide discount, using the cart, the product page and the order after checkout.

Black Friday average order value is revenue divided by orders during the BFCM weekend. The usual way stores try to raise it is a bigger discount. That makes each unit cheaper, so the order value only rises if the shopper adds enough extra units to offset the cut. Often they do not. They buy the same thing, pay less, and your gross profit per order falls while the dashboard AOV looks flat.

There is another way. Keep the campaign discount you already planned, and add one reason to put something else in the basket. These nine are that reason. None of them require a deeper sitewide code. All of them sit on a Shopify store as a theme app extension, so you are not editing `theme.liquid` the week of 27 November.

![Simplified quantity break with one, two and three units priced each](/assets/img/blog/ui-qty.jpg "One stays at the campaign price. Two and three show a lower price each.")

AOV is a ratio. Revenue over orders. You can raise it by charging more, by putting more units in the order, or by making the discount smaller than the extra product it bought. The third one is the Black Friday version of the first, and it is the one stores get backwards. They deepen the code, AOV stays flat, and gross profit per order falls.

The quantity widget above is the clean version of "more units." One bottle stays at the campaign price. Two and three show a per-unit saving, and the button does not change. The person who wanted a gift can still buy one. The person who can use three does not need a sitewide code to see why.

The order of the funnel matters more than the number of apps. Product page first, where the quantity break or the one bundle lives. Cart second, where shipping and one extra product are visible next to the total. Exit third, and only if they are leaving. The order screen last, after you have already been paid. Stacking all four on the product page is how the button gets pushed below the fold.

The longer map is [how to increase average order value on Shopify](/blog/how-to-increase-average-order-value-shopify.html). This page is the BFCM cut: what to turn on, and what to leave off so the weekend stays readable.

## 1. A quantity break instead of another 10 percent

On a consumable, "2 save a little, 3 save a little more" beats "25% off everything" because the shopper who wanted one still can buy one, and the shopper who can use three sees a reason. Price the tiers from margin, not from the loudest competitor. Worked examples are in [quantity breaks for Black Friday and Cyber Monday](/blog/quantity-breaks-black-friday-cyber-monday.html). [Addly](https://apps.shopify.com/addly?src=ninety9dev) runs the tiers down to a variant, which matters when one size is the one you need to move.

![Simplified shipping goal and a later gift goal](/assets/img/blog/ui-goals.jpg "Shipping is the near rung. The gift sits further out, so the two do not compete.")

## 2. A free-shipping threshold above the order you already get

Set the bar a little above the median BFCM basket, not at $1 under it. Shoppers who were going to clear it still do. Shoppers just below have one honest gap. The five-step version is [the right free shipping threshold for BFCM](/blog/free-shipping-threshold-bfcm.html). [Goalify](https://apps.shopify.com/goalify?src=ninety9dev) draws the bar, including a different number per country, because a domestic parcel and an overseas parcel are not the same cost.

## 3. One bundle on the hero, not a bundle grid

A single frequently-bought-together set under the button adds a unit without a sitewide cut. Twelve bundles on the page add confusion. Ideas and pricing are in [Black Friday bundle ideas](/blog/black-friday-bundle-ideas-shopify.html). The discount, if you need one, sits on the added item.

![Simplified cart drawer with a progress bar, two items, one suggestion and checkout](/assets/img/blog/ui-cart.jpg "Progress, the items, one suggestion, then checkout. Checkout stays the largest control.")

## 4. One upsell inside the cart drawer

The cart is where the shopper has already said yes. One complementary product, priced well below the hero, under the line items. Not a column of eight. [Cart drawer upsells that work during BFCM](/blog/cart-drawer-upsells-bfcm.html) lists ten that earn the slot. [Addy](https://apps.shopify.com/addy-cart-drawer?src=ninety9dev) is the drawer: the upsell, the shipping bar, a delivery date, and a cart that can differ by market.

## 5. A gift at the next rung, not instead of shipping

Free shipping at the first threshold, a [free gift with purchase](/blog/holiday-free-gift-with-purchase-ideas.html) at a higher one. The gift is a sample or a travel size with a low landed cost. It is not 20% off the order, which is just a discount with a bow on it. Goalify can stack the rungs and reveal the next one when the current one is met.

## 6. An exit offer that is a product

When they leave, offer the pair they did not add, or the unit that would have cleared shipping. Do not offer a bigger coupon than the one already on the site. A second code teaches people to bounce. [Exit-intent popup offers for Black Friday](/blog/exit-intent-popups-black-friday.html) keeps the offer to one product. [Monet](https://apps.shopify.com/monet?src=ninety9dev) fires on exit, on add to cart, and at the start of checkout, so you are not using a timer popup on people who are still reading.

## 7. A post-purchase add before the parcel is sealed

The order is already paid. An extra item on the edit screen ships in the same box. That is AOV with no risk to the conversion you just won. [Post-purchase upsell ideas for BFCM](/blog/post-purchase-upsells-bfcm.html) covers the shapes. [Reviso](https://apps.shopify.com/reviso-order-editor?src=ninety9dev) puts the offer on the same screen where they fix an address or a size, and closes the edit when the order ships.

## 8. A delivery date in the drawer

This does not add a unit by itself. It stops people dropping the extra unit because they cannot tell if the order will arrive before a party or a flight. Addy can show an estimated delivery date next to the total. If the date is unknown, say so. A fake date is a support ticket on 28 November.

## 9. Country thresholds, not one global number

A $75 bar that is easy in one country is a wall in another, and a giveaway in a third. Goalify sets the goal per country. Addy can show a different cart per market. If you sell across borders on Black Friday, one threshold is how international orders either abandon or get free shipping you cannot afford.

Gross profit per order. AOV can rise while profit falls if the only thing that changed is the depth of the code. Write the campaign discount down before Friday. Do not add points to it because a competitor did.

## What the weekend report should actually say

Pull three numbers on Saturday morning, not a dashboard tour. Orders, revenue, and gross profit after the campaign discount and the shipping you absorbed. AOV is revenue divided by orders. If AOV is up and gross profit per order is down, the code got deeper or the free-shipping bar was a giveaway. If units per order are up and the discount rate is flat, the extra product is doing the job.

Do not add a fourth offer because Friday felt slow. Slow is often the page, the stock, or the ad, and another widget will not fix those. The [CRO Audit for Shopify stores](/cro-audit/) on the hero URL is the check for the page.

## What we would turn on first

If you can only ship three: a quantity break or one bundle on the hero with [Addly](https://apps.shopify.com/addly?src=ninety9dev), a free-shipping bar with [Goalify](https://apps.shopify.com/goalify?src=ninety9dev), and a drawer with one upsell in [Addy](https://apps.shopify.com/addy-cart-drawer?src=ninety9dev). Add [Monet](https://apps.shopify.com/monet?src=ninety9dev) if exit traffic is large. Add [Reviso](https://apps.shopify.com/reviso-order-editor?src=ninety9dev) before the weekend so address mistakes do not become cancellations that erase the AOV you just gained.

Then run the [CRO Audit for Shopify stores](/cro-audit/) on the hero product. If the add-to-cart button is buried, none of the nine will be seen. The pre-weekend list is [15 things to fix before 27 November](/blog/shopify-store-fixes-before-black-friday.html).

### FAQ

**How do you increase average order value on Black Friday without discounting more?**

Add a unit, a pair, or a threshold the shopper can still reach, instead of cutting the price of what they already meant to buy. Quantity breaks, a free-shipping bar set above the current average, one cart upsell, and a gift at a higher rung all do this. A bigger sitewide percent does the opposite. It makes the same basket cheaper.

**What is a realistic AOV lift for BFCM?**

On a store that has none of these offers live, one well-placed threshold or quantity break often adds a few dollars to the average within the weekend, because a slice of shoppers take the extra unit. Do not plan the ad budget on a 30% AOV jump. Plan it on gross profit per order staying flat or better while the average rises a little.

**Will these offers slow checkout on the busiest day?**

They will if they add steps. A theme app extension that loads with the theme, one offer per moment, and a checkout button that stays visible will not. Stacking five popups on the product page will. Test the hero URL on a phone before 27 November.

**Should the Black Friday discount and the AOV offer stack?**

Decide on purpose. A quantity break on top of a 20% code can erase the margin on the extra units. Many stores let the campaign code apply to the hero and keep the add-on or the bundle at its own smaller deal. Model the deepest stack before you turn both on.

**Which offer should a small Shopify store ship first?**

The one that matches the leak. Single-unit product pages need a quantity break or a bundle. Carts that stall just under a shipping cost need a free-shipping bar. Shoppers who leave at the exit need one product offer, not a coupon. The [CRO Audit for Shopify stores](/cro-audit/) will show which of those is missing.

## Addly vs Easy Bundles Quantity Breaks

URL: https://ninety9.dev/blog/addly-vs-easy-bundles.html
Published: 2026-10-10 (updated 2026-10-24)
Category: Bundles & Upsells · App: Addly: AI Bundles app & Upsell
Reading time: 3 minutes

Easy Bundles Quantity Breaks is a tiered-offer app. Addly runs quantity breaks per variant, plus mix and match, sets from real orders, and a free plan with paid Unlimited and Advanced priced by Shopify plan.

[Easy Bundles Quantity Breaks](https://apps.shopify.com/cartmax) is aimed at the merchant who wants a quantity offer without a complicated builder. The tier should be obvious to the shopper and obvious to set up. [Addly](https://apps.shopify.com/addly?src=ninety9dev) is built for that same clarity, and it keeps the rest of the offer stack in the same app so the simple tier can grow up without a second tool.

Easy is a quality of the setup. It is also a quality of the shopper's decision. Three tiers with plain prices beat a builder the shopper has to learn. The setup stops feeling easy when a second offer type arrives in a second app, with a second way of writing the discount. The product page looks simple and the admin does not.

## Three prices, then the catalogue around them

Easy Bundles Quantity Breaks concentrates on the tier. Buy more units, see the saving, add them. That is the right default for consumables, socks, supplements and anything people already understand as a multi-buy.

Addly keeps that tier plain, and makes the plain version the one you can check before it is public.

Quantity breaks with a clear ladder, including a ladder per variant. Volume discounts on that same ladder. Product bundles and frequently bought together when a tier is the wrong shape. Mix and match and build-a-box. Add-ons. Suggestions from purchase history for the sets. Live preview. Thirteen languages, Shopify Markets, analytics. Shopify's own discounts.

Free includes those offer types — up to three Basic offers. Unlimited adds Markets. Advanced adds AI recommendations. Paid prices follow your Shopify plan, from $15 / $20/mo. The break can show again in [Addy](/apps/addy.html). Addly is Built for Shopify, rated 4.9 from 111 reviews.

Per-variant ladders sound less simple until you try to explain one ladder that over-discounts a premium size. Two short tables are easier to stand behind than one wrong one. The shopper still sees units and a price. They do not see your internal name for the promotion.

## Addly and Easy Bundles

| Feature | Addly | Easy Bundles |
| --- | --- | --- |
| Price | Free plan, then from $15/mo by Shopify plan | $6 a month. No free plan |
| Volume price | A different break per variant | Quantity breaks |
| How pairs are chosen | From your order history | Frequently bought together upsells |
| Languages | 13, plus Shopify Markets | Not included |
| Before it goes live | Live preview on your theme | Styles and colour swatches |
| Which offer to keep | Click-through, conversion and revenue per offer | Not included |
| In the cart | The same offer can show again in Addy | The product-page bundle |

## Keep the page as plain as the offer

Use Addly when you want the quantity break to feel easy on the page and complete in the admin. Start with three tiers and a preselected middle option. Add a bundle only on products that have a real companion.

[Quantity breaks vs volume discounts](/blog/quantity-breaks-vs-volume-discounts.html) will keep the wording honest. Shoppers should see units and price.

### FAQ

**Is Addly an Easy Bundles alternative?**

Yes. Addly publishes quantity breaks and product bundles, including mix and match and frequently bought together. Free includes those offer types — up to three Basic offers. Unlimited and Advanced add more offers, Markets and AI.

**Can two variants have different break prices?**

Yes. Volume discounts in Addly can be set per variant.

**What is the cheapest plan with quantity breaks?**

The Free plan. Quantity breaks are included, with up to three Basic offers. Paid Unlimited and Advanced follow your Shopify plan, from $15 / $20/mo.

## Addly vs Fast Bundle: Product Bundles on One Plan

URL: https://ninety9.dev/blog/addly-vs-fast-bundle.html
Published: 2026-10-10 (updated 2026-10-24)
Category: Bundles & Upsells · App: Addly: AI Bundles app & Upsell
Reading time: 3 minutes

Fast Bundle focuses on getting a product bundle live. Addly keeps that pace and adds variant quantity breaks, mix and match, offers from orders, and paid plans priced by Shopify plan.

[Fast Bundle](https://apps.shopify.com/fast-bundle-product-bundles) is named for pace. A product bundle should take minutes. [Addly](https://apps.shopify.com/addly?src=ninety9dev) agrees with the minutes. Pace is a property of the editor and the preview. It is also a property of not splitting the quantity break onto another invoice the month you need it.

Most bundle projects die in configuration. A clear price, a short setup, and a preview you can trust will outrun a workshop. The bill is the part to read twice. Addly prices paid plans by your Shopify plan, not by monthly orders. Free lets you publish up to three Basic offers before you pay.

## Minutes, then the next product

Fast Bundle targets merchants who have decided on a bundle and want it on the page. Product bundles, a clear price, a short setup. That promise is right.

Addly's version of the same afternoon:

Product bundles and frequently bought together. Quantity breaks and volume discounts at variant level, ready when the sealed set is the wrong shape. Mix and match and build-a-box. Add-ons. Suggestions from purchase history. Live preview and offer analytics. Thirteen languages and Shopify Markets. Shopify's own discounts.

Free includes those offer types — up to three Basic offers. Unlimited and Advanced are from $15 / $20/mo, priced by Shopify plan. If you only publish one fixed bundle, you have not paid extra for the features you did not use. They are there for the next product. The offer can also sit in the [Addy](/apps/addy.html) drawer. Addly is rated 4.9 from 111 reviews and is Built for Shopify.

## Addly and Fast Bundle

| Feature | Addly | Fast Bundle |
| --- | --- | --- |
| Plans | Free, then Unlimited and Advanced from $15 / $20/mo by Shopify plan | Free on development stores. Then $19, $49 and $139, named for 1K, 3K and 10K |
| Suggestions | From your own orders on Advanced | AI frequently bought together starts at $19 |
| Volume price | A different break per variant | Volume discount upsell |
| Shopper-built sets | Nested conditions inside mix and match | Mix and match |
| Languages | 13 | Support in English |
| Before it goes live | Live preview on your theme | Not included |
| Which offer to keep | Click-through, conversion and revenue per offer | Not included |

## One sitting, one bundle, the rest waiting

Use Addly when you want to publish a set in one sitting and you want the quantity break available without changing what the app can do. Put a single bundle on the hero product this week. The rest of the catalogue can wait.

The shapes are documented in [Shopify product bundles](/blog/shopify-product-bundles-guide.html). Publish the one you can explain in a sentence. "Three for the price of two" is a sentence. A page of optional rules is a workshop.

### FAQ

**Is Addly straightforward to publish?**

You can publish one bundle and stop. Live preview shows it first. Quantity breaks, mix and match and offers from orders are on Free — up to three Basic offers. Unlimited adds unlimited offers.

**How is Addly priced?**

Free forever with up to three basic offers. Unlimited and Advanced follow your Shopify plan: $15 / $20 on Basic, $20 / $35/mo on Grow & Advanced, $39 / $50/mo on Plus.

**Are the discounts real Shopify discounts?**

Yes. Addly uses Shopify's own discount system.

## Addly vs Frequently Bought Together by Code Black Belt

URL: https://ninety9.dev/blog/addly-vs-frequently-bought-together.html
Published: 2026-10-10 (updated 2026-10-10)
Category: Bundles & Upsells · App: Addly: AI Bundles app & Upsell
Reading time: 3 minutes

Compare Addly with Frequently Bought Together from Code Black Belt. Sets from real orders, quantity breaks, mix and match, and every offer on every plan.

[Frequently Bought Together](https://apps.shopify.com/frequently-bought-together) from Code Black Belt does one job cleanly. It puts a set on the product page: this item, plus the items shoppers already buy with it. [Addly](https://apps.shopify.com/addly?src=ninety9dev) treats that set as one offer inside a broader bundle app, because the pair is usually the start of the merchandising, not the end.

A camera and a case. A serum and a moisturiser. The page should show the pair, show one decision, and add both in one click. That widget converts when the pair is true. It stalls when the next request is "now let them buy three of the serum" and the discount has to move to a second app.

## Pairs are a merchandising decision

The bought-together widget works when the catalogue has natural companions. You are not inventing a bundle. You are showing a habit the orders already contain. Code Black Belt's app is aimed at that pair.

Addly can start the same way. The AI reads purchase history, so the suggestion comes from orders in this store. On a new shop, with little history, you pick the set yourself. Manual sets stay first-class. The history becomes useful after orders exist, which is the sequence a store actually lives.

A pair and a quantity break on the same product should share one discount. Two systems on one page is how the price in the widget and the price in the cart drift apart. Addly runs the pair, the quantity break, the mix-and-match box and the add-on through Shopify's own discounts.

## Variant prices, kits, and the small yes

A 30ml and a 100ml often need different volume prices. Addly can set the break on the variant, so the expensive size is not dragged down by the travel size's table. Mix and match and build-a-box are there when the shopper should choose the contents. Add-ons cover the optional extra that should not force a new bundle.

Live preview shows the widget on your theme. Thirteen languages carry it into another country. Offer analytics show which set earns its place. Free includes those tools — up to three Basic offers. Unlimited adds Markets. Paid prices follow your Shopify plan, from $15 / $20/mo.

The set can also show in the [Addy](/apps/addy.html) drawer, so the product page and the cart agree. Addly is rated 4.9 from 111 reviews and is Built for Shopify.

## Addly and Frequently Bought Together

| Feature | Addly | Frequently Bought Together |
| --- | --- | --- |
| Free plan | Up to 3 basic offers | 3 manual bundles, basic styling, basic support |
| Pairs | From your orders, or chosen by you, on every plan | Automatic recommendations start at $14.99 |
| Same product, more units | Quantity breaks, including one variant | Not included |
| Shopper-built sets | Mix and match and build-a-box | Not included |
| Small extras | Warranty, gift wrap, shipping protection | Not included |
| Languages | 13, on every plan | Translations start at $14.99 |
| Where it shows | Product page, and again in the Addy cart | Product and cart widgets start at $14.99 |
| Reading the winner | Click-through, conversion and revenue per offer | Analytics start at $14.99 |

## When the pair is the start

Choose Addly when "bought together" is the first offer and you expect a quantity break or a box on the same catalogue. If the only thing you will ever publish is one static pair, a dedicated widget matches that brief. The moment the same product needs a second offer shape, one app should own both discounts.

See [frequently bought together on Shopify](/blog/frequently-bought-together-shopify.html) for how to pick the set, and the [bundles guide](/blog/shopify-product-bundles-guide.html) for the other shapes.

### FAQ

**Does Addly replace a frequently bought together app?**

Yes. Addly can show products that are bought together, and it can also run quantity breaks, mix and match and add-ons from the same app.

**Where do the recommendations come from?**

Addly can read purchase history, so the set is based on orders placed in the store. You can also choose the products yourself.

**Does a small store get the set?**

Free includes frequently bought together — up to three Basic offers. Unlimited adds unlimited offers. Advanced adds AI recommendations. Paid prices follow your Shopify plan, from $15 / $20/mo.

## Addly vs Kaching Bundles: Shopify Bundles Compared

URL: https://ninety9.dev/blog/addly-vs-kaching-bundles.html
Published: 2026-10-10 (updated 2026-10-10)
Category: Bundles & Upsells · App: Addly: AI Bundles app & Upsell
Reading time: 3 minutes

Kaching Bundles and Addly both sell quantity breaks and bundles on Shopify. Compare offers from real orders, variant pricing, mix and match, and Addly plans priced by Shopify plan.

[Kaching Bundles](https://apps.shopify.com/bundle-deals) taught a lot of Shopify stores the quantity-break widget. Buy two, save more. Buy three, save more again. The choice is obvious, and obvious choices convert. [Addly](https://apps.shopify.com/addly?src=ninety9dev) is built for that same moment on the product page, and for the offers a single tier table does not cover.

A quantity break is one offer. A real catalogue usually needs four: the break, the set people already buy together, the box they build themselves, and the small add-on under the button. Addly keeps those in one app. The free plan includes them.

## The tier is the easy offer. It is rarely the only one.

Kaching is a deal widget. The shopper sees the step from one unit to several, and the price updates. That is the right default for socks, supplements, refills and anything people already understand as a multi-buy.

The week after a tier is live, merchants ask for the rest. Can this shade have its own price? Can the shopper build a kit? Can we show the moisturiser that actually gets bought with the serum? Addly is set up for those questions on day one.

Quantity breaks and volume discounts can sit on a single variant. A premium size and a travel size do not have to share a table that over-discounts one of them. Frequently bought together can use real purchase history, so the pair comes from orders, or you can pick it yourself. Mix and match and build-a-box cover the kit the shopper assembles. Add-ons cover the small yes: gift wrap, a refill, a case.

You preview the widget on the real theme before it is public. The wrong preselected tier teaches people to buy one. You want to see that before they do.

## A bill that does not cap extra revenue

Addly's paid prices follow the shop’s Shopify plan, not monthly orders. Free includes up to three Basic offers. Unlimited and Advanced are from $15 / $20/mo. Unlimited adds Markets. Advanced adds AI recommendations. Growing the store does not take the widget away.

Offers go through Shopify's own discounts, so the price on the page and the price at checkout are the same discount. Thirteen languages and Shopify Markets keep the offer readable when you leave the home country. Analytics tell you which offer to keep. The same offer can show again in the [Addy](/apps/addy.html) cart drawer, so the product page and the cart tell one story.

Addly is rated 4.9 from 111 reviews and carries the Built for Shopify badge.

## Addly and Kaching Bundles

| Feature | Addly | Kaching Bundles |
| --- | --- | --- |
| What the plans include | Bundles, quantity breaks, mix and match and add-ons from Free; AI offers on Advanced. No revenue cap | Starter is $14.99 and caps extra revenue at $1,000. Scale caps it at $5,000. Pro is $59.99 and caps it at $10,000 |
| Volume price | A different break for a single variant | Volume discount on products or collections |
| Shopper-built sets | Mix and match and build-a-box, with conditions inside conditions | Bundle deals you configure |
| How pairs are chosen | From your real orders, or by you | Bundles, gifts and upsells you set up |
| Add-ons | Warranty, gift wrap or shipping protection, one click | Free gifts and custom upsells |
| Languages | 13, plus Shopify Markets | 9 languages |
| Before it goes live | Live preview on your theme | Colours and styling |
| In the cart | The same offer can show again in the Addy drawer | The product-page deal |

## How to run the page

Put the tier on the SKU people already buy in multiples. Put the pair on the SKU that has a real companion in your orders. Leave the box for products where choice is the point. Two shapes on a template is plenty. Six shapes is a page with no offer.

The definitions are in the [Shopify product bundles guide](/blog/shopify-product-bundles-guide.html) and in [quantity breaks vs volume discounts](/blog/quantity-breaks-vs-volume-discounts.html).

### FAQ

**Is Addly a Kaching Bundles alternative?**

Yes. Addly covers quantity breaks, bundles, mix and match, add-ons and frequently bought together, with suggestions from purchase history on Advanced.

**Do cheaper Addly plans lose offers?**

Free includes up to three Basic offers. Unlimited adds unlimited offers, custom design and Markets. Advanced adds AI, bundle discounts and targeting. Paid prices follow your Shopify plan, from $15 / $20/mo.

**Can two variants have different quantity prices?**

Yes. Addly can price a volume break on the variant, so a 30ml and a 100ml do not have to share one table.

## Addly vs MBC Bundles: Product Bundles on Shopify

URL: https://ninety9.dev/blog/addly-vs-mbc-bundles.html
Published: 2026-10-10 (updated 2026-10-10)
Category: Bundles & Upsells · App: Addly: AI Bundles app & Upsell
Reading time: 3 minutes

MBC Bundles groups products into Shopify bundles. Addly adds quantity breaks, mix and match, offers from real orders, and paid plans priced by Shopify plan.

[MBC Bundles](https://apps.shopify.com/bundle-products-mbc) is a product-bundle app. You group SKUs, you price the group, you put it on the store. [Addly](https://apps.shopify.com/addly?src=ninety9dev) still does that group. It also answers the two requests that show up the week after a bundle app goes live: can they build their own, and can three of the same one cost less.

A fixed kit is a merchandising decision. A starter set, a gift box, a device plus the thing it needs. It should not require a second app the moment the decision changes.

## Kits rot when the only edit is a new fixed group

MBC sits in the "bundle these products" category. The merchant knows the kit. The app's job is to sell that kit as one decision. That is a strong job when the kit is truly fixed.

Kits change. A summer kit and a winter kit are two bundles. A shopper who wants the kit without one item needs mix and match. A shopper who wants three of the hero needs a quantity break. One catalogue often has all three, sometimes on the same collection.

Addly keeps the fixed group and the variations.

Product bundles and frequently bought together. Groups drawn from purchase history, plus bundles you specify. On a two-week-old store, history is a poor guide, so you pick the kit. The suggestions become useful after orders exist. Mix and match and build-a-box when the kit should be flexible. Quantity breaks and volume discounts, including per variant. Add-ons for the optional extra that should not force a new bundle.

Live preview, analytics, 13 languages. Shopify's own discounts. Free includes the offer types — up to three Basic offers. Unlimited adds Markets. Advanced adds AI. Paid prices follow your Shopify plan, from $15 / $20/mo. In-cart presentation with [Addy](/apps/addy.html). Rated 4.9 from 111 reviews, Built for Shopify.

## Addly and MBC Bundles

| Feature | Addly | MBC Bundles |
| --- | --- | --- |
| Top price | $50/mo on Plus Advanced | $159.99 on the top plan |
| Small stores | Free plan with up to three Basic offers | Development stores, then $15.99 and $59.99 before the top plan |
| Volume price | A different break per variant | Quantity breaks and volume discount |
| How pairs are chosen | From your order history | Not included |
| Shopper-built sets | Mix and match with nested conditions, on every plan | Mix and match and a bundle builder |
| Languages | 13 out of the box | Shopify Markets |
| Before it goes live | Live preview on your theme | Not included |
| Which offer to keep | Click-through, conversion and revenue per offer | Not included |

## Install for the kit you have, and the kit you will have

Use Addly when the bundle is a kit today and might be a ladder or a box next quarter. MBC's idea, a clear group of products, is the right starting offer. Addly is the home for it when you expect the offer to change shape.

[Frequently bought together](/blog/frequently-bought-together-shopify.html) is the tight version of a kit. The [bundles guide](/blog/shopify-product-bundles-guide.html) covers the looser ones.

### FAQ

**Can Addly create a product bundle like MBC?**

Yes. Addly builds product bundles and frequently bought together sets, using your choices or purchase history.

**What if shoppers should build the bundle themselves?**

Use mix and match or build-a-box. They choose the contents on the product page, and the discount is a Shopify discount.

**Does Addly work with almost no orders yet?**

Yes. Free includes bundles — up to three Basic offers. Unlimited adds unlimited offers. With little history, you pick the bundle until there are orders to read on Advanced.

## Addly vs P: Quantity Breaks & Bundles

URL: https://ninety9.dev/blog/addly-vs-pareto-quantity-breaks.html
Published: 2026-10-10 (updated 2026-10-10)
Category: Bundles & Upsells · App: Addly: AI Bundles app & Upsell
Reading time: 3 minutes

P: Quantity Breaks & Bundles focuses on tiered pricing. Addly adds sets from real orders, mix and match, variant-level breaks, and plans that keep every feature.

[P: Quantity Breaks & Bundles](https://apps.shopify.com/quantity-price-breaks-limit-purchase) is a pricing app. The product page grows a ladder, and each rung is a better unit price. [Addly](https://apps.shopify.com/addly?src=ninety9dev) includes that ladder and the other offers a product page uses once the ladder is not the only story.

Tier tables fail in a specific, expensive way. They assume every variant shares one price logic. A 50ml and a 200ml, or a standard size and a plus size, often need two ladders. One shared table over-discounts the expensive SKU or under-discounts the cheap one. Either way the margin is wrong, and the shopper can feel it.

## A ladder is a good default. It is a bad universal rule.

Pareto's app is for merchants who think in breaks. Buy 1, buy 2, buy 4. The widget makes the break obvious, which is why the category converts. Bundles sit next to the breaks so a set can have a deal too.

Addly keeps the ladder and lets it differ by variant. Publish one table on the SKU that has one price. Publish two short tables when the sizes should not share a discount. Two honest tables are easier to defend than one clever table that is wrong on the premium size.

The page can also sell a pair. Frequently bought together can come from purchase history or from products you choose. A store that only has ladders never shows the companion someone would have added if they had seen it. Mix and match and build-a-box cover the set the shopper assembles. Add-ons cover the small item that belongs in the order without becoming its own bundle.

## The plan should not hide the ladder

Free includes quantity breaks and bundles — up to three Basic offers. Unlimited and Advanced are from $15 / $20/mo, priced by Shopify plan. You preview the widget before it is public, in 13 languages. Unlimited adds Markets. Analytics sit on the offer. The discount is Shopify's own, so the cart does not reconcile two apps.

The break can show again in the [Addy](/apps/addy.html) drawer. Addly is rated 4.9 from 111 reviews and is Built for Shopify.

## Addly and Pareto

| Feature | Addly | P: Quantity Breaks & Bundles |
| --- | --- | --- |
| Free plan | Up to 3 basic offers, no revenue cap | 1 active offer, and extra revenue capped at $300 |
| Volume price | A different ladder per variant, on every plan | Volume discounts on the offer |
| Shopper-built sets | Mix and match on every plan, including free | Multi-product bundles on the $59.99 plan |
| Add-ons | On every plan | Bundles and add-ons on the $29.99 plan |
| How pairs are chosen | From your order history | Not included |
| Languages | 13 out of the box | Auto-translate on the $59.99 plan |
| Revenue cap | None. Plans change with orders, not with a revenue ceiling | $300, then $2,000, $5,000 and $10,000 |
| Before it goes live | Live preview on your theme | A basic in-app layout on the free plan |

## Set the table you can explain

Use Addly when the break is real and the catalogue is more than one SKU. Start with three tiers and a preselected middle option. Add a pair only where orders say two products belong together.

Read [quantity breaks vs volume discounts](/blog/quantity-breaks-vs-volume-discounts.html) before you copy one table onto a whole collection.

### FAQ

**Can Addly show a quantity-break table?**

Yes. Addly supports quantity breaks and volume discounts, including a different discount for each variant.

**What else can sit on the product page?**

Frequently bought together, mix and match, build-a-box and add-ons, plus offers based on past orders.

**Are features locked on the free plan?**

Free includes up to three Basic offers. Unlimited adds Markets. Advanced adds AI. Paid prices follow your Shopify plan, from $15 / $20/mo.

## Addly vs Pumper Bundles: Quantity Breaks on Shopify

URL: https://ninety9.dev/blog/addly-vs-pumper-bundles.html
Published: 2026-10-10 (updated 2026-10-10)
Category: Bundles & Upsells · App: Addly: AI Bundles app & Upsell
Reading time: 3 minutes

Pumper sells quantity breaks and product bundles. Addly matches that job with variant prices, offers from real orders, mix and match, and paid plans priced by Shopify plan.

[Pumper](https://apps.shopify.com/pumper-quantity-breaks-product-bundles-discounts) is a quantity-break app with bundles attached. The promise is speed: get a tiered offer onto the product page and let the unit price do the selling. [Addly](https://apps.shopify.com/addly?src=ninety9dev) is in that race, with room for the next offer once the tier is live.

A widget you can publish this afternoon beats a perfect offer that is still a draft in May. The next question is whether that widget is the only one the product will need. A hero with one price can live on a single table. A hero with variants, or a hero people buy with something else, needs more than the table.

## Publish the break, then keep the set in the same place

Pumper concentrates on breaks and product bundles. Merchants who want a visible "buy more, save more" block are the audience. The widget is the conversion tool.

Addly gives you that block and the pieces that usually arrive as a second install.

A different volume price per variant, so sizes and shades stay honest. Product bundles and frequently bought together, including sets drawn from purchase history. Mix and match and build-a-box when the shopper should assemble the offer. Add-ons for the small item under the main product. Live preview, so you see which tier is preselected before the theme does. Thirteen languages, Shopify Markets, and analytics on the offers you publish.

The discount is Shopify's own. Free includes those offer types — up to three Basic offers. Unlimited and Advanced are from $15 / $20/mo, priced by Shopify plan. The offer can show again in the [Addy](/apps/addy.html) drawer. Addly is rated 4.9 from 111 reviews and is Built for Shopify.

Live preview matters on a tier widget because the wrong default teaches the shopper to buy one. Look at the preselected option before you publish. If the middle tier is the one your margin wants, make it the one their eye hits first.

## Addly and Pumper

| Feature | Addly | Pumper |
| --- | --- | --- |
| Free plan | Up to 3 basic offers, no revenue cap | Free until $300 of extra revenue, then $9.99, $29.99 and $49.99 |
| Volume price | A different break per variant | Quantity breaks |
| How pairs are chosen | From your order history, or by you | Bundles you build |
| Shopper-built sets | Mix and match, with conditions inside conditions | A bundle builder |
| Add-ons | Warranty, gift wrap, shipping protection | Not included |
| Languages | 13, plus Shopify Markets | Not included |
| Before it goes live | Live preview on your theme | Not included |
| Which offer to keep | Click-through, conversion and revenue per offer | Not included |

## Start with the sentence you can say out loud

"Three for a better unit price" is a sentence. Publish that on the SKUs people already replenish. Add the companion product when orders say two SKUs belong together. Addly holds both, so the second offer does not become a second discount system.

The merchandising notes are in the [bundles guide](/blog/shopify-product-bundles-guide.html). A drawer cannot rescue a tier table nobody understands. Get the page right first.

### FAQ

**Is Addly an alternative to Pumper?**

Yes, for quantity breaks and product bundles. Addly also runs frequently bought together, mix and match and add-ons, with suggestions from purchase history.

**How does Addly pricing work?**

Free forever with up to three basic offers. Unlimited and Advanced follow your Shopify plan, from $15 / $20/mo.

**Can the offer show in the cart?**

Yes. Addly offers can be presented again in the Addy cart drawer.

## Addly vs Rapid Bundles: Fast Shopify Bundle Setup

URL: https://ninety9.dev/blog/addly-vs-rapid-bundles.html
Published: 2026-10-10 (updated 2026-10-10)
Category: Bundles & Upsells · App: Addly: AI Bundles app & Upsell
Reading time: 3 minutes

Rapid Bundles & Upsell gets a bundle widget onto Shopify quickly. Addly pairs that pace with offers from real orders, variant quantity breaks, mix and match, and a free full plan.

[Rapid Bundles](https://apps.shopify.com/rapi) is sold as speed. The bundle or upsell should be on the product page before the afternoon disappears. [Addly](https://apps.shopify.com/addly?src=ninety9dev) treats speed as a preview and a suggestion. A fast empty widget is still an empty widget. A fast draft that reflects what people buy is something you can publish.

Any offer is better than a lone add-to-cart button. The second week is the real test. If the draft was generic, and every variant shares a discount it should not share, you will rebuild it. Speed you have to redo is a delay with extra steps.

## Day one should include seeing the offer

Rapid-style apps win the install when the store has no offer at all. The merchant wants a bundle, an upsell, or a break, and they want it today. Addly's version of today includes two things you can look at.

Suggestions from purchase history, so the first set is tied to orders in this store. On a brand-new shop you still choose the products yourself. And a live preview, so day one includes seeing the widget in place, including which option is preselected.

Behind that draft the full set is already there. Frequently bought together and product bundles. Quantity breaks and volume discounts per variant. Mix and match and build-a-box. Add-ons. Thirteen languages, offer analytics. Shopify's own discounts. Free includes those offer types — up to three Basic offers. Unlimited adds Markets. Advanced adds AI. Paid prices follow your Shopify plan, from $15 / $20/mo.

A second surface is the [Addy](/apps/addy.html) drawer, if the product page should not be the only place the offer appears. Addly is rated 4.9 from 111 reviews and is Built for Shopify.

## Addly and Rapid Bundles

| Feature | Addly | Rapid Bundles |
| --- | --- | --- |
| Revenue cap | None. Paid prices follow your Shopify plan, from $15 / $20/mo | Forever free stops at $100 a month from the app. Then $1,000 and $10,000 caps, until Elite at $59 |
| Volume price | A different break per variant, on every plan | Volume discounts start at $15 |
| How pairs are chosen | From your order history | Not included |
| Add-ons | Warranty, gift wrap and shipping protection, on every plan | Free gifts and upsells start at $15 |
| Languages | 13, plus Shopify Markets | Not included |
| Before it goes live | Live preview on your theme | Not included |
| Which offer to keep | Click-through, conversion and revenue per offer | Not included |

## Publish the right type quickly

Choose Addly if you want the widget today and you also want the variant break and the bought-together set in the same place next month. The wrong type, published quickly, is still the wrong type.

Start from the [bundles guide](/blog/shopify-product-bundles-guide.html) if you are choosing the offer while the app installs. One sentence should describe it. If you need a paragraph, it is not ready for the product page.

### FAQ

**Can I launch a bundle quickly with Addly?**

Yes. Live preview and suggestions from purchase history mean the first offer does not have to be built from a blank widget.

**Does Addly only do bundles?**

It also does quantity breaks, volume discounts, frequently bought together, add-ons and build-a-box.

**What does the Built for Shopify badge mean here?**

Addly is Built for Shopify and rated 4.9 from 111 reviews. The badge is Shopify's bar for performance, design and the merchant experience.

## Addly vs Shopify Bundles: Fixed Bundles and Everything Around Them

URL: https://ninety9.dev/blog/addly-vs-shopify-bundles.html
Published: 2026-10-10 (updated 2026-10-24)
Category: Bundles & Upsells · App: Addly: AI Bundles app & Upsell
Reading time: 3 minutes

Shopify Bundles builds fixed bundles and multipacks. Addly adds quantity breaks, mix and match, offers from real orders, and a free plan with paid Unlimited and Advanced priced by Shopify plan.

[Shopify Bundles](https://apps.shopify.com/shopify-bundles) is the first-party answer for a simple pack. You group products into a fixed bundle or a multipack, and Shopify sells that group. [Addly](https://apps.shopify.com/addly?src=ninety9dev) still makes sets. It is for stores whose product page has to do more than one pack at a fixed price.

A sealed gift set that never changes fits a fixed bundle. A three-pack of the same soap can too. The page outgrows that the first time a shopper should choose the contents, or buy three of the same SKU for less, or see the product people actually purchase alongside it.

## Fixed packs are a decision. They are one decision.

Shopify Bundles is deliberately narrow. Fixed bundles and multipacks. There is no quantity ladder, no mix-and-match builder, no add-on under the buy button. The app is free, and it lives in the admin merchants already trust. Use that narrowness on purpose, for the kit that should stay sealed.

Addly can still sell a fixed set. It can also sell the shapes that show up the week the sealed kit is not enough.

- Frequently bought together, from purchase history or from a set you choose.
- Quantity breaks and volume discounts, with a separate ladder per variant.
- Mix and match and build-a-box, so the shopper picks the contents.
- Add-ons for the optional extra.
- Live preview, 13 languages, Shopify Markets, and offer analytics.
- A free plan with up to three basic offers, then Unlimited and Advanced from $15 / $20/mo, priced by Shopify plan. Unlimited adds Markets. Advanced adds AI recommendations and bundle discounts.

The discount is Shopify's own. Checkout does not have to translate a private price into a real one. If the set should appear again after add to cart, [Addy](/apps/addy.html) can present it in the drawer.

A fixed multipack can remain the hero. Addly does not force a ladder onto a product that should stay a sealed set. The ladder is there for the SKU that should have one. Addly is rated 4.9 from 111 reviews and is Built for Shopify.

## Addly and Shopify Bundles

| Feature | Addly | Shopify Bundles |
| --- | --- | --- |
| Fixed sets | Yes, as a bundle | Fixed bundles and multipacks |
| Shopper-chosen contents | Mix and match and build-a-box | Not included |
| More units of one product | Quantity breaks, including a single variant | A multipack you defined |
| What to pair it with | Real orders, or your own pick | The products you grouped |
| Add-ons | Warranty, gift wrap, shipping protection | Not included |
| Before it goes live | Live preview on your theme | Created in the admin |
| In the cart | Can show again in the Addy drawer | The bundle product |

## When to move

Stay with a fixed pack when every offer you will ever run is a sealed set. Move to Addly when the catalogue needs a pack and a quantity break and a box, and you want one discount for all three.

The definitions are in [Shopify product bundles](/blog/shopify-product-bundles-guide.html). If you are unsure whether a ladder or a sealed pack fits a SKU, [quantity breaks vs volume discounts](/blog/quantity-breaks-vs-volume-discounts.html) splits them.

### FAQ

**Should I replace Shopify Bundles with Addly?**

Move when you need more than a fixed bundle or multipack. Addly still creates sets, and it also runs quantity breaks, mix and match, add-ons and offers from purchase history.

**Does Addly use Shopify discounts?**

Yes. Offers go through Shopify's own discount system, so the bundle price is a real Shopify discount at checkout.

**Is Addly free?**

Addly has a free plan with up to three basic offers. Paid Unlimited and Advanced follow your Shopify plan, from $15 / $20/mo.

## Addly vs Wide Bundles for Shopify Quantity Offers

URL: https://ninety9.dev/blog/addly-vs-wide-bundles.html
Published: 2026-10-10 (updated 2026-10-24)
Category: Bundles & Upsells · App: Addly: AI Bundles app & Upsell
Reading time: 3 minutes

Wide Bundles builds quantity breaks and bundles. Addly covers those offers with prices per variant, suggestions from real orders, mix and match, and paid plans priced by Shopify plan.

[Wide Bundles](https://apps.shopify.com/widebundle) aims at stores that want every bundle shape in one install: breaks, sets, deals on the product page. The name is the strategy. [Addly](https://apps.shopify.com/addly?src=ninety9dev) is a wide offer app too, with a rule that matters more than the widget count. Paid prices follow the shop’s Shopify plan, not a thinner product.

A wide app can still be a pile of widgets. The useful version is a short list of offers that share one discount and one preview. Shoppers can read two offers. They will not read six.

## Coverage is the goal. A shared discount is what makes coverage work.

Wide Bundles competes on range. Merchants install it so they do not have to pick between a quantity break and a classic bundle. That is the right goal. A store that sells kits and also sells "stock up and save" will not stay on a single-purpose app.

Addly's range is the same commercial list, kept on one Shopify discount:

Frequently bought together and standard product bundles. Quantity breaks and volume discounts per variant. Mix and match, build-a-box, and add-ons. Suggestions from purchase history when you would rather start from orders than from a spreadsheet. One live preview for the widget you are about to publish. Thirteen languages and Shopify Markets, so the offer is not a screenshot of the home country. Analytics, so a wide menu does not become a permanent experiment.

Free includes those offer types — up to three Basic offers. Unlimited and Advanced are from $15 / $20/mo, priced by Shopify plan. The same offer can reappear in [Addy](/apps/addy.html). Addly is rated 4.9 from 111 reviews and is Built for Shopify.

International is where wide widgets get sloppy. A tier written in one currency, shown to a shopper in another, feels like a mistake even when the maths is right. Markets and translations are how the offer travels with the customer.

## Addly and Wide Bundles

| Feature | Addly | Wide Bundles |
| --- | --- | --- |
| Price | Free plan, then from $15/mo by Shopify plan | Free on development stores, then $14.99, $19.99 and $24.99 |
| Volume price | A different break per variant | Quantity breaks or bundles on the product |
| How pairs are chosen | From your order history | Not included |
| Shopper-built sets | Mix and match and build-a-box | Bundles |
| Add-ons | Warranty, gift wrap, shipping protection | Not included |
| Languages | 13, plus Shopify Markets | Not included |
| Before it goes live | Live preview on your theme | Widget styling |
| Which offer to keep | Click-through, conversion and revenue per offer | Not included |

## Turn on two shapes, not the whole menu

Pick Addly when you want the wide set and a free plan you can try before you pay. Use a quantity break on replenishment products and a bundle on products with a real companion. Leave the rest off until those two are earning.

How the shapes differ is the subject of [Shopify product bundles](/blog/shopify-product-bundles-guide.html). A product page with every widget is a page with no offer.

### FAQ

**Which offer types does Addly share with a wide bundle builder?**

Quantity breaks, product bundles, frequently bought together, mix and match, build-a-box and add-ons.

**Can each variant have its own volume price?**

Yes. Volume discounts in Addly can be set per variant.

**Does a higher plan remove features?**

Free includes up to three Basic offers. Unlimited adds unlimited offers, custom design and Markets. Advanced adds AI, bundle discounts and targeting. Paid prices follow your Shopify plan, from $15 / $20/mo.

## Addy vs Amp Slide Cart: Which Shopify Drawer Sells More

URL: https://ninety9.dev/blog/addy-vs-amp-slide-cart.html
Published: 2026-10-10 (updated 2026-10-10)
Category: Cart & Checkout · App: Addy: AI Cart Drawer & Bundles
Reading time: 4 minutes

Amp Slide Cart and Addy both open a Shopify cart after add to cart. See how a drafted drawer, in-cart offers, gifts and a delivery date compare.

The cart is where a one-item order becomes a two-item order. [Amp Slide Cart](https://apps.shopify.com/slide-cart) is built for that moment: a drawer, an extra product, a gift, a shipping bar. [Addy](https://apps.shopify.com/addy-cart-drawer?src=ninety9dev) keeps that job and shortens the part merchants usually stall on. The first cart is drafted from the products you already sell and the way the brand already looks. You edit it. You do not start from a blank column the week a promotion goes live.

Shoppers do not experience your cart as a project. They experience a yes they just made, and a quiet question: is there a reason to add something else before checkout? A clear drawer answers that. A drawer that took a month to configure often never gets the answer live.

## The second item has to be obvious

Most of the margin in a slide cart is the second item, or the third unit of the first one. Amp is aimed at that upsell. Addy puts the same decision in the drawer, with more than one way to make it.

A shopper who added a moisturiser can see the serum people buy with it. A shopper who added one jar can see the price of three. A shopper who is twelve dollars short of free shipping can see the bar move. Those are three different reasons to stay, and they can sit in one cart instead of three apps arguing over the corner of the screen.

Addy includes frequently bought together, volume deals, buy-one-get-one, free gifts and a shipping goal. The gift and the shipping goal can both show progress, so the shopper always knows the next reward. You choose which blocks a product actually needs. A hero SKU with a natural pair wants the pair. A consumable wants the quantity break. Turning every block on for every product is how a drawer becomes a second homepage.

## A delivery date before they leave

A lot of carts tell the shopper the total and then send them to checkout to discover the delivery date. That is a late surprise. Addy can show an estimated delivery date in the drawer, while the shopper can still add, remove, or take the gift.

The date does a simple commercial job. It answers "when does this arrive?" at the moment the order is still flexible. Stores that sell gifts, perishables, or anything with a deadline feel this first. The shopper who needed it by Friday finds out in the cart, and either adds the faster option you offered or checks out knowing the date. They do not have to open a new tab to guess.

## One brand, more than one cart

A store on Shopify Markets is rarely one audience. The French threshold for free shipping is not the US threshold. A wholesale tag should not see the retail gift. Addy can run a different cart for each market and each customer tag, and the rule can apply to a single block. The rest of the drawer stays shared, so you are not rebuilding the whole cart for one country.

You still get a library of more than 40 blocks, custom HTML and CSS when a block is not enough, live preview, translations and the shopper's currency. The drawer loads on the side, so the product page can appear before the cart is ready. That is the practical version of speed: the product is on screen, the cart is there when they tap the bag.

## Addy and Amp Slide Cart

| Feature | Addy | Amp Slide Cart |
| --- | --- | --- |
| Price | Free to install, with the offers below included | Free plan is styling, a timer and Markets. AI upsells, shipping protection and the progress bar start at $29.99 |
| First layout | Drafted from your catalogue and brand, then edited | You design the cart. Agency designs are on the $49.99 plan |
| In the drawer | Upsells, bought-together sets, volume deals, BOGO, gifts and a shipping goal | A progress bar from $29.99. Buy-one-get-one gifts on the $49.99 plan |
| Delivery date | Shown in the drawer, next to the total | Not included |
| Who sees which cart | A different cart, or one block, by Market and by customer tag | Markets and languages |
| When a preset is not enough | 40+ blocks, plus your own HTML and CSS | Brand styling in the editor |
| Shipping protection | Included | On the $29.99 plan |

## Launch it as a merchant, not as a project

Publish one shipping goal, one gift, and one honest recommendation. Then watch which of the three shoppers actually use. Addy gives you the blocks. It does not require you to invent a cart philosophy before Thursday's campaign.

If you are still choosing between a drawer and the theme cart page, read [cart drawer vs cart page](/blog/cart-drawer-vs-cart-page.html) and the [Shopify cart drawer guide](/blog/shopify-cart-drawer-complete-guide.html). When the offer itself should be a bundle, put [Addly](/apps/addly.html) behind the drawer and let Addy present it.

### FAQ

**Is Addy a replacement for Amp Slide Cart?**

Yes, when you want the cart itself to sell. Addy opens a slide cart with upsells, gifts, a shipping goal and a delivery date, and the first layout is drafted for you.

**Can wholesale and retail see different carts?**

Yes. Addy can run a different cart for each market and each customer tag, and a rule can sit on a single block.

**Does Addy cost anything to install?**

Addy is free to install from the Shopify App Store.

## Addy vs iCart: Shopify Cart Drawer Compared

URL: https://ninety9.dev/blog/addy-vs-icart.html
Published: 2026-10-10 (updated 2026-10-10)
Category: Cart & Checkout · App: Addy: AI Cart Drawer & Bundles
Reading time: 4 minutes

iCart and Addy both turn the Shopify cart into a place to grow the order. Compare a drafted drawer, gifts, shipping goals, delivery dates and carts by market.

[iCart](https://apps.shopify.com/icart) became a familiar name because it put the cart programme in one app: the slide-out, the extra product, the gift, the shipping goal. [Addy](https://apps.shopify.com/addy-cart-drawer?src=ninety9dev) is that programme with a shorter first afternoon. The drawer is drafted from your products and your brand. You keep the blocks that match how you sell, and you publish before the season moves on.

A well-known cart app and a cart that is live are different things. The drawer that makes money is the one a merchant can ship this week, then tighten once real adds are coming in.

## The cart is the last calm sales floor

The shopper has already chosen something. The drawer is the last place they are still in your store, still able to add, still able to understand a threshold. iCart is built for that floor. Addy is too, and it assumes you would rather edit a competent cart than assemble one from an empty stack.

What belongs there depends on the catalogue. Apparel often wants a second size or a care product. Beauty wants the next step in the routine. Food wants a larger quantity at a better unit price. Addy can show frequently bought together, a cross-sell, volume pricing, buy-one-get-one and a free gift, with progress so the reward is visible. A free-shipping bar can sit in the same drawer. You are not explaining two widgets that do not know about each other.

More than 40 blocks cover the usual pieces, and custom HTML and CSS cover the piece that is yours alone. Preview it on the theme before it is public. The words can be translated, and prices follow the shopper's currency.

## Tell them when it arrives

Checkout is a bad place to reveal a delivery window. The shopper has already done the work, and a disappointing date is an abandoned payment. Addy can show an estimated delivery date beside the line items. If the date is the problem, they can still change the order. If the date is fine, they check out with one less doubt.

Stores that promise a gift deadline, a subscription start, or a weekend delivery feel the difference immediately. Everyone else still benefits, because "when?" is a universal question and the cart is the natural place to answer it.

## Markets are not one threshold

If you sell in more than one country, one free-shipping number will be wrong somewhere. If logged-in wholesale customers share a theme with retail, one gift will be wrong for somebody. Addy lets you run a cart per market and per customer tag. When only the gift should change, the rule can sit on that block and the rest of the drawer stays put.

The cart stays out of the way while the product page loads. Shoppers came for the product. The drawer earns its place when they open it.

## Addy and iCart

| Feature | Addy | iCart |
| --- | --- | --- |
| Price | Free to install, with no order cap | First 100 orders free, then $9, $19 and $29 a month |
| First layout | Drafted from your catalogue and brand | A sticky cart you configure, with AI recommendations inside it |
| Delivery date | Shown in the drawer | Not included |
| Who sees which cart | A different cart, or one block, by Market and by customer tag | One cart for the store |
| Past the presets | 40+ blocks, plus your own HTML and CSS | A customizable sticky cart |
| Volume pricing | Buy-more-save-more tiers, BOGO and gifts, with no order cap | Volume discounts and BOGO, until the store passes 100 orders |

## Publish the competent version

Ship the draft, remove the blocks that do not match the catalogue, and set one threshold you can defend. A $50 shipping goal that your margin can afford beats a $50 goal you copied from a thread. Addy will show the bar. You still own the number.

Read [how a cart drawer earns the click](/blog/shopify-cart-drawer-complete-guide.html) before you stack rewards. If the threshold logic should live in its own app, [Goalify](/apps/goalify.html) can run the goals while Addy remains the cart.

### FAQ

**Is Addy the same kind of app as iCart?**

Both replace the cart page with a drawer that can upsell. Addy adds a drafted layout, a delivery date in the cart, and cart rules by market and customer tag.

**Can one drawer show shipping progress and a gift?**

Yes. Shipping progress, free gifts, buy-one-get-one and volume deals are blocks in the same drawer.

**What does it cost to start?**

Addy is free to install. You can publish a drawer before you pick a paid plan.

## Addy vs Kaching Cart Drawer for Shopify Upsells

URL: https://ninety9.dev/blog/addy-vs-kaching-cart-drawer.html
Published: 2026-10-10 (updated 2026-10-10)
Category: Cart & Checkout · App: Addy: AI Cart Drawer & Bundles
Reading time: 4 minutes

Kaching Cart Drawer and Addy both sell from a Shopify slide cart. Compare a drafted layout, gifts, quantity offers, delivery dates and carts by market.

[Kaching Cart Drawer](https://apps.shopify.com/cart-upsell) meets the shopper after add to cart and tries to put one more offer in front of them. That is the right moment. The wallet is already open. [Addy](https://apps.shopify.com/addy-cart-drawer?src=ninety9dev) treats that moment as the cart itself: the products, the gift, the shipping goal, the delivery date, and which customer is allowed to see which piece.

A reward that lives in one app and a shipping bar that lives in another is how drawers get slow and inconsistent. The shopper sees two stories. You reconcile two settings screens. One drawer with a clear next step is easier to buy from, and easier to run on a Monday.

## The offer and the cart should be the same place

Kaching's drawer is an upsell surface in a family of upsell apps. Merchants who already think in offers install it so the cart can keep up. Addy starts one step earlier. It reads the catalogue and the brand and drafts a drawer you can actually publish, then leaves every block editable.

Inside that drawer you can show frequently bought together, a cross-sell, a volume price, a buy-one-get-one, a free gift and a free-shipping bar. Progress sits next to the reward, so "you are $18 away" is attached to something they can add. A bar with no product next to it is a number. A bar with a $22 pouch under it is a decision.

There are more than 40 blocks, plus custom HTML and CSS when the brand needs a piece the presets do not cover. Live preview shows the drawer on the store before customers do. Translations and the shopper's currency keep a market from seeing a cart that was clearly written for somewhere else.

## The date is part of the sale

Delivery is one of the last reasons a shopper hesitates, and it usually shows up too late, on the shipping step. Addy can put an estimated delivery date in the cart. The shopper sees it while they can still add the gift or drop a line.

That matters for gifts with a deadline, for replenishment people are timing, and for any store where "how long?" is the question support answers every day. Answer it in the drawer and a share of those questions never get asked.

## The right cart for the right buyer

A retail customer and a wholesale tag are not the same cart. A domestic order and an export order are not the same free-shipping number. Addy can keep a cart per market and per customer tag, and the difference can be a single block. You do not have to clone the entire drawer to hide one gift.

The script stays off to the side of the product page, so the product can paint and the cart can catch up. Shoppers judge the product first. The drawer is there when they open the bag.

## Addy and Kaching Cart Drawer

| Feature | Addy | Kaching Cart Drawer |
| --- | --- | --- |
| Price | Free to install | Free on development stores, then $9.99, $14.99 and $24.99 by order count |
| First layout | Drafted from your catalogue and brand | You build the slide cart |
| Offers in the drawer | Upsells, bought-together sets, volume deals, BOGO, gifts and a shipping goal | Upsell carousel, a shipping bar and a gift bar |
| Delivery date | Shown in the drawer | Not included |
| Who sees which cart | A different cart, or one block, by Market and by customer tag | One slide cart |
| Blocks | 40+, including order notes, a discount field, gift wrap and your own HTML | Trust badges, a timer, payment icons and a shipping-protection toggle |

## What to turn on first

Start with the offer you can explain in one sentence. "Add the pouch, shipping is free." "Three jars, the unit price drops." "Spend $75, the mini is included." Addy can hold all three. A shopper can only read one of them clearly. Pick that one, publish it, and add the second when the first is earning its place.

The merchandising notes are in the [cart drawer guide](/blog/shopify-cart-drawer-complete-guide.html) and in [free gifts with purchase](/blog/free-gift-with-purchase-strategy.html).

### FAQ

**How is Addy different from Kaching Cart Drawer?**

Both are slide carts that can upsell. Addy drafts the first layout from your catalogue, can show a delivery date, and can change the cart by market and customer tag.

**Can the drawer give a free gift?**

Yes. Free gifts, buy-one-get-one and volume deals sit in the drawer with progress toward the reward.

**Can a bundle app feed the drawer?**

Yes. Addly can own the bundle, and Addy can show it again in the cart.

## Addy vs Upcart: Building a Shopify Cart That Upsells

URL: https://ninety9.dev/blog/addy-vs-upcart.html
Published: 2026-10-10 (updated 2026-10-10)
Category: Cart & Checkout · App: Addy: AI Cart Drawer & Bundles
Reading time: 3 minutes

Upcart and Addy both build a Shopify cart drawer. Addy drafts the first cart from your catalogue, then you edit offers, gifts, delivery dates and market rules.

[Upcart](https://apps.shopify.com/upcart-cart-builder) is named for the work: build a cart. The drawer is a canvas. The offers are blocks you place on it. [Addy](https://apps.shopify.com/addy-cart-drawer?src=ninety9dev) agrees with the canvas. It disagrees that the canvas should open empty. The app reads the shop and proposes a drawer that already contains the kind of blocks a cart needs, and you take it from there.

Builders reward people who enjoy layout. They punish people who needed the cart live before a sale. The useful version of a builder is one that lets you publish a competent cart on day one and refine the offers once you can see real behaviour.

## Empty canvases miss campaigns

A cart builder is the right tool when the theme cart cannot hold a recommendation, a gift and a shipping threshold. Upcart sits in that group. You construct the drawer, you choose the offers, you publish.

The risk is the blank page. Every hour spent on a corner radius is an hour the storefront still uses the theme cart, and the theme cart is where second items go to die. Addy spends that first hour on a draft. The draft comes from your products and the look of the brand. You can ignore it and rebuild. Most stores will edit it, which is faster than inventing the stack.

The blocks cover the commercial jobs: frequently bought together, cross-sells, volume prices, buy-one-get-one, free gifts with progress, and a free-shipping bar. There are more than 40 of them. Custom HTML and CSS are there when a preset cannot carry a brand detail. Live preview is how you know the preselected offer is the one you meant.

## Say when the order arrives

A builder that only restyles line items still sends shoppers to checkout to learn the delivery date. Addy can show that date in the drawer. The shopper is still in a place where changing the order is easy. A date they like becomes a reason to finish. A date they do not like becomes a reason to write to you, which is better than a silent exit on the payment step.

Put the date next to the total, not under a tooltip. If you sell anything with a deadline, treat the date as part of the offer.

## Build once, vary it by buyer

Cart builders get copied across a whole store, and then one market is wrong. Addy can keep the shared layout and vary the cart, or one block, by Shopify Market and by customer tag. France can have its own shipping goal. A VIP tag can see a gift the public cart does not. You are building a system of carts, and you are not maintaining five unrelated designs.

Prices follow the shopper's currency. The copy can be translated. The drawer does not hold up the product page while it loads.

## Addy and Upcart

| Feature | Addy | Upcart |
| --- | --- | --- |
| Starting point | A drawer drafted from your catalogue and brand | A cart you assemble |
| Offers | Bought-together sets, cross-sells, volume deals, BOGO, gifts and a shipping goal | The offers you place on the canvas |
| Delivery date | Shown in the drawer | You would have to build that block |
| Who sees which cart | A different cart, or one block, by Market and by customer tag | The cart you designed |
| Past the presets | 40+ blocks, plus your own HTML and CSS | The builder canvas |
| Price | Free to install | The Upcart builder |

## Ship the draft

Use Addy when you want a cart builder that does not begin with a blank drawer. Keep the blocks that match the catalogue. A single hero product needs a different cart from a 200-SKU apparel shop, and the draft gives you a place to start either way.

The design rules live in [cart drawer vs cart page](/blog/cart-drawer-vs-cart-page.html). When the offer is a bundle, put [Addly](/apps/addly.html) behind the drawer and let Addy present it.

### FAQ

**What does Addy give a merchant who wants a cart builder?**

A slide cart, in-cart upsells, quantity deals, gifts, a shipping bar, a delivery date, and separate carts for markets and customer tags. The first layout is generated.

**Can I still design the drawer myself?**

Yes. After the draft you move blocks, add your own HTML and CSS, and preview the cart on the store before it is public.

**Will a market see its own currency?**

Yes. Addy uses the shopper's currency and can be translated, so a market reads the drawer in its own money and language.

## Goalify vs Kai: Shipping Bars, Gifts and the Gap

URL: https://ninety9.dev/blog/goalify-vs-kai-progress-bar.html
Published: 2026-10-10 (updated 2026-10-10)
Category: Shipping & Fulfilment · App: Goalify: Free Shipping Bar PRO
Reading time: 3 minutes

Kai pairs a progress bar with shipping and gifts. Goalify stacks shipping, discounts and gifts, suggests a product to close the gap, and sets thresholds per country.

[Kai](https://apps.shopify.com/progress-bar-shipping-gift) puts shipping and gifts on a progress bar. That pairing is the natural one: spend a bit more, shipping drops, then a gift unlocks. [Goalify](https://apps.shopify.com/goalify?src=ninety9dev) keeps the pair and adds the middle reward stores actually run, a discount, plus a product aimed at whatever is still missing.

A gift with no path to it is a picture. The bar is the path. The recommended product is the step.

## Shipping and a gift are the rewards shoppers already believe

Kai's category is specific. The bar is free shipping and a gift, which are the two rewards shoppers already trust. Vague "rewards" bars train people to ignore them. Specific ones get read.

The missing piece on many of these bars is the discount the email already promised, and the product that would finish the goal. If the bar says $16 short and the recommendations are $80 jackets, the bar is decoration. Goalify suggests from order history, biased toward closing the gap. A $19 add-on next to a $16 gap is a fair ask. An $80 jacket is a different shop.

Stacking is a sequence. Shipping at $50, 10% at $75, a gift at $100. The shopper sees the next one, then the one after it once they cross. Qualification can be value, quantity, or specific products. A gift can depend on what is already in the cart.

## Countries and proof

One threshold for every country makes the domestic offer too high or the export offer too low. Goalify keeps a threshold per country. The bar can sit in the cart and as a block you embed on the theme. You can test copy and thresholds, and read the result.

Free under 10 monthly orders, then $3.99, $7.99, $11.99. Built for Shopify, rated 5.0 from 42 reviews.

## Goalify and Kai

| Feature | Goalify | Kai |
| --- | --- | --- |
| Price | Free under 10 orders, then $3.99, $7.99 and $11.99 | Starts at $5.99. No free plan. Pro is $7.99. Growth is $9.99 |
| AI | AI upsells on the free plan | AI recommendations on the $7.99 plan |
| Tests | Compare thresholds and copy | Not included |
| Countries | A different amount per country, from $3.99 | Multi-market and languages on the $5.99 plan |
| Cart drawer | Drawer, product page and cart page from $3.99 | The cart drawer is on the $9.99 plan |
| Rewards | Unlimited goals in one sequence | Discount tiers, a gift and free shipping |

## The gift is the last step

Goalify is the better bar when the gift is the last step in a sequence you can explain. Write that sequence using [free gift with purchase](/blog/free-gift-with-purchase-strategy.html) before you set the numbers. A gift that costs more than the extra margin is a popular bar and a bad week.

If the cart is [Addy](/apps/addy.html), keep the goal next to the line items so the path and the products are in one place.

### FAQ

**Does Goalify offer a free gift the way Kai does?**

Yes. A gift can be its own goal, stacked with free shipping and a discount. Rules can look at cart value, quantity or the products already in the cart.

**What does the suggestion do?**

It recommends products from order history that help the shopper reach the next goal.

**Is there a free plan?**

Goalify is free up to 10 orders a month, then $3.99, $7.99 or $11.99. It is Built for Shopify with a 5.0 rating from 42 reviews.

## Goalify vs Progressify: Cart Goals That Can Stack

URL: https://ninety9.dev/blog/goalify-vs-progressify.html
Published: 2026-10-10 (updated 2026-10-10)
Category: Shipping & Fulfilment · App: Goalify: Free Shipping Bar PRO
Reading time: 3 minutes

Progressify draws a Shopify progress bar. Goalify stacks free shipping, discounts and gifts, with country thresholds, products that close the gap, and tests.

[Progressify](https://apps.shopify.com/progressify) is a progress bar for Shopify incentives. The category is crowded because the widget is small and the lift is real. [Goalify](https://apps.shopify.com/goalify?src=ninety9dev) assumes you will outgrow a single fill, and it is designed so the second and third goals do not need a second app.

Small widgets get installed and forgotten. The ones worth keeping are the ones you can change by country and prove with a test. A bar you cannot edit for an export market will be wrong for a share of your orders, quietly, all quarter.

## A bar is a programme, even when it starts as one line

Progressify represents the modern version of the bar: a dedicated app, a goal, a visual fill. Merchants pick it when the theme's announcement bar cannot do the maths. The cart value changes. The message should change with it.

Goalify can be that single shipping line on day one. The discount and the gift are available when the calendar asks for them. You do not migrate. You add a threshold.

The programme can require cart value, quantity, or specific products. Suggestions from order history aim at the shortfall, so the bar and the product agree. Thresholds differ by country. Placement is a cart bar or a theme block, including the product page. Tests and analytics sit on the goal, so a new number is a decision and not a hunch.

Pricing stays modest as you add goals: free to 10 orders, then $3.99, $7.99 and $11.99. Built for Shopify, with a 5.0 rating from 42 reviews.

Keep the message to the next goal only. A thin bar has room for one promise. The promise after that appears when they cross this one.

## Goalify and Progressify

| Feature | Goalify | Progressify |
| --- | --- | --- |
| Price | Free under 10 orders, then from $3.99 | $5 a month. No free plan |
| Rewards | Free shipping, an order discount and a gift, stacked | A tiered bar and a gift with purchase |
| What they should add | The product from your orders that closes the gap | Product upsells |
| Tests | Compare thresholds and copy | Not included |
| Countries | A different threshold per country | Markets integration |
| Rules | Cart value, quantity, products or collections | The progress bar |

## The next promotion should be a setting

Choose Goalify if you want the progress-bar category and you want the next promotion to be a setting. Progressify's job, a clear incentive bar, is the job. Goalify holds that job when the incentive changes shape through the year.

The [free shipping bar guide](/blog/free-shipping-progress-bar-guide.html) is the setup checklist. If you use [Addy](/apps/addy.html), put the goal in the drawer so the reward and the products share a surface.

### FAQ

**Can Goalify be only a shipping bar?**

Yes. You can run a single free-shipping goal. You can also add a discount and a gift without installing another bar.

**How do product-specific goals work?**

A goal can require specific products, a quantity, or a cart value. Gift rules can follow what is already in the cart.

**Where can the bar appear?**

In the cart, and as a block elsewhere on the theme. If the cart is Addy's drawer, the goal still belongs next to the line items.

## Goalify vs Turbo Progress Bar on Shopify

URL: https://ninety9.dev/blog/goalify-vs-turbo-progress-bar.html
Published: 2026-10-10 (updated 2026-10-10)
Category: Shipping & Fulfilment · App: Goalify: Free Shipping Bar PRO
Reading time: 3 minutes

Turbo Progress Bar and Goalify both push carts toward a reward. Compare stacked shipping, discount and gift goals, country thresholds and products that close the gap.

[Turbo Progress Bar](https://apps.shopify.com/turbo-progress-bar) is a fast cart bar: show the goal, fill it, get the shopper to add something. [Goalify](https://apps.shopify.com/goalify?src=ninety9dev) is built for stores that run more than one goal at a time, and for stores where the domestic minimum and the export minimum are not the same number.

A visible bar is table stakes. The content of the goal is the strategy. Free shipping is the reward most stores reach for first, because shoppers already understand it. The gift and the discount you already emailed are the rewards the bar should be able to say next.

## One bar, a sequence of rewards

Turbo-style bars optimise for a lightweight progress indicator. The cart should feel closer to a reward after every add. That feeling is correct. Shipping-only bars leave money on the table when the brand also has a gift at a higher threshold, or a discount that should appear before the gift.

Goalify stacks free shipping, an order discount and a free gift in one programme. Qualify by cart value, by quantity, or by specific products. Gift rules can follow what was bought, including a buy-one-get-one style reward. When the shopper is short, suggestions from order history aim at the remaining amount. The product is chosen to finish the goal.

The bar can sit in the cart and as a block on the product page or the header. You can test a threshold. Analytics show whether the new number earned the change.

A $50 domestic goal and a $120 export goal can both be true. Goalify keeps a threshold per country, so an international cart is not judged by the home minimum. The message stays short. Shoppers do not read a paragraph inside a thin bar. They read the next reward.

Free under 10 orders a month, then $3.99, $7.99 and $11.99. Built for Shopify, 5.0 from 42 reviews.

## Goalify and Turbo

| Feature | Goalify | Turbo |
| --- | --- | --- |
| Rewards in one bar | Free shipping, then an order discount, then a gift | Free shipping, gifts and discounts |
| What they should add | The product from your orders that closes the remaining amount | Not included |
| Countries | A different threshold per country | Not included |
| Tests | Compare thresholds and copy, with analytics | Not included |
| Rules | Cart value, quantity, or specific products and collections | A live bar on the cart, the drawer and the product page |
| Gift behaviour | Auto-add, with control over which products qualify | Gifts auto-add |

## Set the sequence before you set the colour

Pick Goalify when the promotion calendar has more than one reward, or more than one country. Write the order down: shipping, then the discount, then the gift. Test one threshold change at a time. The colour of the bar is the last decision, and the least important one.

Set the sequence with the [progress bar guide](/blog/free-shipping-progress-bar-guide.html). If the cart is a drawer, the goal still belongs next to the line items in [Addy](/apps/addy.html).

### FAQ

**How does Goalify compare with Turbo Progress Bar?**

Both draw a reward bar. Goalify lets you stack shipping, discount and gift goals, set rules by value, quantity or product, and suggest items from order history to close the gap.

**Can I put the bar on a product page?**

Yes. Goalify ships as a cart bar and as a block you can place elsewhere on the theme.

**What does Goalify cost?**

Free up to 10 orders a month. Paid plans are $3.99, $7.99 and $11.99. The app is rated 5.0 from 42 reviews.

## Goalify vs Yaco: Free Shipping Bars and Cart Goals

URL: https://ninety9.dev/blog/goalify-vs-yaco-progress-bar.html
Published: 2026-10-10 (updated 2026-10-10)
Category: Shipping & Fulfilment · App: Goalify: Free Shipping Bar PRO
Reading time: 3 minutes

Yaco is a progress bar that nudges the cart toward a reward. Goalify stacks free shipping, a discount and a gift, suggests what to add, and sets a threshold per country.

A progress bar has one job: show the distance between this cart and a reward. [Yaco](https://apps.shopify.com/upsellprogressbar) is that bar, pointed at an upsell. [Goalify](https://apps.shopify.com/goalify?src=ninety9dev) keeps the bar and lets the reward be free shipping, money off, a gift, or all three in a sequence.

One reward is easy to explain. Three rewards, in order, are how a $48 cart becomes a $72 cart. The shopper always sees the next finish line, and only the next one.

## A number is a nudge. A product closes the gap.

Yaco sits in the upsell-progress category. The bar fills as the cart grows, and the empty part of the bar is the pitch. Merchants use it because "you are $18 away" beats a generic row of related products.

The bar still needs something to add. "Add $18" with a grid of $80 jackets is a taunt. Goalify can suggest a product from your own order history that helps close the gap. The pouch that costs $22, next to a bar that needs $18, is a decision a shopper can make. The suggestion is there to finish the goal, which is a different job from filling a recommendation slot.

Rules can look at cart value, item quantity, or specific products. A gift can depend on what is already in the cart, including a buy-one-get-one style reward. The bar can live on the cart and as a block you place elsewhere on the theme.

## Stack the promotion you already promised

Shipping, a discount and a gift often exist in the same month because marketing already promised all three. If the bar can only say one thing, the other two become banners. Banners do not fill. Goalify stacks them: free shipping, then an order discount, then a gift. Each threshold crossed reveals the next.

Write the sequence so it can be read in a 28-pixel bar. Shipping at $50, 10% at $75, a gift at $100 is readable. Three unrelated badges are not. You can test a threshold and read the analytics, so the second number has to earn its place.

Country thresholds keep the sequence honest. A $50 domestic goal and a $120 export goal should not share a label. Goalify stores a threshold per country.

The app is free under 10 orders a month, then $3.99, $7.99 and $11.99. It is Built for Shopify, rated 5.0 from 42 reviews.

## Goalify and Yaco

| Feature | Goalify | Yaco |
| --- | --- | --- |
| Free plan | Shipping, a discount and a gift can run together, under 10 orders a month | 14 days of every tier, then 1 active tier |
| Price after that | From $3.99. Unlimited orders at $11.99 | Premium is $9.90. Testing is $9.95 now and $14.90 after the beta |
| What they should add | The product from your orders that closes the gap | Product recommendations |
| Countries | A different free-shipping amount per country | The bar can be targeted by market |
| Tests | Compare a threshold and the copy | A/B testing is on the Optimize plan |
| Rules | Cart value, item count, or specific products and collections | Targeting, markets and translations |

## Run a sequence, not a pile of badges

Use Goalify when the bar should survive more than one promotion. A store that only ever offers free shipping over one amount can live on a simple bar. A store that rotates a gift and a shipping threshold wants them in order, with the country rule stored on the goal.

The mechanics are in the [free shipping progress bar guide](/blog/free-shipping-progress-bar-guide.html) and [free gift with purchase](/blog/free-gift-with-purchase-strategy.html). Put the bar in the [Addy](/apps/addy.html) drawer if the cart itself is a slide-out.

### FAQ

**Is Goalify a Yaco alternative?**

Yes. Goalify is a free-shipping and cart-goal bar. It can run shipping, a discount and a gift at the same time, with rules on cart value, quantity or specific products.

**Can the threshold change by country?**

Yes. Goalify supports a threshold per country, so a domestic free-shipping minimum can differ from an international one.

**Can I test the bar?**

Yes. You can test the bar and read the results. Goalify is Built for Shopify, rated 5.0 from 42 reviews.

## Monet vs BA Popup Upsell: Offers at the Moment of Intent

URL: https://ninety9.dev/blog/monet-vs-ba-popup-upsell.html
Published: 2026-10-10 (updated 2026-10-10)
Category: Bundles & Upsells · App: Monet • AI Popup Bundle Addons
Reading time: 3 minutes

BA Popup Upsell and Monet both show Shopify upsell popups. Monet can open on add to cart, at the start of checkout, and on exit, with product suggestions, free.

[BA Popup Upsell](https://apps.shopify.com/not-another-popup-upsell) appears when the shopper is already in a buying motion, usually around add to cart. That is the right family of popup. It continues a click they just made. [Monet](https://apps.shopify.com/monet?src=ninety9dev) keeps that standard and gives the offer three honest moments: the add, the start of checkout, and the exit.

A popup on a timer is an interruption. A popup after an add is a continuation. A popup as checkout starts is a last relevant ask. A popup as they leave is a smaller reason to stay. Those are different offers, and they should not share one creative.

## One trigger catches one kind of shopper

BA's category is the post-click upsell. The shopper did something commercial. The popup offers a bundle or a related product before the cart is the only surface. Add to cart catches the enthusiast. It misses the shopper who reached checkout and stalled, and the shopper whose pointer is already leaving.

Monet lets you assign the moment per offer.

A bundle belongs on the add. The shopper just committed to a hero product. The set is a second yes of the same size. A smaller add-on belongs when checkout starts. They have finished browsing. One product, one price, one button. Exit is for the offer you would rather make than lose the session, and it should be shorter and cheaper than the bundle you showed on the add.

Templates cover a bundle, a cross-sell and an add-on. Product suggestions can come from the app, so you are not maintaining the grid by hand as the season changes. Discounts, buy-one-get-one, volume offers and a countdown are there when the offer should expire. Geography and customer tags keep a wholesale tag away from a retail deal, and keep a domestic-only gift out of an export session.

You can read views, the add-to-cart rate and conversion. Monet works with cart drawers, so the popup and the drawer do not have to fight over the same click. The app is free to install.

## Monet and BA Popup Upsell

| Feature | Monet | BA Popup |
| --- | --- | --- |
| Price | Free, with no cap on added revenue | Free on development stores. Then $7.99, $14.99 and $29.99, capping added revenue at $100, $500 or $2,500 |
| Moments | Add to cart, checkout starting, and exit | Add to cart, exit, a timer, or hesitation |
| What the popup sells | A bundle, a cross-sell, or an add-on | Single product, multi-product, bundle and quantity breaks |
| Which product | AI recommendations, included free | AI recommendations on the paid plans |
| Offer maths | Percent, flat amount, BOGO, volume and a countdown | Discounts and bundles |
| Who sees it | Country and customer tag | Filter by product tag |
| Beside a drawer | Built to run with a cart drawer | Not included |

## One offer per moment

Run Monet when the upsell popup should meet shoppers in more than one honest moment. Design the add-to-cart version with [add to cart popup upsells](/blog/add-to-cart-popup-upsell.html), and the leaving version with [exit-intent popups](/blog/exit-intent-popups-shopify.html). A popup with four products is a second storefront. Put one product in the frame.

### FAQ

**When does a Monet popup show?**

When a shopper adds to cart, when checkout starts, or when they move to leave. You choose the moment per offer.

**What can the popup sell?**

A bundle, a cross-sell or an add-on. The offer can include a discount, buy-one-get-one, a volume deal or a countdown.

**Does Monet have a monthly fee?**

Monet is free to install.

## Monet vs EA Upsell Popup for Shopify Cross-Sells

URL: https://ninety9.dev/blog/monet-vs-ea-upsell-popup.html
Published: 2026-10-10 (updated 2026-10-10)
Category: Bundles & Upsells · App: Monet • AI Popup Bundle Addons
Reading time: 2 minutes

EA Upsell Popup and Monet both cross-sell in a Shopify popup. Compare add to cart, checkout and exit, product suggestions, and a free install.

[EA Upsell Popup](https://apps.shopify.com/ea-upsell-popups-cross-sell) is a cross-sell in a popup. The shopper is looking at one product. The popup introduces the product that should ride along. [Monet](https://apps.shopify.com/monet?src=ninety9dev) uses that cross-sell and decides when it is allowed to appear: after the add, as checkout begins, or when the session is about to end.

Cross-sells fail when they are early. Offering a case before anyone has committed to the phone is a guess. Offering it after the phone is in the cart is a service.

## A companion product needs a commitment first

EA's job is the related product, accepted in one click. It is the right pattern for accessories, refills and the second step in a routine. The popup has to be specific. A grid of bestsellers is a collection page with a close button. Name the companion and the reason. "Add the refill, it ships with the bottle" is a cross-sell.

Timing decides whether that specific product feels helpful. The same case, offered on exit to someone who never added the phone, is noise. Monet separates the moments.

After add to cart, the companion belongs with the thing they just chose. As checkout starts, a single add-on with a plain price is easier to accept than it was on the product page, where they were still judging the hero. On exit, use a smaller offer than the one you showed on the add. The shopper is already halfway out.

Layouts cover cross-sell, bundle and add-on. Suggestions can fill the frame, or you can pin the SKU yourself. A discount, buy-one-get-one, a volume offer or a countdown can sit on it. Country and customer-tag rules decide who is eligible. Views, add-to-cart rate and conversion tell you if the companion is real. Monet works beside a cart drawer. It is free to install.

## Monet and EA

| Feature | Monet | EA Bundles & Upsell |
| --- | --- | --- |
| Price | Free | Free on development stores, then $9.99 a month |
| Moments | Add to cart, the start of checkout, and exit, each with its own offer | Upsell popups and checkout offers |
| Exit | A smaller offer when they move to leave | Not included |
| Which product | AI picks from purchase patterns | The products in the offer |
| Add-ons | A template for a warranty, gift wrap or protection | Bundles, BOGO and quantity breaks |
| Who sees it | Country and customer tag | Not included |
| What you measure | Views, add to cart and conversion per popup | Not included |

## Write the reason in the headline

Choose Monet when the companion is real and the moment might be the cart, the checkout, or the exit. Read [add to cart popup upsells](/blog/add-to-cart-popup-upsell.html) before you write the line. If you cannot name why the second product belongs, it is not a cross-sell yet.

### FAQ

**Can Monet do a cross-sell popup?**

Yes. Cross-sell is one of the three layouts, next to bundle and add-on. The moment can be add to cart, the start of checkout, or exit.

**How are products chosen?**

You can place them yourself or use Monet's product suggestions.

**Will it clash with a cart drawer?**

Monet is built to work with cart drawers, including a drawer that opens on the same add-to-cart click.

## Monet vs Kaching Upsell Popup: Product Offers at Intent

URL: https://ninety9.dev/blog/monet-vs-kaching-popup.html
Published: 2026-10-10 (updated 2026-10-10)
Category: Bundles & Upsells · App: Monet • AI Popup Bundle Addons
Reading time: 2 minutes

Kaching's upsell popup and Monet both offer products in a Shopify overlay. Monet opens on add to cart, checkout and exit, with product suggestions, free.

[Kaching Upsell & Email Popup](https://apps.shopify.com/popup-upsell) sits in a suite merchants already know for bundles and carts. The popup is another surface for an offer. [Monet](https://apps.shopify.com/monet?src=ninety9dev) is that surface on its own, and it is strict about when the offer may appear.

A suite is convenient when you want one vendor for everything. A dedicated upsell popup is the better tool when the moment is the part you came to configure. Add to cart, the start of checkout, and exit are three configurations. They are three different shoppers.

## The product offer is the whole job

Kaching's popup extends an offer brand. If the bundles already live in that family, a matching popup feels tidy. Monet's job is narrower, and the narrowness is the point. The overlay exists to add a SKU.

It opens on add to cart, when checkout starts, or on exit. The layout is a bundle, a cross-sell or an add-on. The product can be a suggestion, so the frame stays relevant as the season changes, or a product you pin for a campaign. The offer can carry a discount, buy-one-get-one, a volume break or a countdown. Country and customer-tag rules decide who qualifies. Views, add-to-cart rate and conversion are the numbers that matter, because the success is another line item.

Monet is designed to sit beside a cart drawer. The drawer holds the cart. The popup makes the ask, then gets out of the way. It is free to install.

You can run it next to [Addly](/apps/addly.html) when the bundle itself is an Addly offer and the popup is only the invitation. The popup does not have to be the system of record for the discount. It has to be the moment.

## Monet and Kaching's popup

| Feature | Monet | Kaching Upsell Popup |
| --- | --- | --- |
| Price | Free | Free on development stores, then $4.99, $12.99 and $24.99 |
| Moments | Add to cart, checkout starting, and exit | Popups on the product page |
| Which product | AI recommendations | The products you place in the popup |
| Shape of the offer | Bundle, cross-sell or add-on | Upsell and cross-sell |
| Offer maths | Percent, flat amount, BOGO, volume and a countdown | Not included |
| Who sees it | Country and customer tag, included free | Advanced targeting on the paid plans |
| Beside a drawer | Built to run with a cart drawer | A product-page popup |

## Measure it on added revenue

Choose Monet when the offer you want is a product, and you want a moment for checkout and exit as well as the add. [Exit intent](/blog/exit-intent-popups-shopify.html) and [add to cart upsells](/blog/add-to-cart-popup-upsell.html) are the two writes-ups to read before you copy one offer onto every moment. The exit version should be smaller. The add-to-cart version can be the set.

### FAQ

**How is Monet different from Kaching's popup?**

Monet shows a bundle, cross-sell or add-on when the shopper adds to cart, starts checkout or exits. The product can come from a suggestion.

**Can I discount the upsell?**

Yes. Monet supports discounts, buy-one-get-one, volume offers and countdowns.

**Does Monet replace a cart drawer?**

The popup is the offer. The drawer is the cart. Monet is built to work beside a drawer.

## Monet vs PopupGenius: A Popup That Adds a Product

URL: https://ninety9.dev/blog/monet-vs-popupgenius.html
Published: 2026-10-10 (updated 2026-10-10)
Category: Bundles & Upsells · App: Monet • AI Popup Bundle Addons
Reading time: 2 minutes

PopupGenius covers promotional popups. Monet stays on the product offer: add to cart, checkout and exit, with suggestions and a free install.

[PopupGenius](https://apps.shopify.com/popupgenius) comes from the broad popup tradition: announcements, offers, the overlay a promotion calendar needs. [Monet](https://apps.shopify.com/monet?src=ninety9dev) is narrower on purpose. It pops up to sell another product, at the moment the shopper adds, starts checkout, or leaves.

A promotion can greet a landing. A cross-sell should wait until there is a product in mind. Those are different successes. A store that mixes them in one overlay usually gets a close click.

## The only acceptable result is another line item

PopupGenius can carry a promotion. That is useful for a seasonal message. It is a weak shape for "this specific SKU belongs with the one you just added," because a product decision needs a picture, a price and one action.

Monet sells that decision.

A bundle, a cross-sell or an add-on. Opened by add to cart, the start of checkout, or exit. Filled by a product suggestion or by a SKU you choose. Priced with a discount, buy-one-get-one, a volume deal or a countdown. Limited by country or customer tag. Measured by views, add-to-cart rate and conversion. It sits beside a cart drawer, and it stays quiet until there is intent. It is free.

If the campaign is "10% off the site this weekend," this is the wrong app. Keep that message where you already run promotions. If the campaign is "the pouch is $18 and completes free shipping," Monet is the right one. [Goalify](/apps/goalify.html) can own the shipping maths. Monet can own the product ask.

## Monet and PopupGenius

| Feature | Monet | PopupGenius |
| --- | --- | --- |
| Price | Free. No view cap and no credit cap | Free plan is 1 popup, 500 views and 20 AI credits. Then $9.99, $19.99 and $39.99 |
| Moments | Add to cart, checkout starting, and exit | Popups |
| Shape of the offer | Bundle, cross-sell or add-on | Upsell and cross-sell popups |
| Who sees it | Country and customer tag, included | Advanced targeting starts at $9.99 |
| Offer maths | Percent, flat amount, BOGO, volume and a countdown | Not included |
| What you measure | Views, add to cart and conversion per popup | Not included |

## Put one product in the frame

Install Monet when the overlay has to add a SKU. The pattern is in [add to cart popup upsells](/blog/add-to-cart-popup-upsell.html). A popup that needs a scroll is a page. One product, one reason, one button.

### FAQ

**Is Monet a general popup builder?**

Monet shows product upsells: bundles, cross-sells and add-ons. It opens on add to cart, when checkout starts, or on exit.

**Can Monet target a segment?**

Yes. Offers can target by country and by customer tag.

**How much does Monet cost?**

It is free to install.

## Monet vs Uplift: Shopify Upsell Popups After the Click

URL: https://ninety9.dev/blog/monet-vs-uplift-popups.html
Published: 2026-10-10 (updated 2026-10-10)
Category: Bundles & Upsells · App: Monet • AI Popup Bundle Addons
Reading time: 2 minutes

Uplift and Monet are Shopify upsell popups. Monet covers add to cart, the start of checkout and exit, with product suggestions, discounts and a free install.

[Uplift](https://apps.shopify.com/uplift-1) is named for the outcome: a higher order, offered in a popup after the shopper has leaned in. [Monet](https://apps.shopify.com/monet?src=ninety9dev) is aimed at that same lift, and it treats the moment as part of the offer. An add-to-cart bundle and an exit add-on are both upsells. They are not the same screen.

The first yes is the product. The popup asks for a second yes while the shopper is still in the flow. That is a better ask than a greeting on the landing page. Checkout stalls and exits are where a lot of Shopify revenue is actually decided, and a single trigger leaves those sessions alone.

## The second yes needs a shape

A bundle is a second yes to a set. A cross-sell is a second yes to a partner product. An add-on is a second yes to something small. One generic grid makes all three look like the same collection. Monet gives each shape a layout, and each layout a moment.

On add to cart, match the size of the yes they just made. A set, or the obvious companion. As checkout starts, ask for less. They are done browsing. One add-on, a plain price, a single button. On exit, ask for less again. A reason to stay should be cheaper and shorter than the offer you were proud of on the product page.

Suggestions can choose the product as the catalogue changes. You can still pin a SKU for a campaign. Discounts, buy-one-get-one, volume and a countdown cover the maths of the offer. Country and customer-tag rules keep the wrong shopper out of it. Views, add-to-cart rate and conversion tell you which moment is paying for itself. The popup works with a cart drawer. Monet is free.

## Monet and Uplift

| Feature | Monet | Uplift |
| --- | --- | --- |
| Moments | Add to cart, checkout starting, and exit | Add to cart |
| Which product | AI picks from purchase patterns | Complementary items in the popup |
| Shape of the offer | Bundle, cross-sell or add-on | An upsell or cross-sell popup |
| Offer maths | Percent, flat amount, BOGO, volume and a countdown | The upsell |
| Who sees it | Country and customer tag | Not included |
| Languages | Translations and the shopper's currency | English |
| Price | Free | Free plan, plus a $9.99 pay-what-you-want plan |

## Follow the step they are actually on

Use Monet when the lift should follow the shopper's step. [Exit-intent popups](/blog/exit-intent-popups-shopify.html) covers the leaving case. Keep that offer cheaper and shorter than the add-to-cart bundle. The shopper is already halfway out. Meeting them with the same four-product grid is how popups get closed on sight.

### FAQ

**What moments can Monet use?**

Add to cart, the start of checkout, and exit. Each offer can use the moment that matches it.

**Can the popup include a discount?**

Yes. Offers can include a discount, buy-one-get-one, a volume break or a countdown.

**Is Monet free?**

Yes. Monet is free to install.

## Reviso vs AE Order Editing: Customer Edits Before the Order Ships

URL: https://ninety9.dev/blog/reviso-vs-ae-order-editor.html
Published: 2026-10-10 (updated 2026-10-10)
Category: Retention & Post-Purchase · App: Reviso: Order editing & Upsell
Reading time: 3 minutes

AE: Order Editing & Upsell is a paid Shopify editor from about $39 a month. Reviso covers the same customer edits, cancellation saves and product suggestions, free.

[AE: Order Editing & Upsell](https://apps.shopify.com/account-editor) puts the editor in the customer account and pairs it with an upsell. Paid plans start around $39 a month. [Reviso](https://apps.shopify.com/reviso-order-editor?src=ninety9dev) puts the same pair on the order. The customer fixes it. The screen can still sell. There is no monthly fee to begin.

Account editing is the right home for the tool. The customer is logged in. The order is theirs. A second login sends people back to email, which is the queue you were trying to shrink.

## The account page is where they already look

AE's name says account editor because that is where Shopify customers expect to manage an order. The upsell is there because the account page on most themes is a dead end: status, tracking, nothing to buy. A relevant product on that page is revenue with no extra ad spend.

Reviso lives in that same account, on a screen that looks like Shopify.

Customers can change the address, the items, the quantities, the variants and the shipping method. The controls close at fulfilment, so the account cannot rewrite a shipped order. Country, tag and order rules cover accounts that should not self-serve. A cancellation can be met with a discount or a gift. Suggestions and recently viewed products are the upsell. Recently viewed is the honest one. They looked at those products in this shop. A suggestion can add a second idea from similar orders.

Returns, exchanges and store credit stay in the same app. Reviso is free to install.

A customer who can fix a size without emailing you will forgive a quiet account page. A customer who cannot fix the size will not care how clever the upsell was. Open the edit first. Add the product once the edit is trusted.

## Reviso and AE

| Feature | Reviso | AE: Order Editing & Upsell |
| --- | --- | --- |
| Price | Free | From $39 a month, then $99, $179 and $249 |
| What they can change | Address, items, quantities, variants and shipping method | Shipping address |
| If they try to cancel | A discount or a free gift | Not included |
| Another product | AI suggestions and recently viewed | One-click upsell |
| After delivery | Returns, exchanges and store credit | Not included |
| Who can edit | Country, customer tag and order rules | Not included |
| Cutoff | Edits close at fulfilment | Not stated |
| Where they find it | Customer accounts | The account editor |

## Prove the ticket savings before you add a fee

Choose Reviso when you want account editing on a store that is still proving the ticket savings. Open the fields from the [order editing guide](/blog/shopify-order-editing-guide.html). Add the upsell after the edit itself is something customers can find in one look.

### FAQ

**Is Reviso an alternative to AE Order Editing?**

Yes. Customers can edit the order in a Shopify-style account experience until it is fulfilled, and they can see product suggestions and recently viewed products.

**What does AE cost compared with Reviso?**

AE's paid plans start at about $39 a month. Reviso is free to install.

**Can Reviso answer a cancellation?**

It can offer a discount or a gift when the customer tries to cancel, subject to the rules you set.

## Reviso vs Editly: Order Editing Without the Ticket

URL: https://ninety9.dev/blog/reviso-vs-editly.html
Published: 2026-10-10 (updated 2026-10-10)
Category: Retention & Post-Purchase · App: Reviso: Order editing & Upsell
Reading time: 2 minutes

Editly and Reviso let Shopify buyers edit orders themselves. Reviso adds cancellation saves, product suggestions, returns and store credit, free to install.

[Editly](https://apps.shopify.com/editly-order-editing) is a self-serve editor. The customer fixes the order so you do not have to. [Reviso](https://apps.shopify.com/reviso-order-editor?src=ninety9dev) starts from that same inbox problem and keeps going through the cancel request and the return.

Support teams adopt editors to delete a ticket type. They abandon them when the editor cannot do the change customers actually request, or when it still allows a change the warehouse can no longer honour. The useful editor does the common edits, stops at fulfilment, and has an answer for cancel.

## "Can you change the address" is the expensive cheap ticket

The customer is motivated. The agent is copying fields. An editor on the order, inside customer accounts, removes the copy-paste. The screen should look like Shopify. A branded detour that asks for the order number again sends people back to email, which is the ticket you were trying to delete.

The ticket types next to the address are "cancel this" and "I want the other variant." Reviso covers address, line items, quantities, variants and shipping method. The controls disappear after fulfilment, so a printed pick list is not rewritten by a customer at 11pm.

A cancel attempt can be met with a discount or a gift. The customer who accepts 10% off never becomes a refund ticket. On the same screen, suggestions and recently viewed products give a warm buyer something to add. Recently viewed is what they already considered. The suggestion is the second idea. Neither should bury the address field.

Rules by country, tag and order keep the risky orders with your team. Returns, exchanges and store credit cover the relationship after delivery. Store credit is how a return can become the next order. Reviso is free to install.

## Reviso and Editly

| Feature | Reviso | Editly |
| --- | --- | --- |
| What they can change | Address, items, quantities, variants and shipping method | Address, variant, quantity and cancel |
| Shipping method | Yes | Not included |
| If they try to cancel | A discount or a free gift, instead of losing the order | Cancel the order |
| Another product | AI suggestions and recently viewed | Not included |
| Who can edit | Country, customer tag and order rules | Not included |
| After delivery | Returns, exchanges and store credit | Not included |
| Cutoff | Edits close when the order is fulfilled | Not stated |
| Price | Free, inside customer accounts | The Editly app |

## Move one ticket type first

Choose Reviso when the ticket you want to delete is the edit, the cancel and the simple return. [Self-serve order edits vs tickets](/blog/self-serve-order-edits-vs-tickets.html) is the rollout. Start with the address. Open quantities once the warehouse agrees on the cutoff.

### FAQ

**Is Reviso an Editly alternative?**

Yes. Customers edit the order from a Shopify-style screen, including in customer accounts, until fulfilment.

**Can Reviso handle a return as well as an edit?**

Yes. Returns, exchanges and store credit are part of Reviso, for the part of the relationship that happens after delivery.

**How much is Reviso?**

Free to install.

## Reviso vs Oat: Shopify Order Editing for Customers

URL: https://ninety9.dev/blog/reviso-vs-oat-order-editing.html
Published: 2026-10-10 (updated 2026-10-10)
Category: Retention & Post-Purchase · App: Reviso: Order editing & Upsell
Reading time: 2 minutes

Oat and Reviso both offer Shopify order editing. Reviso lets buyers change address, items and shipping until fulfilment, with cancellation saves and product suggestions, free.

[Oat](https://apps.shopify.com/oat-order-editing) gives the customer an editor for the Shopify order they just placed. The problem is universal: checkout is finished, the address is wrong, the variant is wrong, and the customer does not want to email anyone. [Reviso](https://apps.shopify.com/reviso-order-editor?src=ninety9dev) is that editor, with rules for which orders qualify and a response when the click is "cancel."

Universal problems still have exceptions. A preorder, a wholesale tag, or an international shipment may need a person. The app should know that before the customer does.

## Simple for the customer, strict for the orders staff still own

Oat represents the straightforward editor. Find the order, change the field, save. Merchants want the smallest possible explanation for the customer. A screen that looks like Shopify helps, because it does not feel like a form from somewhere else.

Straightforward editors get risky at the boundary. Fulfilled. Partially fulfilled. Tagged do-not-edit. If the boundary is a help article, customers will cross it. If the boundary is the app, they will not see the control. Reviso hides the edit once the order is fulfilled.

Until then, the customer can change the address, the items, the quantity, the variant and the shipping method. Orders can be included or left alone using country, tag and order rules. A cancel attempt can be met with a discount or a gift. Suggestions and recently viewed products can sit on the same screen, without becoming the only thing on it. The edit is the task.

Returns, exchanges and store credit cover the order after that window. The interface lives in customer accounts. Reviso is free to install.

## Reviso and Oat

| Feature | Reviso | Oat |
| --- | --- | --- |
| What they can change | Address, items, quantities, variants and shipping method | Self-serve order editing |
| If they try to cancel | A discount or a free gift | Not described |
| Another product | AI suggestions and recently viewed | Not described |
| Who can edit | Country, customer tag and order rules | Not described |
| After delivery | Returns, exchanges and store credit | Not described |
| Cutoff | Edits close at fulfilment | Not described |
| Where they find it | Customer accounts, in a screen that looks like Shopify | The editor |
| Price | Free | The Oat app |

## One sentence the warehouse would sign

Pick Reviso when the editor has to be simple for the customer and strict for the orders your team still owns. Read the [order editing guide](/blog/shopify-order-editing-guide.html) and decide the boundary in one sentence. That sentence is the configuration.

### FAQ

**What can a customer change in Reviso?**

Shipping address, items, quantities, variants and shipping method, until the order is fulfilled.

**Can some orders be excluded?**

Yes. Rules can use country, customer tag and order conditions.

**Is there an offer on the edit screen?**

The edit screen can show product suggestions and products the customer recently viewed.

## Reviso vs Order Editing & Upsell: Self-Serve Edits Before Fulfilment

URL: https://ninety9.dev/blog/reviso-vs-order-editing-upsell.html
Published: 2026-10-10 (updated 2026-10-10)
Category: Retention & Post-Purchase · App: Reviso: Order editing & Upsell
Reading time: 3 minutes

Order Editing & Upsell and Reviso both let Shopify customers fix an order. Reviso answers a cancellation with a discount or a gift, and suggests products on the edit screen. Free.

[Order Editing & Upsell](https://apps.shopify.com/order-editing-1) covers the two jobs that appear the hour after checkout: fix the order, and sell one more thing while the customer is still paying attention. [Reviso](https://apps.shopify.com/reviso-order-editor?src=ninety9dev) is built for those jobs, with a clear stop when the order ships, and a specific answer when the customer hits cancel.

Edits after fulfilment are how support tickets and warehouse mistakes get invented. Reviso closes the edit window when the order is fulfilled. The customer can fix what is still cheap to fix. The warehouse is not asked to rewrite a label that has already been printed.

## Fix it, or save it

The thank-you page and the customer account are a second storefront. The buyer can correct a mistake. The merchant can show another product. Both are cheaper than an inbox. The cancel button is the third job, and it usually waits until the refunds report.

A customer who meant "I picked the wrong size" should not walk the same path as a customer who meant "I changed my mind." Reviso can meet a cancellation with a discount or a gift. Some people take it. The order stays. The people who still cancel were not going to be saved by a slower form.

On the edit screen itself, Reviso can show suggestions and products the customer recently viewed. Recently viewed is the honest recommendation. They already looked at those products in this shop. A suggestion can sit beside that. The edit remains the task. A customer fixing an apartment number should still be able to find the address field first.

## Who is allowed to touch the order

Rules can use country, customer tag and the order itself. A wholesale tag, a preorder, or a shipment you do not want rewritten can stay with your team. Everyone else gets a screen that looks like Shopify, including inside customer accounts, so it does not feel like a third-party form asking for the order number twice.

After delivery, returns, exchanges and store credit stay in the same app. The relationship does not jump to a different brand of tool the day the parcel moves. Reviso is free to install.

## Reviso and Order Editing & Upsell

| Feature | Reviso | Order Editing & Upsell |
| --- | --- | --- |
| What they can change | Address, items, quantities, variants and shipping method | Address or quantities, from a thank-you block |
| Variants | Swap size or colour before it ships | Not included |
| Shipping method | Yes | Not included |
| If they try to cancel | A discount or a free gift | Not included |
| Another product | AI suggestions and recently viewed | Not included |
| Who can edit | Country, customer tag and order rules | Not included |
| After delivery | Returns, exchanges and store credit | Not included |
| Price | Free, and edits close at fulfilment | The thank-you page block |

## Write down what may change

Use Reviso when editing and the post-purchase offer are both in scope, and cancellations should be a conversation. The policy side is in the [Shopify order editing guide](/blog/shopify-order-editing-guide.html) and [self-serve edits vs tickets](/blog/self-serve-order-edits-vs-tickets.html). Open the fields your warehouse will still honour. Leave payment captures with your team.

### FAQ

**Can customers edit a Shopify order with Reviso?**

Yes. They can change the address, line items, quantities, variants and shipping method until the order is fulfilled.

**What happens if they try to cancel?**

Reviso can offer a discount or a free gift before the order is lost.

**Does Reviso have a monthly fee?**

Reviso is free to install.

## Reviso vs OrderEditing.com: Self-Serve Edits on a Store Budget

URL: https://ninety9.dev/blog/reviso-vs-orderediting.html
Published: 2026-10-10 (updated 2026-10-10)
Category: Retention & Post-Purchase · App: Reviso: Order editing & Upsell
Reading time: 2 minutes

OrderEditing.com is a Shopify order-editing suite from about $99 a month. Reviso covers address, items, cancellation saves, suggestions and returns, and it is free to install.

[OrderEditing.com](https://apps.shopify.com/order-editing) is the suite end of Shopify order editing. Public plans start around $99 a month. [Reviso](https://apps.shopify.com/reviso-order-editor?src=ninety9dev) is the customer job inside that category: fix the order yourself, before it ships, without a ticket.

A suite earns a high price when a company needs a programme of modules and a team that lives in them. A store that needs customers to change an address needs a screen and a cutoff. The features people actually use are repetitive. Change the address. Swap the variant. Add one more unit. Stop the cancellation if a small offer would do it. Show something they already viewed.

## The edits that delete tickets

Reviso includes those edits at no monthly fee.

Customers can change the address, the line items, the quantities, the variants and the shipping method. The window closes at fulfilment, so a shipped order is not rewritten from the account page. A cancellation can be met with a discount or a free gift. The edit screen can show suggestions and recently viewed products. Rules by country, customer tag and order conditions keep exceptions with your team. The screen looks like Shopify and lives in customer accounts. Returns, exchanges and store credit stay on the same product.

You can put Reviso on a store this week and judge it on saved tickets. The platform fee does not start before the first edit.

## Reviso and OrderEditing.com

| Feature | Reviso | OrderEditing.com |
| --- | --- | --- |
| Price | Free | From $99 a month, then $199, $399 and $599 by order band |
| What they can change | Address, items, quantities, variants and shipping method | Self-serve order editing |
| If they try to cancel | A discount or a free gift | Not included |
| Another product | AI suggestions and recently viewed | One-click upsell |
| After delivery | Returns, exchanges and store credit | Not included |
| Who can edit | Country, customer tag and order rules | Not included |
| Cutoff | Edits close at fulfilment | Not stated |

## Start free, open the fields that matter

Switch to Reviso when you want customers editing orders on a store that should not be paying suite prices for address changes. For a first editor, free and pre-fulfilment is the practical default.

The [Shopify order editing guide](/blog/shopify-order-editing-guide.html) lists the fields worth opening. Open those. Leave internal notes and payment captures with staff.

### FAQ

**Is Reviso an alternative to OrderEditing.com?**

Yes, for self-serve Shopify order edits before fulfilment, plus a cancellation offer, recommendations on the edit screen, returns, exchanges and store credit.

**Why do stores compare the price?**

OrderEditing.com's public plans start around $99 a month. Reviso is free to install, with the edit window, the rules and the offer screen included.

**Do edits stay open after fulfilment?**

Reviso closes customer edits once the order is fulfilled. A change after that stays with your team.

## Reviso vs Vista: Order Editing, Returns and the Cancel Button

URL: https://ninety9.dev/blog/reviso-vs-vista-order-editing.html
Published: 2026-10-10 (updated 2026-10-10)
Category: Retention & Post-Purchase · App: Reviso: Order editing & Upsell
Reading time: 2 minutes

Vista and Reviso handle Shopify order edits. Reviso pairs the editor with cancellation saves, product suggestions, returns, exchanges and store credit, free.

[Vista](https://apps.shopify.com/vista-order-editing) lets the buyer correct a Shopify order without a ticket. [Reviso](https://apps.shopify.com/reviso-order-editor?src=ninety9dev) treats editing as the first chapter. The cancel attempt is the second. The return, the exchange and the store credit are the third.

Stores that buy an editor and a separate returns app often describe the same customer twice. The order is the object. One surface can follow it, from the wrong address this afternoon to the exchange next week.

## Customers experience one order, not two departments

Vista's category solves the correction before the parcel moves. Address, the item, the quantity. That is the highest-frequency request, and it deserves a dedicated flow.

Customers do not experience their problem as "before shipment" or "after shipment." They experience it as the order. Reviso keeps both chapters on one product. Before fulfilment they can change the address, the items, the quantities, the variants and the shipping method. When the order is fulfilled, those controls close. After delivery, returns, exchanges and store credit are the path.

A cancellation in the middle can be met with a discount or a gift. Suggestions and recently viewed items can appear on the edit screen for customers who are still in a buying mood. The address field stays findable. Audience rules use country, customer tag and order conditions, so the orders your team must touch never show the button.

The screen looks like Shopify and lives in customer accounts. Reviso is free to install.

Store credit is the quiet retention tool. A return that can become credit is a return that can become the next order. Keeping it with the editor means the two flows agree about what the customer is owed.

## Reviso and Vista

| Feature | Reviso | Vista |
| --- | --- | --- |
| Price | Free, with the edits below included | Free for 30 edits. Pro is $30. Premium is $100 |
| If they try to cancel | A discount or a free gift | Cancel the order |
| Another product | AI suggestions and recently viewed, included | One-click upsells on the $30 plan |
| After delivery | Returns, exchanges and store credit, included | Store credit on the $30 plan |
| Who can edit | Country, tag and order rules, included | Rule-based editing on the $30 plan |
| What they can change | Address, items, quantities, variants and shipping method | Address, contact, products, variants and delivery method |
| Cutoff | Edits close at fulfilment | A timeframe you set |

## Launch the field change, then the save

Use Reviso when you want the editing outcome and you also want the cancel and the return on that surface. The field change is the first thing to launch. The save offer is the second, because it pays for the project the first week someone accepts it.

[Self-serve edits versus tickets](/blog/self-serve-order-edits-vs-tickets.html) helps you sequence the launch so the warehouse is not surprised by a return flow they have not seen.

### FAQ

**Does Reviso include returns?**

Yes. Besides edits before fulfilment, Reviso supports returns, exchanges and store credit.

**Can Reviso save a cancellation?**

It can offer a discount or a free gift when the customer starts to cancel.

**Where does the customer edit?**

On a Shopify-style screen, including customer accounts, subject to country, tag and order rules.

## Free Shopify AI SEO Audit — Check If Models Can Read Your Store

URL: https://ninety9.dev/blog/free-shopify-ai-seo-audit.html
Published: 2026-09-09 (updated 2026-09-21)
Category: SEO & AI
Reading time: 6 minutes

Run a free Shopify AI SEO audit on any public page. See schema gaps, blocked AI bots and missing llms.txt before you rewrite another product description.

You do not need another paid “AI SEO” retainer to learn if your Shopify store is readable to models. You need a free Shopify AI SEO audit that reads the public page and returns a punch list you can staff. Open the [ChatGPT SEO check for Shopify stores](/chatgpt-seo/), paste any storefront URL, and fix schema gaps, blocked AI bots and a missing llms.txt before you rewrite another product description.

## What a free Shopify AI SEO audit should be

It should read the live page. It should not ask for collaborator access. It should not hide the findings behind a sales call. Focus on structured facts, crawler access and llms.txt — not a vanity “AI score” nobody can verify.

The public check on ninety9.dev is free and rate-limited. No credit card. It names what is missing so you or your developer can fix the theme, SEO app or robots.txt. It will not edit the theme for you.

Agencies may use it only on stores they are authorised to check. Merchants can opt out with a meta tag. The CRO audit tag (`content="no"` or `content="no,delete"`) also stops this check.

## Why “AI SEO” audits fail merchants

Agencies ship 40-page decks that mix Core Web Vitals, backlinks and “write for ChatGPT” fluff. You leave with homework and no single next click.

A useful free Shopify AI SEO audit is shorter: can a model fetch this URL, and are the facts on the page marked up so it does not guess? Keep Google Search Console for indexing and queries. This check does not replace it.

If you also care about the buy button, that is a different pass — the [CRO Audit](/cro-audit/) looks at what stops the sale on a product page. Do not mix the two punch lists in one ticket.

## What to check before you rewrite copy

Rewriting descriptions when the product has no Product JSON-LD is theatre. Unblocking GPTBot when the page is noindex is theatre. Publishing llms.txt while Organization markup is missing is incomplete.

Order of work for most stores:

1. Indexable page (no accidental noindex)
2. Consistent name / title / OG
3. Structured data for **that** page type
4. robots.txt allows the AI crawlers you care about
5. Optional llms.txt

Fix the page type you pasted: product markup for products, WebSite or Organization for the homepage. A green homepage does not prove the PDP is clean.

## How to run the free check

1. Open the [ChatGPT SEO check for Shopify stores](/chatgpt-seo/).
2. Paste yourstore.com or any Shopify page. No login. https:// is optional.
3. If the store is password-protected, paste the storefront password when asked.
4. Read the fails top to bottom. Each row is a merchant-facing outcome: “price missing in markup,” “GPTBot blocked,” “no llms.txt.”
5. Copy reds into your tracker with the URL and date.
6. Ship the theme or robots change. Re-paste the same URL.
7. Use the ask-assistant buttons and compare the answer to the live page.

Full click-path: [how to run the Shopify SEO & AI Audit](/blog/how-to-run-shopify-seo-ai-audit.html). For what the tool is and is not, see [what the ChatGPT SEO check actually is](/blog/what-is-chatgpt-seo-check-shopify.html).

Worked example: you are about to rewrite 40 product descriptions. You audit one bestseller first. Offer fails and GPTBot is Disallowed. You stop the copy sprint, unblock the crawler, restore Offer, re-audit, then rewrite. The descriptions now sit on a page a model can actually quote.

## What “good enough” looks like

You do not need a perfect score to ship. You need the page type’s essentials:

- **Product:** name, image, price, availability
- **Homepage:** shop identity and a way into the catalogue
- **robots.txt:** does not silence the bots you care about
- **llms.txt:** ideally present and useful, not empty fluff

Schedule optional rows (missing llms.txt, extra FAQ markup) behind the gates. Discovery without readable markup is still a hobby.

## What you should walk away with

A useful free audit ends in a staffed list, not a feeling. You should have:

- Four URLs checked (home, collection, product, policy)
- Reds copied into tickets with an owner
- A crawler policy written in one paragraph (allow or deny GPTBot and the others on purpose)
- A date to re-run after the theme or robots change ships

Optional: a short llms.txt draft sitting with marketing until `/llms.txt` is live.

You should not walk away with a promised “AI ranking,” a collaborator request, or a 40-page deck. If a vendor will not show you the live-page fails before the contract, they are selling anxiety.

## Common mistakes

- Paying for a retainer before a free public-page pass
- Auditing a preview theme you will not publish
- Treating the list as a citation rank
- Letting an agency run it on stores they do not have permission to check
- Rewriting all product copy while Offer markup and robots.txt are still red

After the list is green enough to ship, ask ChatGPT about the same product URL. If the answer is still wrong, you have a staleness or third-party-source problem — but you have already removed the excuse that your own page was unreadable.

Run the free audit once before the next content sprint. Paste the homepage and a bestseller, ticket the reds, and only then rewrite — discovery without readable markup is still a hobby.

### FAQ

**Is the Shopify AI SEO audit free forever?**

The public check on ninety9.dev is free and rate-limited. No credit card. Use it on the URLs you are authorised to check; merchants can opt out with a meta tag. The CRO audit tag (including content="no,delete") also stops this check.

**Will it fix my theme for me?**

No. It names what is missing so you or your developer can fix the theme, SEO app or robots.txt. Copy failing rows into a ticket; re-run the same URL after you ship.

**Does it replace Google Search Console?**

No. Keep Search Console for indexing and queries. This check is for AI-readable markup and crawler rules on the URL you paste.

**Can agencies use the free audit on client stores?**

Only on stores you are authorised to check. Merchants can opt out with a meta tag (readiness-specific, or the CRO audit no / no,delete tag). Treat it as a public-page review, not a backdoor into admin.

**What is a free Shopify AI SEO audit?**

It is a public-page pass/fail of whether models can fetch and understand a live Shopify URL: structured data for that page type, AI crawler rules in robots.txt, and optional llms.txt. It should not require collaborator access or a paid retainer to learn the basics.

**Which URL should I audit first?**

Paste the homepage for shop identity, then a bestseller for price and availability markup. Add a collection and a policy page before you rewrite copy. Each page type has different essentials.

**What does “good enough” look like?**

You do not need a perfect score to ship. You need the page type’s essentials: a product with name, image, price and availability; a homepage with shop identity; robots that do not silence the bots you care about; and ideally an llms.txt that points models at your best pages.

## What the ChatGPT SEO Check for Shopify Stores Actually Is

URL: https://ninety9.dev/blog/what-is-chatgpt-seo-check-shopify.html
Published: 2026-09-09 (updated 2026-09-21)
Category: SEO & AI
Reading time: 6 minutes

A free public-page check of schema, robots.txt and llms.txt — so you know if ChatGPT can read your Shopify store. Not a citation rank, not an admin login.

Merchants keep asking whether ChatGPT can “see” their catalogue. The useful answer is not a rumour about rankings — it is whether a live Shopify page exposes clear facts, allows the right crawlers, and publishes an optional llms.txt. That is what the [ChatGPT SEO check for Shopify stores](/chatgpt-seo/) (the SEO & AI Audit in the nav) is for: a free public-page check, not a citation score and not an admin login.

## What is the ChatGPT SEO check?

It is a readability audit of one live URL. You paste a Shopify homepage, collection, product, blog post or store page. The check reads public HTML, robots.txt and llms.txt, then returns a pass/fail list in merchant language.

It answers a quieter question than “get me ranked in ChatGPT.” Can a model fetch this page, and are the facts on it labelled so the model does not have to guess?

Step-by-step paste-and-read: [how to run the Shopify SEO & AI Audit](/blog/how-to-run-shopify-seo-ai-audit.html).

## What merchants get wrong about “ChatGPT SEO”

Most merchants hear “get found in ChatGPT” and buy a content rewrite. The quieter problem is simpler: the page ChatGPT would fetch has no clear product name in structured data, blocks GPTBot in robots.txt, or never published an llms.txt.

Rewriting descriptions while Offer markup is empty is theatre. Publishing blog posts while the homepage has no shop identity is theatre. The ChatGPT SEO check answers the quieter question first. Paste a URL. See what a model can read. Then ask ChatGPT yourself.

## What it is not

It is not a Shopify admin login. It does not install an app. It does not see checkout, orders or customers.

It is not a measure of how often ChatGPT already mentions your brand. Nobody outside OpenAI can promise that from a public crawl. We cannot see citations in ChatGPT, Claude, Gemini or Perplexity.

It is not a classic SEO PDF of 80 title-tag notes. Titles matter for Google; this check focuses on whether the page is *legible* to answer engines and crawlers that honour robots and structured data.

It is not the [CRO Audit](/cro-audit/). That looks at what stops the sale on a product page. This check looks at whether a model can understand the URL you pasted. Most fixes here are theme or SEO setup — Organization markup, robots rules, llms.txt, Open Graph. Apps are optional. It will not always recommend a Ninety9 app.

## What you paste

Homepage, collection, product, blog index, blog post, or a store page such as About. You do not need a product URL. The checks change with the page type — a product needs price and availability in markup; a homepage needs shop identity and catalogue links.

Password-protected stores work. Use the password shoppers type under Online Store → Preferences, not your Shopify login. Details: [password-protected Shopify audits](/blog/password-protected-shopify-ai-audit.html).

https:// is optional. Paste the exact path you care about so you are scoring that template.

## What you get back

A short pass/fail list: consistent names, canonical, Open Graph, descriptions, images in structured data, Organization or WebSite context, BreadcrumbList where it helps, indexability, whether robots.txt blocks GPTBot / ClaudeBot / PerplexityBot / Google-Extended, and whether llms.txt exists.

When the list is done, buttons open ChatGPT, Claude, Gemini or Perplexity in *your* browser with a short prompt about that URL. That is how you compare the model’s answer to the live catalogue — the tool does not call those APIs to score mentions.

Worked example: you paste a bestseller. Names disagree, Offer fails, GPTBot is allowed, llms.txt is missing. You align the product name, restore Offer in the theme, schedule llms.txt for later, and click Ask ChatGPT. If it still quotes an old blog price, you have a third-party staleness problem — but your PDP is no longer the excuse.

## How it fits next to Search Console and CRO

Keep Google Search Console for queries, coverage and inspections. The ChatGPT SEO check does not report impressions or click-through. It tells you whether the HTML on one URL is labelled clearly and whether AI crawlers are allowed.

Keep the CRO Audit for add-to-cart friction. A page can convert and still be unreadable to a model; a page can be perfectly marked up and still lose the sale. Staff them as two tickets.

Typical afternoon: homepage + bestseller in the SEO & AI Audit, same bestseller in the CRO Audit if the product page is where money happens, then one Search Console inspection on the URLs you just un-noindexed.

## When to run it (and when not to)

Run it before a theme update, after an SEO app install, before you scale ads on a collection, and on go-live day when the password drops. Re-run the same URLs so you can see what broke.

Do not use it as a substitute for Google Search Console. Do not expect it to edit the theme. Do not treat a green list as a promise that ChatGPT will recommend you.

If paid ads already work and the buy button is fine, this is the next free afternoon: make the same pages readable to models. If the shop is still a password page, you can still run a staging check — just do not skip the public re-run.

Start with the SEO & AI Audit on the homepage and one bestseller. Readability first — citations if you earn them.

### FAQ

**Does a high score mean ChatGPT recommends my store?**

No. We cannot see citations in ChatGPT, Claude, Gemini or Perplexity. We only read public HTML, robots.txt and llms.txt. A strong list means the page is readable, not that you are already mentioned.

**Is this the same as the CRO Audit?**

No. The CRO Audit looks at what stops the sale on a product page. This check looks at whether a model can understand the URL you pasted. Run both if you care about conversion and AI readability; they do not replace each other.

**Do I need a product URL for the ChatGPT SEO check?**

No. Paste the homepage, a collection, a product, a blog post or any store page. We check that URL. Checks change with page type — a product needs price and availability in markup; a homepage needs shop identity.

**Will it always recommend a Ninety9 app?**

No. Most fixes are theme or SEO setup — Organization markup, robots rules, llms.txt, Open Graph. Apps are optional.

**What is the ChatGPT SEO check for Shopify stores?**

It is a free public-page SEO & AI Audit: paste a live Shopify URL and see whether structured data, crawler rules and llms.txt make that page readable to answer engines. It is not an admin login and not a citation rank.

**Can I run it on a password-protected Shopify store?**

Yes. Use the password shoppers type under Online Store → Preferences, not your Shopify login. Treat the result as a staging review until the store is public, then re-run.

**What do I get after I paste a URL?**

A short pass/fail list covering names, canonical, Open Graph, descriptions, images in structured data, Organization or WebSite context, BreadcrumbList where it helps, indexability, AI bot blocks in robots.txt, and whether llms.txt exists. Then buttons open ChatGPT, Claude, Gemini or Perplexity in your browser.

## Can ChatGPT Read My Shopify Store? How to Check in Minutes

URL: https://ninety9.dev/blog/can-chatgpt-read-my-shopify-store.html
Published: 2026-09-08 (updated 2026-09-21)
Category: SEO & AI
Reading time: 6 minutes

Can ChatGPT read your Shopify store? Paste a public URL into the free SEO & AI Audit, then ask ChatGPT the same page yourself.

ChatGPT can read your Shopify store if three things are true: the page is public and not marked noindex, robots.txt does not disallow OpenAI's crawlers, and the facts on the page — name, price, availability, shop identity — are exposed in structured data rather than buried in theme HTML. You can check all three in minutes by pasting a public URL into the free SEO & AI Audit, then asking ChatGPT about the same URL and comparing the answer to reality.

## What does "readable by ChatGPT" actually mean?

For a merchant, readability has two layers. The first is fetchability: can a crawler or a user-triggered fetch load the page at all? Password protection, a noindex tag or a robots.txt Disallow all say no. The second is legibility: once the HTML is loaded, can a model find the product name, price, currency, stock status and the shop's identity without guessing from a soup of divs and app scripts?

Structured data — Product, Offer, Organization and WebSite JSON-LD — is how a page answers the second question. A visible price in a theme block is not the same as a price in an Offer that a model can parse with confidence.

## Why does it matter for a Shopify store?

Shoppers increasingly ask assistants "which brand ships to Ireland" or "is this candle vegan" before they ever open your site. If the assistant cannot fetch the page, you are absent. If it can fetch but cannot parse, it may quote an old price, the wrong variant or a competitor's terms. Neither outcome shows up in Google Search Console, which is why merchants often discover the problem only when a customer says "ChatGPT told me it was cheaper".

## Three reasons ChatGPT "cannot see" your store

**Blocked.** robots.txt turns away GPTBot or related OpenAI agents. Many stores inherit this from a copied "security" snippet or an SEO app preset — see [GPTBot and robots.txt on Shopify](/blog/gptbot-robots-txt-shopify.html).

**Hidden.** The page carries a noindex tag, is still behind the storefront password, or is an unlisted product that was never meant to be found.

**Ambiguous.** The theme shows a price, but there is no Offer in structured data, or two SEO apps emit conflicting Product blocks. The model either invents a value or skips the page as unreliable.

| Symptom you notice | Likely cause | Where to fix it |
|---|---|---|
| ChatGPT says it cannot access the page | robots.txt Disallow or password | robots.txt.liquid; Online Store → Preferences |
| ChatGPT describes the store but no products | Products noindex or no Product schema | SEO app settings; theme JSON-LD |
| ChatGPT quotes a wrong price or currency | Offer markup missing or mismatched | Theme Product schema; duplicate apps |
| ChatGPT uses an old product name | og:title and structured name disagree with H1 | Theme meta tags |

## How to check in five minutes

1. Open the [ChatGPT SEO check for Shopify stores](/chatgpt-seo/). No login is needed.
2. Paste your homepage URL and submit. This checks shop identity, robots.txt and llms.txt.
3. Paste your top product URL and submit. This checks offer clarity and product markup.
4. Note any row that fails on both runs — that is a theme-level problem, not a one-off.
5. Use the "ask ChatGPT" button and compare its answer to your real catalogue: price, stock, shipping countries.

If step 5 returns a confident wrong answer, go back to step 4. Confident wrong answers almost always trace to ambiguous markup, not to the model being contrary.

## A worked example

Say you sell a £29 ceramic mug and ChatGPT tells a shopper it costs £24 and ships free worldwide. You run the audit. The product page fails "price missing in markup" and the homepage fails "GPTBot blocked". The £24 was the launch price on a third-party listing that the model could reach; your own page was never fetched, and even if it had been, no Offer told the model the current price.

Fixing both rows — one robots.txt edit and one theme schema fix — gives the model a reason to fetch your page and a price it can trust. That is the whole mechanism.

## Common mistakes when checking

- Testing while logged into Shopify admin, which shows you pages a public bot cannot see.
- Checking only the homepage. The homepage almost never carries the price problem.
- Assuming a good Google ranking means AI bots are allowed. Googlebot and GPTBot are separate user agents with separate rules.
- Re-asking ChatGPT immediately after a fix. Give crawlers time to refetch, and confirm the markup change shipped by viewing the page source.
- Treating a green audit as a recommendation guarantee. Readable is the entry ticket, not the prize.

## What to tell your developer

Copy this into a ticket: "Make Product and Organization JSON-LD match the on-page name and price. Do not Disallow GPTBot unless we decided to. Add /llms.txt pointing at our best collection and policies." That is enough for a competent theme developer to scope the work, and the audit gives them a before-and-after check.

## When a readability check is not the answer

If your store is deliberately private, wholesale-only behind a password, or you have chosen to keep AI crawlers out for legal reasons, a red row is the correct result — document the decision and move on. And if the page is already readable but the product still does not convert, that is a conversion problem, not a discovery problem; the [CRO Audit](/cro-audit/) is the tool for that question.

Stop debating prompts. Check whether the store is readable, then ask.

### FAQ

**Can ChatGPT read my Shopify store?**

Yes, if the page is public, not marked noindex, and robots.txt does not disallow OpenAI's crawlers. Whether it reads the page accurately depends on structured data: a product page with clear name, price and availability markup is far less likely to be misquoted.

**I asked ChatGPT and it invented my price. Why?**

Usually the live page has no clear Offer markup, or the bot never fetched a fresh copy because it was blocked or the page was cached elsewhere. Fix structured data and crawler access first, then ask again.

**Does Shopify block ChatGPT by default?**

Do not assume either way. Themes and apps vary, and many stores inherit robots.txt rules from SEO or security apps that disallow GPTBot. Open yourstore.com/robots.txt and read it.

**Should I allow every AI bot on my Shopify store?**

That is a policy choice. The audit shows which of GPTBot, ClaudeBot, PerplexityBot and Google-Extended are blocked so you can decide deliberately rather than inherit a template's rule.

**Is a password-protected Shopify store invisible to ChatGPT?**

To the public web, yes. Nothing behind the storefront password can be fetched until you publish the store or share the password for a one-time check.

**How do I test whether ChatGPT can read a specific product page?**

Paste the product URL into the SEO & AI Audit and fix any failing rows. Then paste the same URL into a ChatGPT prompt, ask for the price, availability and shipping terms, and compare the answer to the page.

## llms.txt for Shopify Stores — What Merchants Should Publish

URL: https://ninety9.dev/blog/shopify-llms-txt-guide.html
Published: 2026-09-08 (updated 2026-09-21)
Category: SEO & AI
Reading time: 5 minutes

llms.txt tells AI systems which Shopify pages matter. Learn what to include, where to host it, and how the SEO & AI Audit checks the live file.

llms.txt is the short map at your domain root that tells AI systems which Shopify pages represent your brand. It is optional, increasingly expected, and easy to leave blank forever. Publish a handful of durable URLs — heroes, collections, policies — at `https://yourstore.com/llms.txt`, then confirm the file is live with the [ChatGPT SEO check for Shopify stores](/chatgpt-seo/).

## What is llms.txt?

llms.txt is a plain-text (often Markdown-like) file at the website root. Its job is to point language models at the public pages that matter: who you are, what you sell, how you ship and return, and a few flagship products.

It is not a sitemap of every SKU. It is not robots.txt. It is not structured data. Think of it as a receptionist’s note: “If you are a model, start here.”

Shopify does not generate a useful llms.txt automatically for every theme. If `/llms.txt` 404s or returns the theme’s 404 HTML, you have not published one yet.

## Why merchants care about llms.txt

Answer engines look for a machine-readable map when one exists. Without one, they lean on whatever HTML they fetched — often a promo homepage that says nothing durable about your catalogue.

A short file will not make ChatGPT recommend you. No file guarantees citations. It reduces guesswork about which URLs represent the brand, especially when the homepage is a campaign landing page that changes weekly.

Publish llms.txt **after** pages are [indexable](/blog/noindex-killing-ai-discovery-shopify.html) and [crawlers you want are allowed](/blog/gptbot-robots-txt-shopify.html). A map to noindex URLs is a map to nowhere.

## What to put in the file

Keep it short:

- One-line brand description (“We sell [category] for [who], from [where].”)
- Links to two or three best collections
- About
- Shipping and returns
- A few hero products that are in stock and meant to be public

Plain Markdown-style links are fine. Skip affiliate spam, password pages, discount-code dumps and every out-of-stock SKU. Catalogue schema covers the long tail; llms.txt highlights the spine.

Worked example:

```
# Northloom
Wool home textiles, woven in the UK.

- [Winter throws](https://northloom.example/collections/throws)
- [About](https://northloom.example/pages/about)
- [Shipping](https://northloom.example/policies/shipping-policy)
- [Returns](https://northloom.example/policies/refund-policy)
- [Flagship throw](https://northloom.example/products/merino-throw)
```

(Use your real domain. This is a shape, not a live store.)

## How Shopify stores usually publish it

What matters to crawlers and to the audit is that `https://yourstore.com/llms.txt` returns useful text, not a 404 and not a full theme page.

Common options:

1. **Theme template routed to `/llms.txt`** — a small template or page that serves text/plain (your developer’s usual path).
2. **Files / CDN URL plus a redirect** from `/llms.txt` to the hosted file.
3. **Hosting on the apex via your DNS / host** if the shop is on a custom domain and you can drop a root file there.

There is no single admin toggle labelled “llms.txt” on every plan and theme. If `/llms.txt` shows your theme’s 404, the route is not set up yet.

## How the SEO & AI Audit treats it

The ChatGPT SEO check fetches llms.txt and marks whether a real file is up. Missing file = optional fail you can schedule. Empty marketing fluff = still weak.

Pair the file with robots that allow the bots you want. A perfect map behind `Disallow: /` for GPTBot will not be fetched by that bot.

Re-run the audit after you publish. Open `/llms.txt` yourself in the browser and confirm you see the brand line and links, not HTML chrome.

## How to maintain the file

Treat llms.txt like a nav, not like a sitemap. Review it when you:

- Launch or retire a flagship product
- Change shipping countries or the returns window
- Replace the About story
- Move from a campaign homepage back to a catalogue homepage

A quarterly pass is enough for most shops. If marketing changes the homepage weekly, the file is how you keep a durable path to policies and heroes.

Do not auto-dump the whole catalogue. Out-of-stock and seasonal leftovers make the map look unmaintained. Three collections and three products that you would put on a trade-show one-pager is the right size.

When you add a URL, open it in incognito first. If it is noindex, password-gated or a tracking redirect, leave it out.

## Common mistakes and when not to bother yet

- Listing every SKU, including drafts and sold-out leftovers
- Linking to password-gated or noindex URLs
- Replacing Product schema with a map (“the file mentions the product, so markup can wait”)
- Publishing a slogan with no URLs
- Treating llms.txt as a ChatGPT ranking hack
- Hosting the file on a CDN path that never redirects from `/llms.txt`

If the store is still behind a password, wait until go-live — or draft the file now and publish when the gate drops. If Offer markup is missing on bestsellers, fix [product schema](/blog/shopify-product-schema-for-ai.html) first; the map is the second mile.

After publish, fetch `https://yourstore.com/llms.txt` on a phone network (or an incognito window) so you are not looking at a cached 404 from your own browser. Then re-run the SEO & AI Audit.

If the response is HTML with your header and footer, you served a theme page, not a map. The route still needs a text file (or a redirect to one). Crawlers that expected a short list of links will not treat a styled 404 as llms.txt.

Publish a short llms.txt this week. Then re-run the SEO & AI Audit to confirm the file is live — a map, not a manifesto.

### FAQ

**Is llms.txt required for Shopify?**

No. It is optional. Structured data and open robots rules matter more. llms.txt helps models prioritise which URLs represent your brand when they fetch the domain.

**Does Shopify generate llms.txt automatically?**

Not by default for every theme. Merchants add it deliberately via a theme route, a files/CDN URL with a redirect, or hosting on the apex via DNS. Check yourstore.com/llms.txt to see if anything is live.

**Will llms.txt make ChatGPT recommend my store?**

No file guarantees citations. It reduces guesswork about which URLs represent your brand. You still need indexable pages, honest product markup and proof the rest of the web can see.

**Can llms.txt replace schema?**

No. Publish both. Schema describes the page; llms.txt maps the site. A map to pages with empty Product markup still leaves models guessing the price.

**What should I put in a Shopify llms.txt?**

A one-line brand description, links to your best collections, About, shipping and returns, and a few hero products. Plain Markdown-style links are fine. Skip affiliate spam and every out-of-stock SKU.

**Where does llms.txt live on Shopify?**

What matters is that https://yourstore.com/llms.txt returns useful text. Options include a theme template routed to that path, a CDN file with a redirect, or hosting at the apex via your DNS provider.

**How does the SEO & AI Audit treat llms.txt?**

The ChatGPT SEO check for Shopify stores fetches llms.txt and marks whether a real file is up. A missing file is an optional fail you can schedule. Empty marketing fluff is still weak. Pair a real file with robots that allow the bots you want.

## GPTBot and robots.txt on Shopify — Are You Blocking AI by Accident?

URL: https://ninety9.dev/blog/gptbot-robots-txt-shopify.html
Published: 2026-09-07 (updated 2026-09-21)
Category: SEO & AI
Reading time: 6 minutes

Many Shopify stores block GPTBot, ClaudeBot or Google-Extended in robots.txt by accident. See who is blocked and why it matters for ChatGPT SEO.

Your Googlebot rules can look perfect while GPTBot is Disallowed on line 40 of robots.txt. That is how Shopify stores silently opt out of ChatGPT-related crawling: Search still works, ads still click, and assistants cannot refresh product facts from your shop. Open the live file, see whether you chose that block, and fix it if you did not.

## What is GPTBot, and what is robots.txt on Shopify?

GPTBot is OpenAI’s crawler user-agent. robots.txt is the public text file at `https://yourstore.com/robots.txt` that tells crawlers which paths they may fetch. Shopify serves that file for your domain. A `robots.txt.liquid` theme template and some SEO or security apps can add rules.

Googlebot is not GPTBot. Blocking GPTBot does not, by itself, hide you from Google. [Google-Extended](/blog/perplexity-claude-google-extended-shopify.html) is a different Google token related to AI/Gemini uses. Three decisions, not one.

## The accidental block

A well-meaning “security” snippet or an old SEO app preset Disallows GPTBot. Your Google rankings look fine. ChatGPT still cannot refresh your product facts, so it leans on stale third-party pages or invents a price.

That is the merchant bug: not “we decided against training crawlers,” but “a template decided for us.” Copied `User-agent: GPTBot` / `Disallow: /` blocks the whole storefront for that bot.

If legal or brand risk says keep GPTBot out, disallow on purpose and write it down. Then stop expecting ChatGPT to cite live stock and shipping from your HTML.

## Which bots the audit watches

The [SEO & AI Audit](/chatgpt-seo/) lists which of these are blocked:

- GPTBot
- ClaudeBot
- PerplexityBot
- Google-Extended

Those are the common agents merchants mean by “AI SEO.” The report names who is blocked so you are not guessing from a 200-line robots file. It does not edit the file for you.

## Merchant decision framework

**Allow** if you sell products people ask assistants about and you want accurate prices and policies cited. Pair allow with [indexable pages](/blog/noindex-killing-ai-discovery-shopify.html) and honest Offer markup — an open crawler on a noindex PDP still cannot put you in discovery.

**Disallow** if legal or brand risk outweighs discovery. Do it on purpose, not because a template said so. You can allow GPTBot and still block other AI bots; be explicit per user-agent.

| Goal | GPTBot | Googlebot |
|---|---|---|
| Search visibility | Independent | Must be allowed for Search |
| ChatGPT-related fetch | Allow if you want refresh | Independent |
| Keep training crawlers out | Disallow and document | Do not confuse with GPTBot |

## How to inspect and fix robots.txt on Shopify

1. Open `https://yourstore.com/robots.txt`.
2. Search for `GPTBot`. If you see `Disallow: /` under that user-agent and you never chose it, that is the accident.
3. In admin: Online Store → Themes → ⋯ → Edit code → `robots.txt.liquid` (if present). Remove or narrow the GPTBot block you do not want.
4. Check SEO and security apps for “block AI crawlers” or similar toggles. Turn off the ones you did not intend.
5. Publish the theme. Wait for caches.
6. Re-open `/robots.txt` and confirm the live file matches the policy.
7. Re-open the [ChatGPT SEO check for Shopify stores](/chatgpt-seo/) and confirm the AI-crawler row passes.
8. Ask ChatGPT about a product URL and compare price and availability to the live PDP.

If you cannot find `robots.txt.liquid`, the rule is coming from Shopify’s default file, an app, or the host. Apps are the usual hiding place.

## What a healthy robots.txt looks like for AI

A healthy file is boring. Shopify’s default rules still protect checkout and account paths. Googlebot can fetch products and collections. Each AI user-agent you care about is either absent (so default allow applies) or listed with an explicit, documented Disallow.

You should be able to explain every `User-agent: GPTBot` (or ClaudeBot, PerplexityBot, Google-Extended) line in one sentence. If you cannot, it is inherited clutter.

Watch for:

- `Disallow: /` under an AI bot — that is a full opt-out
- A wildcard user-agent block that is broader than you think
- Duplicate GPTBot groups from the theme and an app, one allowing and one denying
- Rules that Disallow `/products` or `/collections` for everyone, which harms Search as well as assistants

Copy the live file into a dated note the first time you clean it. The next surprise is then a diff, not a mystery.

## Common mistakes

- Checking a local `robots.txt.liquid` that is not the published theme
- Allowing GPTBot while the PDP is noindex, then wondering why discovery is still dead
- Blocking “all scrapers” with a snippet that also hits the assistants your customers actually use
- Never re-opening `/robots.txt` after uninstalling the SEO app that added the block

## After you edit, and how often to re-check

Re-check after every SEO or security app install or removal, and after theme updates. Those events rewrite robots more often than merchants notice.

Crawl load from GPTBot is usually minor versus ads traffic. If you are genuinely capacity-constrained, watch logs and rate-limit at the host — do not leave a forgotten sitewide Disallow as your performance plan.

When the crawler row passes, ask ChatGPT about a product URL the same day. If the answer is still stale, the file may be fine and the model may be using a third-party source — but you have removed the self-own.

Open yourstore.com/robots.txt today. If you see GPTBot Disallow and you never chose that, fix it — then re-run the check and ask ChatGPT about a real product URL.

### FAQ

**Should I allow GPTBot on my Shopify store?**

If you want ChatGPT-related crawlers to fetch product and policy pages, yes. If you want to keep training corpora out, disallow deliberately and document why. Accidental Disallow from a copied snippet is not a policy.

**Does blocking GPTBot hide me from Google?**

Not by itself. Googlebot is separate. Google-Extended is the Google AI-related token the audit also watches. You can rank in Search and still be closed to ChatGPT-related fetching.

**Where is robots.txt on Shopify?**

Shopify serves /robots.txt on your shop domain. Themes can include a robots.txt.liquid template, and apps can influence rules. Always view the live file at yourstore.com/robots.txt rather than a local copy.

**Can the SEO & AI Audit change robots.txt for me?**

No. It only reports which AI bots are blocked. You or your developer edit the theme file, the SEO app setting or the host rules, then re-run the check.

**How do I unblock GPTBot on Shopify?**

Open the live robots.txt, find the GPTBot user-agent block, and remove or narrow the Disallow in robots.txt.liquid or in the app that added it. Publish, wait for caches, re-open the ChatGPT SEO check and confirm the AI-crawler row passes.

**Which AI bots should I look for besides GPTBot?**

ClaudeBot, PerplexityBot and Google-Extended are the other agents the audit watches — the ones merchants mean when they say AI SEO. Search the live file for each name.

**Will allowing GPTBot slow my Shopify store down?**

Crawl traffic is usually small next to shoppers and ads. If you have a specific capacity problem, handle it at the host with monitoring — not with a silent sitewide Disallow you forgot about.

## Shopify Product Schema for AI — What Merchants Need on the PDP

URL: https://ninety9.dev/blog/shopify-product-schema-for-ai.html
Published: 2026-09-07 (updated 2026-09-21)
Category: SEO & AI
Reading time: 5 minutes

ChatGPT and Google lean on product structured data. See which PDP facts to verify: name, image, price, availability and variants — then audit the URL.

Shoppers forgive a messy DOM. Models do not. Product schema — name, image, price, availability — is how a Shopify PDP becomes quotable instead of guessable. Paste the live `/products/handle` into the [ChatGPT SEO check for Shopify stores](/chatgpt-seo/) and fix whatever fails before you rewrite the description.

## What is Shopify product schema?

Product schema is structured data (usually JSON-LD) on the product page that labels the item for machines: this is a Product, this is its name, this is its image, this Offer has this price and this availability.

Your theme designer sees a pretty PDP. ChatGPT sees tokens. If price lives only in a JavaScript widget, the model invents or refuses. Schema is the label on the box; the visible price is what the shopper sees. They must match.

Modern themes often emit JSON-LD. Apps and customisations break it. Dawn is not a guarantee after three SEO apps. Always verify a live URL.

## Why product schema is a merchant problem

This is not “developer trivia.” When ChatGPT invents a price, shoppers blame the brand. When Google cannot form a product result, ads and organic both suffer. The people who own the catalogue — merchandisers, founders — are the ones who notice first.

Typical causes:

- SEO app plus theme plus reviews app emitting three Product graphs
- Price in Liquid but no Offer in JSON-LD
- Variant picker on the page, one SKU in markup
- Review stars in schema, no reviews visible

## The facts that matter on a product URL

Non-negotiables for most stores:

1. **Consistent product name** across H1, og:title and structured `name`
2. **Absolute image URLs** that load
3. **An Offer** with price and availability that match the shopper view
4. **Breadcrumbs** for category context when you show a trail
5. **Organization** so the seller is not anonymous

SKU is helpful when you have one. The audit prioritises identity, media and offer clarity first.

Deep dive on money fields: [price and availability in structured data](/blog/shopify-structured-data-price-availability.html). For the rest of the page types, use the [JSON-LD checklist](/blog/shopify-json-ld-checklist-merchants.html).

## Variants without the drama

If the shopper picks Size / Colour, structured data should represent those options. The audit flags when the theme shows options but markup pretends there is one SKU.

You do not need a novel in the JSON. You need the options that exist on the PDP to exist in the graph, and the Offer to reflect the variant the URL is showing. If each variant has its own URL, audit more than one.

Reviews: markup only if reviews are on the page. Stars in schema with an empty reviews app is a mismatch.

## How to verify on a live PDP

1. Open `/products/handle` in incognito as a customer. Note name, price, sold-out state, options.
2. Paste that exact URL into the SEO & AI Audit. It scores the URL you paste — not a guessed bestseller.
3. If price shows on the page but Offer fails, ticket structured data, not the Liquid price span.
4. Fix the theme snippet or the SEO app. Keep **one** Product graph.
5. Re-paste until the rows you care about pass.
6. Use the ask-ChatGPT button. Compare name, price and availability to the live offer.

Microdata-only setups are harder to audit and easier to mix with JSON-LD. Prefer JSON-LD as the single format.

## Where the markup lives in Shopify

Most Product JSON-LD comes from a theme snippet — often a file with `json`, `schema` or `product` in the name — included from the product template. SEO apps inject a second graph in the head. Reviews apps sometimes inject a third.

Your job as a merchant is not to memorise Liquid. It is to insist on **one** Product graph that matches the PDP. In Online Store → Themes → Edit code, search the theme for `ld+json` or `"Product"`. If you find more than one Product block on the live page, disable the extras in app settings rather than stacking patches.

Settings that feed the graph: product title, featured image, price, inventory policy, and variant options. If you change the title in admin, re-check that H1, og:title and JSON-LD `name` still agree — some apps cache an old SEO title.

## Common mistakes and when not to over-mark

- Checking the theme editor instead of the live PDP
- Fixing one product and assuming every template is fixed (bundles, preorders, gift cards often use other templates)
- Faking compare-at discounts in schema
- Adding every optional schema.org property before name/image/offer work
- Marking up a placeholder image when the gallery has loaded a real photo for shoppers

If the product is unlisted or the store is password-gated, schema is for staging. Public assistants will not fetch it until you publish. If the page is [noindex](/blog/noindex-killing-ai-discovery-shopify.html), fix that first.

Worked example: the PDP shows £48, In stock, sizes S–XL. JSON-LD has no Offer and a single unnamed Product. ChatGPT answers “around £40” from a blog roundup. You restore Offer (£48, InStock), list sizes, re-audit, and ask again. The description never needed rewriting.

Treat product schema like packaging: if the label is wrong, nobody trusts the box — including models. Match the PDP, then ask ChatGPT the same URL.

### FAQ

**Does the Dawn theme include Product schema?**

Modern Shopify themes often emit JSON-LD, but apps and customisations break it. Always verify on a live product URL rather than assuming Dawn (or any theme) is still clean after app installs.

**Is microdata enough for Shopify product SEO?**

JSON-LD is what most merchants and the audit look for. Mixed formats — microdata plus JSON-LD plus an app — confuse everyone. Prefer one Product graph in JSON-LD.

**My price shows on the page but the audit fails. Why?**

Then Offer markup is missing, incomplete or disagrees with the visible price. Fix the structured data, not only the Liquid price. Models read the Offer; shoppers read the span.

**Do I need SKU in Shopify product schema?**

Helpful when you have one. The audit prioritises identity, media and offer clarity first: name, image, price, availability. Add SKU when it is stable and visible to operations.

**What product schema do I need for ChatGPT to read a Shopify PDP?**

A Product with a matching name, a loadable image, and an Offer that states price and availability. Add variants when the shopper picks Size or Colour, and add review markup only if reviews are on the page.

**Should review stars go in JSON-LD if reviews are in a popup?**

Only mark up reviews that shoppers can see on the page. Hidden or app-only reviews in schema without on-page reviews is a mismatch. Put the reviews on the PDP or leave them out of markup.

**How do I verify Shopify product schema without a developer?**

Paste the /products/handle URL into the ChatGPT SEO check for Shopify stores, fix fails, and re-paste. Then use the ask-ChatGPT button and see whether the answer matches your real offer.

## Shopify JSON-LD Checklist for Merchants (No Developer Jargon)

URL: https://ninety9.dev/blog/shopify-json-ld-checklist-merchants.html
Published: 2026-09-06 (updated 2026-09-21)
Category: SEO & AI
Reading time: 5 minutes

A plain-English JSON-LD checklist for Shopify: shop identity, products, collections, articles, breadcrumbs and FAQs — plus a free audit per URL.

You do not need to speak “schema.org” fluently. You need a Shopify JSON-LD checklist per page type and a habit of verifying live URLs. JSON-LD is the hidden label that names the shop, the product, the price and the article so Google and AI assistants do not have to guess from theme HTML. Print the list below, then run each URL type through the [ChatGPT SEO check for Shopify stores](/chatgpt-seo/).

## What is JSON-LD on Shopify?

JSON-LD is a small block of structured data in the page source, usually inside a `<script type="application/ld+json">` tag. It is not visible to shoppers. It tells machines: this page is a Product, this is the shop’s Organization, this is an Article, these are breadcrumbs.

Shopify themes often emit it automatically. Apps add more. Customisations break it. That is why merchants must check the **live** URL, not a screenshot of the theme editor.

It is not only for Google. Answer engines lean on clear entities too — which is why the SEO & AI Audit reads it.

## Homepage checklist

- Organization or WebSite markup with a **stable name** that matches what shoppers see
- SearchAction only if you actually show site search
- Links into collections or products so a model can walk the catalogue
- Preview title and image set ([Open Graph](/blog/open-graph-shopify-ai-previews.html))
- Not noindex by mistake

If the homepage is a video wall with no named organization, assistants have nothing durable to hang the brand on. Pull the shop name from Settings → Store details and keep it identical in the H1 (or logo alt), og:title and Organization `name`. See also [homepage schema for AI](/blog/shopify-homepage-schema-ai.html).

Campaign homepages that swap every week still need a stable identity block. Seasonal copy can change; the legal shop name should not.

## Collection checklist

- Collection or ItemList signalling this is a **group of products**
- Breadcrumbs
- Enough real product links that the page is not an empty shell in markup (infinite-scroll placeholders without anchors fail this)
- Names that match the visible collection title

Empty merchandising in HTML plus fancy filters is still an empty page to a crawler. View source and search for `/products/` — you want real anchors, not only a JavaScript root. Details: [collection SEO for AI](/blog/shopify-collection-seo-for-ai.html).

Filtered facet URLs are usually poorer candidates for markup than the parent collection. Keep the merchandised URL clean and do not pretend a `?filter=` page is a new product type.

## Product checklist

- Product + Offer
- Image (absolute URL that loads)
- Availability that matches sold-out reality
- Variants when the PDP has Size / Colour options
- Reviews in markup **only if** reviews are on the page
- H1, og:title and structured `name` in agreement

Price on the page but missing in Offer is the classic fail. Gift cards, bundles and wholesale templates often skip the snippet the main PDP uses — audit one SKU on each template. Deep dive: [product schema for AI](/blog/shopify-product-schema-for-ai.html) and [price and availability](/blog/shopify-structured-data-price-availability.html).

## Blog and pages checklist

- Article or BlogPosting with author and date for posts
- WebPage for policy and about
- FAQPage when you truly show FAQs — not on every URL

Blog markup without a date or author is how “evergreen” posts look undated to machines. Policy pages should be boring, specific and marked as pages, not as products. If the shipping page is a screenshot of a table, add the same facts as text so they exist in HTML, not only in an image.

## Crawl hygiene on every URL

JSON-LD does not help if the page cannot be used.

- Not noindex by mistake
- robots.txt not blocking the AI bots you want
- Optional llms.txt at the root
- Canonical pointing at the URL you meant to share

Verify in this order: indexable → names agree → page-type markup → crawlers allowed → llms.txt. Skip the order and you polish labels on a page you asked the web to ignore.

## How to run the checklist (no jargon)

1. Pick one live URL per type: home, collection, product, blog post, policy page.
2. Open each in incognito. Note the visible name, price and FAQs.
3. View source and search for `ld+json` if you want the raw block — optional.
4. Paste each URL into the SEO & AI Audit. Ticket only the reds.
5. If two apps both output Product or Organization, disable extras until one graph remains.

Worked example: a merchant pastes a bestseller. Audit says names disagree and Offer is missing. H1 is “Navy Merino Crew”; og:title is a keyword string; JSON-LD `name` is the SKU. They pick the customer-facing name, align all three, restore Offer from the theme’s product snippet, and re-paste. Then they ask ChatGPT the price and compare.

## Common mistakes

- Duplicate Product graphs from theme + SEO app + reviews app
- FAQ schema where there is no FAQ
- Checking a preview link you will not publish
- Assuming Dawn (or any modern theme) is still emitting clean JSON-LD after three app installs

Print this checklist. Run each URL type once through the ChatGPT SEO check for Shopify stores. Ticket only the reds — then keep one source of markup, not three.

### FAQ

**Where do I see JSON-LD on a Shopify store?**

View page source on the live URL and search for application/ld+json, or run the free ChatGPT SEO check which summarises it in merchant language. Do not rely on the theme editor preview; apps only inject on the published shopfront.

**Can an SEO app break JSON-LD?**

Yes — duplicate Product graphs and conflicting Organizations are common. One clean graph beats three fighting apps. Turn off markup in extra apps and keep a single source of truth.

**Do I need FAQ schema on every Shopify page?**

Only where FAQs are visible on the page. Markup without on-page FAQs is noise and can disagree with what shoppers see. Policy pages with a real Q&A block are the usual fit.

**Is JSON-LD only for Google?**

Google popularised it; answer engines also lean on clear entities. That is why the AI audit reads it. The same Product and Organization labels help ChatGPT, Perplexity and similar tools avoid guessing.

**What JSON-LD does a Shopify homepage need?**

Organization or WebSite markup with a stable shop name, preview title and image, and links into collections or products so a model can walk the catalogue. SearchAction only if you actually show site search.

**What JSON-LD does a Shopify product page need?**

Product plus Offer, with image, price, availability and variants when the PDP has options. Include review markup only if reviews are visible on the page.

**How do I check JSON-LD without speaking schema.org?**

Paste each URL type into the ChatGPT SEO check for Shopify stores and ticket only the reds. Use Google’s Rich Results Test if you want a second, Google-oriented view of the same live HTML.

## Why ChatGPT Doesn’t Cite My Shopify Store (Yet)

URL: https://ninety9.dev/blog/why-chatgpt-doesnt-cite-my-shopify-store.html
Published: 2026-09-06 (updated 2026-09-21)
Category: SEO & AI
Reading time: 5 minutes

Why ChatGPT does not cite your Shopify store: fix schema, robots.txt and llms.txt with a free SEO & AI Audit before chasing mentions.

Want ChatGPT to cite your Shopify store? Start by surviving a readability check. Citations are earned inside someone else’s model; readiness — fetchable pages, clear schema, open crawlers — is what you control this afternoon. Run the free [ChatGPT SEO check for Shopify stores](/chatgpt-seo/), fix the URL, then test prompts yourself.

## Citations vs readiness

Citations are an outcome inside someone else’s model. Nobody can audit “how often ChatGPT cites you” from a public page crawl. The tool never calls OpenAI to measure mentions. Buttons open ChatGPT in your browser.

Readiness is whether your public page offers clean facts: it can be fetched, it is not marked noindex, structured data matches the shopper view, and you have not blocked the crawlers you wanted. Merchants control readiness.

Thin brands with blocked bots and empty schema rarely get accurate answers. Famous brands with messy markup still get mentioned — often inaccurately. Your job is to stop being unreadable so that when you are mentioned, the facts are yours.

## Why ChatGPT might ignore (or invent) you

Common self-owns:

- GPTBot disallowed in robots.txt while Googlebot looks fine
- Product pages with marketing blurbs and no Offer
- Homepage that is a video wall with no Organization
- Blog posts with no date or author in markup
- Accidental [noindex](/blog/noindex-killing-ai-discovery-shopify.html) on the collection you advertise
- Empty or missing [llms.txt](/blog/shopify-llms-txt-guide.html) while the homepage is a weekly promo

Perplexity shows sources more often, but the same basics apply. If you want a second surface, use the audit’s Perplexity ask button on the same URL.

Stuffing “ChatGPT” into product titles helps neither shoppers nor models.

## A practical sequence

1. Unblock or confirm bots — see [GPTBot and robots.txt](/blog/gptbot-robots-txt-shopify.html).
2. Fix product and homepage structured data.
3. Add llms.txt (short map, not every SKU).
4. Publish one genuinely useful guide or a specific shipping/returns page.
5. Re-ask ChatGPT monthly with the same prompt and note changes.

That sequence is [the realistic playbook](/blog/get-found-in-chatgpt-shopify.html) without the fantasy submit button. Technical fixes can help the next fetch. Reputation and third-party proof move slower.

Worked example: you ask “Does [brand] ship to Canada?” ChatGPT says yes, free. Your policy says UK and EU only, paid. Readiness failed on the policy page (thin copy or unread markup), or a retailer blog was fresher than your HTML. You rewrite shipping with explicit countries, re-audit, allow the crawler, and ask again next month. You still cannot force a citation — you can stop supplying the wrong quote.

## What not to buy

- “Guaranteed ChatGPT ranking” retainers
- Fake review schema
- Cloaking pages for bots

Those burn trust with Google and shoppers alike. Perfect schema does not guarantee citations either; it removes excuses. Demand, uniqueness and reviews still matter.

Paid ads inside ChatGPT, if you use them, are a separate channel. They do not replace public readability for unpaid answers.

## Unreadable vs merely unknown

Two different problems get mixed together.

**Unreadable** means a crawler that reached you would still guess: noindex, blocked GPTBot, missing Offer, three conflicting product names. That is on you this afternoon. Fix it with the audit.

**Unknown** means the page is clean but the rest of the web barely mentions you. Assistants then lean on bigger retailers, marketplaces or round-up blogs. Schema will not invent fame. Distinctive proof — press, reviews, a useful guide other sites link — is the slow half of the work.

If ChatGPT describes your product with a competitor’s shipping policy, you are probably unreadable or unpublished on that topic. If it never mentions you in a broad “best [category]” answer, you may be readable and still small. Diagnose before you buy a retainer.

A practical split: spend this week on fetchability and Offer markup; spend the quarter on one useful public guide and genuine third-party mentions. Mixing the two into one “ChatGPT campaign” is how you buy content you still cannot be quoted from.

## When not to chase citations

Do not chase ChatGPT mentions while:

- The store is password-gated
- Bestsellers are noindex
- You cannot fulfil the countries you would be quoted as shipping to
- The PDP price in markup is wrong — being cited with the wrong number is worse than silence

Fix those, then ask again. Being quoted inaccurately is not a win.

## How to measure without a citation dashboard

Keep a simple log:

| Date | Prompt | Accurate / stale / invented | URL you audited |
|---|---|---|---|
| 2026-09-21 | “What does [brand] sell?” | | Homepage |
| 2026-09-21 | “[Product] price?” | | PDP |
| 2026-09-21 | “Return window?” | | Policy |

Run the SEO & AI Audit when the log shows invented facts. Fix the page, then test prompts yourself. That is the loop.

Ask the same wording each month. Changing the prompt every time makes the log useless. Include at least one prompt that only your policy page can answer (returns window, shipping countries) so you can tell whether *your* HTML is in play.

If the store is password-protected, ChatGPT cannot cite the live catalogue yet. Audit in staging, then repeat on go-live day.

You cannot force a citation. You can stop being unreadable. Start with the SEO & AI Audit, then ask the same buyer questions every month.

### FAQ

**Can Ninety9 see my ChatGPT citations?**

No. The tool never calls OpenAI to measure mentions. Buttons open ChatGPT in your browser with the page referenced so you can compare the answer to your catalogue.

**Will perfect schema guarantee ChatGPT citations?**

No. It removes excuses. Demand, uniqueness and reviews still matter. Readiness is whether the page can be quoted accurately; a citation is an outcome inside someone else’s model.

**Should I stuff ChatGPT into Shopify product titles?**

No. That helps neither shoppers nor models. Use the real product name and clear facts. Title stuffing is a trust tax on the PDP and in markup.

**Is Perplexity different from ChatGPT for citations?**

Perplexity shows sources more often, but the same readability basics apply: fetchable pages, clear entities, honest offers. The audit’s ask buttons include Perplexity so you can compare.

**Why doesn’t ChatGPT cite my Shopify store?**

Usually the page is unreadable or unfetchable: GPTBot disallowed, noindex, missing Offer markup, or a homepage with no shop identity. Fix readiness first. Citations also depend on demand and third-party proof you cannot buy as a score.

**What should I not buy to get ChatGPT citations?**

Guaranteed ChatGPT ranking retainers, fake review schema and cloaking pages for bots. Those burn trust with Google and shoppers alike and still cannot force a mention inside ChatGPT.

**How do I test whether ChatGPT will mention my brand?**

Fix the page with the ChatGPT SEO check for Shopify stores, then ask ChatGPT the same buyer prompts monthly. Note accurate, stale or invented answers. That log is the measurement you actually control.

## How to Get Found in ChatGPT as a Shopify Store (Realistic Playbook)

URL: https://ninety9.dev/blog/get-found-in-chatgpt-shopify.html
Published: 2026-09-05 (updated 2026-09-21)
Category: SEO & AI
Reading time: 6 minutes

A realistic playbook to get found in ChatGPT from Shopify: readable schema, open crawlers, llms.txt and proof-rich pages — plus a free SEO & AI Audit.

There is no honest “submit your Shopify store to ChatGPT” button that guarantees discovery. The realistic playbook is to make the store accurately readable — schema, open crawlers, quotable pages — then earn proof the rest of the web already believes. Start with the free [ChatGPT SEO check for Shopify stores](/chatgpt-seo/), fix what it flags, and rehearse the prompts your buyers actually type.

## What “get found in ChatGPT” actually means

It does not mean a ranking dashboard inside OpenAI. It means that when a shopper asks an assistant for a product, a comparison or a policy fact, the model can fetch or recall your brand without inventing the price, the name or the shipping rule.

You control **readiness**: public pages, no accidental noindex, robots that allow the bots you want, structured data that matches the shopper-facing offer, and an optional [llms.txt](/blog/shopify-llms-txt-guide.html) map. You do not control **citations** inside someone else’s model. Paid placements inside ChatGPT, if you use them, are a separate channel from this organic work.

## Play 1 — Make the catalogue legible

Run the SEO & AI Audit on the homepage and a bestseller. Fix name mismatches, missing offers, and blocked bots. That is the whole of play 1.

Checklist for the URLs that matter:

1. Page is [indexable](/blog/noindex-killing-ai-discovery-shopify.html) (no accidental noindex).
2. Product pages expose name, image, price and availability in JSON-LD that matches the visible PDP.
3. Homepage exposes shop identity (Organization or WebSite) so you are not an anonymous URL.
4. `robots.txt` allows GPTBot if you want ChatGPT-related crawlers to refresh facts — see [GPTBot and robots.txt](/blog/gptbot-robots-txt-shopify.html).
5. og:title and og:image agree with the H1.

Do not start with a product-description rewrite. If Offer markup is missing, prettier copy will not stop a model guessing the price.

## Play 2 — Publish pages assistants can cite

Models prefer quotable policies over slogan homepages. Ship (or rewrite until specific):

- Shipping: countries, thresholds, typical time ranges you actually offer
- Returns: window, condition, who pays postage
- Sizing or fit, if you sell apparel
- About: who you are, where you operate, what you do not sell

Vague “world-class service” copy is unquotable. “We ship to the UK, EU and US. UK orders over £60 ship free. Returns within 30 days, unused, with tags on.” is quotable.

Should every product sit in llms.txt? No. Highlight heroes and policies. Let catalogue schema cover the long tail.

## Play 3 — Earn third-party proof

Your schema gets the facts right; the web still teaches fame. Reviews, press, comparison articles and forum mentions on other domains are how assistants learn you exist beyond your own HTML.

That is slow on purpose. Do not buy “guaranteed ChatGPT ranking” retainers. Do not stuff “ChatGPT” into product titles. Do not fake review schema. Distinctive proof — a real comparison, a real review, a real press note — beats a keyword stunt.

## Play 4 — Rehearse the prompts your buyers use

Write ten prompts the way a customer would, not the way a marketer would:

- “Best [category] for [use case] under $[n]”
- “Does [brand] ship to [country]?”
- “What is [brand]’s return window?”
- “Is [product] in stock?”

Ask ChatGPT (and Perplexity) those questions. Compare the answer to the live page. If the model invents a price or a country you do not ship to, the fix is on your URL — markup, policy copy, crawler access — not a cleverer prompt on your side.

Worked example: say you sell a wool blanket for £120, free UK shipping over £75, 30-day returns. If ChatGPT says £89 and “free worldwide shipping,” your Offer markup, shipping page or both are wrong or unread. Ticket those pages; do not argue with the chat.

## How to measure without a citation score

Nobody can audit “how often ChatGPT cites you” from a public page crawl. Measure what you can:

- Audit pass/fail on homepage + bestseller after each theme or robots change
- Prompt log: same ten questions, monthly, with a note (accurate / stale / invented)
- Search Console for the Google side of discovery
- Third-party mentions you can actually see (reviews, press)

Technical fixes can help the next fetch. Reputation moves slower. Plan for both clocks.

## What to publish besides products

Assistants quote specifics. Besides PDPs, give them pages that answer the questions around the purchase:

- A materials or ingredients page if that is why people choose you
- Care, sizing or compatibility — the questions that currently land in support
- A clear “who we are not” line (we do not sell X, we do not ship to Y) so the model stops borrowing a competitor’s policy

One durable article that answers a real category question will do more than ten slogan posts. Link it from llms.txt. Keep the date and author in article markup so it does not look like an undated landing page.

## When this playbook is the wrong spend

If the store is still password-gated, if the buy button is broken, or if you cannot fulfil the countries you claim, stop. Readability without a working shop is a brochure. If paid ads already convert and you have never checked robots or Product schema, this is the next free afternoon — not a six-month content rewrite.

Do not pause fulfilment or CRO work to chase citations. A readable store that cannot ship is still a bad answer. Fix the offer, then make the offer machine-readable.

Realistic beats magical. Readable store first — discovery second. Run the check, ship the boring fixes, then earn the mentions you cannot fake.

### FAQ

**Is there a submit-URL form for ChatGPT?**

Nothing like classic Search Console for guaranteed inclusion. Focus on public crawlability, clear structured data and pages assistants can quote. You cannot submit a Shopify store into ChatGPT the way you request indexing in Google.

**Do ads inside ChatGPT replace organic readability?**

Paid placements are a separate channel. Organic readability still matters for unpaid answers, where the model is working from pages it can fetch and from what the rest of the web says about you.

**Should every Shopify product be in llms.txt?**

No. Highlight heroes, collections and policies. Let catalogue schema cover the long tail. A short map beats a dump of every SKU, including out-of-stock leftovers.

**How long until I see changes in ChatGPT?**

Technical fixes can help the next fetch once crawlers are allowed and the page is public. Reputation, reviews and third-party citations move slower. Re-ask the same buyer prompt monthly and note what changed.

**How do I get my Shopify store found in ChatGPT?**

Make the catalogue legible (schema, indexable URLs, open crawlers), publish quotable policy and about pages, earn third-party proof, and rehearse the prompts your buyers use. Then verify with the free ChatGPT SEO check and a live prompt test.

**Will stuffing ChatGPT into product titles help?**

No. That helps neither shoppers nor models. Use the real product name, clear facts and proof. Title stuffing is a trust tax.

**Does a perfect SEO & AI Audit score guarantee ChatGPT will recommend me?**

No. Readiness removes excuses — blocked bots, missing Offer markup, empty identity. Demand, uniqueness and reviews still decide whether you are the answer. You control readability this afternoon; you do not control someone else’s model.

## Shopify AI Search Readiness — A Merchant Checklist for 2026

URL: https://ninety9.dev/blog/shopify-ai-search-readiness.html
Published: 2026-09-05 (updated 2026-09-21)
Category: SEO & AI
Reading time: 6 minutes

AI search readiness for Shopify explained: fetchable pages, structured data, open crawlers and llms.txt. Score each URL type and gate campaigns on it.

AI search readiness for a Shopify store means an assistant can fetch your public pages, read clear facts from structured data, and is allowed to do so by your robots.txt — with an optional llms.txt map pointing it at the pages that matter. It is not a vibe and it is not a rank. It is a short stack of checks you can score per page type and gate campaigns on.

## What does "AI search ready" mean in merchant terms?

A staff member can paste your top five URLs into ChatGPT or Perplexity and get answers that match your live price, stock posture and policies — without the model apologising, hedging or inventing. That is the whole definition. Everything below is how you get there and how you prove it.

Two terms worth defining once. **Structured data** (usually JSON-LD) is a hidden block of code on the page that labels facts — shop name, product name, price, availability — in a format machines read without guessing. **llms.txt** is a plain-text file at `yourstore.com/llms.txt` that lists the pages that best represent your brand.

## Why does AI search readiness matter for Shopify merchants?

Shoppers increasingly ask assistants "which brand should I buy for X" and "does this store ship to Ireland" before they ever visit. If your product page hides the price in a script, blocks GPTBot, or has three different brand names across the title, preview and markup, the assistant answers from a reseller or a review site instead of you — or gets it wrong. Readiness is how you make your own page the easiest source to quote.

It also costs almost nothing. The same pages that pass Google's checks pass AI checks once you add crawler policy and a map.

## The five-layer readiness stack

1. **Fetchable.** Not password-gated in production; not noindex; canonical points at itself. Test in an incognito window and with view-source.
2. **Described.** JSON-LD matches what the page shows: Organization or WebSite on the homepage, Product and Offer on products, CollectionPage or ItemList on collections, BlogPosting on articles.
3. **Allowed.** robots.txt is intentional about GPTBot, ClaudeBot, PerplexityBot and Google-Extended. See [which bots to allow](/blog/perplexity-claude-google-extended-shopify.html).
4. **Mapped.** llms.txt points at durable URLs — core collections, hero products, policies, About.
5. **Tested.** You asked ChatGPT yourself and compared the answer to the page.

## How do I score readiness per URL type?

One "AI grade" for a whole store hides the problem. Score each page type separately, because each needs different facts.

| URL type | Ready means | Common fail |
|---|---|---|
| Homepage | Organization/WebSite markup, stable name, links into collections | Video hero, no identity markup |
| Collection | CollectionPage/ItemList, real description, product links in HTML | Infinite scroll with no anchors |
| Product | Product + Offer with price, currency, availability, image | Price only in JavaScript widget |
| Blog post | BlogPosting with headline, author, datePublished | Missing author or date |
| Policy page | Plain HTML text, indexable, linked from footer | noindex from a template setting |

Give each row a pass or fail. A store is "ready" when every row you advertise passes.

## How do I make a Shopify store AI search ready? (step by step)

1. Remove the storefront password (Online Store → Preferences) if the store is live.
2. Check robots.txt at `/robots.txt`. If you need changes, add a `robots.txt.liquid` template via Online Store → Themes → ⋯ → Edit code.
3. View-source your homepage and a product; search for `ld+json`. If markup is missing or wrong, it lives in your theme's snippet or section files, or in an SEO app's settings.
4. Paste each URL into Google's Rich Results Test to confirm Product, Breadcrumb and Organization items are detected.
5. Write a short llms.txt and publish it at the root — see the [llms.txt guide for Shopify](/blog/shopify-llms-txt-guide.html).
6. Run the [ChatGPT SEO check for Shopify stores](/chatgpt-seo/) on each URL type and fix the reds.
7. Ask ChatGPT and Perplexity the same three questions about your store; save the answers with the date.

## Worked example: the campaign launch gate

Say you are about to scale ads on a new collection, `/collections/trail-running`, with a hero shoe at $140. Before spending, run the readiness check on the collection URL and the hero product. The collection passes. The product fails "Described": the theme shows $140 but the JSON-LD price is $0 because an app overrode the snippet. Left alone, an assistant asked "how much is the X trail shoe" would guess or refuse. Fix the markup, re-run, then spend. The gate cost twenty minutes; the alternative was paying to send shoppers to a page assistants could not describe.

## What are the common mistakes?

- Treating AI readiness as a content project first. Rewrite copy after the page is fetchable and described, not before.
- Blocking all bots as a default and forgetting to revisit the decision.
- Checking the theme preview instead of the live URL. Apps and customisations only appear live.
- Adding review or FAQ markup for things that are not visibly on the page.
- Buying "guaranteed ChatGPT rankings." Nobody outside the model providers can promise citations.

## Who owns AI readiness on the team?

Marketing owns prompts, llms.txt content and the launch gate. Development or your theme partner owns schema and robots.txt. The founder owns the allow/deny bot policy, because it is a business decision about who may use your content. The audit report is the shared artefact everyone reads from.

## When should you not worry about this?

If the store is pre-launch and password-protected, run the checks with the storefront password but do not expect any assistant to know you yet. If you sell exclusively through a marketplace and the Shopify store is a placeholder, fix the marketplace listing first. Otherwise, the stack applies.

Print the stack. Gate the next launch on a green AI readability pass for the collection and the product you are promoting.

### FAQ

**What is AI search readiness for a Shopify store?**

AI search readiness means an assistant such as ChatGPT, Perplexity or Google AI Overviews can fetch your public pages, read clear facts about your brand and products from structured data, and is allowed to do so by your robots.txt. It is the technical precondition for accurate answers, not a promise of citations.

**Is AI search replacing Google for ecommerce?**

Not overnight. Assistants already influence research and comparison, while Google still drives most purchase traffic. Being readable to both is cheap insurance because they rely on the same public pages and the same structured data.

**Do I need new landing pages for AI search?**

Usually no. Fix the pages you already pay to advertise: homepage, core collections, best-selling products and policies. New pages only help when they answer a question your current pages do not.

**How is AI search readiness different from normal Shopify SEO?**

Most of it overlaps: indexability, canonicals, structured data and useful content matter to both. The AI-specific extras are an intentional policy for AI crawlers in robots.txt, an optional llms.txt file, and testing prompts in the assistants themselves.

**Where does CRO fit next to AI readiness?**

CRO takes over after the click. Use the free CRO Audit for buy-path leaks on the product page, and use the SEO & AI Audit to confirm a model can read and describe the page before the click happens.

**How often should I re-check AI readiness?**

Re-check after theme changes, SEO app installs or removals, and major catalogue relaunches, plus a scheduled full pass each quarter. Those events are the usual causes of a page silently becoming unreadable.

## CRO Audit vs ChatGPT SEO Check on Shopify — Run Both

URL: https://ninety9.dev/blog/cro-audit-vs-chatgpt-seo-check.html
Published: 2026-09-04 (updated 2026-09-21)
Category: SEO & AI
Reading time: 6 minutes

CRO audits ask if shoppers can buy. The ChatGPT SEO check asks if models can read the page. Mixing them hides the next action — here is how to staff both.

A CRO audit and a ChatGPT SEO check answer two different questions about the same Shopify store: the CRO Audit asks whether a shopper who lands on the page can buy easily and is nudged to buy more, while the ChatGPT SEO check asks whether an AI model or search engine can fetch the page and read its facts accurately. Run both, keep the results on separate punch lists, and never average them into one blended grade.

## What is a CRO audit?

A conversion rate optimisation audit reviews the buying path a real person walks: is the buy path honest, is the add-to-cart clear, and does the page ask for a larger order? In other words, can a human buy, and does the store grow the basket? The free [CRO Audit](/cro-audit/) reads a public page and returns its findings as a separate report from the SEO & AI check.

## What is the ChatGPT SEO check?

The ChatGPT SEO check for Shopify stores — also called the SEO & AI Audit — reads a public URL and reports whether structured data, robots.txt rules, canonical and preview tags and llms.txt are in shape so that ChatGPT, Perplexity, Claude and Google's AI surfaces are not guessing. It does not care whether the page converts. It cares whether a model can trust the price and the shop's identity.

## Why do blended scores fail merchants?

A single "site health: 72" hides the next action. Consider the two extremes:

- A gorgeous schema graph does not revive a missing add-to-cart button. The store is perfectly citable and sells nothing.
- A product page that converts brilliantly but disallows GPTBot in robots.txt still loses every shopper who researched with an assistant first.

Averaging those two into one number produces a mediocre score that points at neither problem. Two separate lists point at both.

## CRO Audit vs ChatGPT SEO check at a glance

| Question | CRO Audit | ChatGPT SEO check |
|---|---|---|
| Who is the "reader"? | A shopper with a card in hand | A crawler or AI model fetching HTML |
| What does a fail look like? | A buy path that is not honest, a page that never asks for a larger order | noindex, blocked GPTBot, price missing in markup, no llms.txt |
| Who fixes it? | Merchandiser, designer, app settings | Theme developer, SEO app settings, robots.txt.liquid |
| What does success look like? | Higher conversion and average order value | Accurate answers and citations from assistants |
| Best URL to test | The product page your ads land on | Homepage, that product, and the shipping policy |

## How to schedule both in one week

1. **Monday — CRO on the ad product.** Paste the product page that receives paid traffic into the CRO Audit. Log each fail as a ticket for the merchandising or design owner.
2. **Tuesday — SEO & AI on three URLs.** Paste the homepage, the same product and your shipping policy into the [ChatGPT SEO check for Shopify stores](/chatgpt-seo/). Log fails for the theme developer or the SEO app owner.
3. **Wednesday — tickets.** Group theme fixes so they ship in one deploy. Keep copy and offer changes separate.
4. **Thursday — re-checks.** Re-run both tools on the same URLs and record which rows flipped.
5. **Friday — decide.** Anything still red gets an owner and a date, or a written decision to leave it.

## A worked example

Say you run a skincare store with a £34 hero serum and paid social sending 2,000 visits a week to its product page. Your CRO punch list says the page never asks for a larger order and the buy path is cluttered. The SEO & AI Audit flags GPTBot blocked and no Product price in markup.

Fixing the CRO items could lift orders from the traffic you already pay for this week. Fixing the readability items lets the shoppers who ask an assistant "best serum under £40 that ships to the UK" actually find you next month. Neither fix substitutes for the other, and neither team should wait for the other.

## Common mistakes when running both

- Asking the theme developer to "improve conversion" and the merchandiser to "fix schema". Match the fail to the person who owns that layer.
- Reporting one averaged score to a founder or client. Show two slides, two punch lists, no average — the [agency version of this advice](/blog/agency-shopify-ai-seo-audit.html) applies to in-house teams too.
- Expecting structured data to lift conversion, or a new upsell to earn citations.
- Running the tools once and treating the result as permanent. Theme updates and app installs regress both.
- Forgetting that the CRO opt-out meta tag (including `content="no,delete"`) also stops the SEO & AI check when you later want to test.

## When to run only one

If your store is deliberately closed to AI crawlers for legal reasons, the SEO & AI Audit will keep showing intentional reds; document the decision and run CRO alone. If you are pre-launch behind a password, the reverse applies — fix readability of templates now and run CRO once real traffic arrives. Everyone else should run both.

## How to measure the results separately

Track conversion rate and average order value for the CRO changes, using your Shopify analytics on the specific product. Track the SEO & AI changes by re-running the same URLs and confirming rows flipped from fail to pass, then spot-checking assistant answers against the real page. Do not look for AI citation counts unless you have a repeatable sampling method; otherwise you are measuring anecdotes.

Run both. Staff the reds in the system they belong to.

### FAQ

**Which should I run first, the CRO Audit or the ChatGPT SEO check?**

If paid traffic already lands on your product pages, start with the CRO Audit because every leak costs money today. If organic or AI-assistant discovery is the goal this quarter, start with the ChatGPT SEO check. In most stores you run both in the same week.

**Do the CRO Audit and the SEO & AI Audit share a score?**

No. They use separate rubrics on separate pages and produce separate reports. That is deliberate: a conversion problem and a readability problem need different owners and different fixes.

**Will fixing schema lift my conversion rate?**

Not directly. Structured data helps discovery and lets assistants quote accurate prices and policies. Conversion is still decided by the add-to-cart path, offer design and trust on the page.

**Can one meta tag block both checks?**

Yes. The CRO Audit opt-out meta tag (content="no" or content="no,delete") also stops the SEO & AI Audit. Erasing stored CRO reports only happens on the CRO audit page. There is also a readiness-specific opt-out if you only want to block the AI readability check.

**What is the difference between a CRO audit and an SEO audit on Shopify?**

A CRO audit reviews whether a shopper who has already arrived can buy easily and is asked to buy more. An SEO or AI readability audit reviews whether search engines and AI models can fetch and understand the page in the first place.

**How often should I run each check?**

Run the CRO Audit whenever you change a product template, offer or cart flow. Run the ChatGPT SEO check after any theme update, SEO app install or robots.txt edit. Re-running the same URLs is what makes the results comparable.

## How to Run the Shopify SEO & AI Audit

URL: https://ninety9.dev/blog/how-to-run-shopify-seo-ai-audit.html
Published: 2026-09-04 (updated 2026-09-21)
Category: SEO & AI
Reading time: 5 minutes

Step-by-step: paste a Shopify homepage, collection, product, blog or page into the free SEO & AI Audit. Password stores supported. No admin login.

The SEO & AI Audit is only useful if pasting a URL is easier than arguing about AI strategy. Open the [ChatGPT SEO check for Shopify stores](/chatgpt-seo/), paste a homepage, collection, product, blog or page, and read a merchant-language pass/fail list — including [password-protected shops](/blog/password-protected-shopify-ai-audit.html). No Shopify admin login. Five minutes per URL beats another unread SEO PDF.

## What the Shopify SEO & AI Audit is

It is a public-page check of whether a live Shopify URL is readable to answer engines: structured data for that page type, robots.txt rules for AI crawlers, optional llms.txt, previews and indexability. It is the same tool as the ChatGPT SEO check in the nav.

It is not a citation rank. It does not log into admin. It does not install an app. It does not see orders or customers. For what it is and is not in more depth, see [what the ChatGPT SEO check actually is](/blog/what-is-chatgpt-seo-check-shopify.html).

## 1. Open the tool

Go to the [ChatGPT SEO check for Shopify stores](/chatgpt-seo/) page. You will see a single URL field — no account wall and no credit-card gate.

https:// is optional; bare domains work. `yourstore.com` and `https://yourstore.com/products/handle` are both valid. Paste the exact URL you care about, including the path.

## 2. Choose the URL on purpose

The check scores **that** page type, not a guessed bestseller.

| Paste this | You learn |
|---|---|
| Homepage | Shop identity, catalogue links, sitewide robots and llms.txt |
| Collection | Whether the group of products is described as a collection |
| Product | Offer clarity: name, image, price, availability |
| Blog post | Article markup (author, date) |
| Policy / about page | WebPage / FAQ where you actually show FAQs |

Run at least four URLs before you declare the store “done.” Templates differ. A passing homepage does not prove the PDP is clean.

## 3. Submit and read

Wait a few seconds. Note fails in merchant language. Expand details when a row mentions blocked bots or missing llms.txt.

Work top to bottom. Indexability and blocked crawlers are gates; pretty descriptions are not. Copy each fail into a ticket with the URL, the date and the theme name. The on-page list is the artefact — there is no PDF report.

If you need to opt out, add the ninety9-readiness meta tag in `theme.liquid`, or the CRO audit opt-out tag (`content="no"` or `content="no,delete"`), which also stops this check. Erasing stored CRO reports only happens on the CRO audit page.

## 4. Ask an assistant

Use the built-in buttons to open ChatGPT or another assistant with the page referenced. Compare the answer to reality: name, price, stock, shipping.

This is the human half of the how-to. The list tells you whether the page is readable. The prompt tells you whether a model, today, is using something like those facts. Stale or invented answers after a green list usually mean cache, third-party sources or a URL you did not audit.

## 5. Fix and re-run

Ship the theme or robots change. Hard-refresh the live URL (apps and meta tags do not always show in the theme editor preview). Paste the same URL again until the rows you care about pass.

Re-run after theme updates, SEO app installs and robots.txt edits. Do not expect the score to become a citation count. For what to do with the punch list, see [after your Shopify SEO & AI Audit](/blog/after-your-shopify-seo-ai-audit.html).

### Password-protected stores

When prompted, paste the storefront password from Online Store → Preferences — the one shoppers type. Staff login will not open the shopfront. Treat results as a staging review until the password is removed, then run the same URLs again in public.

## How to staff the fails

Group rows so they do not bounce between marketing and development:

- **Theme / Liquid:** missing Product or Organization JSON-LD, name mismatches, Open Graph, breadcrumbs
- **Apps:** duplicate graphs, stealth noindex, robots Disallows injected by SEO or security tools
- **Content:** empty policy pages, homepage with no durable shop identity, llms.txt still a 404
- **Policy:** whether GPTBot and the other AI bots should be allowed — a founder decision, then a file edit

One URL, one ticket, one owner. Re-run that URL yourself after the fix rather than trusting a Slack “should be live.”

If you run agencies or several brands, keep a sheet with date, theme name, URL and pass/fail. The check is fast; the memory of what broke last quarter is not.

## Common mistakes

- Pasting the admin URL (`/admin`) instead of the storefront
- Checking only the homepage
- Trusting a preview theme URL you will not publish
- Declaring victory without asking an assistant about the same URL
- Expecting the tool to edit robots.txt or JSON-LD for you — it only reports
- Running the check once at launch and never again after an app install

Worked example: you paste `/products/navy-crew` and Offer fails. You do not rewrite the description. You open a ticket: “Product JSON-LD missing price/availability on the main PDP template.” Developer checks the theme’s product schema snippet. You re-paste until Offer passes, then click Ask ChatGPT and confirm it reads the live price.

That is the whole how-to. Five minutes per URL beats another unread SEO PDF — paste, ticket the reds, re-run, then ask an assistant.

### FAQ

**Do I need to be logged into Shopify to run the SEO & AI Audit?**

No. The check reads public HTML only. There is no admin login, no collaborator access and no app install. Paste a storefront URL and read the pass/fail list.

**Why did my homepage and product get different checks?**

Because the page types need different structured data. A product needs offer clarity; a homepage needs shop identity and catalogue links. That difference is intentional.

**How do I opt out of the SEO & AI Audit?**

Add the ninety9-readiness meta tag in theme.liquid, or the CRO audit opt-out tag (content="no" or content="no,delete"), which also stops this check. Erasing stored CRO reports only happens on the CRO audit page.

**Is there a PDF report?**

The on-page list is the artefact. Copy fails into your ticket tracker or a shared sheet with the date and theme name. There is no downloadable PDF from the check.

**How do I run the ChatGPT SEO check on a password-protected store?**

Paste the store URL, submit, and enter the storefront password from Online Store → Preferences when asked. That password is what shoppers type, not staff login details.

**Which URL should I paste first?**

Start with the homepage for shop identity, then a bestseller for offer markup, then a merchandised collection and a policy page. Each page type teaches you something the others will not.

**Does a passing audit mean ChatGPT already cites my store?**

No. Do not expect a citation score. The check tells you whether the page is readable. After the list, use the built-in buttons to ask an assistant about that URL and compare the answer to reality.

## Shopify Collection Pages for AI Search — Beyond the Grid

URL: https://ninety9.dev/blog/shopify-collection-seo-for-ai.html
Published: 2026-09-03 (updated 2026-09-21)
Category: SEO & AI
Reading time: 6 minutes

Shopify collection SEO for AI search: CollectionPage and ItemList markup, breadcrumbs, real descriptions and crawlable product links. A merchant checklist.

A Shopify collection page is AI-ready when it is marked up as a CollectionPage or ItemList, carries breadcrumbs and a real description, and links its products in plain HTML that a crawler can follow without running scripts. Collections are how buyers — and models — understand your categories. A pretty grid without collection markup is a missed answer to "what does this brand sell for X?"

## What is collection structured data?

Structured data is a hidden block of code (JSON-LD) in a page's HTML that labels facts for machines. On a collection page, the relevant schema.org types are **CollectionPage** — "this page is a curated group of things" — and **ItemList** — "here are the items, in order, with their URLs." Some themes emit one, some both, some neither. The goal is that a machine reading the page learns three things: this is a category, here is what it is called, here are the products in it.

## Why do collection pages matter to AI assistants?

Shoppers ask category questions far more often than product questions: "best merino base layers for hiking," "who makes sustainable yoga mats." The honest answer to those questions is a collection page, not a single product. If your collection is machine-readable, an assistant can say "Brand X has a range of merino base layers" and link the collection. If it is an unlabelled grid loaded by script, the assistant either skips you or picks one product out of context.

Collections are also the middle layer of your category graph: brand → collections → products. [Breadcrumbs](/blog/shopify-breadcrumbs-schema-ai.html) connect products up to collections; collection markup connects collections down to products.

## The merchant checklist for a collection URL

- Collection structured data present (CollectionPage and/or ItemList).
- Name in markup matches the visible heading and the og:title.
- og:title and og:image set so shared links preview.
- Description with real substance, visible on the page.
- Breadcrumbs visible and in BreadcrumbList.
- Products discoverable as links in the first HTML response.
- Not noindex; canonical points at the collection itself.
- robots.txt allows the AI bots you want.

## How do I make a Shopify collection AI-readable? (step by step)

1. **Write the description.** Products → Collections → your collection → Description. Two to four sentences: who it is for, materials or use cases, how it differs from neighbouring collections.
2. **Set the search engine listing.** At the bottom of the same screen, edit the page title and meta description so they match the visible heading.
3. **Check the theme shows the description.** Online Store → Themes → Customize → open a collection → make sure the collection banner or header section displays the description rather than hiding it.
4. **Confirm product links render in HTML.** View the live collection's page source and search for `/products/`. You should see anchors for the first page of products. If not, ask your theme partner to render the first page server-side and keep infinite scroll as an enhancement.
5. **Add or verify collection JSON-LD.** In Online Store → Themes → ⋯ → Edit code, look in the collection template or a snippet with `json` or `schema` in the name. If nothing emits CollectionPage or ItemList, a developer can add a small block that loops over the collection's products.
6. **Add breadcrumbs** if the theme does not already show them.
7. **Verify** (next section), then add durable collections to llms.txt.

## How do I verify a collection page?

1. Incognito window: confirm heading, description and product grid all appear.
2. View page source: search for `ld+json`, `/products/`, `noindex` and `canonical`.
3. Google's Rich Results Test: confirm Breadcrumbs, and check that the ItemList (if present) has no errors.
4. Search Console → Pages: confirm the collection is indexed, not excluded.
5. Paste `/collections/your-handle` into the SEO & AI Audit — the free [ChatGPT SEO check for Shopify stores](/chatgpt-seo/) — and fix the reds before pouring ad spend into that grid.

## Worked example: a skincare store's "sensitive skin" collection

Say a skincare brand runs ads to `/collections/sensitive-skin`. The page has a heading, twelve products and no description. Markup: none. Products load only by script after the first paint. An assistant asked "which skincare brands have a sensitive-skin range" cannot confirm the range exists from this page. The fixes: a three-sentence description ("Fragrance-free formulas for reactive skin, dermatologically tested, suitable for use with retinoids…"), the first twelve products rendered as HTML links, CollectionPage plus ItemList emitted by the theme, breadcrumbs on. After the change, the collection reads as a named category with twelve named products — a quotable answer.

## What are the common mistakes?

| Mistake | Effect | Fix |
|---|---|---|
| Description empty or hidden by theme | Nothing to quote | Write it and show it |
| Grid loaded only by JavaScript | Empty page to crawlers | Server-render first page |
| Title stuffed with synonyms | Reads as spam | One clear name |
| Seasonal collections in llms.txt | Dead links next quarter | Core collections only |
| Collection noindexed by an SEO app test | Invisible to everyone | Remove noindex, re-check |

## When should you not optimise a collection for AI?

Empty or "coming soon" collections should be unpublished or noindexed until stocked. Automated campaign collections that last a fortnight are not worth markup effort beyond what the theme gives you for free. Focus on the six to ten collections that define what your brand sells.

Treat collections as category answers, not only filters — and make sure a machine can read the answer.

### FAQ

**What is CollectionPage structured data on Shopify?**

CollectionPage is a schema.org type, delivered as JSON-LD in the page's HTML, that tells machines the page is a curated group of items. It is usually paired with an ItemList that names and links the products shown. Together they let Google and AI assistants read a Shopify collection as a category rather than an anonymous page of images.

**Does infinite scroll hurt AI readability of collections?**

If the first HTML response has no product links, yes. Crawlers and AI fetchers that do not run scripts see an empty grid. Make sure the first page of products is rendered as real anchor links in the HTML, with pagination links to the rest, and use infinite scroll only as an enhancement.

**Should every Shopify collection be in llms.txt?**

Only the durable ones: core categories you will still sell next year. Leave out seasonal filters, sale collections and automated collections created for a campaign. A short list of six to ten collections is more useful to a model than sixty.

**What should I do with an empty collection marked coming soon?**

Do not advertise it to assistants. Either unpublish it until it has stock or add noindex to that collection's template so models do not learn an empty category. Re-enable indexing once products are live.

**How long should a Shopify collection description be?**

Two to four sentences that say who the collection is for, what materials or use cases it covers, and how it differs from neighbouring collections. Write for a shopper reading it, not for a keyword tool. Models quote specifics, not synonym lists.

**Collection page or product page — which should I fix first for AI?**

Both, but for different reasons. Collections explain the set and answer category questions; products hold the offer with price and availability. If a campaign points at a collection, fix the collection and its hero product together before spending.

## Shopify Homepage Schema for AI — Shop Identity Models Trust

URL: https://ninety9.dev/blog/shopify-homepage-schema-ai.html
Published: 2026-09-03 (updated 2026-09-21)
Category: SEO & AI
Reading time: 6 minutes

Shopify homepage schema for AI: add Organization and WebSite JSON-LD, align your brand name everywhere and link into the catalogue so models trust you.

Your Shopify homepage needs Organization and WebSite structured data, one consistent brand name across the H1, browser title and markup, and plain HTML links into your collections. That is how ChatGPT, Perplexity and Google learn who you are and how to walk your catalogue. A campaign video with no shop identity in structured data reads as anonymous marketing — models will describe you from someone else's page instead.

## What are Organization and WebSite schema?

Both are schema.org types delivered as JSON-LD, a hidden block of code in the page's HTML that labels facts for machines. **Organization** describes the company: name, URL, logo, and `sameAs` links to official social profiles. **WebSite** describes the site: name, URL and, optionally, a **SearchAction** that tells machines how your on-site search works (`/search?q={search_term_string}`). Together they answer the first two questions any assistant has about a store: who is this, and how do I look things up here?

## Why does homepage schema matter for AI answers?

Assistants build a picture of a brand from the most authoritative page they can fetch, and the homepage is where they start. If that page carries a clear Organization with a name and logo, everything else on the site inherits that identity. If it carries nothing — or three different spellings of the brand — the model either hedges ("a store that appears to sell…") or relies on a marketplace listing or review site to describe you.

The homepage also has to be walkable. A model needs real links to collections and products to understand the catalogue. A single "Shop now" button whose destination is set by script is a dead end for anything that does not run JavaScript.

## What do models look for on the homepage?

- A stable **shop name** that matches the H1 or logo alt text, the browser title and the JSON-LD `name`.
- A **description** that says what you sell and for whom, not a slogan.
- A **logo or image** URL that loads.
- **Paths into products or collections**: at least a handful of plain HTML links.
- **og:title, og:description and og:image** so shared links preview correctly.
- A **canonical** pointing at the bare domain.

## How do I fix homepage schema on Shopify? (step by step)

1. **Set the store name once.** Settings → Store details → Store name. Themes and apps read from here.
2. **Upload a logo** in Online Store → Themes → Customize → Header (or Theme settings → Logo). Many themes use this file for the Organization `logo`.
3. **Add social links** in Theme settings → Social media. Themes that emit Organization use these for `sameAs`.
4. **Check what the theme emits.** Open the live homepage, right-click → View page source, search for `ld+json`. Look for `"@type": "Organization"` and `"WebSite"`. Dawn and many recent themes emit both; some emit only one; some emit none.
5. **Fill the gaps.** If markup is missing, a developer adds a small JSON-LD block to `theme.liquid` (Online Store → Themes → ⋯ → Edit code → Layout → theme.liquid) inside a condition that runs only on the homepage. If an SEO app already emits Organization, do not add a second one.
6. **Align the names.** Make the H1 or logo alt, the homepage title in Online Store → Preferences, and the JSON-LD `name` identical.
7. **Add catalogue links.** Make sure the homepage has a visible section — featured collections, a menu in the header — that renders collection links in HTML.

## How do I verify the homepage?

1. Paste the bare domain into Google's Rich Results Test and check for an Organization or WebSite entity with no errors.
2. In view-source, count the `/collections/` and `/products/` links. Zero is a problem.
3. Paste the domain into a chat message and confirm the Open Graph preview shows your name and image — see [Open Graph previews](/blog/open-graph-shopify-ai-previews.html).
4. Paste the bare domain into the [ChatGPT SEO check for Shopify stores](/chatgpt-seo/) and fix identity and preview rows first.
5. Use the ask buttons and see whether the assistant names your brand and describes what you sell.

## Worked example: fixing an anonymous homepage

Say a candle brand's homepage is a full-screen video, a "Shop now" button and a footer. View-source shows no `ld+json`, the browser title is "Home," and the H1 is a logo with empty alt text. An assistant asked about the brand describes it from a marketplace listing. The fixes take an afternoon: store name confirmed in Settings, logo uploaded with alt text, homepage title changed to the brand name plus a short descriptor, Organization and WebSite JSON-LD added to `theme.liquid`, and a featured-collections section with four HTML links added under the video. Next check: the Rich Results Test shows an Organization, and the audit's identity rows go green.

## What are the common mistakes?

| Mistake | Effect | Fix |
|---|---|---|
| Three brand spellings (H1, title, JSON-LD) | Assistant hedges on identity | One canonical name everywhere |
| Theme and SEO app both emit Organization | Conflicting entities | Disable one source |
| Logo URL points at a broken or tiny image | Weak identity signal | Upload a proper logo |
| Only a "Shop now" button, destination set by script | Catalogue unreachable | Add HTML collection links |
| SearchAction pointing at a search page that does not exist | Invalid markup | Match your real `/search` URL or remove it |

## When is homepage schema not the first priority?

If your products still lack Offer markup with price and availability, fix those first — they carry the transaction and answer the questions shoppers actually ask. Homepage identity is the second job. If your brand sells only through one landing page and has no collections, the homepage effectively is the product page; treat it that way and mark it up as a Product.

Your homepage is the handshake. Make it machine-legible: one name, one logo, real links in.

### FAQ

**What is Organization schema on a Shopify homepage?**

Organization schema is a JSON-LD block that states your legal or trading name, website URL, logo and official social profiles in a machine-readable way. It gives Google and AI assistants a single trustworthy source for who runs the store. WebSite schema sits alongside it and describes the site itself, optionally including a SearchAction.

**My homepage is mostly a campaign. Is that bad for AI?**

Campaigns are fine as long as structured identity still exists and shoppers can reach collections from the HTML. The problem is a homepage where the only content is a video and a single Shop now button with no Organization markup and no visible links into the catalogue.

**Do I need a logo in Organization schema?**

Strongly recommended. A logo URL that loads makes the Organization entity clearer and gives Google an image to associate with your brand. Use a square or wide PNG hosted on your own domain or Shopify's CDN, not a third-party link.

**Should the homepage be in llms.txt?**

Yes, usually as the first link with a one-line brand summary. It anchors the file: this is who we are, and here are the collections and policies that matter. Follow it with your core collections rather than campaign pages.

**Does Shopify add Organization and WebSite schema automatically?**

Many recent themes, including Dawn, emit basic Organization and WebSite JSON-LD on the homepage, but the fields depend on your theme settings, store name and logo upload. Verify on the live homepage with view-source or the Rich Results Test, and check that the name matches your H1 and browser title.

**Can the CRO Audit replace a homepage AI check?**

No. The CRO Audit resolves a homepage to a bestselling product and looks at what stops the sale there. The SEO & AI Audit scores the homepage URL itself for identity, previews and catalogue links. Use both for different questions.

## Open Graph on Shopify — Why AI and Social Previews Still Matter

URL: https://ninety9.dev/blog/open-graph-shopify-ai-previews.html
Published: 2026-09-02 (updated 2026-09-21)
Category: SEO & AI
Reading time: 6 minutes

og:title and og:image keep Shopify previews coherent for humans and help models align on the page name and image. Check every key template.

Open Graph is not only for Facebook unfurls. On Shopify, og:title and og:image keep the page’s name and image coherent everywhere a preview is built — Slack, WhatsApp, social posts — and they help models align on the same entity the shopper sees. If those tags are missing, relative, or disagree with your H1, humans share the wrong product and assistants describe the wrong name.

## What is Open Graph on Shopify?

Open Graph (OG) is a small set of meta tags in the page head. The pair that matters for merchants is:

- **og:title** — the name the preview should show
- **og:image** — the image the preview should show (absolute HTTPS URL)

Themes emit these tags from the template: homepage, collection, product, blog post, page. Shopify does not magically invent a correct product image if the theme or an SEO app leaves the tag blank or points at a relative path.

OG is packaging. It does not replace [Product JSON-LD](/blog/shopify-product-schema-for-ai.html), and it is not a substitute for a clear H1. It is the label on the box when the URL travels.

## Why AI and social previews still matter

Merchant symptom: Slack unfurls show last season’s colourway. WhatsApp shows the logo instead of the product. ChatGPT describes a different name than your H1. Those failures often trace to weak or conflicting previews, not to a mysterious ranking algorithm.

Humans click (or ignore) whatever the unfurl shows. Models that fetch the HTML also see og:title as a named label next to the H1 and the structured name. When those three disagree, the safest behaviour for a model is to hedge — or to pick the wrong string.

OG is not a classic ranking factor. It is still a trust and alignment factor. Mismatched previews cost you shares and confuse entity matching.

## What is the minimum viable OG setup?

For every key template:

1. **Unique og:title** that matches the customer-facing name (not a stuffed keyword string).
2. **Absolute HTTPS og:image** that actually loads — open it in a new tab.
3. **Real photography on products** rather than a logo-only square when you have a product shot.
4. **Sensible defaults on the homepage** (brand name + a brand image) so empty templates do not unfurl blank.

A single default OG image for the whole site is better than nothing on the homepage. It is not enough for PDPs. Collections should use a merchandised image, not whichever SKU the theme grabbed first.

## Align the trio: H1, structured name, og:title

When names diverge, pick the customer-facing name and make all three match.

| Surface | Should say |
|---|---|
| Visible H1 | The name shoppers read |
| JSON-LD `name` | The same string |
| og:title | The same string |

If the H1 is “Merino Crew — Navy”, do not let og:title say “Best merino jumper UK | Brand” and JSON-LD say “Crew Neck SS24”. Models and unfurls will pick at random.

The same rule applies to the homepage: shop name in Settings → Store details, Organization/WebSite name in markup, and og:title should agree.

## How to add and check Open Graph on Shopify

1. Open a live product URL, a collection, and the homepage in incognito.
2. View page source. Search for `og:title` and `og:image`.
3. Copy the image URL. It must start with `https://` and load. Relative paths (`//cdn.shopify.com/...` can work; `/cdn/...` often fails for unfurls).
4. In Online Store → Themes → Customize, check the template’s featured image and SEO / social preview fields if the theme exposes them.
5. If an SEO app is installed, decide it is the only emitter of OG tags — or turn its OG output off and keep the theme’s.
6. Share the URL in a private Slack or WhatsApp channel. Confirm the unfurl matches the H1 and the product photo.

Where the tags live: usually `theme.liquid` or a snippet the theme includes in `<head>`. Product images should pull from the product’s featured media, not a hardcoded asset.

## Common Open Graph mistakes

- **Duplicate OG tags** from the theme plus two SEO apps. Keep one source of truth.
- **Relative or broken images** that 404 on the CDN after a file rename.
- **One logo for every product.** Fine as a last resort; weak for shopping unfurls.
- **Preview titles that disagree with the H1** because someone “optimised” the social title separately and never revisited it.
- **Checking only the homepage.** Collection and product templates are where most unfurl complaints come from.

## How to verify fast

Run the [ChatGPT SEO check for Shopify stores](/chatgpt-seo/) and watch the preview row. The SEO & AI Audit flags a missing preview title or image on the URL you paste. Then do the human check: paste the same URL into Slack.

After a theme update or SEO app change, re-check one URL per template. Previews break silently; nobody gets an admin notification.

If you sell through Shopify Markets, check a URL per market you share publicly. A UK og:title with a US product image — or a translated H1 with an English og:title — is the same trio problem on a different hostname. Fix the template that serves that market, not only the primary domain homepage.

Previews are packaging. Pack them on purpose so shoppers and models see the same product you put on the page.

### FAQ

**What is Open Graph on a Shopify store?**

Open Graph is a set of meta tags — chiefly og:title and og:image — that tell apps and crawlers the page’s display name and preview image. Shopify themes usually emit them in the document head. They power Slack, WhatsApp and social unfurls, and they give models a consistent name and image to align on.

**Is Open Graph a Google ranking factor?**

Not in the sense of a classic ranking signal you can chase. Mismatched or missing previews still hurt clicks when someone shares the URL, and they confuse entity alignment when the H1, schema name and og:title disagree.

**Can one default OG image cover the whole Shopify site?**

A default image is better than nothing on the homepage. Product pages deserve their own photography so a shared link does not unfurl as a logo square. Collections should use a merchandised image, not a random SKU crop.

**Do I need Twitter or X cards as well as Open Graph?**

Twitter/X cards are useful extras if you share there. The SEO & AI Audit focuses on the OG pair most themes already share — title and image — because that pair is what most unfurls and alignment checks use.

**Why does Slack show the wrong product when I paste a Shopify URL?**

The unfurl reads og:title and og:image. If those tags are missing, relative, pointing at a CDN 404, or copied from another product by an app, Slack will show the wrong name or image. Fix the tags on that template, then paste the URL again.

**Can multiple SEO apps break Open Graph on Shopify?**

Yes. Multiple SEO apps often emit duplicate OG tags. Browsers and crawlers then pick one arbitrarily. Keep a single source of truth — the theme or one SEO app — and disable the rest.

**How do I check Open Graph without a developer?**

View page source and search for og:title and og:image. Confirm the image URL is absolute HTTPS and loads in a new tab. Paste the shop URL into a private Slack or WhatsApp chat and confirm the unfurl. The ChatGPT SEO check for Shopify stores flags a missing preview title or image.

## Shopify Blog Structured Data for AI — Author, Date, Headline

URL: https://ninety9.dev/blog/shopify-blog-structured-data-ai.html
Published: 2026-09-02 (updated 2026-09-21)
Category: SEO & AI
Reading time: 6 minutes

Shopify blog structured data for AI: mark posts as BlogPosting with headline, author and date, fix the blog index, and verify so assistants cite you.

Shopify blog structured data means marking each post as an Article or BlogPosting with a headline, author, publish date and image so that Google and AI assistants recognise it as a real article rather than an anonymous page. Add a followable blog index, a self-referencing canonical and Open Graph tags, and your guides become quotable sources in ChatGPT, Perplexity and AI Overviews. Most Shopify themes get you part of the way; the rest is verification.

## What is BlogPosting structured data?

BlogPosting is a schema.org type — a shared vocabulary for labelling web content — delivered as JSON-LD, a small hidden block of code in the page's HTML. It tells machines "this page is an article, here is the headline, here is who wrote it, here is when." Article is the broader type; BlogPosting is the specific version for blog posts. Either works. What matters is that the fields exist and match the visible page.

## Why does blog structured data matter for AI answers?

Assistants weigh sources by how confidently they can identify them. A post with a clear headline, named author and date reads like journalism or documentation. A post with none of those reads like a template page. When two stores publish similar guides, the one with clean article markup, a real author and a date is easier to cite — and easier to attribute back to your brand, which is the point.

Structured data also feeds Google's article understanding and, when present, the dates and author shown in results.

## What must every Shopify blog post expose?

- **Headline** that matches the H1, the og:title and the structured `headline`.
- **Author** — a real name or your brand as Organization, shown on the page and in markup.
- **datePublished** and, when you update, **dateModified**.
- **Image** — an absolute URL to the featured image that actually loads.
- **Canonical** pointing at the post's own `/blogs/<blog>/<handle>` URL.
- **Open Graph** title, description and image so shared links preview correctly. See [Open Graph on Shopify](/blog/open-graph-shopify-ai-previews.html).

## What must the blog index expose?

The blog home at `/blogs/news` (or whatever you named it) should tell a crawler it is a list of articles and link to them in plain HTML. If your theme loads posts only by script or infinite scroll, the first HTML response may contain no article links at all, and a crawler that does not run scripts sees an empty page. A Blog or CollectionPage type with an ItemList of posts is ideal; plain anchor links are the minimum.

## How do I fix blog structured data on Shopify? (step by step)

1. Publish or open a live post and view it in an incognito window.
2. Right-click → View page source and search for `ld+json`. Look for `"@type": "Article"` or `"BlogPosting"` and check headline, author, datePublished and image.
3. Paste the URL into Google's Rich Results Test. Note missing or invalid fields.
4. If fields are missing, open Online Store → Themes → ⋯ → Edit code and look in the article section or a snippet with `json` or `schema` in the name. Your theme partner can add the missing properties in a few lines.
5. Set the Author field in Online Store → Blog posts → the article, and add a featured image and excerpt.
6. Run the [ChatGPT SEO check for Shopify stores](/chatgpt-seo/) on the article URL and the blog index URL.
7. If the post is a flagship guide, add it to your llms.txt — see the [llms.txt guide](/blog/shopify-llms-txt-guide.html).

### Where the fields come from in Shopify

| Field | Shopify source |
|---|---|
| headline | Article title |
| author | Author dropdown in the article sidebar |
| datePublished | Publish date on the article |
| image | Featured image |
| description | Excerpt (or the meta description in Search engine listing) |

## Worked example: a coffee roaster's brewing guide

Say a roaster publishes "How to dial in a V60 for light roasts." Live checks show the theme emits BlogPosting with headline and image but no author and a date of the theme's build day. An assistant asked for V60 guidance may quote the page but cannot attribute it or judge freshness. The fix is a real author name, `article.published_at` in the date field, and a canonical that matches. After republishing, the Rich Results Test shows a valid Article, and the guide goes into llms.txt as one of five evergreen posts.

## What are the common mistakes?

- Author set to "Shopify" or a staff login like "admin" instead of a person or the brand.
- Featured image missing, so the `image` field is empty or points at a placeholder.
- Duplicate article markup from a theme plus an SEO app; pick one source.
- FAQPage markup on posts that have no visible FAQ.
- Blog index that only exposes posts via JavaScript.

## Link to products honestly

When a post mentions a product, link the actual `/products/handle` URL with plain anchor text. Assistants follow those paths to connect your advice to your catalogue, and shoppers do the same. Do not hide product links behind buttons rendered only by script.

## When is blog structured data not the priority?

If your product pages still lack Offer markup with price and availability, fix those first — they carry the transaction. Article markup on a blog nobody links to will not rescue a catalogue that assistants cannot read.

Your blog is only AI-ready when dates, authors and headlines are machine-obvious and the index can be followed without a script.

### FAQ

**Does Shopify add Article schema to blog posts automatically?**

Often partially. Many themes emit Article or BlogPosting JSON-LD from the article section, but author and date fields are sometimes missing or hard-coded. Verify on a live post with view-source or the Rich Results Test rather than trusting the theme description.

**What fields does BlogPosting structured data need?**

At minimum a headline that matches the visible title, an author (Person or Organization), datePublished, a representative image URL and the canonical URL of the post. dateModified and a short description are useful extras. Every value should match what the reader sees on the page.

**Are FAQs on Shopify blog posts useful for AI?**

Yes when the questions and answers are visible on the page and marked up as FAQPage. Hidden FAQ markup with no on-page FAQ is noise. The audit checks FAQPage when FAQs exist on the page.

**Should blog posts go in llms.txt?**

Add your best evergreen guides, the ones you would want an assistant to quote when someone asks about your category. Leave out news updates, seasonal announcements and thin posts.

**How do I change the author shown on a Shopify blog post?**

Open the article under Online Store → Blog posts and change the Author field in the sidebar, which lists staff accounts. Your theme prints that value in the article and usually in the structured data. Use a real, consistent name.

**Do thin affiliate blog posts help AI discovery?**

They rarely earn citations. Assistants prefer pages with original proof, such as your own tests, photos, data or expertise. Write fewer posts with substance rather than many generic ones.

## Canonical URLs on Shopify — Stop AI from Citing the Wrong Page

URL: https://ninety9.dev/blog/canonical-urls-shopify-ai.html
Published: 2026-09-01 (updated 2026-09-21)
Category: SEO & AI
Reading time: 6 minutes

Bad canonicals make ChatGPT and Google cite duplicates or filtered collections. Shopify canonical URL rules, and how the SEO & AI Audit validates them.

A canonical URL is the address a page declares as its official version, and on Shopify the rule is simple: product pages canonical to the product URL, collections to the collection, articles to the article, and the homepage to itself. When ChatGPT, Perplexity or Google cite a filtered collection, an old HTTP address or a tracking-parameter variant instead of your real page, a missing or misdirected canonical is usually why — and you can catch it without reading the HTML spec.

## What is a canonical URL?

A canonical URL is set in the page's head with a `link rel="canonical"` tag. It says to every crawler: of all the addresses that can load this content, this one is the original. Search engines consolidate ranking signals on it, and AI assistants that fetch pages tend to cite whatever URL the page itself calls primary.

Shopify themes output the tag automatically from the `canonical_url` object in theme.liquid. That is why a product reached via /collections/candles/products/vanilla-soy declares /products/vanilla-soy as canonical. The default is sensible; problems arrive when apps, custom code or migrations override it.

## Why do AI assistants cite the wrong URL?

Because they repeat the strongest signal they trusted. Three patterns cause most wrong citations on Shopify stores:

- **Duplicate paths.** The same product exists under several collection paths, with tracking parameters, or on both http and https. Without a clear canonical each copy competes.
- **Aggressive "canonicalise everything" apps.** Some SEO apps or copied snippets point every page at the homepage, which tells models that your products are copies of the homepage.
- **Migration leftovers.** A move to a new domain, a headless front end or a Markets subfolder leaves canonicals pointing at the old host.

The result is an assistant that answers "where can I buy X" with a filtered collection URL, a stale domain or a page that redirects.

## Merchant rules of thumb for Shopify canonicals

| Page type | Canonical should point at | Never point at |
|---|---|---|
| Product | Its own /products/handle URL | Homepage, a collection, a variant parameter |
| Collection | Its own /collections/handle URL | Homepage, a filtered version |
| Blog article | Its own article URL | The blog index |
| Homepage | The bare HTTPS domain | A landing page or campaign URL |
| Policy page | Its own /policies/ or /pages/ URL | Homepage |

Parameters such as `?variant=`, `?utm_source=` or `?filter.p.tag=` should not create a second primary URL. The filtered collection page should still declare the unfiltered collection as canonical unless you have deliberately built indexable filter landing pages and know why.

## How to check canonicals on Shopify

1. Open the URL shoppers actually share — the one in your Instagram bio or the ad destination, parameters and all.
2. View the page source and search for `rel="canonical"`. Confirm there is exactly one tag.
3. Check the value is an absolute HTTPS URL on your live domain.
4. Check it matches the page type: product to product, collection to collection.
5. Paste the same URL into the [ChatGPT SEO check for Shopify stores](/chatgpt-seo/). If the canonical row reports it missing or pointing at the wrong kind of page, fix theme or app settings before any content work.
6. Repeat for your homepage, a collection, a product and a policy page. Four checks cover most templates.

## How to fix common canonical problems

### Two canonical tags on one page

Almost always two SEO apps, or an app plus the theme, both emitting the tag. Disable one source. One head, one canonical.

### Everything points at the homepage

Find the app or snippet responsible and remove the override. Restore the theme's default `{{ canonical_url }}` output.

### Canonical still shows the old domain or http

Search theme.liquid and any SEO app settings for a hard-coded host. Replace with the dynamic object. Then re-audit the top templates.

### Variant URLs indexed separately

Shopify's default canonical strips the variant parameter. If yours does not, an app has replaced it; revert to the default.

## A worked example

Say you sell a £120 desk lamp. Your ads send shoppers to /collections/sale/products/desk-lamp?utm_source=meta. A shopper asks Perplexity for "the best desk lamp under £150" and it cites /collections/sale?filter.p.product_type=lamps — a filtered sale page, not your product. You check the source: an SEO app installed last year points every collection and product at the collection root.

Removing that override restores the product canonical to /products/desk-lamp. The next time an assistant fetches the page, the URL it is told to trust is the one that carries the price, the images and the add-to-cart button.

## Common canonical mistakes on Shopify

- Installing a second SEO app to "fix" canonicals the first one broke.
- Treating canonical as a substitute for removing noindex. It is not; see [noindex is killing your Shopify AI discovery](/blog/noindex-killing-ai-discovery-shopify.html).
- Pointing sold-out products at the homepage instead of leaving them as products.
- Forgetting to re-audit after enabling Shopify Markets, changing the primary domain or moving to a headless storefront.
- Hard-coding the domain in the theme so staging themes publish production canonicals or vice versa.

## When to leave canonicals alone

If your store uses Shopify's default theme output, has one SEO app or none, and the audit's canonical row passes on all four page types, do nothing. Canonical work is only urgent when assistants or search results cite the wrong URL, or when you have just changed domains, Markets or front end. In that case re-audit your top templates the same day — canonical bugs love migrations. For the wider picture of what structured signals models rely on, the [Shopify JSON-LD checklist for merchants](/blog/shopify-json-ld-checklist-merchants.html) pairs well with this one.

Own one URL per idea. Canonicals are how you say it out loud to machines.

### FAQ

**What is a canonical URL on Shopify?**

A canonical URL is the address a page declares as its official version in a link rel=canonical tag. Shopify themes output it from the canonical_url object, so a product reached through a collection path points back to the plain /products/ URL.

**Should every page canonical to the homepage?**

Almost never. Pointing products or collections at the homepage tells search engines and AI models that those pages are copies of the homepage, which erases product identity and makes assistants cite the wrong URL.

**How should canonicals work with Shopify Markets or currency subfolders?**

Follow your Markets configuration consistently rather than hand-rolling a clever rule. Each market's page should declare a canonical that matches how you want that market indexed, and the same rule should apply across every template.

**Does the canonical have to be HTTPS?**

Yes, in production use an absolute HTTPS URL. An http:// canonical or a relative path is a signal that the page is misconfigured and can send crawlers to a redirect chain.

**Can a canonical tag fix a noindex mistake?**

No. noindex and canonical are separate signals. If a page is marked noindex, remove that tag first; a correct canonical on a noindex page still tells systems not to use it.

**How do I check my Shopify canonical tags?**

View the page source and search for rel=canonical, or paste the URL into the SEO & AI Audit, which reports whether the canonical is missing or points at the wrong kind of page for that template.

## Perplexity, Claude, and Google-Extended on Shopify — Who Can Crawl You?

URL: https://ninety9.dev/blog/perplexity-claude-google-extended-shopify.html
Published: 2026-09-01 (updated 2026-09-21)
Category: SEO & AI
Reading time: 6 minutes

AI discovery is more than ChatGPT. See how PerplexityBot, ClaudeBot and Google-Extended interact with Shopify robots.txt, then audit the live file.

ChatGPT is not the only assistant your shoppers use. Perplexity, Claude and Google’s AI surfaces have their own crawlers — PerplexityBot, ClaudeBot and Google-Extended — and your Shopify robots.txt may already be talking to them. Open the live file, see who is Disallowed, and decide on purpose rather than inheriting an app snippet.

## What is the multi-assistant crawl picture?

Your buyer might ask ChatGPT, Claude, Perplexity or Gemini. Each ecosystem has crawl norms and a user-agent string in robots.txt. A GPTBot-only fix is incomplete: you can unblock OpenAI’s crawler and still be silent to Perplexity or Google’s AI-related token.

Think in four named agents merchants actually ask about:

| User-agent | Typical association |
|---|---|
| GPTBot | OpenAI / ChatGPT-related fetching |
| ClaudeBot | Anthropic / Claude-related fetching |
| PerplexityBot | Perplexity fetching |
| Google-Extended | Google AI / Gemini-related uses (not the same as Googlebot) |

Googlebot is the Search crawler. It is a separate decision from Google-Extended. Allowing one does not silently allow the other.

## Why Shopify merchants should read robots.txt

Shopify serves `/robots.txt` for the shop domain. Themes (`robots.txt.liquid`) and apps can append rules. That is how a “block AI scrapers” preset lands on a live catalogue you wanted assistants to fetch.

Accidental Disallow is the bug. Allow or deny is a policy decision. If legal or brand risk says “no training crawlers,” write that down and match the file. If you sell products people ask assistants about, blocking every AI bot means those tools will describe you from third-party pages — or invent you.

Crawl load from these bots is usually minor compared with ads traffic. Monitor logs if you are on a fragile stack; do not copy a blanket Disallow from a forum post as “performance hygiene.”

## How to read the live file

1. Open `https://yourstore.com/robots.txt` in the browser (replace with your domain).
2. Search the page for `GPTBot`, `ClaudeBot`, `PerplexityBot`, `Google-Extended`.
3. For each match, read the `Disallow` lines under that `User-agent`. `/` means the whole store is off limits to that bot.
4. Note rules you did not author — especially blocks added after an SEO or security app install.
5. Keep a screenshot or a copy of the file dated today so the next change is visible.

If the file is long, you are not expected to memorise robots syntax. You are expected to know whether you chose those Disallows.

## Use the audit as a translator

The [ChatGPT SEO check for Shopify stores](/chatgpt-seo/) summarises blocked AI bots found in robots.txt in plain language so founders do not parse a 200-line file under pressure. Paste the homepage (robots is site-wide) and read the crawler row.

It does not change the file. You or your developer edit `robots.txt.liquid` in Online Store → Themes → Edit code, or change the SEO/security app setting that injects the block. Then re-open `/robots.txt` and re-run the check.

Pair this with [GPTBot on Shopify](/blog/gptbot-robots-txt-shopify.html) if OpenAI’s agent is the one you care about first, then come back and confirm the other three.

## Write a one-paragraph crawler policy

Template you can paste into a Notion doc and share with whoever edits the theme:

“We allow [GPTBot / ClaudeBot / PerplexityBot / Google-Extended] to fetch public product, collection and policy pages so assistants can quote accurate names, prices and shipping terms. We disallow [named bots] because [training risk / brand / legal]. We do not block Googlebot unless Search indexing is intentionally off. This policy is reflected in robots.txt and is re-checked after every SEO or security app change.”

Fill the brackets. Be explicit. You can allow GPTBot and still block others. You can allow Googlebot and disallow Google-Extended. Ambiguous files get overwritten by the next app.

Perplexity does not need special schema. Same readability basics as everyone else: clear entities, [indexable pages](/blog/noindex-killing-ai-discovery-shopify.html), and open fetch if you want retrieval.

## Common mistakes

- Fixing GPTBot only and declaring “AI SEO done.”
- Treating Google-Extended as Googlebot.
- Leaving a security app’s `User-agent: GPTBot` / `Disallow: /` in place after a launch.
- Editing a theme file that is not the one Shopify is serving — always view the live `/robots.txt`.
- Never re-checking after an app install.

## How to change the file without breaking Search

Shopify’s default robots.txt already contains rules for checkout, admin and other paths you should not open. When you add or remove AI user-agents, leave those defaults alone.

1. Duplicate the live theme before editing `robots.txt.liquid`.
2. Add explicit `User-agent` blocks only for the AI bots you have a policy on. Do not replace the whole file with a two-line “allow all.”
3. Preview `/robots.txt` on the unpublished theme if you can, then publish.
4. Confirm Googlebot still has access to products and collections — Search is a separate decision from Google-Extended.
5. Re-run the ChatGPT SEO check and keep a dated copy of the file.

If an SEO app offers a “block AI” master switch, treat it as four decisions, not one. Turn the switch off if it Disallows bots you wanted open, then encode the policy in the theme file you control.

## When not to allow every bot

If counsel or brand risk says keep training crawlers out, disallow deliberately and live with discovery happening via Google and third-party mentions. Document it. The failure mode is not “we blocked ClaudeBot.” The failure mode is “we blocked four bots because a template said so, and we still ask why ChatGPT describes last year’s prices.”

Re-read the live file after Black Friday theme rollbacks and after you uninstall the app that “was only for staging.” Those two events restore old Disallows more often than a deliberate policy change.

Know who can fetch you. Then decide — do not inherit someone else’s Disallow.

### FAQ

**Is Google-Extended the same as Googlebot?**

No. Googlebot covers Search. Google-Extended relates to Google’s AI and Gemini uses. You can allow Googlebot and still disallow Google-Extended, or the reverse. Decide separately and write both rules explicitly.

**Does Perplexity need special schema on Shopify?**

No special Perplexity-only schema. Same readability basics apply: clear entities, indexable pages, and open fetch if you want Perplexity to retrieve your pages. Product and Organization JSON-LD help every assistant, not just one.

**Will allowing all AI bots hurt Shopify performance?**

Crawl load is usually minor compared with ads and shopper traffic. If your stack is fragile, monitor server logs and rate-limit at the host — do not copy a blanket Disallow from a forum snippet without a reason.

**Can I allow GPTBot but block ClaudeBot and PerplexityBot?**

Yes. Be explicit in robots.txt for each user-agent and document the choice so the next theme edit does not reverse it. The audit will list who is blocked so you can confirm the file matches the policy.

**Where do I see which AI bots Shopify is blocking?**

Open https://yourstore.com/robots.txt and search for GPTBot, ClaudeBot, PerplexityBot and Google-Extended. Note Disallow rules you did not author. The ChatGPT SEO check for Shopify stores summarises those blocks in plain language.

**Do SEO or security apps change robots.txt on Shopify?**

Often. Apps and copied “block AI” snippets add User-agent blocks you never chose. Re-read the live file after every SEO or security app install or removal.

**Should every Shopify store allow every AI crawler?**

No. Write one paragraph of policy — who you allow for product accuracy, who you disallow for training or brand risk — and make robots.txt match. Accidental Disallow is the problem; a documented deny is a decision.

## Shopify AI Readiness Checklist — 12 Checks Before You Scale

URL: https://ninety9.dev/blog/shopify-ai-readiness-checklist.html
Published: 2026-08-31 (updated 2026-09-21)
Category: SEO & AI
Reading time: 7 minutes

A 12-point Shopify AI readiness checklist for merchants: indexable pages, JSON-LD, robots.txt bot rules, llms.txt, canonicals and live prompt tests.

A Shopify AI readiness checklist is a fixed set of 12 checks that confirm ChatGPT, Perplexity and Google AI Overviews can fetch, understand and quote your store. Run it on four representative URLs — homepage, one collection, one product and one policy page — before you scale ad spend or ship a theme update. Printable beats memorable: a list you run every quarter catches breakage that memory never will.

## What is AI readiness for a Shopify store?

AI readiness means a public page exposes clean, machine-readable facts that an AI model can use without guessing. For an online store that comes down to four things: the page can be fetched (not password-gated, not marked noindex), the page is described in structured data (JSON-LD — a small hidden block of code that labels the shop name, product, price and stock in a format machines read reliably), the crawlers you want are allowed in robots.txt, and an optional llms.txt file at your domain root points models at the pages that matter.

It is not a ranking score and it is not a guarantee of citations. It is the minimum condition for being quoted accurately rather than invented.

## Why run a checklist before you scale?

Theme updates, SEO app installs and catalogue relaunches all change what a crawler sees, and none of them show a warning in Shopify admin. A collection you are about to put $5,000 of ads behind may be marked noindex by a forgotten app setting. A product page may show one price to shoppers and an old price in JSON-LD. A checklist forces the same questions on the same page types every time, so the answer is "we checked" rather than "we assumed."

## The 12 Shopify AI readiness checks

Each check has a merchant-level test you can do yourself.

1. **Production store is not password-gated.** Open the store in an incognito window. If you see the password page, crawlers do too.
2. **Key pages are not noindex.** View page source and search for `noindex`. Also check Search Console → Pages for "Excluded by noindex tag."
3. **Canonicals point at the right page type.** A product's canonical should be `/products/handle`, not a collection-scoped copy. See [canonical URLs on Shopify](/blog/canonical-urls-shopify-ai.html).
4. **og:title and og:image are present.** Search the source for `og:title`. Paste the URL into a Slack or WhatsApp message and confirm a preview appears.
5. **Homepage carries Organization or WebSite markup.** Search the homepage source for `"@type": "Organization"` or `"WebSite"`.
6. **Products carry an Offer with price and availability.** Paste the product URL into Google's Rich Results Test and confirm a Product result with price and availability.
7. **Collections are marked as collections with product links.** The HTML should include real product anchors, not only an infinite-scroll placeholder.
8. **Breadcrumbs exist where you would expect them.** Visible trail plus BreadcrumbList in the source.
9. **Names agree across H1, og:title and JSON-LD.** Three different product names make a model hedge.
10. **AI bot policy is intentional in robots.txt.** Open `/robots.txt` and confirm GPTBot, ClaudeBot, PerplexityBot and Google-Extended are allowed or disallowed on purpose. See [GPTBot and robots.txt on Shopify](/blog/gptbot-robots-txt-shopify.html).
11. **llms.txt is live and useful.** Open `/llms.txt`. It should return short text with links, not a 404 or a theme page.
12. **A prompt test in ChatGPT matches reality.** Ask "What does [store] sell and what does [product] cost?" and compare the answer to the live page.

## How do I run the checklist on a Shopify store?

1. Pick four URLs: homepage, your highest-traffic collection, your best-selling product and your shipping or returns policy page.
2. Open each in an incognito window and note the visible name, price and stock state.
3. Right-click → View page source and search for `ld+json`, `noindex`, `canonical` and `og:title`.
4. Paste each URL into Google's Rich Results Test and note any missing fields.
5. Open `/robots.txt` and `/llms.txt` on your domain.
6. Run checks 1–11 via the SEO & AI Audit — the free [ChatGPT SEO check for Shopify stores](/chatgpt-seo/) — on the same four URLs, and do check 12 manually with the ask buttons.
7. Record pass/fail in one sheet with the date and theme version.

### Where the fixes live in Shopify

Most structured data lives in your theme code: Online Store → Themes → ⋯ → Edit code, then a snippet or section file with `json` or `schema` in the name. robots.txt is edited through a `robots.txt.liquid` template in the same editor. Store name and contact details come from Settings → Store details. Password protection is under Online Store → Preferences.

## Worked example: a fashion store before a Black Friday push

Say a store plans to put ad budget behind `/collections/winter-coats`. The checklist run shows: check 2 fails (an SEO app added noindex to the collection during a test), check 6 passes on the hero coat, check 8 fails (the theme has no breadcrumbs), check 11 fails (no llms.txt). The noindex is a P0 and gets fixed the same afternoon in the app settings. Breadcrumbs go on the theme partner's list for next week. llms.txt is a 20-minute job for marketing. Ads start once check 2 is confirmed fixed in view-source — not once someone "thinks" it is.

## How should I triage failed checks?

| Priority | Fails | Action |
|---|---|---|
| P0 | noindex on key pages, bots blocked that you wanted open, missing product price in markup | Fix before spending a pound on ads |
| P1 | llms.txt missing, breadcrumbs missing, names disagree | Schedule this sprint |
| P2 | FAQ markup, SearchAction, extra Organization fields | Nice to have; batch with next theme work |

## What are the most common mistakes?

- Checking in the theme editor preview instead of the live URL. Apps and customisations only show up live.
- Fixing one product and assuming all products are fixed. Templates differ; check a product on each template.
- Blocking every bot "for safety" and then wondering why AI tools describe the brand from third-party sites.
- Adding review markup when reviews are not shown on the page.

## How often should I re-run it?

Quarterly for the full pass. Ad hoc after theme updates, SEO app changes, or a catalogue relaunch. If a check fails twice in a row for the same reason, the fix is not the checklist item — it is the process that keeps breaking it.

Checklists beat memory. Tape this one next to your launch runbook and refuse to scale spend on a URL that has not passed.

### FAQ

**What is a Shopify AI readiness checklist?**

It is a fixed list of technical and content checks that confirm AI tools such as ChatGPT, Perplexity and Google AI Overviews can fetch, read and quote your Shopify pages. It covers indexability, structured data, robots.txt bot rules, llms.txt, previews and a live prompt test. Running it on four representative URLs takes under an hour.

**Who should own the AI readiness checklist in a Shopify business?**

Marketing usually schedules the run and owns the prompt tests, a developer or theme partner clears the technical fails, and the founder decides the bot policy in robots.txt. Keep one shared results sheet so nobody argues about what passed.

**How long does a full checklist pass take?**

About 30 to 45 minutes for four URLs once you have done it once. The first run takes longer because you will be locating where your theme emits JSON-LD and confirming how your robots.txt is configured.

**Do password-protected Shopify stores fail every check?**

A password-protected storefront is not publicly readable, so public crawlers and AI bots see only the password page. Checks can still be run with the storefront password before launch, but nothing counts as AI-ready until the password is removed.

**How do I check my Shopify store's structured data without a developer?**

Open the live page, right-click and choose View page source, then search for application/ld+json to see the raw JSON-LD. Paste the same URL into Google's Rich Results Test for a readable summary, or run the free ChatGPT SEO check for Shopify stores for a merchant-language pass/fail list.

**How often should I re-run the checklist?**

Do a full pass every quarter and a targeted pass after any theme update, SEO app install or removal, or a large catalogue relaunch. Those three events are the most common causes of silent breakage.

**Is blocking AI bots in robots.txt a legal decision?**

The checklist treats it as an operational choice, not legal advice. Decide deliberately whether GPTBot, ClaudeBot, PerplexityBot and Google-Extended may fetch your pages, then make robots.txt match. Speak to counsel if you need policy wording.

## Shopify AI SEO Audits for Agencies — A 90-Second Client Artefact

URL: https://ninety9.dev/blog/agency-shopify-ai-seo-audit.html
Published: 2026-08-31 (updated 2026-09-21)
Category: SEO & AI
Reading time: 6 minutes

Agencies: deliver a Shopify AI SEO audit clients act on — URL-level schema, robots.txt and llms.txt fails in 90 seconds, using the free ChatGPT SEO check.

Agencies should deliver a Shopify AI SEO audit as a 90-second artefact, not a 40-page PDF: paste the client's homepage, best-selling product and shipping policy into the free ChatGPT SEO check for Shopify stores, screenshot the URL-level fail list, and assign an owner to each row. Clients act on "the price ChatGPT can trust is missing on this URL"; they do not act on a slide about generative engines.

## What is a 90-second client artefact?

A 90-second artefact is a single screen the client can read in the time it takes to pour a coffee: three URLs, each with a short list of pass and fail rows written in merchant language, and an owner next to every fail. It answers one question — can AI assistants and search engines read this store accurately — and stops there.

The [ChatGPT SEO check for Shopify stores](/chatgpt-seo/) produces exactly that shape. It reads the public page, reports structured data gaps, blocked AI bots in robots.txt, missing llms.txt and preview problems, and does not require collaborator access or a login.

## Why do clients ignore AI SEO decks?

Because most decks mix five disciplines into one grade. Core Web Vitals, backlinks, "write for ChatGPT" advice and a schema audit end up on the same page, so the founder cannot tell which item to fund. A blended "AI readiness score" of 61 tells nobody what to do on Monday.

Founders respond to three things: a URL they recognise, a fail they can picture and a name next to it. Everything else is context they will skim.

## How to build the artefact in 90 seconds

1. Ask the client which product pays the bills. That is the money URL.
2. Open the ChatGPT SEO check and paste the homepage. Screenshot the result.
3. Paste the money product URL. Screenshot.
4. Paste the shipping or returns policy page. Screenshot.
5. Put the three screenshots on one slide with a column headed "Owner".
6. Fill the owner column: theme developer, SEO app settings, or client copy team.

That is slide one of the kickoff deck. Slide two is the translation table below.

## How to translate fails into founder language

| Audit row | What to say to the founder | Who owns it |
|---|---|---|
| Product price missing in markup | "ChatGPT cannot find a price it can trust, so it guesses or skips you" | Theme developer or SEO app |
| GPTBot disallowed in robots.txt | "Your store tells ChatGPT's crawler not to fetch product pages" | Whoever edits robots.txt.liquid |
| Page is noindex | "You have asked the web not to notice this page" | Theme or SEO app settings |
| No llms.txt | "There is no short guide telling models which pages matter" | Client copy team with your outline |
| Preview title or image missing | "Shared links and AI summaries may show the wrong name or picture" | Theme developer |

Never say JSON-LD, Open Graph or user-agent string in the founder meeting. Say what the shopper or the assistant experiences.

## How to scope the implementation

Separate the work by where it lives, because that decides who you bill and who you brief.

- **Theme edits**: structured data, canonical tags, og:title and og:image, robots.txt.liquid. This is developer time and should be a fixed-scope ticket, ideally in a duplicate theme first.
- **App settings**: many fails come from two SEO apps emitting duplicate or conflicting markup. Turning one off is a five-minute fix with a big payoff.
- **Copy and policy pages**: llms.txt content, clearer shipping and returns terms, sizing pages. This can sit with the client's team or your content retainer.

Keep schema work away from the creative retainer where possible. Design sprints and head-tag fixes move at different speeds and blaming one for the other sours the relationship.

## How to run the QBR rhythm

1. Re-run the same three URLs before every quarterly review.
2. Show only the rows that changed. Green rows that were red last quarter are the story.
3. Attach the theme change or app decision that caused each flip, so the client connects your invoice to the result.
4. Park citation vanity metrics unless you have a real measurement plan. "ChatGPT mentioned us twice" without a sampling method is an anecdote, not a KPI.
5. Note anything that regressed after a theme update or app install, because that is your case for a maintenance line in the retainer.

## A worked example

Say a homewares client with a £38 average order asks why "AI search" is not sending traffic. You paste three URLs. The homepage passes identity markup but fails llms.txt. The hero product fails "price missing in markup" and "GPTBot blocked". The shipping policy passes everything.

Slide one shows two red rows on the product. Slide two says: "ChatGPT is told not to fetch your bestseller, and if it did, it could not find a price it trusts." The owner column reads "theme developer, one ticket". You quote a fixed fee for the theme change, schedule llms.txt for month two and re-run at the QBR. That is a discovery engagement the founder understands in under two minutes.

## Common agency mistakes

- Auditing a store without authorisation, or ignoring an opt-out meta tag.
- Blending the CRO punch list and the AI readability punch list into one score. They are different jobs — see [CRO Audit vs ChatGPT SEO check on Shopify](/blog/cro-audit-vs-chatgpt-seo-check.html).
- Promising citations. You can promise readability; the web decides fame.
- Auditing ten URLs when three tell the whole story.
- Forgetting to re-run after the client's other agency ships a theme update.

## When not to lead with the AI audit

If the client's paid ads already send traffic to a product page that leaks orders, lead with the conversion problem and use the [Shopify CRO audit for agencies](/blog/shopify-cro-audit-for-agencies.html) approach first. An AI-readable page that cannot sell is still a loss. Run the SEO & AI Audit in the same week, but put it on its own slide with its own owners.

Be the agency that shows a readable fail list. Clients remember that.

### FAQ

**Can I white-label the Ninety9 ChatGPT SEO check?**

No — it is a public Ninety9 tool. Use it as an evidence link or screenshot inside your own deck, and put the prioritisation and recommendations on your letterhead. The free check is the evidence; your judgement is the product.

**What if the client has opted out of audits?**

Respect the opt-out meta tag. Ask the client to remove the tag for the engagement window, run the checks you need, and let them put it back afterwards. content="no,delete" on the CRO tag also erases stored CRO reports if they submit the shop on the CRO audit page — that does not happen on this check.

**Should I include competitor audits in the pitch?**

Only where permission norms are clear and the store is public. It is usually more persuasive to teach the client from their own URLs, because every fail row is then a ticket they can raise immediately.

**How do I price a Shopify AI SEO audit?**

Bundle it as a discovery add-on or the first week of a retainer. The tool is free; the fee covers translating fails into tickets, prioritising them and implementing the theme and robots.txt changes.

**Which URLs should I audit for a client?**

Three at minimum: the homepage for shop identity, the highest-revenue product for offer markup, and the shipping or returns policy for quotable terms. Add a collection and a blog post if the client leans on content.

**How often should I re-run the audit for a client?**

At kickoff, after every theme deploy that touches head tags or robots.txt, and at each quarterly review. Re-running the same URLs is what turns the check into a before-and-after story.

## noindex Is Killing Your Shopify AI Discovery (And Sometimes Google Too)

URL: https://ninety9.dev/blog/noindex-killing-ai-discovery-shopify.html
Published: 2026-08-30 (updated 2026-09-21)
Category: SEO & AI
Reading time: 6 minutes

Accidental noindex on Shopify products or collections blocks Google and AI crawlers. Spot it, fix it, then confirm with a free SEO & AI Audit.

The fastest way to kill Shopify AI discovery is an accidental noindex tag on a page you wanted found. It tells Google and AI assistants not to use that URL, so ChatGPT, Perplexity and similar tools have nothing public to quote. Catch it on the live page, remove it, then confirm with the free [ChatGPT SEO check for Shopify stores](/chatgpt-seo/) before you spend another afternoon on schema or llms.txt.

## What is noindex on a Shopify store?

noindex is a robots instruction, usually a meta tag in the HTML head, that means “do not use this URL in discovery.” It is not a password. It is not a 404. The page can still load for a shopper who has the link. Crawlers that honour the tag simply treat it as off-limits for search results and, in practice, for assistant citations that rely on public indexable pages.

On Shopify the tag is rarely typed by hand. It is injected by an SEO app, a theme setting, a Markets configuration or a leftover staging snippet. That is why merchants miss it: the product looks live, ads can still click through, and only the source — or an audit — shows the instruction.

## Why noindex kills AI discovery (and Google)

Answer engines cannot cite a page you asked the web not to notice. Allowing GPTBot in [robots.txt](/blog/gptbot-robots-txt-shopify.html) does not override a page-level noindex. The bot may be allowed to fetch the site; the page still says “do not use this URL.”

Google behaves the same way. A bestseller marked noindex will drop out of Search, sit in Search Console as excluded, and stay invisible to shoppers who type the product name. If ads point at that URL, you pay for traffic to a page Google is simultaneously being told to ignore.

Treat indexability as a gate, not a polish item. Schema, Open Graph and llms.txt only help pages that are allowed to be discovered.

## How do merchants accidentally add noindex?

Most accidents come from tools, not from a deliberate policy.

- **SEO app “stealth” or launch modes** left on after a campaign or a redesign. Collection-level noindex toggles are a frequent leftover.
- **Theme presets** copied from a development theme, including robots meta tags meant for staging.
- **Shopify Markets quirks** where a market-specific template or app setting noindexes a locale you thought was public.
- **Faceted or filtered collection URLs** bulk-marked noindex — useful for thin filters, disastrous if the parent collection or a merchandised landing URL was included.
- **Password-free staging URLs** that leaked with noindex still present, then got used as the “real” share link.

Merchant red flags look like this: products missing from Google while the PDP loads fine; assistants refusing to acknowledge a public URL; an SEO app dashboard still showing “hide from search” after launch.

## How to find and remove noindex on Shopify

1. Open the live URL in an incognito window (homepage, a flagship collection, a bestseller). Confirm shoppers can see it.
2. Right-click → View page source. Search for `noindex`. If you find `noindex` in a robots meta tag, that page is asking not to be indexed.
3. In Shopify admin, check Online Store → Themes → Customize for any SEO or “hide from search engines” theme setting on that template.
4. Open your SEO app and look for collection noindex, product noindex, or a sitewide stealth/launch mode.
5. In Google Search Console, open Pages (or Indexing → Pages) and filter for “Excluded by noindex tag.” Note which URL patterns appear.
6. Remove the tag at the source — app setting, theme setting, or Liquid — not by adding a conflicting “index” tag on top of it.
7. Hard-refresh the live URL and search the source again. `noindex` should be gone from the pages you want found.

If you cannot find the injector in the theme, duplicate the theme, disable SEO apps one at a time on the duplicate, and re-check the live preview URL. One source of truth beats three apps fighting over the robots meta tag.

## When is noindex the right choice?

Keep noindex where discovery would hurt you:

- Order status and thank-you pages
- Internal search result URLs
- Thin filtered faceted URLs you do not want cited as if they were real collections
- Staging themes sitting on password-free leaked URLs

Do not noindex the homepage, merchandised collections, products you advertise, or policy pages you want assistants to quote (shipping, returns, sizing). Hidden or unlisted products should not be your AI bet either — publish them intentionally if you want them cited.

## Common mistakes after you “fix” noindex

- Checking the theme editor preview instead of the live URL. Apps only inject on the published shopfront.
- Fixing one product template and assuming collections are clean. Indexability is per URL and per template.
- Leaving collection filters noindex’d while the canonical collection is still tagged. Confirm the URL shoppers and ads actually use.
- Publishing [llms.txt](/blog/shopify-llms-txt-guide.html) or chasing ChatGPT prompts while “Page can be indexed” still fails. That work cannot land until the page is allowed to be used.

## How to confirm the fix

Paste the URL into the [SEO & AI Audit](/chatgpt-seo/) (the ChatGPT SEO check for Shopify stores). If “Page can be indexed” fails, stop all other AI work until it passes. Then request inspection in Search Console for Google, and re-ask ChatGPT or Perplexity about the same URL after a recrawl window.

Add “indexability” to your launch checklist beside price and inventory. A theme update or SEO app install is a reason to re-run the same four URLs: homepage, one collection, one product, one policy page.

You cannot be cited if you asked the web not to notice you. Make the page indexable, then make it readable.

### FAQ

**What is noindex on a Shopify store?**

A noindex tag is a robots meta instruction that tells crawlers not to include that URL in search results or similar discovery surfaces. On Shopify it usually appears as a robots meta tag in the page head, often added by an SEO app, a theme setting or a leftover staging preset. Assistants that honour the instruction will skip the page just as Google does.

**When is noindex correct on Shopify?**

Use noindex on thank-you pages, internal search results, thin filtered faceted URLs you do not want cited, and staging themes on password-free leaked URLs. Do not noindex the homepage, flagship collections or products you want shoppers — and models — to find.

**Does noindex override allowing GPTBot in robots.txt?**

Yes. If the page says noindex, you are telling systems not to use it in discovery, even if GPTBot is allowed to fetch the site. Fix the noindex first, then worry about crawler policy.

**Can hidden or unlisted Shopify products still be cited by ChatGPT?**

Unlisted products should not be your AI bet. If a product is not meant to be public, do not expect assistants to cite it accurately. Publish the products you care about, keep them indexable, and mark them up.

**How do I find accidental noindex on Shopify?**

Open the live URL, view page source and search for noindex. Check SEO app settings for collection or product noindex toggles, and look in Search Console under Pages for Excluded by noindex tag. The ChatGPT SEO check for Shopify stores also flags pages marked noindex.

**How fast does removing noindex help Google and AI?**

Help arrives after recrawl, not the moment you save the theme. Request a URL inspection in Google Search Console for Google, then re-ask assistants periodically with the same product or collection URL.

**Does Shopify add noindex by default?**

A normal published storefront does not noindex your catalogue by default. Accidents come from SEO apps, theme presets, Markets quirks and leftover staging tags. Always verify the live HTML rather than assuming the theme editor preview is clean.

## Password-Protected Shopify Stores — How to Run an SEO & AI Audit

URL: https://ninety9.dev/blog/password-protected-shopify-ai-audit.html
Published: 2026-08-30 (updated 2026-09-21)
Category: SEO & AI
Reading time: 6 minutes

Launching a Shopify store behind a password? Run the ChatGPT SEO check with the storefront password, fix templates, then re-check on go-live day.

Pre-launch Shopify stores can still run an SEO & AI Audit. Paste the storefront URL into the [ChatGPT SEO check for Shopify stores](/chatgpt-seo/), enter the storefront password when asked, and fix Product and Organization markup while the theme is still cheap to change. Until you remove the password, public AI crawlers cannot see the shop — so re-check on go-live day.

## What is a password-protected Shopify storefront?

The storefront password is the gate shoppers type under Online Store → Preferences. It is not your Shopify admin login, not a staff account, and not the collaborator code you give an agency. While it is on, the public web — Googlebot, GPTBot, ClaudeBot, PerplexityBot, Google-Extended — sees a password page, not your catalogue.

That is useful for building in private. It also means “ChatGPT SEO” cannot start in public until the gate is off. A pre-launch audit is a staging review of templates, not proof that assistants can already cite you.

## Why pre-launch audits still help

You can fix Product and Organization markup while design is malleable — cheaper than after the campaign launches. Typical pre-launch gaps:

- Homepage with no shop identity in structured data
- Product templates missing Offer price and availability
- og:title and og:image blank because social preview fields were never filled
- Duplicate JSON-LD from an SEO app plus the theme
- Policy pages that exist in the nav but are still placeholder copy

None of those require the store to be public. All of them are expensive to discover the week ads go live.

Crawler policy (allow GPTBot or not) is optional before launch. Priority is correct schema on templates; [robots.txt](/blog/gptbot-robots-txt-shopify.html) matters most at publish.

## How to run the SEO & AI Audit behind a password

1. Open the [ChatGPT SEO check for Shopify stores](/chatgpt-seo/).
2. Paste the store URL (homepage, a product, a collection, or a policy page).
3. Submit. When asked, paste the storefront password from Online Store → Preferences.
4. Read the pass/fail list in merchant language. Ticket the reds to whoever owns the theme.
5. Repeat for at least four URL types: homepage, one collection, one product, one policy page.

Use the password shoppers would type. Admin credentials will not open the shopfront and should never be pasted into a public-page check.

Development stores work if they are reachable like a normal password-protected Shopify shopfront. Confirm you are looking at the theme you intend to publish, not an abandoned duplicate.

## What will still fail publicly

Until the password drops, real ChatGPT users cannot fetch the shop. Search Console will not show your catalogue as indexable in the way a live store does. Treat every green row as “this template is ready,” not “assistants already know us.”

If you want to opt out of checks even with a password, add the readiness meta tag. The CRO audit tag (`content="no"` or `content="no,delete"`) also stops this check. Merchants who do not want URLs fetched can do the same on public stores.

The password is used to open the shop for the check and is not kept as a long-lived secret. See the privacy policy for details.

## A pre-launch checklist that actually ships

| Before password off | Why |
|---|---|
| Product template has name, image, price, availability in markup | Models quote numbers; give them real ones |
| Homepage has Organization or WebSite identity | Shop is not an anonymous URL |
| og:title and og:image work on PDP and home | Shares and unfurls will not look broken on day one |
| Policy pages have real shipping and returns copy | Assistants prefer quotable policies |
| Decide GPTBot / ClaudeBot / PerplexityBot / Google-Extended policy | So you do not inherit an app’s Disallow at publish |
| Draft a short llms.txt | Publish it when the domain is public |

Worked example: say you launch next Monday with three hero products. Audit those three PDPs and the homepage this week. If Offer markup is missing, that is a theme ticket now — not a content rewrite on Sunday night.

## Common pre-launch mistakes

- Auditing the admin URL or a theme editor preview instead of the password shopfront shoppers will see.
- Pasting staff credentials into the password field. That never opens the storefront and is a security mistake.
- Fixing one product template and assuming gift cards, bundles or preorder PDPs share it. Audit each template you will publish.
- Spending the last week on campaign copy while Offer markup is still missing on the three hero SKUs.
- Removing the password on launch morning without a robots.txt glance — an SEO app can Disallow GPTBot the moment the shop is public.
- Treating a green staging audit as proof ChatGPT already knows you. It does not, until the gate is gone and a crawler fetches the live HTML.

If several people can change the theme, put the go-live list in the same place as the launch ads checklist. Password off, robots checked, audit re-run, prompts smoked — in that order.

## Go-live day

1. Remove the storefront password in Online Store → Preferences.
2. Open `/robots.txt` and confirm the AI bots you chose to allow are not Disallowed by an app snippet. See [who can crawl you](/blog/perplexity-claude-google-extended-shopify.html).
3. Publish [llms.txt](/blog/shopify-llms-txt-guide.html) at the domain root if you are using one.
4. Re-run the audit on the homepage and bestsellers — same URLs as staging.
5. Smoke-test prompts: “What does [brand] sell?” and “Does [brand] ship to [country]?” Compare answers to the live pages.

Build readable templates in private. Flip the password when the checklist is green.

A password shop is invisible to public crawlers. Make the templates readable first, then open the door and verify again.

### FAQ

**Can I run an SEO & AI Audit on a password-protected Shopify store?**

Yes. Open the ChatGPT SEO check for Shopify stores, paste the store URL, and when asked paste the storefront password from Online Store → Preferences. That is a one-time check of the templates, not a public crawl.

**Is the storefront password stored?**

It is used to open the shop for the check and is not kept as a long-lived secret. See the privacy policy for details. Never paste your Shopify admin login; that will not open the storefront.

**Should I allow GPTBot before launch?**

Optional. Priority pre-launch is correct schema on templates; crawler policy matters most at publish. Public bots cannot see behind the password anyway until you remove it.

**Can I audit a Shopify development store?**

If it is reachable like a normal password-protected Shopify shopfront, yes. Paste the preview URL and the storefront password when prompted. Confirm you are auditing the theme you intend to publish.

**How do I opt out of readiness checks?**

Add the readiness meta tag if you do not want checks even with a password. The CRO audit opt-out tag (content="no" or content="no,delete") also stops this check. Erasing stored CRO reports only happens on the CRO audit page.

**Will ChatGPT cite my store while the password is on?**

No. Until the password drops, real ChatGPT users cannot fetch the shop. Treat the audit as a staging review of markup and previews, then re-run on go-live day.

**What should I re-check the day I remove the password?**

Remove the password, verify robots.txt, publish llms.txt if you use one, re-run the audit on the homepage and bestsellers, then smoke-test a few buyer prompts. Public crawlers only start seeing you after the gate is gone.

## After Your Shopify SEO & AI Audit — What to Fix First

URL: https://ninety9.dev/blog/after-your-shopify-seo-ai-audit.html
Published: 2026-08-29 (updated 2026-09-21)
Category: SEO & AI
Reading time: 6 minutes

Got your Shopify SEO & AI Audit results? Fix in this order: indexability, structured data, AI bots, canonical and Open Graph, then llms.txt and prompt QA.

After a Shopify SEO & AI Audit, fix problems in this order: first anything that stops the page being fetched or indexed (noindex, password protection), then missing structured data for that page type (product price, availability, shop identity), then robots.txt rules that block AI bots you meant to allow, then canonical and Open Graph polish, and only then llms.txt and prompt testing. Ship the theme changes as one batch and re-run the same URLs to prove the pass.

## What is the post-audit punch list?

The SEO & AI Audit returns a list of pass and fail rows for the exact URL you pasted — homepage, collection, product, blog post or policy page. The punch list is that fail list, sorted by how badly each item hurts discovery. It is not a score to admire. It is a ticket queue.

Each row is written as a merchant outcome ("price missing in markup", "GPTBot blocked", "no llms.txt") rather than a spec reference, so you can hand it to a developer, an SEO app's support desk or your own to-do list without translation.

## Why does the order of fixes matter?

Because the fixes depend on each other. Perfect Product JSON-LD on a noindex page is invisible. Unblocking GPTBot on a page whose price markup is wrong helps ChatGPT fetch a wrong answer faster. An llms.txt that points models at pages with broken canonicals sends them to the wrong URL.

Working bottom-up wastes budget. Working top-down means every later fix lands on a base that can actually be read.

## How to triage: P0, P1, P2

Sort every failing row into one of three buckets before anyone touches the theme.

| Priority | What it looks like | Why it sits here |
|---|---|---|
| P0 — blocker | noindex on a public page, password still on, missing product price or availability in markup, an AI bot blocked that you intended to allow | The page cannot be fetched or cannot be understood |
| P1 — important | Missing llms.txt, Organization or WebSite markup absent on the homepage, canonical pointing at the wrong page type | Readable, but models may pick the wrong facts or URL |
| P2 — polish | Extra or duplicate FAQ markup, generic og:image, minor title mismatches | Cosmetic; fix when convenient |

If the same row fails on both the homepage and your best-selling product, it is almost certainly a theme-level problem rather than a one-off, and that raises its priority.

## How to work through the fixes on Shopify

### 1. Clear the blockers

Check Online Store → Preferences for password protection and remove it if the store is meant to be live. Search the theme and any SEO app settings for noindex rules on products or collections. For a fuller walkthrough see [noindex is killing your Shopify AI discovery](/blog/noindex-killing-ai-discovery-shopify.html).

### 2. Fix structured data for the page type

Products need name, image, price, currency and availability in the Product schema, matching what the theme displays. The homepage needs Organization or WebSite markup with the shop's real name. Use the [Shopify JSON-LD checklist for merchants](/blog/shopify-json-ld-checklist-merchants.html) as the spec for the ticket.

### 3. Decide and set bot access

Open yourstore.com/robots.txt. If GPTBot, ClaudeBot, PerplexityBot or Google-Extended are disallowed and nobody chose that, edit the robots.txt.liquid template (Online Store → Themes → Edit code) or the SEO app that generated the rule. Write the decision down so the next developer does not undo it.

### 4. Polish canonicals and previews

Product canonicals must point at the product URL, never the homepage. Each key template needs a unique og:title and an absolute HTTPS og:image that loads.

### 5. Add llms.txt and run prompt QA

Once the page is readable, publish an llms.txt that highlights hero collections and policies, then ask ChatGPT and Perplexity the questions your shoppers ask and compare the answers to reality.

## A worked example

Say your audit on a £45 candle product page fails four rows: "price missing in markup", "GPTBot blocked", "no llms.txt" and "duplicate FAQ markup". Two SEO apps are installed.

The right week looks like this. Monday: disable the second SEO app and confirm one Product JSON-LD block remains with the £45 price. Tuesday: edit robots.txt.liquid to remove the GPTBot Disallow, because you sell a product people ask assistants about. Wednesday: deploy both in one theme change and re-run the audit; expect two rows to flip green. Next sprint: write llms.txt. Leave the FAQ duplication until everything else is done.

## Common mistakes after an audit

- Installing a third SEO app to "fix" what two apps already broke.
- Writing new blog content before the product pages are readable.
- Fixing robots.txt while the page is still noindex, then wondering why nothing changed.
- Editing schema by hand in the live theme without a duplicate theme to test on.
- Treating the on-page result as a certificate. It only proves readability on the day you ran it.

## How to prove the fix worked

1. Hard-refresh the live URL and view the page source to confirm the new markup shipped.
2. Paste the exact same URLs into the [ChatGPT SEO check for Shopify stores](/chatgpt-seo/) and confirm the failing rows now pass.
3. Screenshot the before and after for whoever signed off the work.
4. Ask ChatGPT about the product URL and check that the price, availability and shipping terms it quotes match the page.
5. Re-run after any theme update, app install or Markets change, because those are the changes that reintroduce the same bugs.

## When not to start fixing yet

Do not touch the theme if the store is mid-migration, mid-redesign or about to switch SEO apps. Finish the move, then audit the new templates once. Equally, if paid ads are already spending on a product page that leaks orders, run the [CRO Audit](/cro-audit/) on that page in parallel — a readable page that cannot sell is not the goal either.

The audit is not the work. The next green run is.

### FAQ

**What should I fix first after a Shopify SEO & AI Audit?**

Fix indexability first. A page marked noindex or still behind a password cannot be used by Google or AI assistants no matter how good the schema is. Then fix missing product price or shop identity in structured data, then unblock the AI bots you meant to allow.

**We only failed the llms.txt check. Should we panic?**

No. llms.txt is a priority-one item, not a blocker. Schedule it for the next sprint, and fix schema and robots.txt first if those failed too.

**Why do multiple SEO apps fight each other on Shopify?**

Each app injects its own JSON-LD and meta tags, so the page ends up with two Product blocks or two canonicals that disagree. Disable the duplicates and keep one source of truth for structured data.

**Do we need a developer to act on the audit?**

Often for schema and robots.txt edits, because those live in theme code. Merchants can still own the llms.txt content, the product data itself and the prompt tests.

**When should we run the CRO Audit after the SEO & AI Audit?**

After the page is findable, or in parallel if paid ads are already sending traffic to it. Discovery and conversion are separate jobs with separate punch lists, so keep the two reports apart.

**How do I know the audit fixes actually worked?**

Paste the same URLs into the SEO & AI Audit after the deploy and confirm the failing rows now pass. Then ask ChatGPT about the page and compare its answer to your real price and policies.

## Price and Availability in Shopify Structured Data — Why AI Gets It Wrong

URL: https://ninety9.dev/blog/shopify-structured-data-price-availability.html
Published: 2026-08-29 (updated 2026-09-21)
Category: SEO & AI
Reading time: 5 minutes

When ChatGPT invents your price or ignores stock, Offer markup is usually wrong. Verify price and availability on every money product URL.

When ChatGPT invents your price, shoppers blame your brand. Usually the Offer markup — not your integrity — is what drifted: the PDP shows one number, JSON-LD shows another, or Offer is missing entirely. Verify price and availability on the live product URL, then confirm with the [ChatGPT SEO check for Shopify stores](/chatgpt-seo/).

## What is Offer markup on a Shopify product?

Offer is the structured-data object that states what it costs and whether it can be sold: price, currency, availability. It sits inside Product JSON-LD. Shoppers never see it. Models and Google do.

Visible Liquid prices are the shopper contract. Offer is the machine contract. If they disagree, a careful human believes the page; an assistant often believes the structured number — or a third-party page that scraped the old one.

This is the core of [product schema for AI](/blog/shopify-product-schema-for-ai.html), isolated because money fields are where trust breaks.

## The hallucination pattern

Theme shows $48. JSON-LD missing or stuck at an old $42. Assistant answers $42 forever.

Same pattern with stock: page says Sold out; markup still says InStock; a model cheerfully tells someone to buy it. Overselling via AI destroys trust faster than a missing citation.

A/B tests and Markets make this worse when the experiment or market URL changes the visible price but not the graph.

## How to verify price and availability

1. View the product as a customer (incognito, the market URL you actually share).
2. Note the visible price, currency and sold-out state.
3. Run the ChatGPT SEO check for Shopify stores on that exact URL.
4. If Offer fails, open a developer ticket with both: screenshot of the PDP and the audit row.
5. After the fix, re-audit. Then ask ChatGPT the price and stock for that URL.

The audit reads the public page and markup — the same constraints a careful human viewer has. It does not check live stock APIs or admin inventory.

## Sold out means sold out

If you cannot sell it, markup should not scream InStock. Use an availability value that matches the PDP: out of stock, backorder, preorder — whatever you actually offer.

Continuing to mark InStock “so we look available in AI” is how you get angry emails. Assistants quoting stock is a fulfilment promise.

Preorder and backorder are allowed when the page says so clearly. Hidden “available” in JSON-LD with a sold-out badge on the PDP is the bug.

## Currency, Markets and compare-at prices

Shopify Markets can serve different prices on different URLs. The offer ChatGPT would fetch must match the market URL you share. Do not send a US reporter a `.com` URL whose JSON-LD is still your UK Offer if that URL charges dollars — or the reverse.

Compare-at prices: do not fake discounts in schema. Keep offers honest. If there is no real compare-at on the page, do not invent one in JSON-LD.

| Situation | What Offer should do |
|---|---|
| Standard PDP | Price + currency + availability match the shopper view |
| Price A/B test | JSON-LD matches the price served on that URL |
| Sold out | Not InStock |
| Market-specific URL | Currency and amount for that market |
| Compare-at | Only if the discount is real on the page |

## How to find Offer in the page source

You do not need to be a developer to confirm the number.

1. On the live PDP, right-click → View page source (or View page source in the browser menu).
2. Search for `Offer` or `"price"`.
3. Read the price and availability next to those keys. Compare to the number and sold-out badge on the page.
4. If you see two different prices in two JSON-LD blocks, you have duplicate graphs — turn one app off.
5. If you see no Offer at all, the theme snippet is missing or an app overwrote it.

Google’s Rich Results Test is a second view of the same HTML if you want a Google-oriented summary. The ChatGPT SEO check is the merchant-language version of that pass/fail.

## Operational rule: re-audit after price tests

Any price test launch checklist includes “re-audit PDP structured data.” Theme launches get this attention; weekend discount tests often do not — and that is when markup freezes on yesterday’s number.

Also re-audit when you:

- Switch a product from manual to Shopify Markets pricing
- Change currency display
- Run a compare-at / “was” campaign
- Restock a SKU that had been sold out (availability must flip back with the page)

Worked example: say you drop a hero SKU from £90 to £75 for a weekend. The theme sale badge shows £75; Offer still says 90.00 GBP. ChatGPT and shopping surfaces quote £90. You update the schema source (theme snippet or SEO app), re-run the audit, and only then announce the sale in channels models might read.

For the rest of the PDP label (name, image, variants), use the [JSON-LD merchant checklist](/blog/shopify-json-ld-checklist-merchants.html). If crawlers cannot fetch the page, price markup will not save you — see [GPTBot and robots.txt](/blog/gptbot-robots-txt-shopify.html).

Models quote numbers. Give them the real ones — the same price and stock the shopper sees on that URL.

### FAQ

**We A/B test prices. What breaks structured data?**

Make sure the served page’s JSON-LD matches the price the shopper sees on that URL. If the experiment shows £54 in the theme and £49 in Offer markup, models will quote the markup. Include a re-audit of PDP structured data on every price-test launch checklist.

**How should compare-at prices appear in schema?**

Do not fake discounts in schema. If the shopper sees a genuine compare-at, keep the Offer honest. Invented strikethroughs in JSON-LD are a trust problem for Google and for assistants.

**How does multi-currency affect Offer markup on Shopify?**

Ensure the offer ChatGPT would fetch matches the market URL you share. A UK URL should not advertise a USD Offer that shoppers on that URL cannot pay. Align Markets, currency and JSON-LD per URL.

**Does the SEO & AI Audit check live stock APIs?**

It reads the public page and markup — same constraints a careful human viewer has. It does not log into admin or poll inventory apps behind the page.

**Why does ChatGPT invent my Shopify product price?**

Usually the Offer markup is missing, stuck on an old price, or disagrees with the visible amount. Fix JSON-LD so it matches the PDP, allow crawlers to fetch the page, then ask again with the product URL.

**Should sold-out products still say InStock in schema?**

No. If you cannot sell it, markup should not scream InStock. Overselling via AI destroys trust faster than a missing citation. Match availability to the sold-out state on the page.

**How do I verify price schema on a Shopify product?**

View the product as a customer, note price and stock, then run the ChatGPT SEO check for Shopify stores. If Offer fails, open a ticket with both the visible price and the audit row. Re-audit after the fix.

## Breadcrumb Structured Data on Shopify — Category Context for AI

URL: https://ninety9.dev/blog/shopify-breadcrumbs-schema-ai.html
Published: 2026-08-28 (updated 2026-09-21)
Category: SEO & AI
Reading time: 6 minutes

Breadcrumb structured data on Shopify gives products category context. Learn what BreadcrumbList is, how to add it to your theme and how to verify it.

Breadcrumb structured data — BreadcrumbList in JSON-LD — tells Google and AI assistants which category trail a Shopify page sits on, such as Home → Trail Running → Shoes → Model X. Visible breadcrumbs do the same job for shoppers. A Shopify store needs both, and they need to match: without a trail, a product page is just a name and a price with no place in your range.

## What is breadcrumb structured data?

Breadcrumbs are the small navigation trail near the top of a page: Home › Collection › Product. BreadcrumbList is the machine-readable version. It is a schema.org type (a shared vocabulary for labelling web content) delivered as JSON-LD, a hidden block of code in the page's HTML that lists each step in order with its name and URL.

A minimal example for a product page reads, in plain terms: position 1 is "Home" at your domain, position 2 is "Trail Running Shoes" at `/collections/trail-running-shoes`, position 3 is "Ridge Runner 2" at `/products/ridge-runner-2`. Google may display that trail in place of the URL in search results. Assistants use it to understand what kind of thing the page is about.

## Why do orphan products confuse AI assistants?

A product page with no category trail gives a model a name, a price and some marketing copy. If the name is "Ridge Runner 2," nothing on the page says whether that is a shoe, a bike or a tent unless the model reads the whole description and infers it. Breadcrumbs remove the inference: "Trail Running Shoes" is right there in the trail. Multiply that across a few hundred products and the difference between a store assistants can summarise and one they hedge about is mostly context like this.

Breadcrumbs also connect products back to collections, which is how models learn what your ranges are and how they relate — the same job [collection page markup](/blog/shopify-collection-seo-for-ai.html) does from the other direction.

## What does good breadcrumb markup look like on Shopify?

- **Home → Collection → Product** on product pages, **Home → Collection** on collection pages, **Home → Blog → Post** on articles.
- Names match the navigation labels shoppers already know, not internal handles.
- The visible trail and the BreadcrumbList contain the same steps in the same order.
- URLs in the trail are canonical URLs: `/products/handle`, not `/collections/x/products/handle`.
- Exactly one BreadcrumbList per page.

## How do I add breadcrumbs to a Shopify store? (step by step)

1. **Check the theme settings first.** Open Online Store → Themes → Customize, then look in the product page section settings and theme settings for a breadcrumb toggle. Many paid themes include one; Dawn does not ship visible breadcrumbs by default.
2. **If there is no toggle, add a snippet.** Under Online Store → Themes → ⋯ → Edit code, a developer adds a `breadcrumbs.liquid` snippet and includes it in the product, collection and article templates. Shopify's theme docs provide a reference snippet.
3. **Emit BreadcrumbList JSON-LD** in the same snippet or in `theme.liquid`, built from the same names and URLs the visible trail uses. Use the product's canonical URL so the trail does not leak collection-scoped paths.
4. **Choose which collection to show** when a product belongs to several. Shopify exposes the collection the shopper arrived through; for the canonical trail, prefer the product's primary collection so the markup is stable across visits.
5. **Verify** on live URLs (next section).

### Where this lives in Shopify

Theme files: Online Store → Themes → ⋯ → Edit code → Snippets and Sections. Collection names: Products → Collections. Navigation labels: Online Store → Navigation (make the breadcrumb names match the menu names). If an SEO app emits breadcrumbs, its settings are in the app, not the theme.

## How do I verify breadcrumb structured data?

1. Open a product in an incognito window and confirm the visible trail.
2. Right-click → View page source and search for `BreadcrumbList`. Check the names and URLs.
3. Paste the URL into Google's Rich Results Test and confirm a valid Breadcrumbs item with no errors.
4. In Search Console, watch the Breadcrumbs enhancement report for errors after the theme change.
5. Paste the same product URL into the SEO & AI Audit — the free [ChatGPT SEO check for Shopify stores](/chatgpt-seo/). If the breadcrumb row fails, it is usually a single theme fix away.

## Worked example: one theme fix, whole catalogue

Say an outdoor store has 600 products and no breadcrumbs. A developer adds a breadcrumb snippet and BreadcrumbList to the product and collection templates in an afternoon. The next day, every product page carries Home → Collection → Product in both pixels and markup. The Rich Results Test shows valid Breadcrumbs on a sample of products across each template, and Search Console begins reporting the trail. One change, 600 pages of category context.

## What are the common breadcrumb mistakes?

| Mistake | Why it hurts | Fix |
|---|---|---|
| Markup without visible trail | Mismatch between page and data | Show the trail or drop the markup |
| Theme and app both emit BreadcrumbList | Duplicate, sometimes conflicting trails | Disable one |
| Collection-scoped product URLs in trail | Points at non-canonical duplicates | Use `product.url` canonical form |
| Handles instead of names ("winter-coats") | Unreadable labels | Use collection titles |
| Four invented levels | Fake hierarchy nobody navigates | Reflect real navigation only |

## When should you not add deep breadcrumbs?

Do not invent a taxonomy you do not navigate. If your store has flat collections with no parent categories, a two-level trail is honest and enough. Inventing "Shop → Footwear → Running → Trail → Model X" when no such menu exists is worse than a simple path, because the markup now describes a site that does not exist.

Give every product a place in the store — in pixels and in markup — and keep the two identical.

### FAQ

**What is BreadcrumbList structured data?**

BreadcrumbList is a schema.org type, delivered as JSON-LD in the page's HTML, that lists the trail from the homepage to the current page as an ordered set of names and URLs. It tells Google and AI assistants which category a product or collection belongs to. Google can also show the trail in search results instead of the raw URL.

**Do I need visible breadcrumbs as well as the markup?**

Best practice is yes. Visible breadcrumbs help shoppers navigate back to the category, and matching them to the markup keeps the structured data honest. Markup that describes a trail shoppers cannot see is a mismatch that can undermine trust in the rest of your data.

**How do I add breadcrumbs to a Shopify theme?**

Check Online Store → Themes → Customize first, because many themes have a breadcrumb toggle in product or header settings. If not, a developer can add a breadcrumb snippet to the product and collection templates plus a BreadcrumbList JSON-LD block. Shopify's theme documentation includes a reference breadcrumb snippet.

**What do I do for collections without a parent category?**

Still mark the relationship you have: Home → Collection on the collection page, and Home → Collection → Product on products. A two-level trail is honest and useful. Only add a deeper level if your navigation genuinely has one.

**Should breadcrumbs come from my theme or an SEO app?**

Pick one implementation. Running both produces duplicate BreadcrumbList blocks, sometimes with different trails, which confuses validators and models. If your theme already emits BreadcrumbList, turn the app's version off.

**Is breadcrumb schema only an SEO nicety?**

No. Beyond the search snippet, breadcrumbs supply category context that assistants use for questions like what type of product is this or which of this brand's ranges does it belong to. It is cheap context that pays off on every product page.

## How We Score the CRO Audit for Shopify Stores

URL: https://ninety9.dev/blog/how-we-score-the-shopify-cro-audit.html
Published: 2026-08-25 (updated 2026-09-21)
Category: CRO & Analytics
Reading time: 6 minutes

How Ninety9 scores the CRO Audit: a public product-page rubric applied the same way every time — not a conversion forecast or a law.

The CRO Audit for Shopify stores returns a number and a status. Those are easy to read as a verdict on the shop. They are not.

They are a **read of this product page** against a rubric we wrote. We apply it the same way every time. That is the whole claim.

It is not a conversion-rate prediction. It is not an official Shopify grade. It is not a law for every brand. A miss means this URL does not match the rubric. Your niche, market, or taste can disagree — and that can be the right call for that store.

## Who wrote the rules

Ninety9 builds Shopify apps for average order value. We also built this audit. That is a conflict of interest if the score only passed our installs.

It does not. [What the audit checks](/blog/what-the-shopify-cro-audit-checks.html) is a class of behaviour: a real add-to-cart, a way to grow the basket, a buy box that is not fighting itself. A theme cart drawer passes. Another vendor’s popup passes. Native Shopify passes. **Fix with** names a suggested owner after a miss so you can act today. You can use the theme or a different app.

If a row only existed to sell Addy, the audit would be a demo. It is a checklist we are willing to put on a page you did not build.

## What we can actually see

Public product HTML. Catalogue JSON (`/products/{handle}.js`). The cart page. When Chromium can run, a real add-to-cart click and a short wait for a drawer or popup.

We cannot see checkout, discounts, customers, orders, or your analytics. We cannot see whether the offer is good. Password-protected shops work if you paste the storefront password; we use it to open the shop and we do not keep it.

So the score answers a narrow question: **on this URL, is the page able to take money, and does it ask for more of it, without the buy box getting in the way.**

## Why the order is A, then B, then C

**Rubric A — can they buy?** If add-to-cart is missing, variants dead-end, stock lies, or the price is fake, later CRO is theatre. Those rows weigh most.

**Rubric B — does the basket grow?** Once they can buy, we look for the defaults that keep intent on the page: a product-page offer, quantity breaks, a cart goal, proof, a drawer after add, an offer at add or exit.

**Rubric C — is the page fighting itself?** Stacked widgets, too many primaries, JSON-LD that disagrees with the catalogue. Hygiene at the buy box.

Post-purchase is **Next**, not a fail. We never reach the thank-you page.

The **status** next to the score is a label for that number, not a pep talk. A 92 is **Strong**. A 65 is **Thin**. The short line beside it still names which rubric missed (**Fail in Rubric A**). [How to read the health score](/blog/how-to-read-shopify-cro-health-score.html) is the short version of the number. This page is the basis.

## The word follows the score

Health starts at **100**. Each scored fail subtracts a weight: **−6** for a Rubric A miss, **−4** for B, **−2** for C. Skip and Next do not deduct. The floor is 23.

The title next to that number is a **score band**, so the word is not kinder than the number:

| Score | Status |
| --- | --- |
| 94–100 | Solid |
| 85–93 | Strong |
| 77–84 | Uneven |
| 70–76 | Patchy |
| 62–69 | Thin |
| 50–61 | Friction |
| 38–49 | Leaky |
| 23–37 | Drop-off |

**Solid** and **Strong** are the positive titles — 85 and up. **Uneven** and **Patchy** mean it sells, but it is not a flex. **Thin** is 62–69: a working page with real gaps, not a good score. Below that the word gets harsher.

Unreadable theme HTML → **Partial**, even if catalogue rows passed.

Two basket-growth misses are −8, so 92. That is **Strong**. A 65 is **Thin**. The punch list still tells you *what* to fix; the word tells you *how hard we are willing to praise the number*.

## Defaults, not laws

A few rows are opinions we still score, because a rubric that only scored “is there a button” would not be useful. The honest ones:

**A cart drawer after add, not a dump to `/cart`.** Intent is hottest on add. A full-page cart refresh spends that moment on a reload. Most Shopify PDPs we care about keep the product behind a drawer and upsell there. [When a cart page is still the right tool](/blog/cart-drawer-vs-cart-page.html) — large B2B baskets, heavy configuration, some luxury and gift flows — you can take the miss and keep the page. The rubric will still flag the pattern.

**An offer at intent** (add, exit, or checkout), not only a silent cart. The assumption is that the shopper who just added is the one most likely to add one more thing. Subscription-only, single-SKU, or “we do not upsell” brands can ignore that row.

**A product-page offer** (bundle, frequently bought together, add-on). Impulse and routine stacks benefit. A one-size digital download may not.

We do not pretend those defaults were proven in a paper we are citing. We publish them so you can see the assumption.

## What a miss is not

It is not “your store is broken.”

It is not “install this app or the number is fake.”

It is not a forecast of conversion rate after you fix the row.

Treat the score as a before/after on **this** product URL. If the screenshots do not look like the page a shopper should see — popup, age gate, overlay — pause those and run it again. The tool can be wrong.

Paste a store or a product URL when you want the rubric applied to a live page. Read the top miss. Decide if it applies. That is the use of a scored opinion.

### FAQ

**Is this an industry standard?**

No. It is Ninety9’s product-page rubric. We score the same defaults on every public Shopify PDP we can read. Other audits will rank other things.

**Is a full cart page always a miss?**

In this rubric, yes — a dump to /cart after add fails the “something happens on add” row, because intent is still on the product page. Luxury, wholesale, gift, and some high-consideration carts reasonably keep a cart page. Read the miss, then decide if it applies.

**Do I have to install a Ninety9 app to pass?**

No. The score looks for a class of storefront behaviour. A theme drawer, another app, or native Shopify can pass. Fix with names a suggested owner after a miss.

**Can a high score still convert poorly?**

Yes. The audit cannot see ads, offer, brand, or checkout. A page can pass every row and still fail in analytics.

**Why don’t you publish studies for each check?**

We are not claiming a lab result. We are publishing the defaults we score, in a fixed order, so you can agree or disagree with the rubric instead of treating the number as law.

## A Free Shopify Store Review You Can Run Yourself

URL: https://ninety9.dev/blog/free-shopify-store-review.html
Published: 2026-08-20 (updated 2026-09-21)
Category: CRO & Analytics
Reading time: 6 minutes

A free Shopify store review should read the public product page, not ask for collaborator access. Paste the domain and get a punch list.

“Free Shopify store review” is a crowded promise. Half the results are a form that sells a call. Half are a PageSpeed number with a Lighthouse screenshot. Neither answers **review my Shopify store** in the sense a founder means it: *what is broken on the page that takes money, and what do I do this afternoon.*

A free review earns the word if it is **public, ranked, and done in one paste**.

## Free that is not a review

Lead magnets that ask for collaborator access, a Calendly, and “we will send a Loom.” That can be a good *paid* engagement. It is not free, and it is not instant.

Chrome extensions that score your meta titles. Useful for SEO. Wrong funnel if ads land on a PDP with no add-to-cart.

AI chat that “reviews” a URL from memory. It has not fetched *this* theme this morning. It will invent a bundle widget you uninstalled last week.

If the tool cannot show you the HTML it read, it is an opinion.

## What free should include

The CRO Audit for Shopify stores is built as the first review, not the last:

- No account.
- Bare domain allowed.
- A product page, not “the brand.”
- A health number you can recrawl after a fix.
- A punch list capped so you are not handed forty SEO rows.

When Chromium is available, it hydrates the page, clicks add-to-cart, and waits so drawers and popups that only exist after add can be scored. That is the difference between a source-code grep and a shopper.

## How to run it without a developer

1. Open the [CRO Audit for Shopify stores](/cro-audit/).
2. Paste `yourstore.com` or the product in the ad.
3. Wait for “Finding a product” if you sent a store, then “Auditing {title}.”
4. Read **Can they buy?** before you scroll to apps.

If the product is wrong, that is the bestseller heuristic doing its job. Paste the exact `/products/` URL. Do not argue with the homepage pick — replace it.

Same product twice within about ten minutes may return a cache. Use **Audit again** after you change the theme.

## How to read a free score without lying to yourself

Health starts at 100 on a clean scored sheet. Misses bring it down; buy-path misses weigh more than AOV or hygiene. Skipped rows (unread HTML) and Next rows (post-purchase) do not.

**Solid / Strong** (85+) means the page scored well enough to be proud of. Still read the punch list.

**Uneven / Patchy** (70–84) means they can buy. It is not a flex. Work the list.

**Thin** (62–69) means a working page with real gaps. 65 is not a good score.

**Friction / Leaky / Drop-off** (under 62) means conversion is taking a hit. That is the week’s work, even if AOV is also thin.

**Partial** means the theme was not readable. Do not celebrate a 100 you did not earn.

A free review that only prints a big number is a trophy. Demand the rows.

## Theme vs app on a free punch list

If the miss is “no add-to-cart,” that is Dawn, a custom product-form, or an app that replaced the form and then broke. It is not “install a popup.”

If the miss is “no frequently-bought,” the owner is an offer app (Addly on this site). You can ignore the logo and still use the diagnosis.

If the miss is “add dumped to `/cart`,” you need a drawer that actually opens, not a script that *mentions* a drawer.

Free reviews that score every miss as “buy our suite” are ads. This one names theme when it is theme.

## What to do with the artefact

- **Report URL `?r=`** — send to a developer. Snapshot. No surprise recrawl in the morning.
- **PDF** — the punch list for someone who will edit Liquid or the theme editor.
- **Badge** — a slide. Caption it with the product URL and the date. Do not crop the QR if you are claiming the number is real.

Reports stay until the merchant deletes them. Re-run if you need a fresh artefact.

## When free is not enough

You still need analytics for “where did they drop.” You still need a photographer if media is the constraint. You still need a merchant of record conversation for Markets. You still need a human if the question is positioning.

Run the free review **before** you buy those. Otherwise you will pay a strategist to discover that `name="add"` is missing.

## Free vs “free consult”

A consult that starts with your revenue, team size, and a 30-minute Loom is a sales call. It can be a good sales call. It is not a store review.

A free review shows you the rows before anyone asks for a card. You should be able to leave with a PDF. If you cannot leave, it was not free.

## What “ranked” saves you from

Unranked free tools dump twenty Lighthouse opportunities and a mixed SEO crawl. You will fix alt text on a collection image while the product form is missing.

Ranked means: constraints that stop the sale, then missed AOV, capped so you can finish. Hygiene (competing primaries, app pile) sits after that. Post-purchase is Next, not a fake fail.

If the free artefact cannot tell you which row is this afternoon, it is a report, not a review.

## Sharing without oversharing

The snapshot is public-to-anyone-with-the-link. Do not put staff-only copy in the theme and then paste the report in a Facebook group.

The audit stores the punch list and optional screenshots until the merchant deletes them. Privacy policy lists the rest. Competitors can open a link you tweet. That is the trade for a QR that teachers can scan.

## A note on opt-out

Merchants can block public audits with `<meta name="ninety9-audit" content="no">` in `theme.liquid`. Use `content="no,delete"` and run the CRO audit form if they also want stored reports erased. If you are reviewing a client who opted out, you cannot complete the assignment on that shop from the outside. Use a development storefront that is public, or ask them to remove the tag for a day.

That is the whole free product: paste, rank, fix, recrawl. If you came here because you searched **review my Shopify store** and you wanted it to cost nothing, that sequence is the review.

### FAQ

**What is this score based on?**

Ninety9’s product-page rubric — defaults we apply the same way on every public Shopify PDP. It is not a conversion-rate prediction, and it will not fit every store or situation. [How we score](/blog/how-we-score-the-shopify-cro-audit.html).

**Is there a truly free Shopify store review?**

Yes, if it reads the public storefront and does not require Shopify admin. The Ninety9 CRO audit is that shape — no login, no card, rate-limited so one shop cannot knock over the queue.

**What does a free review see?**

Product HTML, public product details, the cart page, and when we can render the page a real add-to-cart with a short wait for drawers and popups. Not checkout. Not customers. Not your Shopify login. Password-protected stores work too — paste the store password if we ask. We do not keep it.

**Will a free review tell me to install your apps?**

It names the owner of each miss. Theme problems stay on the theme. You can leave after the list. That is still a review, not a demo.

**Can I use a free review for a class or a client pitch?**

Yes. Download the badge and the PDF. The QR opens the saved snapshot. Do not present the badge as a full diagnosis.

**Why would a free review fail?**

Custom stores we cannot open like a normal Shopify shop, private IPs, and merchants who added the opt-out tag (content="no" or content="no,delete"). Password-protected stores are not a fail — paste the store password from Online Store → Preferences if we ask.

## After You Review Your Shopify Store, Fix in This Order

URL: https://ninety9.dev/blog/after-you-review-your-shopify-store.html
Published: 2026-08-20 (updated 2026-09-21)
Category: CRO & Analytics
Reading time: 5 minutes

After a Shopify store review, fix buy-path constraints, recrawl, then one AOV install. Do not stack apps on a page that cannot add to cart.

The review is not the work. The work is the order you fix things. People search **review my Shopify store**, run a tool, then install four apps before lunch. That is how you get a new punch list that says the page is fighting itself.

Here is a sequence that respects the rubric.

## Hour 1 — Constraints only

Open the ranked list. Ignore every Opportunity and Hygiene row.

Fix, in this spirit:

1. Add-to-cart findable.
2. Variant picker actually there.
3. Stock honesty / pre-order if you still want the sale.
4. Real price, no costume compare-at.
5. Enough media to survive a paid click.
6. Buy control still there on mobile.

These are almost always **theme**. Theme editor, product template, maybe a broken product-form app.

Do not “fix” them by installing a popup.

Recrawl the **same** `/products/` URL with Audit again. If you paste the homepage, you may be scoring a different SKU.

## Hour 2 — One primary

If the buy box has two filled ATCs, kill one. Shop Pay stays. Bundle ATC stays in the offer module. Sticky can stay.

This is hygiene that *behaves* like a constraint: shoppers hesitate. Fix it before you add a fifth button.

## Day 2 — One AOV job

Pick the miss that matches the business, not the loudest logo.

- Attach a second product → frequently-bought / bundle on the PDP (Addly’s job here).
- Same SKU, more units → quantity breaks.
- Threshold psychology → cart goal (Goalify).
- They add and vanish → drawer (Addy) if you dumped to `/cart`.
- They add and need a nudge → one popup (Monet), not a popup plus a modal plus an exit-intent stack.

Install one. Configure it so it is a **secondary** visually if it is not the product ATC. Recrawl.

If you install all five, you will recreate the pile the hygiene row warned you about.

## Day 3 — Cart intent

Protection, delivery estimate, urgency that is true. These sit at the moment they worry about the parcel.

If the drawer still dumps to `/cart`, do not spend the day on a countdown. The drawer is still a constraint in slow motion.

## Not this week — post-purchase

Order edit and a second sale after pay are real. They are not on the product page. Put Reviso (or equivalent) on a separate ticket so it does not block the PDP recrawl.

A review that tries to “finish the store” in one sprint will stall on thank-you copy while ATC is still ugly.

## How to use the score without superstition

Health will jump when you pass several small rows. It may barely move when you fix the only constraint that mattered.

**Friction**, **Leaky**, or **Drop-off** after a recrawl means conversion is still taking a hit — a buy-path row is still open, a pile of misses remains, or you recrawled the wrong URL.

**Thin** (the sixties) is a working page with real gaps. Do not treat 65 as fine.

**Uneven / Patchy** means they can buy. Work the list. Do not panic-redesign, and do not screenshot it as a win.

**Solid / Strong** means stop stacking. Polish, then ads, then post-purchase.

**Partial** means you cannot see the theme. Do not celebrate. Switch device, disable a blocker, or paste a product URL that actually renders Online Store HTML.

## Communication

Send the new `?r=` to whoever saw the last one. Snapshots do not update. If you say “we fixed it” and they open yesterday’s link, you look like you lied.

Badge after the constraint is gone if you need a slide. Badge with a red buy-path is a dare.

## A weekly loop while ads run

Monday: recrawl the campaign SKU.  
If a new constraint appeared (app update, theme publish), treat it as Hour 1.  
If not, you may change one offer.  
Do not change offer, drawer, and popup the same day unless you enjoy mystery.

## Owners on the ticket (so Slack does not dissolve)

Write the ticket as:

> URL: /products/x  
> Miss: A2 — options, no picker  
> Owner: theme  
> Evidence: report {id}, screenshot of buy box  
> Done when: recrawl on this handle passes A2  

Not:

> “CRO stuff from the audit lol”

If two misses share an owner (picker and size chart), they can share a PR. If one is theme and one is Addly, they cannot share a PR. That is how you accidentally ship a bundle widget onto a page that still cannot choose a size.

## What “done” is not

- Health 100. Rare on a real PDP. Not the goal this week.
- Every Opportunity green. That is a programme.
- A new theme. That is a rebuild.
- A screenshot of the badge on LinkedIn while ATC is still broken.

Done is: the top constraint is gone on a recrawl of the same handle, and you have picked the next single AOV job or you have stopped.

## Rollback

App installs can steal the product form. If recrawl is worse, uninstall or disable the embed *before* you invent a new strategy. Public reviews are good at this: they are fast enough to be a canary.

Keep the previous `?r=` so you can prove the regression. Snapshots exist for that, not for nostalgia.

## If you do nothing else

After you review my Shopify store:

1. Fix the top constraint.
2. Recrawl that product.
3. Add one ask for a larger basket.
4. Recrawl.
5. Stop.

That is the implementation review. Everything after is optional, paid, or a different page in the funnel.

### FAQ

**What is this score based on?**

Ninety9’s product-page rubric — defaults we apply the same way on every public Shopify PDP. It is not a conversion-rate prediction, and it will not fit every store or situation. [How we score](/blog/how-we-score-the-shopify-cro-audit.html).

**I reviewed my Shopify store. What do I fix first?**

Whatever stops the sale before the cart — missing ATC, unusable variants, dishonest stock or price, no media. Then recrawl. Then one AOV miss.

**Can I fix three apps at once?**

You can. You will not know what worked, and you may create competing primaries. Sequence them.

**The health score barely moved.**

Watch the status and the ranked row, not only the number. One buy-path miss can be the whole week even if the score looks fine.

**When do I touch checkout?**

After the PDP can sell and the cart opens. Checkout is a separate review with different tools.

**How often should I review again?**

After each theme or app change on that SKU, and weekly while a campaign runs. Not twenty times a day — you will hit cache and rate limits.

## DIY Shopify Store Review vs Paying an Agency

URL: https://ninety9.dev/blog/diy-shopify-store-review-vs-agency.html
Published: 2026-08-20 (updated 2026-09-21)
Category: CRO & Analytics
Reading time: 5 minutes

Do the public product-page review yourself. Hire an agency for positioning, research, and build — not to discover that add-to-cart is missing.

The search **review my Shopify store** splits into two buyers. One wants a punch list before lunch. One wants a partner. Mixing them up is how you pay $8,000 to hear that the product form is broken.

Do the cheap review first. Hire for what the cheap review cannot see.

## What DIY can honestly cover

A stranger with a URL can see:

- Whether add-to-cart exists and survives scroll.
- Whether variants are pickable.
- Whether stock and price look honest.
- Whether media can carry a click.
- Whether the buy box has one primary and a pile of secondaries.
- Whether a bundle, goal, drawer, or popup is even *present*.
- Whether add opens a drawer or dumps to `/cart` (if you click, or if an audit with Chromium clicks for you).

That is most of what a junior agency analyst would put on slides one through six. You can generate it with the [CRO Audit for Shopify stores](/cro-audit/) in minutes.

DIY cannot honestly cover:

- Why returning customers bounce (needs cohorts).
- Whether the offer *should* be a bundle or a subscription (needs margin and supply).
- Information architecture across 800 SKUs.
- Checkout extensibility, Shop Pay split, and payment apps.
- Creative fatigue.
- “Does this brand deserve a $180 AOV.”

If you need those, you need a human. If you do not have the punch list yet, you are not ready to brief the human.

## What you are paying an agency for

A good Shopify review engagement is mostly **decisions and build**, not discovery of public HTML.

Pay for:

- Interviews, session recordings, and a test backlog with owners.
- Theme work you will not do — variant UX, size charts, price honesty.
- App stack simplification (killing three offer widgets so one can work).
- Markets, B2B, Hydrogen — things a public crawl will refuse.
- A 90-day experiment cadence.

Do not pay for:

- A Lighthouse reprint.
- A colour workshop while ATC is dead.
- A 40-row SEO file titled “CRO.”
- Proprietary scoring that you are not allowed to recrawl yourself.

## How to hire without getting a newspaper

Put this in the RFP:

1. Here is the product URL.
2. Here is the saved report.
3. Top constraint is X. We will fix it in theme / app.
4. We want you for Y (research, rebuild, tests) — not to repeat X.

If they start the kickoff by ignoring the report and crawling the homepage, they are running their template. Templates are fine when they add research. They are waste when they redo the public audit.

Ask who owns implementation. A review with no builder is a PDF. You already have a PDF.

## How to fire a reviewer without drama

If two weeks in there is still no URL in the deck, end it. You do not owe a full month to a process that will not look at the page.

Pay for hours used. Keep the public audit. Hire a theme person for the constraint.

## DIY sequence (one afternoon)

1. Audit the landing SKU and the bestseller.
2. Fix the constraint on both if it is the same theme bug.
3. Pick one AOV miss that matches the business (bundle vs goal vs drawer).
4. Recrawl.
5. Write three sentences: what you fixed, what you will not touch, what a human would do next.

That write-up *is* the store review. Attach the badge if a teacher or a founder wants a cover.

## Agency sequence (after DIY)

Week 0: read the report, confirm it on device, add analytics questions.

Week 1: one theme constraint and one offer, not a redesign.

Weeks 2–6: tests on the leftover leaks, with a kill list for overlapping apps.

If an agency wants six weeks before touching ATC, they are not reviewing the store. They are staffing a project.

## Students, operators, agencies

**Students.** DIY is the assignment. Do not buy a review. Run the tool, cite the limits (no checkout, no admin), propose the next human step.

**Operators.** DIY monthly on the money SKU. Agency quarterly if you are stuck after the punch list is green.

**Agencies.** Use the public audit as intake. Charge for what you add. If your differentiator is “we looked at the HTML,” the client can paste.

When someone in your inbox says review my Shopify store, send them the audit link first. The ones who come back with a report URL are ready to be clients. The ones who want you to “just have a look” will still want that after they have the punch list — and then the look is cheaper, because the look has a brief.

### FAQ

**What is this score based on?**

Ninety9’s product-page rubric — defaults we apply the same way on every public Shopify PDP. It is not a conversion-rate prediction, and it will not fit every store or situation. [How we score](/blog/how-we-score-the-shopify-cro-audit.html).

**Can I review my Shopify store myself?**

Yes, for public buy-path and obvious AOV gaps. Paste the store, fix the top constraint, recrawl. That is a review. It is not a brand strategy.

**When should I hire an agency instead?**

When the page can sell and you still cannot explain the drop, when you need qualitative research, when you need a rebuild, or when you need someone to implement across Markets and checkout extensibility.

**How much should a Shopify store review cost?**

A public machine review is free. A senior audit with interviews and a test plan is a project. Do not pay project rates to be told your ATC is missing if you never pasted the URL.

**Will an agency use the free CRO audit?**

Good ones will, as a starting artefact. If they refuse any public crawl “because our process is proprietary,” ask what they will look at that a shopper cannot see — and whether that is the first week’s work.

**I am a student. Is DIY enough for class?**

For a product-page CRO assignment, yes. Submit the PDF and the badge QR. Say what you would hire a human for next. That sentence is the maturity.

## Get Your Shopify Store Reviewed — Options That Work

URL: https://ninety9.dev/blog/get-your-shopify-store-reviewed.html
Published: 2026-08-20 (updated 2026-09-21)
Category: CRO & Analytics
Reading time: 5 minutes

Ways to get your Shopify store reviewed: a free public audit, a developer with a punch list, or an agency — pick for this week, not forever.

“Get my Shopify store reviewed” is the same intent as **review my Shopify store**, with more desperation. Traffic is bought. A launch is Friday. Someone promised to “take a look.”

You have four working options. Only one of them is instant.

## Option 1 — Public product-page audit (today)

Paste the store into the [CRO Audit for Shopify stores](/cro-audit/).

You get health, a status for the score band (and a line such as **Fail in Rubric A** beside it), a ranked list, optional screenshots, a PDF, a badge, a `?r=` snapshot until the merchant deletes it.

Use this when:

- You need to know if they can buy.
- You need a brief for a developer.
- You need an artefact for class or a founder Slack.

Skip this when the shop is a custom build we cannot open like a normal Shopify shop, or when the merchant opted out. Password-protected stores work too.

## Option 2 — A developer with the punch list (this week)

Hire someone who lives in the theme editor.

Give them:

- Product URL.
- Report link.
- “Fix the top constraint. Do not redesign the brand.”

This is the correct purchase when the miss is pickers, ATC, compare-at, size chart, sticky buy, or an app that stole the form.

It is the wrong purchase if you have not produced the punch list and you want them to “just review.” You will pay discovery rates for a paste you could have done.

## Option 3 — A CRO / research agency (this quarter)

Buy this when option 1 is mostly green and you still cannot explain revenue.

They should add recordings, tests, IA, checkout, Markets — the out-of-scope list from a public review.

They should not reopen with a homepage moodboard. See [DIY vs agency](/blog/diy-shopify-store-review-vs-agency.html).

## Option 4 — A “Shopify expert” marketplace gig

Some are excellent implementers. Some sell a Lighthouse PDF.

Filter:

- Will they work from a URL you paste, on camera, in the theme editor?
- Will they recrawl with you after the fix?
- Do they name theme vs app, or only “install our cousin’s app”?

If the gig title is “I will review your Shopify store” and the deliverable is comments on colours, keep scrolling.

## What to send in the first message

Whether it is a freelancer or an agency:

> Please review this product: {URL}. Public audit snapshot: {report link}. Top miss looks like {X}. We want you to {fix X / test offers / rebuild}. Checkout and admin are a later phase unless you say you need them this week.

If they reply without opening the link, they are not reviewing the store. They are selling a slot.

## Students and internal operators

You do not need option 3 to **get your Shopify store reviewed** for a course or a weekly ops habit. Option 1 plus a three-line write-up is the professional version of “I had a look.”

Share X / LinkedIn / Discord from the report if you want the badge as the preview. The URL is the proof.

## What “reviewed” should mean in writing

A date. A URL. A list with owners. An out-of-scope sentence. A recrawl plan.

If your vendor cannot produce that, they did not review the store. They visited it.

## Pricing sanity (so you are not shopping blind)

**Free public audit.** Minutes. Punch list. Snapshot. This site.

**Theme freelancer.** Hundreds, not thousands, if the brief is “fix the top constraint on this URL.” More if they have to reverse a custom product-form from 2019.

**CRO contractor.** Day rates. Buy days after the punch list is green and you have traffic.

**Agency programme.** Thousands and a calendar. Buy when you need research and tests, not when you need `name="add"` restored.

If a marketplace gig is $49 for a “full store review,” read the deliverable. If it is comments on fonts, you bought a vibe check.

## What a good first reply looks like (vendor)

> Loaded {URL} as a shopper. Public audit: {link}. Top miss is {constraint}. I can fix that in the theme this week for {price}. I will recrawl with you on the same handle. Checkout and admin not in this quote.

If their first reply is a Calendly link and a brand questionnaire, they are qualifying a retainer. That is allowed. It is not **get your Shopify store reviewed** today.

## What a good first reply looks like (you)

> Here is the product in the ad. Here is the snapshot. We will not grant collaborator access until you tell us which admin screen the PDP cannot show.

You are not being difficult. You are scoping.

## Students, operators, side projects

You do not need a vendor. You need a URL, a PDF, and a paragraph that says what you would pay a human for next. That paragraph is how you show you understood the limits of a public review.

Share the report if the assignment allows a public link. Treat it like a public URL. Do not put secrets in the theme.

## A hard rule

No collaborator access until there is a reason that a shopper cannot see. Buy-path is visible. Stop giving away admin for a look.

When you are ready for the look that does not need admin, it is a paste.

### FAQ

**What is this score based on?**

Ninety9’s product-page rubric — defaults we apply the same way on every public Shopify PDP. It is not a conversion-rate prediction, and it will not fit every store or situation. [How we score](/blog/how-we-score-the-shopify-cro-audit.html).

**How do I get my Shopify store reviewed today?**

Paste the domain or product URL into the free CRO audit. Send the report link to whoever will fix the top row. That is a review with an owner.

**Who can review my Shopify store professionally?**

A theme developer for Liquid and pickers. A CRO contractor for tests. An agency for research and rebuilds. None of them should skip the public PDP.

**Are paid “Shopify expert” reviews worth it?**

If they implement. A $300 PDF that restates Lighthouse is not. Ask for the first three fixes in the theme editor, not a 20-page brand story.

**Can I get a store review for a school project?**

Yes. Use the audit, export PDF and badge, cite that checkout was out of scope. Teachers want the ranked fails, not a logo.

**What if I want someone to hop on a call?**

Fine — after they have the report id. A call without a URL is a chat. A call with a punch list is work.

## How to Read the Health Score on a CRO Audit for Shopify stores

URL: https://ninety9.dev/blog/how-to-read-shopify-cro-health-score.html
Published: 2026-08-20 (updated 2026-09-21)
Category: CRO & Analytics
Reading time: 6 minutes

The Shopify CRO audit health score starts at 100 and drops with each miss. What the status word means, and how to act on every band.

The health score on the CRO Audit for Shopify stores is a 0–100 number for one product page. A fully passing scored sheet is 100; each miss pulls it down, and buy-path misses cost more than AOV or hygiene misses. The status word beside it — Strong, Solid, Uneven, Thin and so on — is the band the score sits in, and positive titles start at 85. Treat it as a before/after on **this** product URL, not a grade for the brand.

## What is the health score?

The health score is a summary of how many scored rows on the product-page rubric passed, weighted by how much each row matters to a sale. Rubric A (can they buy?) carries the most weight because a missing add-to-cart makes everything else irrelevant. Rubric B (does the basket grow?) and Rubric C (is the page fighting itself?) follow. Rows the crawl could not read are marked rather than failed, and the post-purchase **Next** row is informational only.

The number is the screenshot. The line beside it is the diagnosis. You need both.

## How is the number calculated?

A fully passing scored sheet is **100**. Each miss pulls the number down. Buy-path misses count for more than AOV or hygiene misses. Skipped rows (unread HTML) and **Next** rows (post-purchase) do not.

If the theme never loaded, the status is **Partial**. The rubric will not invent a missing offer from an empty body. Price and media can still score from catalogue JSON. Do not read Partial as a trophy 100.

## What does the status word mean?

The word next to the number is the score band. It is not a pep talk.

| Score | Status | What it tells you |
|---|---|---|
| 85–100 | Solid, Strong | The range that is actually positive |
| 70–84 | Uneven, Patchy | It sells. It is not a flex |
| 62–69 | Thin | A working page with real gaps |
| Under 62 | Friction, Leaky, Drop-off | Conversion is taking a hit; the punch list says why |
| — | Partial | The theme could not be read |

A 92 is Strong. A 65 is not a good score even though the page works. The bands are set out in [How we score](/blog/how-we-score-the-shopify-cro-audit.html).

## Which matters more: the score or the rubric line?

The short line beside the status names the rubric that missed — **Fail in Rubric A**, or **Fails** when more than one buy-path row missed. Same pattern for B and C. That line is the diagnosis. The big word is the score.

A high score with a failed add-to-cart is still a crisis if Rubric A missed — read the sheet, not only the flex title. A page can score in the seventies on the strength of a full offer stack while the buy button vanishes on mobile scroll. The number will not shout about it. The line will.

## How do I act on each band?

1. **Fail in Rubric A, any score.** Stop reading the AOV rows. Fix the buy path in the theme — add-to-cart, variants, stock, price — and re-run the same URL.
2. **Thin or below, Rubric B misses.** The page sells but does not ask for more. Install the owner of the top miss, or build the offer in the theme, then re-run.
3. **Uneven or Patchy.** Usually one or two AOV misses plus a hygiene row. Pick the highest-ranked row, ship it, re-run.
4. **Solid or Strong.** The rubric is satisfied. The remaining work is offer, price, photography and ads — things the audit cannot see.
5. **Partial.** Check the URL resolves to a product a shopper can load, then try again.

## What should I not compare?

- Two products. A gift card PDP and a bundle builder will never share a fair score.
- Before Chromium and after. Screenshots and post-add DOM can pass drawer checks that static HTML failed. Same URL, different evidence.
- Cached vs Audit again. Repeating the same product within about ten minutes may return the snapshot. Recrawl when you changed the theme.

Paste the store and you get a bestseller. That is useful for a first look. It is the wrong control if you are iterating on `/products/the-launch`.

### A worked example

Say the launch page scores 74, **Uneven**, with the line **Fail in Rubric B**. One miss: no cart goal. You add a free-shipping threshold and a progress line in the cart, wait for the theme to publish, then hit Audit again on the same `/products/the-launch` URL. The score moves into the eighties and the status changes to Solid. That pair — same URL, same evidence type, one change — is a test. A jump from 74 on the launch page to 88 on a gift card is not.

## How do I use the score in a meeting?

Put the number on the slide if you must. Put the status and the top three fails under it. Assign theme vs app. Re-run in a week on the **same** product URL.

Agencies: the badge QR is the proof the number is a real report, not a typed claim. Teachers: same. Merchants: ignore the badge until the buy-path row is green. How the badge and share link work is covered in [the badge and QR guide](/blog/shopify-cro-audit-badge-and-qr.html).

## How do I measure improvement over time?

Keep a simple log: date, product URL, score, status, rubric line, and the `?r=` snapshot link. Re-run after each change, not on a calendar. Pair the log with your own analytics — the health score tells you the page is *able* to sell and *asks* for more; add-to-cart rate and average order value tell you whether shoppers took the invitation. When the score is Strong and the analytics are flat, the problem is the offer, and that is a different conversation from a theme ticket.

The score exists so you have a before/after. It is not a trophy for a page that still cannot add to cart.

### FAQ

**What is this score based on?**

Ninety9’s product-page rubric — defaults we apply the same way on every public Shopify PDP. It is not a conversion-rate prediction, and it will not fit every store or situation. [How we score](/blog/how-we-score-the-shopify-cro-audit.html).

**What is a good health score?**

On this rubric, positive titles (Strong, Solid) start at 85. A 65 is Thin — a working page, not a good score. Track your own product URL over time. Comparing a $12 impulse SKU to a $400 configurable one is noise.

**Why is my score not 100 if add-to-cart works?**

Basket tools and page hygiene are scored too. A working buy button with a thin offer stack will not sit at 100. A 100 means every scored row passed, not that CRO is finished.

**Does Next count as a fail?**

No. Post-purchase is listed so you know the job exists. It does not move health.

**Why did the score change when I pasted the homepage instead of a product?**

Homepage pastes resolve to a bestseller (or another product). You audited two different pages. Paste the /products/ URL when you want the same SKU twice.

**How often should I re-run the CRO audit?**

After every theme or app change on that product page, and on the same URL each time. Use Audit again so you skip the roughly ten-minute cache and see the live page.

**Can I put the score on LinkedIn?**

Yes. Get badge & flex it exports a PNG with the number and a QR to the saved report. The QR opens the snapshot; it does not recrawl.

## How to Review a Shopify Store Without Admin Access

URL: https://ninety9.dev/blog/review-shopify-store-without-admin.html
Published: 2026-08-20 (updated 2026-09-21)
Category: CRO & Analytics
Reading time: 5 minutes

Review a Shopify store like a shopper — public HTML, catalogue JSON, cart, and a real add-to-cart. No collaborator code. No checkout login.

Collaborator access is for theme edits, apps, and checkout settings. It is not required to answer **review my Shopify store** as a shopper question.

If someone asks for admin “to review,” they are scoping an operations audit. That can be valid. It is not the first review, and it is a trust event. Treat it like one.

## What a shopper can see

A logged-out browser can load:

- Online Store pages (home, collections, products, pages, blog).
- `/products/{handle}.js` — Shopify’s public catalogue payload for that handle.
- `/cart` — the cart page, often empty until you add.
- Theme assets, app scripts that ship to the storefront, JSON-LD in the HTML.

They cannot load:

- `/admin`.
- Checkout as a configured merchant (you can start checkout as a buyer; you still do not see their payment settings).
- Customer accounts of other people.
- Draft orders, inventory policies beyond what the PDP already discloses.

A review that stays inside the first list is a **public storefront review**. Name it that. The [CRO Audit for Shopify stores](/cro-audit/) is exactly that product.

## How to do it by hand (if you refuse the tool)

1. Open the product in a private window.
2. View source. Search `product-form`, `name="add"`, `shop-pay`, `sold out`, `compare_at`.
3. Open `/products/handle.js`. Confirm price and `available`.
4. Add to cart. Watch the network and the UI. Drawer? `/cart`? Modal?
5. Scroll the PDP for reviews, size chart, delivery estimate, bundle block.
6. Write the punch list. Cap it.

You will spend an hour. The automated audit spends seconds and clicks for you when Chromium is there. The method is the same.

## Why Chromium is not “hacking the store”

Hydrating the page and clicking add-to-cart is what the shopper does. Waiting five seconds is how you see drawers that animation-in.

It is not logging in. It is not guessing passwords. It is not hitting `/admin`. If the shop is password-protected, the merchant can share the store password from Online Store → Preferences — we use it once and forget it.

If a merchant does not want even that, they add:

```html
<meta name="ninety9-audit" content="no">
```

in `layout/theme.liquid` `<head>`. The next public audit stops. To also erase stored reports, use `content="no,delete"` and then paste the shop URL on the CRO audit page. That is the civilised opt-out. Respect it.

## Custom stores

Custom storefronts that do not look like a normal Shopify shop cannot be reviewed from the outside. A public review should fail closed: “cannot read,” not a fake 100. Password-protected Online Store shops are different — share the store password and the audit can run.

Do not scrape a private app proxy to “be thorough.” You are no longer doing a shopper review.

## What to tell the merchant you did not see

Put it in the PDF:

- Discount codes and automatic discounts.
- Markets price rules.
- Checkout UI extensions.
- Flow, email, and SMS.
- App embeds that only render for logged-in customers.

Then tell them which of those would change the *next* review. If none of them would change the ATC fail, you did not need admin this week.

## Ethics

Reviewing your own shop: paste.

Reviewing a client who sent the URL: paste. Store the snapshot. Do not recrawl every hour.

Reviewing a competitor for a war room: look with your eyes. Do not industrialise audits against a shop that is not yours. Rate limits exist because people script this.

Publishing a teardown: the page is public, the screenshot is yours, the tone is on you. Do not present a health score as a court verdict. It is coverage of a rubric.

## A public-source map (so you know what you scraped)

| Source | What it is good for | What it is not |
| --- | --- | --- |
| Product HTML | Forms, copy, widgets, JSON-LD, app fingerprints | Logged-in prices, B2B |
| `/products/handle.js` | Price, availability, variants, images, tags | Theme chrome |
| `/cart` | Cart page chrome, some app blocks | An empty cart is not a fail |
| Rendered add | Drawers, popups, redirects | Payment |

If your notes do not say which source you used for a claim, the claim is weaker than it sounds.

## Incognito is not optional

Logged-in previews lie. You see markets, draft discounts, “view as” themes. A shopper does not.

Use a private window, a second browser, or a phone that is not on staff Wi‑Fi. If the ATC only exists when you are logged into the theme editor preview, you have not shipped it.

## Apps that only render after interaction

Many drawers, sticky bars, and personalize modals are absent from the first HTML. A view-source review will say “no drawer.” A click will say otherwise.

That is why a Chromium pass exists. If you are reviewing by hand, you must click. If you refuse to click, write “source only — after-add not observed” on the PDF. Honesty beats a fake fail.

## When you finally need admin

You need it to:

- Fix Liquid.
- Install or remove apps.
- Change inventory policies and continue-selling.
- Configure checkout and customer accounts.
- Confirm a discount the PDP should mention.

You do not need it to **review my Shopify store** for buy-path. Start public. Escalate with a reason.

### FAQ

**What is this score based on?**

Ninety9’s product-page rubric — defaults we apply the same way on every public Shopify PDP. It is not a conversion-rate prediction, and it will not fit every store or situation. [How we score](/blog/how-we-score-the-shopify-cro-audit.html).

**Can I review a Shopify store without logging in?**

Yes. That is the honest shopper review. Paste the public URL. You will not see discounts, checkout, or customer data — and you should not claim you did.

**What public URLs matter?**

The product page, /products/{handle}.js, /cart, and sometimes a collection used only to find a product. Admin and checkout are not public.

**The store is password-protected. Can I still review it?**

Yes. Paste the URL. The CRO audit asks for the store password from Online Store → Preferences — not the Shopify login — opens the shop the way a customer would, then forgets it.

**Is viewing source enough?**

For some theme checks. Drawers and popups that only exist after add need a click or a Chromium pass. Source-only reviews miss those.

**Can I review a competitor this way?**

You can look at their public PDP. Do not spam their store with audits. Do not publish a teardown unless you are ready to discuss it in public. Privacy policy: the audit stores a snapshot until the merchant deletes it if you run our tool.

## Review My Shopify Store — What to Check First

URL: https://ninety9.dev/blog/review-my-shopify-store.html
Published: 2026-08-20 (updated 2026-09-21)
Category: CRO & Analytics
Reading time: 8 minutes

When you type “review my Shopify store,” you usually want a product-page diagnosis, not a 40-row SEO deck. Start with add-to-cart, then AOV, then apps.

People type **review my Shopify store** into Google because something feels off and they do not want a 12-week retainer to find out what. Traffic is up, or ads are live, or a friend said the theme looks dated. The ask is the same: *tell me what is wrong, in an order I can act on.*

Most “store reviews” fail that ask. They mix PageSpeed with colour theory with a keyword gap analysis. You walk away with forty rows and no decision. A useful review starts on a **live product page**, because that is still where Shopify revenue starts.

## What you are actually asking for

There are three different jobs hiding in that search:

1. **Can a stranger buy?** Add-to-cart, variant pickers, stock honesty, a price that is not a fake compare-at, enough media, a buy control that survives scroll.
2. **Will the basket be large enough?** Bundles, quantity breaks, a cart drawer, a goal bar, a popup that does not fight the drawer.
3. **What happens after they pay?** Order edits, a second offer, returns copy. A product-page review can only *flag* that window. It cannot score thank-you.

If you skip (1) and jump to an app install, you will decorate a page that still cannot take money. If you skip (2) you will take money and leave it on the table. If you skip (3) you will spend support hours on address changes.

A public [CRO Audit for Shopify stores](/cro-audit/) is built for (1) and (2). That is the right first review.

## Why “the store” is the wrong unit

Shopify is not one page. Home, collections, PDP, cart, checkout, and order status are different owners.

- **Home and collections** decide whether someone *finds* a product. They are merchandising.
- **The product page** decides whether they can add, and whether they add more.
- **Checkout** is Shopify’s. You can theme it at the edges. You cannot audit it from the public storefront without logging in, and you should not pretend you did.
- **Admin** is inventory, discounts, markets. A stranger with a URL cannot see it. A review that requires collaborator access is a different product — an agency week, not a paste.

When someone says review my Shopify store, they almost never need a homepage moodboard first. They need the PDP that ads and search land on.

## The first ten minutes

Paste the domain, the homepage, or a product URL into the free audit. `https://` is optional. Chrome will not fight you.

If you send the homepage, the run resolves to a **best-selling** product when Shopify exposes one, then any product linked on that page, then anything in the public catalogue. Read the note on the report. If the SKU is wrong, paste `/products/the-handle` and run again.

You get a health score, a status for the score band, and a short ranked list. Buy-path misses sit above missed AOV. Theme rows stay on the theme. App-owned leaks name the app that owns the job, with an install link. You can close the tab after the punch list. That is the point.

## What a serious review looks at, in order

### Can they buy

No add-to-cart, a variant wall with no picker, sold-out with only “notify me,” a compare-at that is not a sale, one photo and forty words of lorem — those stop the session. Fix them in the theme before you buy software.

Pre-order when inventory is zero is a buy control. Notify-me is a waitlist. Do not confuse them.

A size option without a chart is not always a hard stop, but it is a return factory. Put it on the list.

### Will they add more

One SKU add-to-cart with no frequently-bought, no quantity break, and no cart goal is a store that can take money and has not asked for more. That is not a branding problem. It is an offer problem.

The cheapest extra unit is the one sitting next to the button. If you are going to install one thing after a clean buy-path, make it the offer that belongs on that PDP — not a popup, a drawer, a bar, and a bundle widget on the same afternoon.

### Is the page fighting itself

Two filled add-to-carts in the buy box. A drawer and a modal both claiming the add. Four offer apps. Shop Pay is a secondary; a second gold “Add to cart” is not. A review that counts every “add to cart” string in the theme JS will lie to you. Look at the buy box.

## What this review will not do

It will not forecast conversion rate. It will not see discount codes. It will not grade your brand voice. It will not replace a heatmap if the question is “where do they rage-click the gallery.”

It will not read Hydrogen or a password gate. If the store opted out with `<meta name="ninety9-audit" content="no">` in `layout/theme.liquid`, the run stops. `content="no,delete"` also erases stored reports when they submit the shop on the CRO audit page. That is the merchant’s right, not a bug.

Treat those limits as honesty, not a sales pitch for a bigger audit. The bigger audit exists. It starts after the punch list is green.

## How to brief a human after the machine

If you still want a person to review my Shopify store, do not send “thoughts?” Send:

- The product URL you care about.
- The saved report (`?r=`). It is a snapshot. It does not recrawl.
- The top constraint and whether you will fix it in the theme or with an app.
- What you already tried (Dawn update, a bundle app you uninstalled, a sticky bar you hate).

An agency that ignores that packet and opens with a sitemap crawl is selling a different service. Sometimes you need that service. You do not need it *first*.

## Recrawl, do not collect scores

Health is coverage, not a brand rating. A 90 with a dead add-to-cart is a crisis with a pretty average. A 55 with a working ATC and no AOV widgets is a store that can take money.

Re-run the **same** `/products/` URL after a fix. Homepage pastes are a first look. They are the wrong control if you are iterating on a launch SKU.

Share the badge if you need a slide. Share the PDF if someone has to fix a row. The number without the punch list is theatre.

## A worked example (what a useful review sounds like)

Store: a $42 apparel brand. Ad lands on `/products/sculpt-leggings`. Homepage bestseller is a $12 scrunchie.

If you paste the domain, you will audit the scrunchie. The campaign will still die on the leggings. Paste the leggings URL.

Suppose the report says:

- **Thin** — **Fails in Rubric A**: size option, no chart on the template.
- AOV also thin: no frequently-bought, add dumps to `/cart`.
- Hygiene: Shop Pay present (secondary — fine).

The week is not “redesign the brand.” The week is a size chart block, then a drawer that opens, then a complete-the-look pair — in that order. Recrawl the **leggings** after each step. **Fail in Rubric A** still means a buy-path week even if the AOV list is longer.

That paragraph is a store review. A 30-page deck that never names the URL is not.

## Mistakes that still show up in “professional” reviews

**Grading Dawn’s homepage sections.** Announcement bars and mega menus are not why the CPA is high.

**Counting apps in the source.** Five scripts can be one job. One script can be four jobs. Score what the shopper sees after add.

**Calling Shop Pay a competing primary.** It is express checkout. It should look like a secondary. That is correct.

**Treating notify-me as a buy button.** You reviewed a waitlist.

**Auditing once, never recrawling.** Theme publishes happen. App updates steal forms. A snapshot from last month is not the store.

**Publishing the health score without the product URL.** That is how scores become theatre.

## What to send internally so the review survives Slack

- Product URL (not the homepage).
- Report `?r=` id and date.
- One sentence: constraint vs leak.
- Owner: theme / developer / app.
- Recrawl after the merge, same handle.

If your Slack thread is screenshots of the homepage colour, you have not started.

## When the search is really something else

Sometimes **review my Shopify store** means “my theme looks old.” That is a design project. Say so. Run the PDP audit anyway so you do not restyle a page that cannot add to cart.

Sometimes it means “Google Shopping is disapproved.” Then JSON-LD vs catalogue and stock honesty move to the top. Still a product-page review. Still not a keyword map.

Sometimes it means “we want a partner.” Send them this article and the audit link. The ones who come back with a report URL are ready.

## A one-page sequence

1. Paste the store or the product.
2. Fix the top constraint.
3. Install at most one app-owned leak.
4. Audit again on that product URL.
5. Only then talk creative, email, or a paid “full store review.”

That is how you honour the search without drowning in a newspaper of checks.

### FAQ

**What is this score based on?**

Ninety9’s product-page rubric — defaults we apply the same way on every public Shopify PDP. It is not a conversion-rate prediction, and it will not fit every store or situation. [How we score](/blog/how-we-score-the-shopify-cro-audit.html).

**What does “review my Shopify store” actually mean?**

In search, it usually means “tell me why this shop is not converting.” The honest first answer is a live product page — add-to-cart, variants, price honesty, media — not a brand workshop.

**Can I review my Shopify store without logging in?**

Yes, for everything a shopper sees. Public HTML, catalogue JSON, the cart page, and — when Chromium is available — a real add-to-cart click. Admin, checkout, and customer data stay out.

**Is a free Shopify store review enough?**

It is enough to rank the leaks. It will not replace analytics, a creative test, or a positioning rewrite. Use it to decide whether the next hour is a theme fix or one install.

**Should I paste my homepage or a product URL?**

Homepage or domain is fine for a first look — the tool picks a bestseller. Paste /products/your-handle when the SKU in the ad is the one you care about.

**Who should review my Shopify store if I am not technical?**

Run the public audit yourself, then send the report link to a developer or an agency. The punch list is the brief. Do not start with “please look at the site.”

## Review Your Shopify Store Before You Spend on Ads

URL: https://ninety9.dev/blog/review-shopify-store-before-ads.html
Published: 2026-08-20 (updated 2026-09-21)
Category: CRO & Analytics
Reading time: 5 minutes

Review your Shopify store before paid traffic. A dead add-to-cart or a thin basket will burn the budget. Run a product-page audit on the SKU in the ad.

Paid traffic makes a sloppy store expensive. Organic can hide a missing add-to-cart for months. A campaign will not.

If you are about to spend, **review my Shopify store** means: review the **URL in the ad**, as a stranger, on a phone, before you raise the budget.

## The landing URL is the brief

Agencies still open the homepage out of habit. Shoppers from shopping ads and most Meta campaigns do not. They land on a product.

Paste that `/products/handle` into the [CRO Audit for Shopify stores](/cro-audit/). Do not paste the domain and hope the bestseller is the same SKU. It often is not.

If the campaign is a collection, pick the product you actually want the click to buy. Score that PDP. Then walk the collection as a human for merchandising. Do not mix the two scores.

## What burns budget on a PDP

### They cannot buy

No form. A variant grid that never enables ATC. Sold out with only notify-me while the ad says “in stock.” Compare-at equal to price. One blurry packshot on a tactile product.

Every click in that state is a refund to the ad platform.

### They can buy one unit and leave

No bundle, no quantity break, no cart goal. Your ROAS model assumed a $48 AOV because last year’s email buyers stacked. Prospecting buyers will not, unless the page asks.

Missing AOV is not a reason to pause a profitable campaign. It is a reason not to *scale* until the page asks.

### The page fights the click

Two primary ATCs. A popup that covers the form on first paint. A personalize modal before they can add. You paid for intent and then hid the button.

Express checkout is not the enemy. A second filled “Add to cart” in the buy box is.

## A pre-flight that takes twenty minutes

1. Open the ad preview. Copy the landing URL.
2. Run the public audit on that URL.
3. On your phone, add to cart. Did a drawer open, or did you hit `/cart`?
4. Check the first ranked miss. Theme or app.
5. If it is a constraint, fix it before the next daily budget increase.
6. If it is AOV, install one owner — not four.
7. **Audit again** on the same product URL.
8. Then scale.

## What you can ignore until after the first purchase

Blog SEO. A new announcement bar. Rewriting the about page. A second popup app. Colour-grading the logo.

Those can be real projects. They are not why the CPA is $90 on a $28 product.

JSON-LD price mismatch *is* in scope if you run shopping ads. The feed and the page should agree. The audit flags catalogue vs JSON-LD when it can see both.

## Sample campaign brief (steal this)

> Landing URL: https://shop.example/products/launch-sku  
> Public review: {report}  
> Constraint: none / {row}  
> AOV miss we will ship before scale: drawer | FBT | quantity break | none  
> Recrawl date: {date}  
> Budget increase only after recrawl is green on buy-path  

If media buying and CRO do not share this card, you will scale a broken form and argue about creative.

## Shopping ads and honesty

Shopping and Meta catalogue ads inherit title, price, and availability. If the PDP compare-at is fake, or JSON-LD says InStock while the button says Sold out, you are training the platform to send you the wrong click — and you may get disapproved.

The public audit flags catalogue vs JSON-LD when it can see both. It will not log into Merchant Center. If Shopping is the channel, add a human pass in GMC after the PDP is honest.

## Creative and CRO are not the same review

A store review before ads is not a critique of the UGC. If the hook is weak, your media buyer will tell you from the CTR. If the form is weak, the landing-page review should have told you before the spend.

Do not let a creative meeting absorb the ATC fail. Different owners, different week.

## Markets, discounts, checkout

Public review will not see your automatic discount, your B2B catalog, or Shop Pay’s conversion inside checkout. Note them as out of scope.

If the campaign is a code (`WELCOME10`) and the PDP does not mention it, that is a copy miss the machine may not score. Add a line in the theme. Recrawl will still not “see” the discount engine. The shopper will.

## After you are live

Re-audit weekly on the same SKU while the campaign runs. Themes drift. An app update can steal the form. A bundle widget can ship a second gold button.

Saved reports (`?r=`) are snapshots. Useful in Slack. Useless as a live monitor. Recrawl.

If you came from **review my Shopify store** because the ads dashboard went red, start with the landing PDP, not with a new bid strategy.

### FAQ

**What is this score based on?**

Ninety9’s product-page rubric — defaults we apply the same way on every public Shopify PDP. It is not a conversion-rate prediction, and it will not fit every store or situation. [How we score](/blog/how-we-score-the-shopify-cro-audit.html).

**Should I pause ads until I review my Shopify store?**

If add-to-cart is missing, variants cannot be chosen, or the price is dishonest, yes. If the page can sell and you are only missing a bundle widget, you can keep a small budget while you install.

**Which URL do I audit before a campaign?**

The exact /products/ URL in the ad. Homepage resolution to a bestseller is the wrong control for a launch SKU.

**Do I need a full creative review too?**

Later. Creative cannot rescue a form that does not submit. Do the product-page review first.

**Will a CRO audit see my Facebook pixel?**

No. It reads public storefront HTML, catalogue JSON, cart, and a rendered add. Tracking setup is a separate checklist.

**What if the ad lands on a collection?**

Audit a product in that collection — preferably best-selling in it — and also click through like a shopper. The collection itself is not a product-page score.

## Shopify Store Review Checklist for a Live Product Page

URL: https://ninety9.dev/blog/shopify-store-review-checklist.html
Published: 2026-08-20 (updated 2026-09-21)
Category: CRO & Analytics
Reading time: 6 minutes

A Shopify store review checklist that starts on the PDP — buy controls, honesty, AOV, and page fighting itself — so you are not grading the homepage first.

A checklist is only useful if the order matches how money is lost. This one is for people who searched **review my Shopify store** and got a 90-item SEO PDF. Throw that PDF in a folder. Walk the product page.

Print it, or run the [CRO Audit for Shopify stores](/cro-audit/) and use this as the commentary.

## 1. Can a stranger add to cart

- There is a product form or Shop Pay.
- The control is labelled Add to cart, Pre-order, or a clear local equivalent — not “Select options” that never enables.
- On mobile, the button survives the gallery. Sticky buy or a cart drawer counts. A button that scrolls away on a 700px fold does not.
- There is a way to ask a question: email, phone, a Contact page, or a chat widget. Header and footer on this page count. “Contact lenses” in the description does not.

If this section fails, stop. Do not review your colour palette.

## 2. Variants are choosable, not archaeological

- Size / colour / style exist as radios, swatches, or a select — not only in the title.
- Shopify’s default pickers count. An empty “Choose a size” placeholder is still a picker.
- If there is a size option, there is a chart or fit note *on the product template*, not buried in a footer policy.

A review that says “add more variants” without checking the picker is merchandising advice, not CRO.

## 3. Stock honesty

- In stock: the buy control is a buy control.
- Sold out: Pre-order (or continue selling) if you still want the sale. Notify-me is not a sale.
- JSON-LD `InStock` while every variant is unavailable is a lie to Google and to the shopper who arrived from shopping ads.

## 4. Price is a number, next to the button

- A price exists.
- Compare-at is higher than price, or it is gone. Compare-at equal to price is a fake sale. That is a theme fail, not an app opportunity.
- If you run Markets, spot-check one currency. This public audit will not log into Markets. Note it as out of scope rather than guessing.

## 5. Media that can carry a paid click

- More than one photo if the product has a back, a scale, or a on-body shot.
- Enough description that a first-time buyer is not guessing the material. Word count is a floor, not a novel.
- Video or 3D if the product is worn, assembled, or expensive enough that stills stall.

Do not fail a $9 add-on for lacking a hero film. Do fail a $180 garment with one packshot.

## 6. One primary CTA

- One filled add-to-cart (or pre-order) in the buy box.
- Shop Pay / Buy it now / Apple Pay are secondaries.
- Bundle “Add this” and frequently-bought ATCs are secondaries if they live in an offer module.
- Sticky ATC is a secondary if the main one already exists.

Two gold ATCs in the product form are the page fighting itself. Theme JS that repeats the string “add to cart” sixty times is not.

## 7. Offers that raise the basket

Tick what exists. Missing is not immoral. It is a leak.

- Frequently-bought or a bundle next to ATC (Addly’s job on this site).
- Quantity breaks / volume on the same SKU.
- A cart goal (free shipping, gift) visible on the PDP or in the cart (Goalify).
- Estimated delivery near the buy box.

If the product is already a bundle SKU, do not fail it for lacking a second bundle widget.

## 8. After add-to-cart

You cannot tick this from a screenshot of the source.

- Click add. Wait a few seconds.
- Cart drawer opens, or you were dumped to `/cart` (fail the drawer check).
- A popup may also appear. A drawer plus a popup is allowed. Four offer apps plus both widgets is a pile — hygiene, not a veto of the drawer.

Shipping protection belongs at checkout intent (cart). If it only exists as a blog post about insurance, it is not offered.

## 9. Trust and urgency without theatre

- Returns / delivery terms in the **product template**, not only in the footer.
- Payment icons or trust seals on the product page (header and footer count). A Shop Pay button is checkout, not a badge row.
- Reviews or an aggregate rating on the page.
- Urgency that could be true (inventory, a real countdown). Fake timers are a trust leak even if they “work” in a test from 2019.

## 10. Post-purchase is a Next row

Order edit and a second sale after pay are real money. A product-page review cannot see them. List them as unowned, not as a fail of the PDP. Reviso owns that window here. If you are writing a full **Shopify store review**, put post-purchase on page two, not in the same breath as “is the ATC findable.”

## Three pages, not the catalogue

When you review my Shopify store for a launch:

1. The hero SKU in the campaign.
2. The actual bestseller (homepage paste often lands here).
3. The configurable that usually breaks pickers (size + colour).

If all three pass buy-path and all three miss AOV, you have a platform problem, not a one-off theme bug. If only the configurable fails, you have a variant story.

## How this maps to a machine audit

The free CRO audit already scores most of these rows. Use the checklist when the machine is partial (unread HTML), when you need to judge photography, or when you are walking a client through the PDF.

Do not add SEO title tags to this list until add-to-cart is green. That is how checklists become newspapers.

## Red-team the checklist

Hand it to someone who did not write the theme. If they cannot finish it in forty minutes including the add-to-cart click, you added vanity rows.

Vanity rows: font pairing, logo whitespace, “storytelling in the mega menu,” blog posting cadence. Save them for a brand workshop.

## After you tick the boxes

Fix the first red constraint. Recrawl that product URL. Then pick **one** AOV miss. Then stop for the day.

A checklist you cannot finish is a museum. This one is meant to be finished before lunch.

### FAQ

**What is this score based on?**

Ninety9’s product-page rubric — defaults we apply the same way on every public Shopify PDP. It is not a conversion-rate prediction, and it will not fit every store or situation. [How we score](/blog/how-we-score-the-shopify-cro-audit.html).

**What should a Shopify store review checklist include?**

Buy controls, a way to ask a question, variant honesty, stock and pre-order, price, media, one primary CTA, then AOV widgets (bundle, goal, drawer, popup), then protection, trust badges, and post-purchase as a next step — not as the first slide.

**Do I need to review every product?**

No. Review the SKU in the ad, the bestseller, and one awkward configurable. Three pages beat a spreadsheet of two hundred handles.

**Should SEO be on the checklist?**

Not in the first hour. JSON-LD price mismatches matter because they lie in search. Keyword maps do not fix add-to-cart.

**How do I tick the cart without checking out?**

Add to cart and wait. If you land on /cart, the drawer failed. If a popup and a drawer both appear, note it — that is a stack problem only if they fight. Both existing is allowed.

**Can I automate this checklist?**

Yes. Paste the store into the free CRO audit. Use this article as the human overlay — especially for copy, photography, and “does this offer make sense for this SKU.”

## Shopify Store Review for Apparel, Beauty and DTC

URL: https://ninety9.dev/blog/shopify-store-review-by-niche.html
Published: 2026-08-20 (updated 2026-09-21)
Category: CRO & Analytics
Reading time: 4 minutes

How a Shopify store review changes by niche — size charts for apparel, routine stacks for beauty, landing SKUs for DTC ads — without a fake 40-row rubric.

A generic **review my Shopify store** template treats a t-shirt like a serum like a water bottle. The buy-path is shared. The ways shoppers stall are not.

Use one rubric. Change what you promote to the top of the punch list.

## Shared (every niche)

Run the [CRO Audit for Shopify stores](/cro-audit/) on a real `/products/` URL.

Still first:

- Can they add.
- Can they choose the option that exists.
- Is the price a sale or a costume.
- Is there one primary CTA.
- Does add open a cart they can keep shopping from.

If those fail, the niche essay can wait.

## Apparel and footwear

**Fit is the conversion.** A size option without a chart on the product template is a return engine. Footer policy does not count.

**Returns copy belongs near ATC.** “Free returns in 30 days” in the product info is a buy-path asset. The same sentence in the footer is SEO.

**Complete-the-look is the bundle.** FBT should be the jacket with the trousers, not a random bestseller. If your FBT is the same tee in another colour, that can still work — call it a colourway attach, not a bundle strategy.

**Two sizes in one cart** is why drawers matter. Dumping to `/cart` between sizes is how apparel shoppers lose the look.

**Sticky ATC** on long lookbooks. The fold is a gallery.

When you review an apparel shop, promote A8-style size-chart misses and drawer misses above a missing popup. Popups on lookbooks are how you get rage.

## Beauty and personal care

**Shade and size variants** must be obvious. A dropdown labelled “Default title” is a fail even if ATC exists.

**Routine is the basket.** Cleanser + treatment + SPF is frequently-bought. A random lip from another line is a merchandising accident.

**Selling plans.** If the catalogue has a subscription and the PDP has no selling-plan UI, that is a theme/app miss. If there is no selling plan, do not fail them for lacking a subscribe widget.

**Ugc and reviews** carry more weight than on a $12 commodity. Count the widget. Judge the content as a human (photo reviews vs empty stars).

**Popups.** Sampling and kits work. Exit-intent that covers the shade picker does not.

## Supplements and consumables

**Quantity breaks** are the AOV, not a scarf FBT. “3 for 12%” next to ATC is the review item.

**Subscribe** if they actually replenish. Fake subscribe UI is honesty.

**Claims vs media.** The audit will not referee your FDA copy. A human still should before ads.

## Durable goods and high AOV

**Video / 3D** moves up. Word count moves up. Delivery estimate moves up. Protection in the cart moves up.

**Bundles** might be accessories (cable, mount) not a second unit of the same SKU.

Do not fail them for lacking a BOGO. Fail them for one photo and no ETA.

## Pure DTC ad accounts

The niche is the **landing SKU**. Review that URL before the brand homepage. See [Review your Shopify store before you spend on ads](/blog/review-shopify-store-before-ads.html).

If the ad is a bundle SKU, do not also fail the page for missing FBT. The bundle *is* the offer. Check that the page does not grow a second gold ATC on top.

## Marketplaces and huge catalogues

Do not promise a store-wide review. Sample:

- Bestseller.
- New drop.
- Worst returner (ask the merchant — public crawl will not know).

Three PDPs plus a note that the rest is a programme, not a blog post.

## How to write the niche paragraph in the PDF

One paragraph after the ranked list:

> Apparel store. Size chart missing on the campaign SKU. Drawer dumps to cart, so two-size looks die. FBT is a bestseller tee, not the matching bottom. Popup not the priority.

That paragraph is why a human still exists. The machine ranked the rows. You ranked the week.

When a founder says review my Shopify store and they sell three categories, pick the money category’s hero SKU first. The other two can wait a day.

## Mixing niches on one shop

A brand that sells apparel *and* a $9 digital guide should not share one punch list. Audit each product type. The guide will fail a size chart. That fail is noise. The leggings missing a chart is not.

If the homepage paste always lands on the guide (bestseller by unit volume), you will under-review the margin SKU. Paste handles on purpose.

## What not to copy from another niche’s teardown

Do not import a supplement quantity-break onto a wedding-dress PDP. Do not import a complete-the-look grid onto a one-size software key. The rubric stays; the promoted rows change.

### FAQ

**What is this score based on?**

Ninety9’s product-page rubric — defaults we apply the same way on every public Shopify PDP. It is not a conversion-rate prediction, and it will not fit every store or situation. [How we score](/blog/how-we-score-the-shopify-cro-audit.html).

**Should every Shopify store review use the same checklist?**

Same buy-path, different emphasis. Apparel needs size and returns on the template. Beauty needs shade and a kit. A one-size digital SKU does not.

**I sell apparel. What is the first thing to review?**

Picker plus size chart plus honest stock. Then complete-the-look. Then the cart drawer so they can add a second size without dumping to /cart.

**Beauty specifically?**

Shade/variant clarity, a kit or FBT that is a routine (cleanser + moisturiser), and a subscription widget only if you actually have selling plans.

**We are DTC with heavy Meta ads.**

Review the landing SKU before you review the brand story. Ads make PDP bugs expensive.

**Can the free audit tell those niches apart?**

It scores the page it is given. You choose the URL. You interpret size-chart and kit misses in context.

## Shopify Store Review vs a Full CRO Programme

URL: https://ninety9.dev/blog/shopify-store-review-vs-cro-programme.html
Published: 2026-08-20 (updated 2026-09-21)
Category: CRO & Analytics
Reading time: 4 minutes

A Shopify store review is a ranked punch list on a live PDP. A CRO programme is tests, analytics, and weeks. Do not buy the programme to get the list.

Vendors blur language on purpose. “CRO audit,” “store review,” “growth programme,” “partnership.” If you typed **review my Shopify store**, you probably wanted a list. You are being sold a calendar.

Separate the products so you do not pay retainer rates for a paste.

## A store review (hours)

**Question:** Can they buy on this URL, and is the basket leaving money on the table?

**Inputs:** Public product page, catalogue JSON, cart, a click if possible.

**Output:** Ranked misses with owners. Health as a before/after on that URL. A status for the score (Solid, Strong, Uneven, Patchy, Thin, and so on) plus a line such as **Fail in Rubric A**. Out-of-scope list. Recrawl plan.

**Done when:** You know the next theme change and the next optional install.

The [CRO Audit for Shopify stores](/cro-audit/) is this product, automated.

## A CRO programme (weeks)

**Question:** Given traffic, what should we change, how do we know it worked, and who ships it?

**Inputs:** The review, plus analytics, recordings, margins, supply, campaigns, maybe checkout.

**Output:** A backlog with hypotheses, sample sizes or kill-by dates, and implementation.

**Done when:** Never, if it is healthy. It is a loop. That is the point.

If there is no loop, it was a review with nicer slides.

## Why the review has to go first

Programmes love workshops. Workshops love homepages. Homepages are not where shopping ads land.

If add-to-cart is missing, the first “test” is not a test. It is a repair. Treating repairs as experiments wastes calendar and pollutes your story (“we ran six tests” — five were installing the form).

Do the review. Repair. Recrawl. *Then* you have a baseline a programme can use.

## What each artefact should contain

| | Review | Programme |
| --- | --- | --- |
| URL | Required | Required |
| Ranked PDP misses | Required | Intake |
| Heatmaps | Optional | Usual |
| Test design | No | Yes |
| Checkout | Out of scope unless stated | Often in scope |
| Admin | No | When needed |
| Recrawl | Same SKU | Plus experiment readouts |

If a proposal has the left column only, pay review money. If it has the right, pay programme money and demand the left column on day one anyway.

## Analytics without a review

GA4 will tell you product-page exits. It will not tell you the button was `display:none` below 900px until you look.

Use analytics to pick **which** SKU to review when you have many. Use the review to see **why**.

A programme that starts in Looker and never opens the PDP is a reporting retainer.

## Reviews that pretend to be programmes

Red flags:

- Twelve-week timeline before anyone clicks add to cart.
- Deliverable is “opportunities” with no owners.
- You are not allowed to recrawl yourself.
- Every miss maps to their app, including missing product-form.
- No mention of theme.

Walk. Run the public audit. Hire a developer for the constraint. Re-open the conversation when the buy path is clear and AOV is still thin.

## Programmes that pretend to be reviews

Red flags:

- “We’ll hop on a call and look together” with no URL prep.
- One PDF, no backlog, no recrawl.
- Lighthouse as the cover.

That is a review. Price it like one.

## How to use both without politics

Week 0: public review, two SKUs (campaign + bestseller).  
Week 1: theme constraints. Recrawl.  
Week 2: one AOV install. Recrawl.  
Week 3+: programme if traffic exists and the question is now “which offer,” not “is there a form.”

Internal story for the founder: the review is the X-ray. The programme is physiotherapy. Buying physiotherapy because you refused the X-ray is how you stretch a broken bone.

## Language to steal for a brief

> We need a store review of {product URL} this week: buy-path and AOV on the PDP, public only. Separately we may want a CRO programme next month: tests on offers and cart, using analytics. Do not bundle them into one vague “CRO” line item.

If they cannot split the SKU, they cannot split the work.

When you are done splitting, the review is still a paste. That is allowed to be unglamorous. Unglamorous is how **review my Shopify store** gets a real answer.

## Who sits in which meeting

Review readout: founder, whoever owns the theme, whoever can install one app. Thirty minutes.

Programme standup: plus media, plus whoever reads GA4, plus whoever can say no to a test. That group should not assemble to learn that ATC was missing. They should assemble after recrawl is green on buy-path.

If the same meeting is used for both, the programme will eat the repair and nobody will recrawl.

### FAQ

**What is this score based on?**

Ninety9’s product-page rubric — defaults we apply the same way on every public Shopify PDP. It is not a conversion-rate prediction, and it will not fit every store or situation. [How we score](/blog/how-we-score-the-shopify-cro-audit.html).

**Is a Shopify store review the same as CRO?**

No. The review is the diagnosis on a public PDP. CRO is the habit of testing after the diagnosis. You need the first to spend the second well.

**Do I need GA4 before I review my Shopify store?**

No. You need a URL. Analytics tell you where volume dies. The review tells you whether the page can take money at all.

**How long is a real CRO programme?**

Weeks to months, with a backlog and kill criteria. A review is an afternoon. If a vendor sells a “programme” that is one PDF, it is a review at programme prices.

**Can the free audit replace a CRO retainer?**

It can replace the discovery PDF. It cannot replace tests, creative, or checkout work.

**What should I buy first?**

The review (free). Then theme fixes. Then one AOV install. Then, if you are still stuck with traffic, a programme.

## What a Shopify Store Review Should Include

URL: https://ninety9.dev/blog/what-a-shopify-store-review-covers.html
Published: 2026-08-20 (updated 2026-09-21)
Category: CRO & Analytics
Reading time: 4 minutes

A real Shopify store review covers buy-path, honesty, AOV, and stack hygiene on a live PDP — and names what it cannot see, including checkout and admin.

Scope is the difference between a store review and a pile of opinions. People who type **review my Shopify store** are asking for a diagnosis with an edge. This is the edge.

## In scope: the shopper’s product page

### Buy-path

Add-to-cart or Shop Pay. Variant pickers. Sticky buy or a drawer so mobile still has a button. Pre-order when you are selling empty inventory. These are constraints. They go first.

### Honesty

Price next to the button. Compare-at that is actually a sale. Stock that matches what the button says. Schema that does not contradict the catalogue. A size option with a chart if you sell apparel.

Honesty fails are often theme bugs. They are also the ones that get you in trouble with shopping ads.

### Media

Enough stills. Copy that is not a spec dump or a poem. Video when the product needs motion. This is judgement. A machine can count images and words. A human decides if the third photo is a crop of the first.

### One primary action

Filled ATC in the buy box. Express and bundle as secondaries. This is CRO hygiene, not branding.

### AOV modules

Frequently-bought, quantity breaks, cart goal, delivery estimate. Missing is a leak, not a moral failure. The review should say which job is empty, not “you need more apps.”

### Behaviour after add

Drawer vs `/cart`. Popup vs nothing. Protection at cart intent. You need a click — yours or Chromium’s.

The [CRO Audit for Shopify stores](/cro-audit/) is this scope, automated, with a cap on ranked fails so the document stays a punch list.

## Out of scope (unless the contract says otherwise)

**Checkout.** Shopify-hosted. Payment apps, Shop Pay split, address validation — different tools, usually a login.

**Admin.** Inventory policies, markets, discounts, customer segments. A public review that claims to have seen them is lying.

**Email Klaviyo flows.** Not on the PDP.

**Creative.** UGC quality, hook rate, brand world. Adjacent, not the same PDF.

**Full IA.** Collection taxonomy for 2,000 SKUs is a merchandising project.

**Legal.** GDPR banners are not CRO. Cookie consent is not a ranked miss unless it blocks the form — then it is a constraint, and you say that plainly.

Write the out-of-scope list *on page one*. That is how you stop the client adding “also SEO, also email, also the app store” in week two.

## Owners, not vibes

Every miss needs an owner:

| Miss | Typical owner |
| --- | --- |
| No ATC / broken picker / fake sale | Theme |
| No FBT / quantity break | Offer app (Addly here) |
| No goal bar | Goalify or equivalent |
| No drawer / dump to cart | Cart app (Addy) |
| No add or exit popup | Monet or equivalent |
| No protection in cart | Cart app |
| Post-purchase edit / second sale | Reviso or equivalent |

If you cannot name an owner, it is not a finding yet. It is a feeling.

## Evidence

A review without evidence is a tweet.

- Product URL.
- Timestamp.
- Screenshot of buy box and of after-add (if you have Chromium).
- Report id for the snapshot.
- Exact copy you searched for (“Add to cart”, “Notify me”, “Get the bundle”).

Do not screenshot the homepage and caption it “store review.”

## Length and ranking

Constraints first. Then opportunities. Then hygiene (stack pile, competing primaries). Then Next.

Cap the ranked list. Seven plus a post-purchase note is enough to work. The rest can live in an appendix the client will not read.

Health score is optional on the cover. It is a coverage metric. A high score with a red constraint is still a red week.

## How this differs from an SEO audit

An SEO audit wants indexation, titles, internal links, schema completeness. A store review wants the sale.

JSON-LD belongs in both when price or availability is wrong. Keyword maps belong in SEO. If your “store review” is 80% titles, you answered the wrong query.

See also [CRO audit vs SEO audit](/blog/cro-audit-vs-seo-audit-shopify.html) if you are writing both documents. Keep the files separate.

## A template outline you can steal

1. URL, date, device, how you crawled (paste vs Chromium).
2. Verdict in one line (Solid / Strong / Uneven / Patchy / Thin / Friction / Leaky / Drop-off / Partial) — a score band, not a failed-audit stamp.
3. Ranked misses with owner and fix.
4. What you did not see.
5. Recrawl plan (same `/products/` URL).

That outline *is* what a Shopify store review should include. Everything else is optional paid work.

If you still just want to **review my Shopify store** this morning, paste it, export the PDF, and fill section 4 by hand.

### FAQ

**What is this score based on?**

Ninety9’s product-page rubric — defaults we apply the same way on every public Shopify PDP. It is not a conversion-rate prediction, and it will not fit every store or situation. [How we score](/blog/how-we-score-the-shopify-cro-audit.html).

**What should be in a Shopify store review?**

Whether a stranger can buy on a real product page, whether the page asks for a larger basket, whether widgets fight, and a short out-of-scope list (checkout, admin, creative).

**Is SEO part of a store review?**

Only where it lies to the shopper — JSON-LD vs catalogue price or stock. Keyword research is a different deliverable.

**How long should the document be?**

A punch list plus evidence (screenshots, report id). If it needs a table of contents with twelve chapters, you built a newspaper.

**Do I include every app on the shop?**

Fingerprint what is competing. Do not write a paragraph on each. “Four offer apps on one PDP” is the finding.

**Where does post-purchase go?**

In a Next section. A PDP review cannot score thank-you. Pretending it can is how reviews lose trust.

## What the CRO Audit for Shopify stores Actually Is

URL: https://ninety9.dev/blog/what-is-the-shopify-cro-audit.html
Published: 2026-08-20 (updated 2026-09-21)
Category: CRO & Analytics
Reading time: 6 minutes

The CRO Audit for Shopify stores is a public product-page check: buy path first, then missed AOV, with no admin login. Paste a domain or product URL.

The CRO Audit for Shopify stores is a short, public-storefront check of a live product page: what can stop the sale, then what fails to grow the basket. You paste a store or a product URL. It does not log into Shopify, it is not an SEO audit, and it is not a 40-item newspaper. Fixes first.

Most “CRO tools” are either heatmaps you stare at for a quarter or 40-item checklists that mix SEO, accessibility, and a shipping-policy link into one score. Neither tells you the next install. This one does.

## What it is

You paste a store or a product URL. Password-protected stores work too. It looks at the product page the way a shopper would, then returns a short punch list: constraints that can stop the sale, then missed AOV. [How we score](/blog/how-we-score-the-shopify-cro-audit.html) if you want the basis, not only the sheet.

It ranks buy path first, then missed AOV, then hygiene, and stops at seven findings plus a post-purchase note. Each miss that an app owns names the owner so you install one leak, not a suite. Theme issues stay on the theme.

Run it at the [CRO Audit for Shopify stores](/cro-audit/). Paste a domain if you do not have a `/products/` URL handy. Homepages resolve to a bestseller.

## What it is not

It is not a Shopify admin login. It does not install an app. It does not see checkout, customers, or orders. If the shop is password-protected, you may share the store password; we use it once to open the shop and we do not keep it.

It is not an SEO audit. Title tags and schema do not stop a cart. An add-to-cart button that dies on scroll does. It does not score titles, meta descriptions, Core Web Vitals as a ranking factor, or backlinks.

It is not a conversion-rate oracle. It cannot see your analytics. A page can pass every check and still convert poorly if the offer, the price, or the ads are wrong. The audit answers a narrower question: on this URL, is the page *able* to take money, and does it *ask* for more of it.

It does not need theme access. Custom stores we cannot open like a normal Shopify shop are skipped.

## What it scores

Three scored rubrics, then a note after they pay. The [checks on a product page](/blog/what-the-shopify-cro-audit-checks.html) post is the layer-by-layer version. The short version:

**Rubric A — can they buy?** Add-to-cart, variant choice, stock honesty, a real price, enough media, a buy control that survives scroll, and a way to ask a question (contact or chat on that page).

**Rubric B — does the basket grow?** A product-page offer, quantity breaks, a cart goal, delivery, proof, a drawer after add, an intent popup, urgency that is not theatre.

**Rubric C — is the buy box fighting itself?** Stacked widgets, too many primaries, protection in the cart, trust badges.

Post-purchase is **Next**, not a fail. Seven ranked misses plus a Reviso note. A newspaper of forty checks does not get acted on.

## How a URL becomes a product page

If you paste `https://yourstore.com/products/the-handle`, that page is scored.

If you paste `yourstore.com` with no scheme, the homepage, or a collection, the audit looks for a **best-selling** product, then any product linked from the page you sent, then any product in the public catalogue. Paste a specific `/products/` URL only when you care about that SKU.

That is friction removal, not a guess at your strategy. Bestsellers are usually the page that pays for traffic. If you want a new launch scored, send that URL yourself.

Worked example: you are about to install “one more AOV app.” Paste the store. The report scores the bestseller, fails sticky add-to-cart (theme) and a cart goal (app). You fix the theme row first. You do not install a popup on a page that cannot add to cart.

## What you get back

A health score, a status for the score band (Solid, Strong, Uneven, Patchy, Thin, and so on), a short line beside the status such as **Fail in Rubric A** (or **Fails** if more than one miss in that rubric), a ranked list of fails, and — when the server can render the page — screenshots before and after add-to-cart so you can see whether a drawer or popup actually appeared.

Each miss that an app owns carries a logo and an install link. Addly for PDP offers and quantity breaks. Goalify for cart goals. Addy for the drawer, delivery, urgency and protection. Monet for add-to-cart and exit popups. Reviso for after checkout. Not every miss is an install.

You can download a PDF of the punch list, or a compact badge with a QR that opens the saved report. The QR does not recrawl the store. Saved snapshots stay until the merchant deletes them. The share link opens that snapshot and does not re-audit the store.

## Who it is for

Merchants who are about to install “one more AOV app” and want the leak named first. Agencies who need a 90-second artefact before a call. Students who need a score they can put on a slide.

Do not submit stores you are not authorised to have checked. Merchants can opt out with a meta tag in `theme.liquid`: `content="no"` stops new crawls; `content="no,delete"` also erases stored reports when they paste the shop URL on the CRO audit page.

It will not replace a strategist. It will stop you installing a popup on a page that cannot add to cart. [How to run it](/blog/how-to-run-the-shopify-cro-audit.html) is the next step after this definition.

### FAQ

**What is this score based on?**

Ninety9’s product-page rubric — defaults we apply the same way on every public Shopify PDP. It is not a conversion-rate prediction, and it will not fit every store or situation. [How we score](/blog/how-we-score-the-shopify-cro-audit.html).

**Is this an SEO audit?**

No. It does not score titles, meta descriptions, Core Web Vitals as a ranking factor, or backlinks. It scores whether a shopper can add the product and whether the page and cart ask for a larger basket.

**Does it need theme access?**

No. It looks at the product page the way a shopper would, including after add to cart when we can. Password-protected stores work too — paste the store password if we ask. Custom stores we cannot open like a normal Shopify shop are skipped.

**Will it always recommend a Ninety9 app?**

The rubric names the app that owns each leak. Theme issues (copy, variants, fake compare-at prices, thin media) stay on the theme. Not every miss is an install.

**Can I audit a competitor?**

Technically the check only reads public pages. Do not submit stores you are not authorised to have checked. Merchants can opt out with a meta tag in theme.liquid (content="no" to block, content="no,delete" to also erase stored reports).

**How long does a report last?**

Saved snapshots stay until the merchant deletes them with content="no,delete" on the CRO audit page. The share link opens that snapshot and does not re-audit the store.

## What the CRO Audit for Shopify stores Checks on a Product Page

URL: https://ninety9.dev/blog/what-the-shopify-cro-audit-checks.html
Published: 2026-08-20 (updated 2026-09-21)
Category: CRO & Analytics
Reading time: 5 minutes

The Shopify CRO audit checks buy path first, then missed AOV, then buy-box hygiene, plus a post-purchase note. Seven ranked findings, not a newspaper.

The CRO Audit for Shopify stores checks a live product page in order: can they buy, then does the basket grow, then is the buy box fighting itself, then a post-purchase note that does not count as a fail. It is a filter, not an encyclopedia — three scored rubrics plus Next, so a merchant can act the same day.

[How we score](/blog/how-we-score-the-shopify-cro-audit.html) is the basis: Ninety9’s product-page rubric, not a conversion forecast. [What the audit actually is](/blog/what-is-the-shopify-cro-audit.html) is the definition. This post is the layers.

## How the rubric is ordered

Buy path first. If add-to-cart is missing, the rest of CRO is fan fiction. AOV second, once the page can sell. Hygiene third, so stacked widgets do not hide a working button. Post-purchase last, as **Next**, not a fail.

The report **status** is a score band (Solid, Strong, Uneven, Patchy, Thin, and so on). The short line beside it names which rubric missed — **Fail in Rubric A** is still a buy-path week even if four AOV rows also failed. The sheet shows every row; the big word is how the number scored. Ranked misses stay capped at seven plus one post-purchase note so you act.

Run a store or a product URL in the [CRO Audit for Shopify stores](/cro-audit/). Paste a domain if you want a bestseller. Paste a `/products/` URL if you already know which page is leaking.

## Rubric A — can they buy?

If add-to-cart is missing, the rest of CRO is fan fiction.

The crawl looks for a real buy control, variant choice that does not dead-end, stock that matches what the page claims, a price that is not a fake compare-at, enough media to justify the ask (three or more photos, or a video / 3D viewer), a control that still exists after the shopper scrolls — sticky bar or a drawer that counts as “still there” — and a way to ask a question (email, phone, contact page, or a chat widget). Header and footer on that product page count.

These are mostly theme jobs. The report will not pretend an app install fixes a $0.00 price.

Worked example: the featured image is fine, but add-to-cart sits below the fold on a phone and there is no sticky bar. Rubric A fails. Week one is a theme ticket, not a bundle app.

## Rubric B — does the basket grow?

Once the page can sell, the question is whether it asks for more.

- A product-page offer (frequently bought together, bundle, add-on) — Addly owns the miss if the theme is silent. A theme FBT block can pass this check without Addly.
- Quantity or volume breaks — also Addly; a theme FBT block does not satisfy this.
- A cart goal (free shipping, gift, threshold) — Goalify.
- Delivery promise, proof, urgency that is not a fake countdown, shipping protection — Addy territory when they belong in the cart.
- A cart drawer after add, and an intent popup on add or exit — Addy and Monet respectively.

The crawl uses public product HTML, `/products/{handle}.js`, `/cart`, and when Chromium is available a real add-to-cart so the drawer is not a ghost in the theme JSON. Screenshots after add-to-cart exist because drawers and popups often exist only after the click. Static HTML misses them.

## Rubric C, then after they pay

Stacked widgets that fight each other. Too many primaries. Protection in the cart. Trust badges (payment icons, seals) on the product page — header and footer count. JSON-LD that disagrees with the catalogue — a shopping-feed problem, not a missing buy button. That is rubric C — hygiene at the buy box.

Post-purchase is **Next**, not fail (rubric D). The audit never reaches the thank-you page. Reviso is named so you know the job exists. It does not count against health.

Checkout is Shopify-hosted and not a public product page. The audit stops at the cart. Payment methods and Shop Pay are out of scope.

## What is deliberately missing

SEO titles. Alt text as a ranking factor. Blog internal links. Accessibility as a 50-item WCAG dump. Those can be real work. They are not this rubric.

Analytics. The audit cannot see add-to-cart rate. It can see whether the button exists.

Discounts and checkout. Private codes and Shop Pay are not in the public HTML we are allowed to fetch without logging in.

A pass means the signals the rubric can see are present. Copy, photography, offer and ads still decide conversion.

## How to read a miss

Each finding is a constraint or an AOV miss, with an owner when an app owns the job. Install the owner of the **top** miss if it is an app row. Fix the theme if it is a theme row. Do not average them into “we need more apps.”

Seven ranked misses plus one post-purchase note is enough to pick the next hour of work. A 40-row SEO newspaper does not get a theme ticket.

[How to run the audit](/blog/how-to-run-the-shopify-cro-audit.html) is the click-path. The rubric is short so the next action fits in a standup, not a workshop.

Paste a domain if you want a bestseller. Paste a `/products/` URL if you already know which page is leaking. Then do the top row — theme or app — and stop stacking installs.

### FAQ

**What is this score based on?**

Ninety9’s product-page rubric — defaults we apply the same way on every public Shopify PDP. It is not a conversion-rate prediction, and it will not fit every store or situation. [How we score](/blog/how-we-score-the-shopify-cro-audit.html).

**Why isn't checkout in the audit?**

Checkout is Shopify-hosted and not a public product page. The audit stops at the cart. Payment methods and Shop Pay are out of scope.

**Why only seven findings?**

A 40-row SEO newspaper does not get a theme ticket. Seven ranked misses plus one post-purchase note is enough to pick the next hour of work.

**Does a pass mean the page is good?**

It means the signals the rubric can see are present. Copy, photography, offer and ads still decide conversion.

**Can a theme FBT pass the offer check?**

Yes. If the live HTML already sells an add-on or bundle, the offer check can pass without Addly. Quantity breaks are a separate check.

**Why screenshots after add-to-cart?**

Drawers and popups often exist only after the click. Static HTML misses them. Chromium clicks add, waits, then scores what appeared.

## A Free Product Page Audit for Shopify Stores

URL: https://ninety9.dev/blog/free-shopify-product-page-cro-audit.html
Published: 2026-08-19 (updated 2026-09-21)
Category: CRO & Analytics
Reading time: 7 minutes

Run a free CRO audit on any Shopify product page. Paste a URL and get a health score, ranked fixes, a badge and a PDF — no admin.

The free CRO Audit for Shopify stores reads one live product page and its cart the way a shopper would, scores it against a product-page rubric, and hands back a health score with a short, ranked punch list. There is no admin login and no credit card. Paste a bare domain and it picks a bestseller for you; paste a `/products/` URL when you care about a specific SKU.

Paid CRO retainers start with a crawl of your theme, a heatmap, and a slide titled “opportunities.” That work has a place. It is the wrong first move when you have not even checked whether the product page can take money. The audit is the first move that costs nothing: paste the store, get a punch list, decide whether the next hour is a theme fix or one install.

## What is a free product page CRO audit?

A product page CRO audit is a structured check of whether a single product detail page (PDP) can take money and whether it asks for more of it. CRO is conversion rate optimisation: turning more visitors into buyers and more buyers into larger orders. The free version at [/cro-audit/](/cro-audit/) works from the outside. It opens the public page, the public cart and Shopify’s public product payload, then compares what it finds against three rubrics:

- **Rubric A — can they buy?** Add-to-cart, price, variants and stock.
- **Rubric B — does the basket grow?** Offers, cart goals, delivery expectation and reviews.
- **Rubric C — is the page fighting itself?** Hygiene, such as structured data that disagrees with the price a shopper sees.

The output is a health score, a status word for the band that score sits in, and ranked findings: issues first, then opportunities, then anything the crawl could not verify. The basis for the number is set out in [How we score](/blog/how-we-score-the-shopify-cro-audit.html).

## Why audit the product page and not “the store”?

Most Shopify revenue still starts on a PDP. Collections and home are discovery. Checkout is Shopify’s. The page you pay to land traffic on is the one that has to add to cart, then has to ask for a larger basket.

Auditing “the store” as an abstract is how you get a 40-row spreadsheet. Auditing one product is how you get a constraint you can fix this afternoon. A store-wide grade also hides the thing that matters most: whether the page your ads point at is able to sell at all.

## What does “free” include?

Public HTML of the product. Shopify’s public `/products/{handle}.js` payload. Public `/cart`. When the server can run Chromium, a rendered DOM and a real add-to-cart click so drawers and popups that only appear after add can be scored.

It does not include your conversion rate, your discount codes, or a walkthrough of checkout. Those need analytics or a login. This tool does not ask for either.

## How do I run the free audit on my Shopify store?

1. Open the CRO Audit page and paste `yourstore.com`, a homepage, a collection or a `/products/` URL into the text box.
2. Submit. If you pasted a non-product URL, the report tells you which product it chose so a homepage paste is never mistaken for a full-catalogue audit.
3. Read the status line beside the score first. It names the rubric that missed — **Fail in Rubric A** is a buy-path problem regardless of how the number looks.
4. Work down the ranked list. Each row is either a theme job or an app row with a named owner.

## Friction we removed on purpose

Chrome rejects `yourstore.com` on an `<input type="url">`. People bounce. The field is plain text. Missing `https://` is added for you.

People also bounce when they cannot find a product URL in the address bar because they are looking at the homepage. If you paste the homepage, a collection, or the domain, the audit navigates to a **best-selling** item when Shopify exposes one, then falls back to any product on the page, then any product in the catalogue.

If you care about a specific SKU — a new drop, a problem child, the page in the ad — paste that `/products/` URL yourself. We will not override it.

## What should I do with the result?

1. If a constraint is red (no add-to-cart, broken variants, fake compare-at, no media), fix the theme before you buy another AOV app. Status will say something like **Fail in Rubric A**.
2. If the page can sell but the basket is thin, install the owner of the top miss — one leak, not five apps on day one.
3. If buy path and AOV look covered but widgets fight the buy box, that is hygiene — fix the stack before you add another offer app.
4. Re-run after the fix. Same product URL. Use Audit again so you are not looking at a 10-minute cache.

| What the report says | Where the fix lives | Your next hour |
|---|---|---|
| Fail in Rubric A | Theme | Repair add-to-cart, variants, price or stock before anything else |
| Rubric B misses only | Usually an app row | Install the owner of the top miss, then re-run |
| Rubric C hygiene | Theme or app stack | Remove the conflict, then re-run |
| Partial | Nothing yet | The theme could not be read; check the URL and try again |

### A worked example

Say your bestseller is a $45 candle and the report comes back at 68, **Thin**, with **Fail in Rubric A**: the buy button is gone once a phone scrolls past the description, with no sticky bar and no drawer. Beneath it sit two Rubric B misses — no offer on the page and no cart goal. The tempting move is a bundle app. The right move is the sticky control this afternoon, then a re-run on the same URL. If your free-shipping line sits at $60 against a $45 average, the cart goal is the second job, not the first.

## Common mistakes with a free audit

- Comparing two different products and calling the gap “progress”.
- Re-running inside the cache window after a theme change and reading the old snapshot.
- Treating the badge as a diagnosis. The badge is the number; the PDF and on-page report are the work.
- Installing every named app on day one. The list is ranked so you install one.
- Pasting the homepage and telling the team you audited the whole store. You audited a bestseller.

The specific misses that turn up most often are covered in [the leaks the audit finds first](/blog/product-page-leaks-cro-audit-finds.html).

## When is a free audit not the right tool?

It cannot see analytics, so “why did conversion drop last Tuesday” needs your reports, not this. It cannot see discount codes or checkout, so payment and shipping-rate questions stay with Shopify’s own settings. And it will not tell you whether the offer itself is right; a page can pass every row and still sell badly if the price or the ad is wrong. Use the audit to confirm the page is able to take money and asks for more of it, then spend the saved hours on the offer.

Share the report with a colleague via the `?r=` link. That snapshot does not recrawl. The badge is for a slide; the PDF is for the punch list behind the number.

A free check is only useful if it is short enough to run before the App Store tab. That is the whole product.

### FAQ

**What is this score based on?**

Ninety9’s product-page rubric — defaults we apply the same way on every public Shopify PDP. It is not a conversion-rate prediction, and it will not fit every store or situation. [How we score](/blog/how-we-score-the-shopify-cro-audit.html).

**Is the CRO Audit for Shopify stores really free?**

Yes. There is no login and no credit card. Heavy use is rate-limited so one store cannot knock over the queue for everyone else.

**What if I only know my domain?**

Paste it. https:// is optional. The audit finds a bestseller, then any product linked on the page, then any product in the public catalogue, and tells you which product it picked.

**Can it audit a collection page?**

It will not score the collection grid as a product. It uses that page to find a product, preferably a bestseller in that collection, and scores the product page instead.

**Why might the audit fail?**

Custom stores we cannot open like a normal Shopify shop, private IPs, and merchants who added the opt-out tag (content="no" or content="no,delete"). Password-protected stores are not a fail — paste the store password from Online Store → Preferences if we ask.

**What should I fix first after a free product page audit?**

Whatever the status line names. A Fail in Rubric A means the buy path is broken and is a theme job before any app. If only Rubric B rows missed, install the owner of the top miss, re-run the same product URL, then decide on the next one.

**Does a free audit mean a sales pitch?**

The report names the app that owns each miss, with an install link. Theme problems stay on the theme. You can close the tab after the punch list and fix everything yourself.

## Don't Install Another Shopify App Until You Audit the Product Page

URL: https://ninety9.dev/blog/dont-install-another-app-until-you-audit.html
Published: 2026-08-18 (updated 2026-09-21)
Category: CRO & Analytics
Reading time: 4 minutes

Audit the live Shopify product page before you install another AOV app. Fix what stops the sale, then add the one owner of the miss.

The Shopify App Store is a slot machine with five-star reviews. A leaky product page plus one more upsell app is still a leaky product page, now with a modal.

Audit first. Install second. That order is the entire article.

## Why another app usually fails

You are converting at 1.8%. AOV is $54. Someone in Slack says “we need a cart drawer.” You install one. Then a free-shipping bar. Then a bundle widget that never matches the PDP template. Three weeks later LCP is worse, the bar covers the sticky add-to-cart on mobile, and AOV moved $1.20.

None of those apps were frauds. They were solutions to the wrong constraint.

Buy-path problems (no add-to-cart, variants that 404, a price of $0.00, three blurry images) dominate conversion. Missed AOV (no offer, no goal, no drawer, no popup) dominates order value. Mixing them into one “install more CRO” instinct is how you put a popup on a page that cannot buy.

## What to check before the App Store

Can a shopper pick a variant and add it. Does the control survive scroll. Is the price real. Is stock honest. Is there enough media to justify the ask.

If any of those fail, the next hour is the theme. Not an upsell popup. Not a bundle widget.

If they pass, the next question is whether the page and cart ask for more money. That is where a single owner helps: Addly on the product page, Goalify on the goal, Addy on the drawer, Monet on intent, Reviso after pay.

## How a public product-page audit enforces the order

The [CRO Audit for Shopify stores](/cro-audit/) ranks fails with buy path above AOV above hygiene. Status follows that order. It stops at a short ranked list plus a post-purchase note. It will not give you a shopping list of every widget you could turn on.

Paste the store if you do not want to hunt a URL. It picks a bestseller. That is usually the page your ads already buy. If the problem child is a different SKU, paste that product yourself.

The report names a suggested owner after a miss. That is a job title, not a required install. Theme work stays on the theme. Another app, a theme block or native Shopify can pass the same row.

## One leak, then stop

After the report, install **one** owner. Re-audit. If health moved and the next miss is a different job, consider a second app. If health did not move, the widget is not rendering — app embed off, wrong template, or a theme section eating the selector.

A useful stack is one drawer, one goal, one product-page offer and one post-purchase tool. Three popups fighting for the same add-to-cart is a pile.

## Who this is for

Merchants: send the punch list to whoever has theme access before you buy another monthly plan.

Agencies: run the public URL before the proposal so week one is not “discover add-to-cart is missing.”

Students: the shareable report is the artefact. Say what you would hire a human for next.

The App Store will still be there after you know which leak you are paying to fix.

### FAQ

**What is this score based on?**

Ninety9’s product-page rubric — defaults we apply the same way on every public Shopify PDP. It is not a conversion-rate prediction, and it will not fit every store or situation. [How we score](/blog/how-we-score-the-shopify-cro-audit.html).

**Can't I just install a suite and turn features off?**

You can. You will still pay with theme weight, support surface and overlapping UI. One diagnosed leak is cheaper than a suite dump.

**What if the audit recommends an app I already have?**

Then the widget is not visible to the check — wrong template, app embed off, or it only appears after a condition the crawl did not hit. Fix detection before you buy a second tool for the same job.

**Should I uninstall everything first?**

No. Audit the live page as customers see it. Uninstalling to “get a clean score” is not how shoppers shop.

**How many apps is too many?**

The number that overlap on the same moment. One drawer, one goal, one PDP offer, one post-purchase tool is a stack. Three popups is a pile.

**Will the audit always tell me to install Ninety9?**

Theme fails stay on the theme. App-owned misses name Addly, Addy, Goalify, Monet or Reviso because those are the jobs we built. You can ignore the link.

## How to Increase Average Order Value on Shopify (The Complete 2026 Playbook)

URL: https://ninety9.dev/blog/how-to-increase-average-order-value-shopify.html
Published: 2026-08-16 (updated 2026-09-21)
Category: Average Order Value
Reading time: 11 minutes

A practical guide to raising Shopify AOV: the levers that work, where each belongs in the funnel, and how to pick which to ship first.

There are exactly three ways to make an ecommerce store bigger. Get more visitors. Convert more of them. Or make each order worth more.

The first is a budget question and gets more expensive every year. The second is real work with a hard ceiling — most categories top out somewhere between two and four percent, and getting from 2.1% to 2.4% takes months of testing. The third is the one most stores treat as an afterthought, and it is the only one where the improvement is permanent, applies to every channel simultaneously, and costs nothing per additional order.

This guide is the complete version: the eleven levers that reliably work, where each belongs, and how to decide which one deserves your next week.

## The maths that makes this worth reading

Take a store doing 1,000 orders a month at a $58 average order value. That is $58,000 in monthly revenue.

Now add $9 to the average order. One accessory, one quantity break, one nudge across a free shipping line. Same traffic, same conversion rate, same ad spend.

| | Before | After +$9 AOV | After +15% conversion |
|---|---|---|---|
| Orders / month | 1,000 | 1,000 | 1,150 |
| Average order value | $58 | $67 | $58 |
| Revenue | $58,000 | $67,000 | $66,700 |
| Extra ad spend | — | $0 | ~$4,400 |
| Extra gross profit (at 55% margin) | — | **$4,950** | **$400** |

Both columns produce roughly the same revenue. Only one of them produces meaningful profit, because a conversion-rate win still carries the acquisition cost of the extra sessions, while an AOV win carries almost no marginal cost at all.

That asymmetry is the entire argument. It is also why AOV work is usually the highest return-on-effort project available to a store doing more than a few hundred orders a month.

## Measure three numbers, not one

The single most common mistake is optimising AOV in isolation. Every tactic below can be gamed into a higher average order value while making the business worse. Watch all three of these together:

1. **Average order value** — revenue ÷ orders, for a fixed window.
2. **Conversion rate** — sessions that end in an order. If a tactic adds friction before commitment, this drops.
3. **Gross profit per order** — revenue minus COGS minus discount minus shipping cost, ÷ orders. This is the number that pays your rent.

A bundle that lifts AOV from $58 to $71 by giving away 30% is often a loss. A free shipping threshold set below your true fulfilment cost raises AOV and destroys margin. Always run the third number.

Gross profit per session. It captures conversion rate, order value and margin in one figure, and it is almost impossible to game.

## The four positions

Every AOV tactic sits at one of four points in the journey. They behave differently and they compound, because a shopper who adds an accessory on the product page can still cross a shipping threshold in the cart and still accept a post-purchase offer.

| Position | Shopper state | What works here | Risk to conversion |
|---|---|---|---|
| Product page | Still deciding | Bundles, quantity breaks, frequently bought together | Medium — can add friction |
| Cart | Committed to buying | Progress bars, in-cart upsells, gift thresholds | Very low |
| Exit / checkout start | Leaving or converting | Exit-intent offers, add-to-cart popups | Low if intent-triggered |
| Post-purchase | Already paid | Order edits, upsells on the confirmation and edit screens | Zero |

Most stores start at the cart, because the risk is lowest and the effect is quickest. That is the right instinct.

## Lever 1: The free shipping threshold

The highest-leverage single change most stores can make, and the one most often set by guesswork.

Free shipping is not a discount; it is a *goal*. It converts a passive basket into an active one by giving the shopper a number to reach. The mechanic works even when the shipping fee it replaces was small, because the shopper is no longer weighing $6.90 against convenience — they are chasing a finish line.

Setting the number properly:

- Pull your order value distribution for the last 90 days, not your average. The average hides the shape.
- Find the 60th–75th percentile of order value. Your threshold belongs in that band.
- Sanity-check against margin: the gross profit on the incremental spend must exceed your average shipping cost.
- Set it per country. A €75 threshold in Germany and a €75 threshold in Bulgaria are not the same offer.

A threshold set at your median order value is too low — most shoppers cross it without changing behaviour and you have simply given away shipping. A threshold set at twice your median is too high — it reads as unreachable and shoppers disengage from the goal entirely.

## Lever 2: The progress bar

The threshold does nothing if the shopper cannot see how close they are. A progress bar turns an abstract policy line into a live, personal, incomplete task — and incomplete tasks are uncomfortable in a way that reliably produces one more item.

Three things separate a bar that works from a bar that decorates:

- **It must show the remaining amount, in the shopper's currency.** "Spend $23 more for free shipping" beats "Free shipping over $75" by a wide margin, because one is about them and the other is about you.
- **It must appear where the decision happens.** The cart drawer first, the cart page second, the product page third. A sticky top bar is useful reinforcement but rarely the primary driver.
- **It must celebrate the crossing.** The state change when the goal is met is what makes the next goal credible.

## Lever 3: Stacked goals

One threshold captures one behaviour change. A shopper who lands at $76 on a $75 free shipping threshold has no reason to go further, and you have left the entire upper half of your distribution untouched.

Stacked goals fix this by revealing the next target the moment the current one is met:

- $50 → free shipping
- $85 → 10% off the order
- $130 → free gift

Each threshold is placed at a percentile of your distribution rather than at a round number that felt nice. The result is a mechanic that keeps working across the whole range of basket sizes instead of only at one point on it.

The margin discipline here is straightforward: the cost of each reward must be less than the gross profit on the incremental spend required to unlock it. Model each tier separately.

## Lever 4: Quantity breaks

The simplest bundle there is: buy two, save 10%; buy three, save 15%. No pairing logic, no catalogue work, no design decisions beyond a table.

Quantity breaks work best on consumables, anything with a predictable replenishment cycle, and anything where the shopper's real question is "how many" rather than "which one". They work poorly on considered single purchases — nobody wants two sofas.

The maths matters more than the design. A 15% discount on three units is only worth taking if your gross margin comfortably exceeds it *and* the customer would not have bought three units anyway. Cannibalisation is the real cost of a quantity break, and it is invisible in the AOV number.

## Lever 5: Frequently bought together

The classic, and still the highest-converting product-page upsell when the pairs are right.

The mistake is picking pairs by category. A phone case and a phone are the same category; a phone case and a screen protector are the pair that sells. The only reliable source for good pairs is your own order history — which products actually appear in the same basket, at what frequency, in what order.

Rules of thumb that hold up:

- Two or three suggestions, never a grid of eight. Choice paralysis is real and it costs conversions.
- The suggested item should be meaningfully cheaper than the anchor product. Roughly 15–40% of the anchor price is the comfortable zone.
- One-click add, no page reload, no navigating away from the product being considered.

## Lever 6: Cross-sells in the cart drawer

The cart is the most under-used surface in ecommerce. The shopper has committed. There is no risk of losing the sale by showing them something else, because the decision to buy has already been made.

A good cart drawer does four jobs at once: it shows the contents, it shows progress toward a goal, it offers one or two relevant additions, and it removes uncertainty about delivery. Most default theme carts do only the first.

## Lever 7: Product add-ons

Warranties, gift wrap, shipping protection, express handling, engraving, a spare part. Add-ons are unusually profitable because their cost of goods is often near zero and they do not cannibalise anything.

The rule is that an add-on must be genuinely optional and genuinely useful. Shipping protection that is pre-ticked is a dark pattern, will generate chargebacks, and in several jurisdictions is now illegal. Shipping protection offered honestly, unticked, with a clear explanation, converts at a rate that will surprise you.

## Lever 8: Intent-triggered popups

Popups have a bad reputation because most of them are timed. A popup on a five-second timer interrupts a shopper who is still deciding, which is precisely the wrong moment.

Intent triggers invert this:

- **Add to cart** — fires after commitment. The wallet is already open and the shopper is in a buying frame of mind. This is the single best upsell slot most stores own.
- **Checkout initiation** — one last relevant offer before they leave the storefront.
- **Exit intent** — the shopper is leaving anyway. There is no conversion left to lose.

None of these interrupt browsing, which is why they do not cost conversion rate the way timed popups do.

## Lever 9: Personalised recommendations

Rules-based recommendations ("customers who bought X also bought Y") are a good default. Learned recommendations that read your actual order history beat them once you have enough data, mainly because they keep working when your catalogue and season change and a static rule does not.

The honest caveat: below roughly 500 orders of history, a well-chosen manual pairing usually outperforms a model. Personalisation is a scale advantage, not a starting point.

## Lever 10: Post-purchase offers

The confirmation page is the highest-intent surface in ecommerce and most stores put a tracking link on it. The shopper has just paid, the friction of entering payment details is behind them, and their disposition toward your brand will never again be as positive as it is in that moment.

Anything you can offer that does not require re-entering payment details will convert at rates that look like errors compared to pre-purchase offers.

## Lever 11: Order editing as a revenue surface

The most overlooked lever on this list. Between "order placed" and "parcel shipped" there is a window where the customer's needs can still change — and today, most stores handle that window with an email to support.

Letting the customer edit the order themselves does three things at once. It removes a support ticket. It prevents a cancellation, because a shopper who cannot fix a mistake will often just cancel the whole thing. And it puts a warm, engaged buyer on a page you control, where a relevant recommendation converts extremely well.

## What to do first

Ordered by return on the time it takes:

1. **This week** — put a free shipping progress bar in the cart with a threshold set from your actual distribution.
2. **This month** — add quantity breaks to your top ten SKUs by unit volume, and frequently-bought-together pairs derived from real order data.
3. **This quarter** — replace the default cart drawer with one that does upsells and delivery estimates, and add an add-to-cart popup.
4. **Next quarter** — build the post-purchase surface: order editing, cancellation deflection and a confirmation-page offer.

AOV tactics interact. A progress bar and a quantity break launched in the same week cannot be attributed separately, and you will spend the next quarter arguing about which one worked. Two weeks per change at moderate volume is usually enough to see the signal.

## The honest failure modes

Things that raise AOV and should not be done:

- **Pre-ticked add-ons.** Illegal in the EU under the Consumer Rights Directive, and a reliable source of chargebacks everywhere else.
- **Fake countdown timers.** A timer that resets on refresh is a lie, it is enforceable as one, and shoppers notice more often than you think.
- **Thresholds you cannot honour.** A free shipping line that quietly excludes half your catalogue produces more support tickets than revenue.
- **Six upsells on one page.** Every additional offer dilutes the others and adds cognitive load. One good offer beats four mediocre ones every time.

## Where this leaves you

Average order value is not a growth hack; it is a structural property of how your store is built. Stores with high AOV are not lucky — they have deliberately designed four moments in the journey to make spending slightly more the natural thing to do.

Pick the moment that leaks the most, fix it properly, measure gross profit per session, and then move to the next one.

### FAQ

**What is a good average order value for a Shopify store?**

There is no universal benchmark because AOV is a function of your price point. The number that matters is your own trend line and your AOV relative to blended customer acquisition cost. A store with a $40 AOV and a $12 CAC is far healthier than one with a $180 AOV and a $150 CAC. Track the ratio, not the absolute.

**How quickly can I increase average order value?**

A free shipping progress bar or a quantity break can be live in under an hour and will usually show a measurable effect within two weeks at moderate order volume. Deeper work — bundle architecture, personalised recommendations, post-purchase flows — takes a quarter to tune properly but has a much higher ceiling.

**Does increasing AOV hurt conversion rate?**

It can, if you add friction. Upsells that interrupt browsing, popups on a timer and aggressive cross-sell grids on the product page all cost conversions. Offers placed after commitment — in the cart, at add-to-cart, or post-purchase — almost never do. Always watch both numbers together.

**What is the difference between AOV and average basket size?**

Average order value is revenue divided by orders. Average basket size usually means units per order. They move together but not always: a quantity break raises both, while an accessory upsell raises AOV more than units, and a bundle discount can raise units while flattening AOV.

**Should I raise prices instead?**

Do both, but they are different instruments. A price rise applies to everyone and risks conversion across the board. AOV work is opt-in — only the shoppers who want more spend more — so it carries far less downside risk while producing a similar revenue effect.

## Product Page Leaks the CRO Audit for Shopify stores Finds First

URL: https://ninety9.dev/blog/product-page-leaks-cro-audit-finds.html
Published: 2026-08-14 (updated 2026-09-21)
Category: CRO & Analytics
Reading time: 7 minutes

Five Shopify product page leaks a CRO audit flags most: lost add-to-cart, no PDP offer, no cart goal, nothing after add, fake urgency.

The product page leaks the CRO Audit for Shopify stores finds first are the same five on most stores that look “done”: an add-to-cart button that disappears on scroll, no offer on the product page, a cart with no goal, nothing happening after add-to-cart, and urgency theatre instead of proof. Fix them in that order — buy path first, then basket growth, then hygiene. The audit is tuned to name them in an order you can staff.

## What is a product page leak?

A leak is any point where a shopper who wanted to buy either cannot, or buys less than they would have. The first kind is a **constraint**: the page is unable to take money, or makes it hard enough that a phone user gives up. The second kind is **missed AOV**: the page sells, but never asks for a second SKU, a larger quantity or a threshold. Both are visible on the public page without analytics, which is why a free audit at [/cro-audit/](/cro-audit/) can find them from the outside.

## Leak 1: Add-to-cart that does not survive scroll

Long PDPs bury the button under reviews, a size guide, and a UGC grid. On mobile that is a conversion tax. A sticky bar or a cart drawer that opens on add both count as “the buy control is still there.”

Fix: theme sticky, or a drawer you actually ship. Do not add a popup here.

## Leak 2: No offer on the product page

Shoppers who would have taken a second SKU never see one until checkout — if then. Frequently bought together, a small bundle, an add-on: something with a price and a button, not a related-products carousel of randoms.

A theme block can pass this. If the HTML is silent, Addly owns the miss. If you want to build the offer in the theme first, [the frequently-bought-together guide](/blog/frequently-bought-together-shopify.html) covers placement and copy.

Quantity breaks are a **separate** leak. Selling “complete the look” does not tell a bulk buyer the unit price drops at three.

## Leak 3: Cart with no goal

A $47 cart and a $50 free-shipping line with no progress UI is money left in the session. Goalify owns the miss when there is no threshold, gift, or bar the crawl can see.

Delivery dates and protection sit in the same “basket confidence” family. They are not interchangeable with a threshold, but they fail the same shopper: “I do not know what this cart costs me in time or risk.”

## Leak 4: Nothing after add-to-cart

Redirect-to-cart themes still convert. They also skip the moment when an extra SKU is cheapest to attach. A drawer (Addy) and an intent popup (Monet) are different jobs. Passing one does not pass the other.

If you only view source, you will think they are missing when they hydrate after click. The server audit clicks add and waits. That is why local static scoring can disagree with a full run. If you are choosing between a drawer and a cart page, [the cart drawer guide](/blog/shopify-cart-drawer-complete-guide.html) walks through the trade-offs.

## Leak 5: Theatre instead of proof

Fake compare-at (same number in both fields). Countdown timers that reset. “12 people viewing” with no source. The rubric treats these as theme honesty, not as urgency apps. Turning on a scarcity widget to paper over a fake sale makes the score worse, correctly.

## In what order should I fix product page leaks?

Buy path, then AOV, then hygiene, then stop. Seven rows. If leak 1 is red, later leaks are optional reading. The status next to the score is the score band. The line beside it names which rubric missed — **Fail in Rubric A** is still a buy-path week even if four AOV rows also failed.

| Leak | Rubric | Usual owner | When to fix |
|---|---|---|---|
| Add-to-cart lost on scroll | A — can they buy? | Theme | Before anything else |
| No PDP offer / no quantity break | B — does the basket grow? | Theme block or Addly | Once the buy path is green |
| Cart with no goal | B | Theme or Goalify | After the PDP offer, or first if AOV sits just under a threshold |
| Nothing after add | B | Theme drawer, Addy, Monet | After the offer and goal exist |
| Fake urgency, fake compare-at | A / C honesty | Theme | Remove now; it costs nothing |

## How do I find these leaks on my own store?

1. Paste the exact `/products/` URL your ads or emails land on. A domain paste gives you a bestseller instead.
2. Read the rubric line beside the score. Rubric A means a constraint; Rubric B means missed AOV; Rubric C means the page is fighting itself.
3. Note which rows are theme rows and which name an app owner.
4. Fix the top theme row under Online Store → Themes → Customize, or install the single app that owns the top app row.
5. Hit Audit again on the same URL and confirm the row is green before moving to the next.

### A worked example

Say your average order is $38 and free shipping starts at $50. The audit shows the buy path green, no PDP offer, and no cart goal. Both are Rubric B misses, so the page can sell — the question is which to fix first. The cart goal is the obvious candidate: the average basket is already within $12 of the threshold, and a progress line in the cart tells that shopper exactly what to add. The PDP offer is the second job. Ship one, re-run, then ship the other.

## Which leaks are commonly mistaken for each other?

- **Offer vs quantity break.** A bundle sells a second product; a quantity break sells more of the same one. A theme FBT block passes the first and says nothing about the second.
- **Drawer vs popup.** A drawer keeps the shopper on the page after add; an intent popup makes one offer at a moment of intent. Passing one does not pass the other.
- **Related products vs an offer.** A carousel of randoms with no price or button is content, not an offer.
- **Compare-at vs a real sale.** If both price fields hold the same number, the strikethrough is theatre and the rubric scores it as such.

## When should I not fix a leak yet?

If Rubric A is red, do not touch the AOV rows. Every widget you add to a page that cannot add to cart is another thing fighting the buy box. If the theme already opens a drawer after add, do not install a second one — duplicates are a hygiene miss, not a double pass. And if the audit says the theme could not be read (**Partial**), fix the URL before you fix anything on the page.

Paste `yourstore.com` for a bestseller. Paste the problem child when you already know which PDP the ads hit.

The leaks are boring. Boring is what you can ship this week.

### FAQ

**What is this score based on?**

Ninety9’s product-page rubric — defaults we apply the same way on every public Shopify PDP. It is not a conversion-rate prediction, and it will not fit every store or situation. [How we score](/blog/how-we-score-the-shopify-cro-audit.html).

**What is a product page leak?**

A point on the product page or in the cart where a shopper who intended to buy either cannot, or buys less than they would have. Constraints stop the sale; missed AOV leaves the basket smaller than it could be. Both are visible on the public page without analytics.

**What is the most common constraint on Shopify product pages?**

A buy button that is fine at the top of the PDP and gone after the fold on mobile, with no sticky bar and no drawer. Shoppers who read the description cannot purchase without scrolling back up.

**We have a bundle app. Why did the offer still fail?**

The widget is not on that template, the app embed is off, or the copy is not in the HTML the crawl sees. Audit the live URL, not the app admin toggle, and check the block is enabled under Online Store → Themes → Customize.

**Is a missing cart drawer always an Addy miss?**

The owner of “drawer after add” is Addy in this rubric. A theme drawer can pass if it is in the DOM after add. Duplicate drawers are a stack problem, not a pass.

**Should I add a popup if the page cannot add to cart?**

No. Popups on a broken add-to-cart multiply frustration, not AOV. Fix the buy path first, re-run, then decide whether an intent popup earns its place.

**How do I see leaks on a specific product?**

Paste that /products/ URL. A domain paste will pick a bestseller instead, and you will be reading a different page from the one your ads land on.

## CRO Audit vs SEO Audit on Shopify — Use Both, Don't Mix the Score

URL: https://ninety9.dev/blog/cro-audit-vs-seo-audit-shopify.html
Published: 2026-08-13 (updated 2026-09-21)
Category: CRO & Analytics
Reading time: 5 minutes

Run a Shopify CRO audit and an SEO audit as separate scores. Mixing title tags with add-to-cart into one grade hides the next action you should staff.

Use a CRO audit and an SEO audit on Shopify as two separate scores. SEO asks whether a crawler can find and understand the URL. CRO asks whether a person can buy, and whether the page asks for a larger basket. Combining them into one grade hides the next action.

Agencies love a single “site health” number. Shopify stores suffer for it. Title tags and add-to-cart buttons are not the same job, and averaging them trains the merchant to install an SEO app when the button is gone on scroll.

## Two different questions

**SEO audit:** Can a crawler fetch the URL, understand the entity, and is the template eligible to rank? Titles, canonicals, schema, internal links, indexation, sometimes Core Web Vitals as a ranking input.

**CRO audit:** Can a shopper add this product, does the page or cart ask for a larger order, and is the buy box fighting itself? Buy path, then AOV, then hygiene, then a note after checkout.

The [CRO Audit for Shopify stores](/blog/what-is-the-shopify-cro-audit.html) is the second question only. It will not congratulate you for a perfect meta description on a PDP with no price. It does not check meta titles. On purpose.

A [ChatGPT SEO check](/blog/what-is-chatgpt-seo-check-shopify.html) is closer to the first family: can AI systems read and cite the store. That is still not a buy-button audit. Keep the artefacts apart.

## What each audit is for

Run SEO when you care about organic discovery: collection templates, canonicals, product schema, internal links, robots. Staff writers, a developer on theme JSON-LD, Search Console.

Run CRO when paid or email traffic already lands on a product page: can they add to cart, does the page ask for more, is the stack fighting itself. Staff a theme ticket or one AOV app, not a content retainer.

Most stores with a media budget are in the second bucket and still commission an SEO PDF. If nobody can find the page, SEO first. If the ad already lands on a PDP that cannot add to cart, CRO first.

## Why mixed scores lie

Suppose 20 SEO checks pass and 2 CRO constraints fail. A blended 90 looks “fine.” Paid traffic still dies.

Suppose SEO is a mess and the PDP is a buying machine. A blended 55 triggers a content retainer while AOV work waits a quarter.

Staff the red items in the system they belong to. Do not staff the average. Mixing title tags with add-to-cart into one score produces a 73 that nobody can own.

## How to run them without stepping on each other

1. SEO: templates and collections, Search Console, one sample PDP for schema.
2. CRO: paste `yourstore.com` or the product in the ad. Get the punch list. Fix theme constraints. Install one AOV owner if the miss is an app row. Homepages resolve to a bestseller so you are not hunting URLs.
3. Performance: if LCP collapsed after the stack, that is now a CRO/engineering ticket, not an H1 ticket.

Password-protected stores work too if the merchant shares the store password. Custom stores we cannot open like a normal Shopify shop still fail unless you expose a URL a shopper can load. That is a platform choice, not an audit bug.

If you paste a collection, the CRO audit will pick a product from that collection (bestseller when it can) and score the PDP. Collection SEO is a different artefact. Do not treat that PDP score as a collection ranking review.

## What Core Web Vitals belong to

Core Web Vitals matter to both, but they are not the same ticket. A missing H1 is SEO. A slow LCP from three popups is a CRO stack problem.

App embeds that block LCP can hurt SEO. Theme app extensions that load async usually do not. That is a performance review, not a reason to skip the drawer.

Do not “fix CWV” by deleting the cart drawer if the real issue is a script in `theme.liquid` on every page. And do not “fix SEO” by rewriting titles while add-to-cart dies on scroll.

## What to tell a client

“We will not put keywords and cart drawers on the same slide.” Show the SEO deck and the CRO punch list separately. The CRO badge is optional theatre for the number; the PDF is the work.

[How we score](/blog/how-we-score-the-shopify-cro-audit.html) is the basis for the CRO number: Ninety9’s product-page rubric, not a conversion-rate prediction, and it will not fit every store or situation.

If they only have budget for one afternoon, and they already buy traffic, run the [CRO Audit for Shopify stores](/cro-audit/) first. Discovery without a buy button is a hobby.

Accessibility is neither exclusively CRO nor SEO. The audit does not dump WCAG. Broken add-to-cart for keyboard users is still a constraint — if the control is missing in the DOM, it fails for everyone.

### FAQ

**What is this score based on?**

Ninety9’s product-page rubric — defaults we apply the same way on every public Shopify PDP. It is not a conversion-rate prediction, and it will not fit every store or situation. [How we score](/blog/how-we-score-the-shopify-cro-audit.html).

**Should I fix SEO or CRO first?**

If nobody can find the page, SEO. If paid traffic already lands on a PDP that cannot add to cart, CRO. Most stores with a media budget are in the second bucket and still commission an SEO PDF.

**Does the CRO Audit for Shopify stores check meta titles?**

No. On purpose.

**Will a CRO fix hurt SEO?**

App embeds that block LCP can. Theme app extensions that load async usually do not. That is a performance review, not a reason to skip the drawer.

**Can I use the CRO audit for collections?**

It will pick a product from that collection (bestseller when it can) and score the PDP. Collection SEO is a different artefact.

**Is accessibility CRO or SEO?**

Neither exclusively. The audit does not dump WCAG. Broken add-to-cart for keyboard users is still a constraint — if the control is missing in the DOM, it fails for everyone.

## The CRO Audit for Shopify stores: Badge, QR Code, and How Sharing Works

URL: https://ninety9.dev/blog/shopify-cro-audit-badge-and-qr.html
Published: 2026-08-12 (updated 2026-09-21)
Category: CRO & Analytics
Reading time: 6 minutes

How the CRO Audit for Shopify stores badge works: a PNG with your score and a QR code that opens the saved report without recrawling.

After a run, the CRO Audit for Shopify stores lets you export a compact PNG badge showing the health score, a verified mark and a QR code. The QR opens the saved report snapshot on ninety9.dev through a `?r=` link; it does not recrawl the store. Snapshots stay until the merchant deletes them, and the PDF carries the full punch list behind the number.

A health score nobody can verify is a tweet. The audit pairs the number with a snapshot you can open later.

## What is the audit badge?

After a run, **Get badge & flex it** exports a compact dark chip at 3× so it is sharp on a slide. It shows the health score, a verified mark, and a QR. The on-page report also shows the status (Solid, Strong, Uneven, Patchy, Thin, and the rest of the score band) with a line such as **Fail in Rubric A** beside it — that line is the diagnosis, not the title.

Use it on LinkedIn, Slack, a course submission, a sales deck cover. Caption it with the product URL and the date. Do not crop off the QR if you are claiming the number is real.

## How do the QR code and the `?r=` link work?

The QR encodes the saved report on ninety9.dev. Query param `r` is the id. Opening that URL paints the punch list from disk. It does not fetch the merchant’s store again.

That matters for:

- Teachers who want the work behind the number without a surprise recrawl changing the score.
- Agencies who send a link in an email at 6pm and a client who opens it at 9am.
- You, comparing a screenshot from last month — until the merchant deletes the snapshot.

## Badge, PDF or share link: which should I send?

| Artefact | What it shows | Best for | Not for |
|---|---|---|---|
| Badge (PNG) | Score, verified mark, QR | Slide covers, LinkedIn, Slack | Explaining what to fix |
| PDF | Ranked fails, owners, screenshots | The person who will fix a row | A one-glance summary |
| `?r=` link | The live on-page report from the snapshot | Email, tickets, follow-up calls | Proving a fix — that needs a re-run |

Send the badge when someone needs the number. Send the PDF when someone needs the work. Send the link when they need both and might want to come back to it.

## What is in the PDF?

The PDF matches the on-page report: ranked fails, owners, screenshots when they exist. Use it when someone will actually fix a row. The badge will not.

## How do I share a score properly?

1. Run the audit on the exact `/products/` URL you are talking about, not the homepage. A homepage paste scores a bestseller, which is fine for a first look and wrong for a claim about a specific page.
2. Export the badge and the PDF while the report is open.
3. Copy the `?r=` link from the address bar.
4. Caption the badge with the product URL, the date and the status word. “86, Solid, `/products/the-handle`, 21 Sep” is enough.
5. Put the `?r=` link where the reader can click it — the post, the email, the ticket.

If you are presenting the score to a client, [the agencies guide](/blog/shopify-cro-audit-for-agencies.html) covers how to scope from it without overclaiming.

## What is stored, and for how long?

JSON: title, handle, URL, scores, findings, optional screenshots, share id. IP is used for rate limits, not printed on the badge. See the privacy policy for the full list of what the audit sees (public HTML, catalogue JS, cart, rendered add-to-cart) and what it does not (checkout, customers, passwords).

Merchants can block future audits with `<meta name="ninety9-audit" content="no">` in `theme.liquid`. That does not delete a snapshot already saved. To erase stored reports, use `content="no,delete"`, then paste the shop URL on the CRO audit page and press Get my free audit. After that the QR and `?r=` link stop resolving.

## Common mistakes when sharing a score

- Cropping the QR. Without it, the badge is a typed number.
- Editing the PNG. The QR opens the real report, so an edited score contradicts itself.
- Calling a homepage-resolved bestseller “the whole store”. If the SKU matters, paste `/products/...` yourself.
- Pasting a competitor into a public LinkedIn post unless you are ready to discuss their PDP in public.
- Presenting the badge as a diagnosis. The status line and the ranked fails are the diagnosis; [how to read the health score](/blog/how-to-read-shopify-cro-health-score.html) explains why the number alone is not enough.

## When should I re-run instead of resharing?

- After any theme change or app install on that product page. The snapshot is frozen; the page is not.
- When you are claiming a fix. Proof of a fix is a second report on the same URL, not the old link.
- When the merchant has deleted the snapshot. A dead QR on a slide is worse than no QR.
- When the original run was a homepage paste and the conversation has moved to a specific product.

### A worked example

An agency runs the client’s domain on a Tuesday call, exports the badge, and emails the `?r=` link at 6pm. The client opens it at 9am the next day and sees the identical report — no recrawl, no shifted score. Week one, the agency fixes the sticky add-to-cart in the theme, hits Audit again on the same product URL, and exports a second badge. The two badges side by side, each with its own QR, are the before/after. Neither has been touched in an image editor.

The badge is theatre with a receipt. The receipt is the report id. Run the audit, export both, then go fix the top constraint.

### FAQ

**What is this score based on?**

Ninety9’s product-page rubric — defaults we apply the same way on every public Shopify PDP. It is not a conversion-rate prediction, and it will not fit every store or situation. [How we score](/blog/how-we-score-the-shopify-cro-audit.html).

**Does scanning the QR recrawl the store?**

No. It opens the saved JSON snapshot. Use Audit again on the audit page when you want a live pass.

**Who can open my CRO audit report?**

Anyone with the link. Treat it like a public URL. Do not put secrets in the theme you would not show a stranger — the audit only sees the public page anyway.

**Can I edit the score on the badge?**

No. The PNG is generated from the report. Changing the file in Photoshop to invent a 100 is lying to your class or client, and the QR will open a snapshot that contradicts you.

**How long does a CRO audit share link last?**

Until the merchant deletes them. Add content="no,delete" in theme.liquid, then paste the shop URL on the CRO audit page and press Get my free audit. After that the ?r= link and QR stop resolving. Re-run the same product URL if you need a fresh artefact.

**Why is the QR so dense?**

Error correction is high so a slide photo still scans. There is a quiet zone and a small centre mark. It is meant to survive LinkedIn compression.

**Will a teacher accept the badge as evidence?**

Give them the badge and the PDF. The PDF is the ranked fails. The badge is the cover. Caption the exact product URL so the work can be checked.

## How to Run the CRO Audit for Shopify stores (Domain, Homepage, or Product URL)

URL: https://ninety9.dev/blog/how-to-run-the-shopify-cro-audit.html
Published: 2026-08-11 (updated 2026-09-21)
Category: CRO & Analytics
Reading time: 6 minutes

How to run the free CRO Audit for Shopify stores: paste a domain or product URL, then read ranked findings and recrawl after the first fix.

To run the CRO Audit for Shopify stores, open the audit page, paste your store domain or a product URL into the text box and submit. `https://` is optional; a homepage or collection resolves to a best-selling product, while a `/products/` URL is scored exactly as given. There is no login, no payment, and the report is ready in about 30 seconds.

The audit is only useful if pasting a URL is cheaper than opening the App Store. Here is every path.

## What does the audit need from you?

One URL a shopper could load. That is the whole input. The audit reads the public product page, Shopify’s public product payload and the public cart — the same things a visitor sees. It does not ask for admin access, an API key or a theme download. If the store is password-protected, it asks for the storefront password (the one under Online Store → Preferences), uses it once and does not keep it.

## Step 1: Open the tool

Go to the [CRO Audit for Shopify stores](/cro-audit/) page. Paste a store or product URL. It is a text box, not a browser URL field, so `yourstore.com` is valid.

## Step 2: Decide what you are scoring

**I want a first look at the shop.** Paste the domain or homepage. Optional `www`. Optional `https://`.

**I am already on a collection.** Paste it. We still score a product, preferably best-selling in that collection.

**I care about this SKU.** Paste the `/products/handle` URL, including collection-prefixed product paths Shopify uses. That page wins. We will not swap in a bestseller.

| You have | Paste | What gets scored |
|---|---|---|
| Only the domain | `yourstore.com` | A best-selling product, or the first product found |
| A collection link | `/collections/candles` | A bestseller from that collection |
| The page in your ad | `/products/the-handle` | That exact product page |
| A password-protected store | Any of the above, plus the store password when asked | Same rules as above |

## Step 3: What happens after submit

If the URL is already a product, the crawl starts.

If not, the server (or your browser, as a fallback) fetches the page, respects the opt-out meta tag (`content="no"` blocks; `content="no,delete"` also erases stored reports), then looks at `/collections/all?sort_by=best-selling` (or the collection you were on), then product links on the HTML you pasted, then the homepage, then `products.json`.

The report will say when we picked a product for you, so you are not confused why `/` became `/products/best-seller`.

## Step 4: Read the output

Health score, a status for the score band (Solid, Strong, Uneven, Patchy, Thin, and the rest), and a line beside it naming which rubric missed — **Fail in Rubric A** or **Fails in Rubric A** when there is more than one buy-path miss. Ranked fails, screenshots if Chromium ran. Buy path above AOV above hygiene. Theme rows vs app owners.

Read in this order:

1. The rubric line. A Rubric A miss is a theme job before anything else.
2. The top-ranked fail. That is the next hour.
3. Whether that fail is a theme row or an app row. Theme rows are fixed under Online Store → Themes → Customize; app rows name an owner with an install link.
4. Everything else — for later, not for today.

Fix the top constraint. Install at most one app-owned leak. Recrawl that **product** URL. The bands and what each one means are explained in [how to read the health score](/blog/how-to-read-shopify-cro-health-score.html).

## Step 5: Share or stop

Badge and PDF if you need an artefact. `?r=` for a snapshot that stays until the merchant deletes it. Privacy policy lists what we looked at: the product page a shopper can see, the cart, optional screenshots. If you opened a password-protected shop, that store password is not kept. Not checkout. Not admin.

### A worked example

Say your Meta ads land on `/products/starter-kit`. Paste that URL, not the homepage, because the homepage would hand you the bestseller instead. The report comes back **Thin** with **Fail in Rubric A**: one variant option dead-ends with no selectable size and no sold-out message. That is a theme fix in the product template. Publish it, hit Audit again on the same URL, and the buy-path row should be green. Only then look at the Rubric B rows underneath.

## Which failures are not bugs?

- If we ask for a store password, paste it from Online Store → Preferences and try again. That is not a fail — it is how password-protected stores work.
- Custom store we cannot open like a normal Shopify shop.
- Opt-out tag.
- No products in the catalogue (new store).
- Rate limit because someone scripted the endpoint.

If you cannot find a product, paste a `/products/` URL by hand. That is the escape hatch the domain shortcut is built on.

## Common mistakes when running the audit

- Pasting the admin URL. The audit reads what a shopper sees, so use the storefront address.
- Running the domain twice and expecting the same SKU. Two domain pastes can resolve to the same bestseller, but if you are testing a change, paste the product URL.
- Re-running within the cache window and reading an old snapshot. Use Audit again after every theme change.
- Reading the badge instead of the punch list. The badge is the number; the on-page report and PDF are the work.
- Installing every named app in one sitting. The list is ranked so you install one and re-run.

Run it once before the next app install. That is the whole how-to.

### FAQ

**What is this score based on?**

Ninety9’s product-page rubric — defaults we apply the same way on every public Shopify PDP. It is not a conversion-rate prediction, and it will not fit every store or situation. [How we score](/blog/how-we-score-the-shopify-cro-audit.html).

**I pasted the homepage and got a product I do not care about. Why?**

That is the bestseller, or the first product we could find. The report says when we picked for you. Paste the /products/ URL for the SKU you want and that page is scored as given.

**Do I need to be logged in to Shopify?**

No Shopify admin login. Password-protected stores work too — we will ask for the store password from Online Store → Preferences, not your Shopify login, then forget it.

**How do I opt my store out of the CRO audit?**

Put <meta name="ninety9-audit" content="no"> in the head of layout/theme.liquid, then paste the shop URL on the CRO audit page. The next run stops before reading the product page. Use content="no,delete" if you also want stored reports erased.

**Will the same URL twice give the same result?**

Reports for a product URL are cached about 10 minutes, so a quick repeat may return the snapshot. Use Audit again after a theme change to force a live crawl.

**Can I run it on a collection?**

Yes, as a starting point. The audit uses the collection to find a product, preferably a bestseller in it, and scores that product page. The grid itself is not scored.

**How long does the CRO audit take?**

About 30 seconds. There is no signup step, so the time from paste to punch list is the crawl itself. Heavy use is rate-limited so one store cannot block the queue for everyone else.

## How to Set a Free Shipping Threshold That Increases Profit, Not Just AOV

URL: https://ninety9.dev/blog/free-shipping-threshold-calculator.html
Published: 2026-08-11 (updated 2026-09-21)
Category: Shipping & Fulfilment · App: Goalify: Free Shipping Bar PRO
Reading time: 7 minutes

The percentile method for choosing a threshold, the margin check that stops it losing money, and why per-country thresholds beat one global number.

The free shipping threshold is the most common average-order-value tactic in ecommerce and one of the most commonly mis-set. Most stores pick a round number that feels close to their average order value, publish it, and never revisit it.

That approach has a specific failure mode: a threshold set at or below your average order value is cleared by roughly half your orders without anyone changing behaviour. You have not created incremental revenue. You have given away shipping on half your orders.

Here is the method that avoids that.

## Free shipping is a goal, not a discount

The mechanism is worth understanding because it explains why the number matters so much.

A shipping fee is a cost the shopper weighs against convenience. A free shipping threshold is a *target* they can hit. Those are different psychological objects. The first invites a comparison; the second invites an action.

The effect is well documented and reliably reproducible: shoppers who are shown a specific remaining amount to reach free shipping add items at a materially higher rate than shoppers shown the same policy stated as a rule. It works even when the fee being avoided is small, because the shopper is no longer evaluating $6.90 against convenience — they are completing a task.

That reframing only happens if the target is *reachable but not already met*. Which is entirely a function of where you set it.

## Step 1: Get the distribution, not the average

Export the last 90 days of orders and their values. Sort them. Then find the percentiles.

A typical store might look like this:

| Percentile | Order value |
|---|---|
| 25th | $28 |
| 50th (median) | $46 |
| 60th | $54 |
| 70th | $63 |
| 75th | $71 |
| 90th | $104 |
| Average | $58 |

Notice that the average ($58) sits between the 60th and 70th percentile — which is normal, because order value distributions have a long right tail that drags the mean above the median.

Setting the threshold at $58 means roughly 38% of orders already clear it. Those customers get free shipping for doing what they were already doing.

## Step 2: Pick from the 60th–75th band

Your candidate threshold sits between the 60th and 75th percentile. In the table above, that is $54 to $71.

The reasoning:

- **Below the 60th** — too many orders already clear it. High subsidy, low behaviour change.
- **Above the 75th** — the gap between a typical basket and the threshold is large enough that shoppers disengage from the goal entirely. An unreachable target is not a target.
- **Inside the band** — a meaningful group of shoppers sits close but not there. Those are the orders you can move.

Within the band, lean lower if your margin is thin or your category is price-sensitive, and higher if your margin is healthy and your products have natural complements.

## Step 3: Run the margin check

This is the step that gets skipped, and it is the one that determines whether the threshold makes money.

> Gross profit on the incremental spend must exceed your average shipping cost.

Say you choose $65 with a median order value of $46. The average shopper you move up spends an extra $19. At a 55% gross margin, that is $10.45 of additional gross profit. If your average shipping cost is $7.20, you net $3.25 per moved order.

If your average shipping cost were $12, the same threshold loses $1.55 on every order it moves. You would need a threshold of at least $46 + ($12 ÷ 0.55) ≈ $68 just to break even, and higher to make anything.

`threshold ≥ median order value + (average shipping cost ÷ gross margin)`

Run this before anything else. If the result lands above your 75th percentile, free shipping thresholds are not the right tactic for your category — a flat reduced shipping rate usually works better.

## Step 4: Round it

$68.42 is not a goal, it is an output. $70 is a goal.

Round numbers work better because they are easier to hold in mind and easier to calculate against. "I need $14 more" is a manageable thought. "I need $12.42 more" is arithmetic.

Round up rather than down when you have the margin room. The gap in behaviour between $65 and $70 is small; the gap in your economics is not.

## Step 5: Split it by market

One global threshold is wrong in most markets, because both sides of the margin equation change at the border.

Your shipping cost to a neighbouring country is not your domestic cost. Your order value distribution in a market where you are unknown is not the distribution in your home market. A threshold derived from domestic data and converted at the spot rate encodes neither.

Do the whole exercise per market for your top three or four, and use a sensible default elsewhere. And set each one as a round number in the local currency rather than converting — €70, not €68.42.

## Step 6: Make it visible

A threshold nobody can see their progress against is just a policy on a page.

The progress bar is what turns it into a goal, and the specific thing that makes it work is showing the *remaining amount* rather than the target:

- **"Free shipping over $70"** — a rule. It is about you.
- **"You're $14 away from free shipping"** — a task. It is about them.

The second consistently outperforms the first. Show it in the cart drawer first, the cart page second, and consider the product page third.

## Common mistakes

**Setting it at the average.** Covered above, and it is the most common error by a distance.

**Never revisiting it.** Carrier rates change. Your catalogue prices change. Your order mix changes with every campaign. A threshold set eighteen months ago is a threshold set for a different business.

**One threshold across wildly different products.** If you sell both $15 accessories and $400 machines, a single threshold is meaningless for one of them. Consider a collection-scoped threshold.

**Excluding half the catalogue without saying so.** A threshold that quietly does not apply to bulky items generates more support tickets than revenue. If there are exclusions, state them in the same sentence as the offer.

**Not stacking a second goal.** A shopper who lands at $71 on a $70 threshold has no further reason to add anything. A second tier — an order discount or a free gift at a higher value — keeps the mechanic working across the upper half of your distribution.

Does your threshold measure against the pre-discount or post-discount subtotal? Post-discount is the safer default. Pre-discount means a customer with a 30% code can trigger free shipping on a basket whose real value is well below your floor.

## Measuring whether it worked

Do not use average order value on its own — a threshold mechanically raises AOV whether or not it made money.

Track:

- **Share of orders above the threshold**, before and after. This is the behaviour change.
- **Median order value**, which is less distorted by outliers than the mean.
- **Shipping cost as a percentage of revenue.** The direct cost of the policy.
- **Gross profit per order.** The verdict.
- **Cart-to-checkout rate.** The guardrail. A threshold that is too high can suppress conversion among shoppers who conclude they will never reach it.

Give it four weeks minimum. Compare against the same period rather than the previous month if your category has any seasonality at all.

### FAQ

**What should my free shipping threshold be?**

Somewhere between the 60th and 75th percentile of your order value distribution over the last ninety days, subject to a margin check. There is no universal number because it depends entirely on the shape of your distribution and your fulfilment cost, both of which are specific to your store.

**Is free shipping actually worth offering?**

For most consumer categories, yes, because shipping cost is the most commonly cited reason for cart abandonment and a threshold converts that objection into a goal. It stops being worth it when your shipping cost is high relative to your order value and margin, which is common for heavy or bulky goods.

**Should the threshold be a round number?**

Yes. Round numbers work better as goals because they are easier to hold in mind and easier to calculate against. A threshold produced by currency conversion, such as sixty-eight euros, reads as arbitrary. Round it.

**How often should I review the threshold?**

Quarterly at minimum, and immediately after any carrier rate change or significant catalogue price change. Both sides of the calculation drift, and a threshold set eighteen months ago is almost certainly no longer optimal.

**Does a free shipping threshold work without a progress bar?**

Much less well. A threshold nobody can see their progress against is just a policy. The bar is what converts it into an active goal, because it shows the shopper a personal, incomplete task with a specific remaining amount.

## CRO Audit for Shopify stores — for Agencies (and Anyone Presenting a Score)

URL: https://ninety9.dev/blog/shopify-cro-audit-for-agencies.html
Published: 2026-08-10 (updated 2026-09-21)
Category: CRO & Analytics
Reading time: 5 minutes

Use the CRO Audit for Shopify stores as a 90-second discovery artefact. Paste the client domain, score a bestseller, share the snapshot. Do not overclaim.

Agencies should use the CRO Audit for Shopify stores as a 90-second discovery artefact, not as a 40-hour CRO programme in a PDF. Paste the client’s domain, get a punch list on a bestseller, share the snapshot. Discovery calls die in the “send us a product URL” moment. This tool is built so you paste `client.com` and talk about a bestseller 30 seconds later.

Homepages resolve to a bestseller so you are not hunting URLs on a screenshare. If they care about a launch SKU, they will drop the `/products/` link themselves.

## What the artefact is for

It is a public-storefront check of a live product page: constraints that can stop the sale, then missed AOV. It is enough to stop installing the wrong first app and to staff week one. It is not enough for a retainer on its own. Heatmaps, ads and offer strategy remain your job.

[How we score](/blog/how-we-score-the-shopify-cro-audit.html) is the basis: Ninety9’s product-page rubric, applied the same way on every public Shopify PDP. It is not a conversion-rate prediction, and it will not fit every store or situation. Say that on the slide.

## Agencies: before, on, and after the call

**Before the proposal.** Run the domain. Screenshot the health, the score-band status, and the top three fails. Buy path vs AOV vs hygiene. Theme vs app. Your scope writes itself: “week one is sticky ATC; week two is the drawer.”

**On the call.** Paste while they watch. If they care about a launch SKU, they will drop the `/products/` link themselves. You did not need a prep doc.

**After.** Email `?r=` so the snapshot does not move overnight. Recrawl when you claim a fix, with Audit again, on that product URL.

Do not sell the punch list as a full CRO audit of checkout, email, and ads. You will get fired in month two when AOV is flat because the offer was wrong.

The on-page report and PDF are Ninety9-branded. You can put findings in your own deck. Do not strip the snapshot link if you are citing the score.

## Freelancers

Same tool, less theatre. One leak, one install or one theme ticket, invoice. The report names owners; you can still implement a theme-only fix and ignore the App Store links.

If you stack three apps on day one, you used the audit as a shopping list. That is the failure mode the rubric tries to prevent by capping findings.

[How to run the audit](/blog/how-to-run-the-shopify-cro-audit.html) is the mechanics. Your value is still the week after the punch list.

## Students

Health score on a slide without a source is a fail in any course that cares. Export the [badge](/blog/shopify-cro-audit-badge-and-qr.html) (QR opens the snapshot) and the PDF (the work). Caption the exact product URL. If you pasted the homepage, say you scored a bestseller, not “the whole store.” Do not invent a 100.

Opt-out tags: if the merchant blocked audits, you cannot complete the assignment on that shop. Pick a public store you are allowed to inspect, or your own development storefront if it is reachable.

A class of 40 should not hammer the endpoint. It is rate-limited. Spread the runs. Cache hits on the same product URL last about 10 minutes.

## Rules that keep you honest

- Public pages only. No logging into their admin “to help the crawl.”
- Do not automate the endpoint against a list of 500 stores.
- Privacy: the audit stores the report until the merchant deletes it, IP for rate limits, screenshots of the public PDP. They can erase reports with `content="no,delete"` on the CRO audit page. Details are in the privacy policy. Tell the client that before you paste their URL in a webinar.
- Competitors: only if you would be comfortable the merchant seeing you did. The tool reads public pages. Professional courtesy still applies.
- Hydrogen: the fetch may fail. Say so. Do not fake a score from a theme you cannot read.

Worked example: you paste `client.com` on the call, the audit resolves a bestseller, Rubric A fails on sticky add-to-cart, Rubric B misses a cart goal. Week-one scope is the theme sticky bar. You send `?r=` with the PDF. You do not promise checkout, Klaviyo, or a 15-point lift.

## What not to overclaim

Do not call it a conversion-rate forecast. Do not call it a full-funnel audit. Do not white-label the snapshot as your own crawler if you are citing this score. Do not recrawl overnight and present a new number as the one you showed in the meeting — that is what `?r=` is for.

The artefact is short on purpose. Paste the domain in the [CRO Audit for Shopify stores](/cro-audit/), share the snapshot, staff week one. Your value is still the week after the punch list. Recrawl only when you are proving a fix — not the night before a second meeting so the number looks different.

### FAQ

**What is this score based on?**

Ninety9’s product-page rubric — defaults we apply the same way on every public Shopify PDP. It is not a conversion-rate prediction, and it will not fit every store or situation. [How we score](/blog/how-we-score-the-shopify-cro-audit.html).

**Can I white-label the report?**

The on-page report and PDF are Ninety9-branded. You can put findings in your own deck. Do not strip the snapshot link if you are citing the score.

**Should I audit competitors in a pitch?**

Only if you would be comfortable the merchant seeing you did. The tool reads public pages. Professional courtesy still applies.

**What if the client is Hydrogen?**

The fetch may fail. Say so. Do not fake a score from a theme you cannot read.

**Is this enough for a retainer?**

No. It is enough to stop installing the wrong first app and to staff week one. Heatmaps, ads and offer strategy remain your job.

**Can a class of 40 students hammer the endpoint?**

It is rate-limited. Spread the runs. Cache hits on the same product URL last about 10 minutes.

## Post-Purchase Order Editing on Shopify — The Complete Guide

URL: https://ninety9.dev/blog/shopify-order-editing-guide.html
Published: 2026-08-08 (updated 2026-09-21)
Category: Retention & Post-Purchase · App: Reviso: Order editing & Upsell
Reading time: 8 minutes

Shopify order editing after checkout: which customer edits are safe, the rules you need, and why the edit screen is also a revenue page.

There is a window in every order between "payment confirmed" and "parcel dispatched". For most stores it lasts somewhere between a few hours and a couple of days, and almost nothing happens in it.

It is, in practice, the most operationally expensive window in the whole customer journey. It is where address corrections arrive, where "can I change the size" emails land, where cancellations are requested, and where a customer's minor mistake turns into a return you will pay for twice.

It is also, if you build for it, a revenue surface.

## What customers actually want to change

The distribution is consistent across categories:

| Request | Share of post-purchase contacts | Safe to self-serve? |
|---|---|---|
| Change shipping address | Largest single category | Yes, before fulfilment |
| Change size or variant | Large | Yes, same product |
| Change quantity | Moderate | Yes, with rules |
| Add an item | Moderate | Yes — and profitable |
| Remove an item | Moderate | With rules |
| Cancel entirely | Moderate | Deflect first |
| Change shipping method | Smaller | With rules |
| Update contact details | Smaller | Yes |

The top four are the bulk of the volume, and all four are safe to automate before fulfilment. That is the case for building this: a majority of your post-purchase support load is a form.

## Why Shopify does not do this natively

Shopify lets a merchant edit orders from the admin. It does not provide a customer-facing self-service interface for the same operations.

That is a defensible product decision — order editing touches inventory, payment authorisation, fulfilment status, tax calculation and discount logic all at once, and getting it wrong creates real financial mess. But it means the gap is filled by support staff doing manual admin work, which is the most expensive possible way to handle a high-volume, low-complexity request.

A customer emails about an address change. Support reads it, opens the admin, finds the order, checks fulfilment status, edits the address, replies. Call it six to eight minutes end to end, plus the customer waiting hours for a reply and possibly emailing again in the meantime. Multiply by the share of orders that need it.

## Edits ranked by risk

### Low risk — enable by default

**Shipping address.** Highest volume, lowest risk before a label is printed. The only real consideration is whether the new address changes the shipping zone or rate; if it does, either recalculate or restrict cross-zone changes.

**Variant swap within the same product.** Size or colour changes at the same price are a stock movement and nothing else. Check availability of the target variant, release the original.

**Contact details.** No commercial implications at all.

**Adding items.** Genuinely profitable, and the reason this whole feature has an ROI beyond cost saving. Requires collecting additional payment, which Shopify supports through order editing.

### Medium risk — enable with rules

**Quantity increase.** Straightforward, needs a stock check and additional payment.

**Quantity decrease.** Needs a rule for what happens to threshold-based rewards. If the order drops below the free shipping threshold, do you charge shipping retroactively? Usually not worth the friction — but decide it explicitly.

**Removing an item.** Same threshold question, plus the bundle question: if the removed item was part of a discounted set, does the discount survive? It should not, and the recalculation needs to be visible to the customer before they confirm.

**Shipping method change.** Fine if it is an upgrade the customer pays for. Downgrades after the fact are usually not worth allowing.

### High risk — restrict or handle manually

**Cross-product swaps.** Different product entirely, different price, different tax treatment. Effectively a cancel-and-reorder, and cleaner to handle that way.

**Currency or market changes.** Do not allow. The order was placed under a specific market's pricing, tax and duty configuration.

**Anything after fulfilment.** The window must close.

## The window must close at fulfilment

This is the single most important rule.

Before fulfilment, an edit is a database change. After fulfilment, it is a warehouse operation — retrieving a picked order, voiding a label, repacking, re-dispatching — or, worse, an intercept request to a carrier.

Closing the window automatically at fulfilment is what keeps this feature cheap. It should not be a policy that support enforces; it should be a state the interface reflects. When an order is fulfilled, the edit options simply are not there.

For stores with same-day dispatch this window can be very short. That is fine — a two-hour window still catches a large share of the mistakes, because most people notice a wrong address within minutes of receiving the confirmation email.

## Rules worth having

Self-service does not mean unrestricted. The controls that matter:

- **By fulfilment status.** The hard gate.
- **By time since order.** A secondary limit for stores with slow fulfilment, so an order placed three weeks ago is not still editable.
- **By country.** Some markets have customs or duty implications that make address changes genuinely risky.
- **By customer tag.** Wholesale and B2B accounts often need different rules — or no self-service at all.
- **By order value.** High-value orders may warrant a manual review step.
- **By edit type.** Allow address changes everywhere, restrict item swaps to domestic orders only, and so on.

## The edit screen as a revenue surface

Here is the part that turns a cost-saving feature into a growth one.

Think about who is on that page. Someone who has already paid. Someone who is engaged enough to have come back and taken a deliberate action. Someone whose order has not shipped, which means adding an item costs you nothing extra in fulfilment — it goes in the same box.

That is a better prospect than almost any visitor on your storefront, and they are on a page you fully control.

What works there:

- **"Forgot something?"** with recommendations based on what they ordered. The framing is helpful rather than salesy, and it is true.
- **Recently viewed items** from before the purchase. They looked and did not buy; this is a second chance with zero friction.
- **Free shipping top-up**, if the order is below a threshold and they are now adding items anyway.
- **Replenishment suggestions** for consumables they have bought before.

The conversion rates on this surface are unusually high, for the simple reason that every friction point normally standing between a shopper and an additional purchase has already been cleared.

The upsell must be secondary to the task. A customer who came to fix their address and cannot find the address field because the page leads with product recommendations will write to support anyway - and you will have paid for the feature without getting the benefit.

## Cancellation deflection

A specific and valuable case. When a customer starts a cancellation, you have one interaction to understand why and offer an alternative.

The sequence that works:

1. **Ask the reason.** A short list — changed my mind, wrong item, found it cheaper, taking too long, ordered by mistake.
2. **Respond to the reason.** Wrong item → offer the edit flow instead. Taking too long → show the actual delivery estimate. Changed my mind → offer an incentive.
3. **Make cancelling easy if they still want to.** A deflection flow that traps people produces chargebacks and reviews, which cost more than the order.

A saved order is worth substantially more than a refunded one, and a reason code is worth having regardless of the outcome. Over a few months, the reason distribution is one of the most useful datasets in the business.

## Rollout

1. **Address changes only**, before fulfilment. Measure the drop in support contacts.
2. **Add variant swaps** within the same product.
3. **Add quantity changes** with a threshold rule.
4. **Add the item-adding flow** with recommendations. This is where revenue starts.
5. **Add cancellation deflection** with reason capture.
6. **Layer in rules** by country, tag and order value once the base flows are stable.

Do not build all six at once. The first step alone typically removes a large fraction of post-purchase support volume, and it is the one with essentially no downside.

## Measuring it

- **Post-purchase support contacts per 100 orders**, before and after. The primary cost metric.
- **Self-service edit rate** — orders edited by the customer ÷ orders eligible.
- **Cancellation rate**, and the deflection rate within it.
- **Return rate for avoidable reasons** — wrong size, wrong item, wrong address. This is the slow one; expect it to move over a quarter rather than a month.
- **Revenue per edit session.** The upside metric.
- **Fulfilment exceptions caused by edits.** The guardrail. If warehouse errors rise after launch, the window is closing too late.

### FAQ

**Can customers edit their Shopify order after checkout?**

Not natively in a self-service way. Shopify lets merchants edit orders from the admin, but there is no built-in customer-facing interface for changing an address, swapping a variant or adjusting quantities. That gap is why most stores handle these requests manually through support.

**What order edits are safe to allow?**

Shipping address, item quantity, variant swap within the same product and adding items are all safe before fulfilment because none of them change the fundamental commercial terms. Removing items and changing shipping method need rules attached because both can affect thresholds and margin.

**When should the edit window close?**

At fulfilment. Once a label is printed or an item is picked, an edit stops being a database change and becomes a warehouse operation. Closing the window automatically at that point is what keeps the feature cheap to run.

**Does order editing reduce support tickets?**

Substantially. Address changes and wrong-variant corrections are among the highest-volume post-purchase contacts for most stores, and both are entirely self-serviceable. Stores that enable self-service editing typically see a marked drop in post-purchase contact volume within weeks.

**Can order editing reduce returns?**

Yes, for the category of returns that begin as a mistake at checkout rather than a problem with the product. A customer who ordered the wrong size and can fix it before dispatch never generates a return, which removes the outbound shipping, the return shipping, the restocking and the refund processing.

## The Shopify Cart Drawer Guide — Design, Speed and Upsells That Convert

URL: https://ninety9.dev/blog/shopify-cart-drawer-complete-guide.html
Published: 2026-08-04 (updated 2026-09-21)
Category: Cart & Checkout · App: Addy: AI Cart Drawer & Bundles
Reading time: 8 minutes

What makes a Shopify cart drawer sell: layout order, the blocks that matter, performance rules and the in-cart upsells worth running.

Most Shopify themes ship with a cart drawer that does exactly one thing: it lists what the shopper added. It is a receipt with a checkout button attached.

That is a strange design decision when you consider who is looking at it. Someone who has opened their cart has already decided to buy. They are past every objection that costs you conversions on the product page. They are, in that moment, the most valuable visitor on your site — and you are showing them a list.

This guide covers what to put in that space instead, in what order, and where the limits are.

## Why a drawer beats a cart page

The argument for a slide-out drawer over a dedicated `/cart` page comes down to a single word: continuity.

When a shopper clicks "add to cart" on a product page and the site navigates them to a cart page, three things happen. They lose the product they were looking at. They lose their scroll position in the collection. And they land on a page whose only forward action is "checkout" — which means the natural next move is to leave your catalogue entirely.

A drawer keeps all of that context. The product page is still behind the overlay. Closing the drawer returns them exactly where they were. Adding a second item costs one click instead of a full navigation cycle.

The exception worth naming: if your carts routinely run to fifteen line items, or your products need per-item configuration, or you sell B2B quantities, a full cart page has room a drawer does not. Everyone else should be using a drawer.

## The six blocks that matter, in order

The order is not cosmetic. Each block sets up the one below it.

### 1. The progress bar, at the very top

The first thing a shopper should see is not what they have — it is what they are close to getting. A progress bar showing "$18 away from free shipping" reframes the entire drawer from a summary into a task.

Put it above the line items. Below them it reads as a footnote; above them it reads as an instruction.

### 2. Line items with variant clarity

Image, title, variant, quantity stepper, price, remove. The failure mode here is ambiguity about which variant is in the cart. "Blue / Large" needs to be visible without hovering, because a shopper who is unsure will open a new tab to check, and that tab is where sessions go to die.

Quantity should be a stepper, not a text input. Steppers get used; text inputs get ignored.

### 3. One upsell block

Not a carousel of twelve. One block, showing one or two products, chosen from what is already in the cart.

The single biggest determinant of whether this converts is relevance, and the only reliable source of relevance is your own order history. Category-based suggestions produce the classic failure — recommending a second pair of the same shoes to someone who just added shoes.

### 4. The delivery estimate

"Arrives 22–24 August" removes the largest remaining unknown before checkout. It costs you nothing, it is trivially true if your fulfilment is predictable, and it consistently reduces the number of shoppers who close the drawer to go and look for your shipping policy page.

### 5. Trust and reassurance

Returns window, secure payment, support availability. Small, quiet, below the fold of the drawer. This block exists to answer objections, not to shout.

### 6. Checkout, sticky

The checkout button should be pinned to the bottom of the drawer and visible regardless of scroll position. Show the subtotal on or immediately above it. If you accept express checkout methods, they belong here too — but below the main button, not above it, because express buttons that dominate the drawer cannibalise the shoppers who would have added one more item.

Screenshot your cart drawer and remove the product images. If you cannot tell within two seconds what the shopper should do next, the hierarchy is wrong.

## Upsells that work in a cart drawer

Not every offer type belongs here. The cart is a *confirmation* surface, and offers that ask the shopper to reconsider their choice will kill momentum.

| Offer type | Works in cart? | Why |
|---|---|---|
| Complementary accessory | Yes | Additive, cheap relative to the anchor, no reconsideration required |
| Quantity break on an item already in cart | Yes | Pure upgrade, zero new decisions |
| Free gift threshold | Yes | Reward framing, no cost to the shopper |
| Shipping protection add-on | Yes, if unticked | Genuinely useful, near-zero COGS |
| Alternative to a cart item | No | Forces reconsideration of a decision already made |
| Unrelated bestseller | No | Reads as noise, dilutes the relevant offer |
| Email capture | No | Wrong moment entirely; you are about to get their email at checkout |

The price relationship matters. An accessory priced at 15–40% of the anchor product converts well. At 80% of the anchor it reads as a second purchase decision, and the shopper defers it.

## Personalising by market and segment

A single cart drawer for every shopper is a compromise you no longer have to make.

The obvious axis is geography. A free shipping threshold of $75 is aggressive in one market and trivially easy in another. A delivery estimate of "2–3 days" is a lie outside your domestic zone. Both should change with Shopify Markets.

The less obvious axis is customer segment. A first-time visitor and a customer with four previous orders should not see the same cart:

- **First-timers** benefit from trust blocks, returns policy and a lower-friction first goal.
- **Repeat customers** already trust you. Give that space to a higher reward tier or a replenishment suggestion instead.
- **Wholesale or tagged accounts** should not see consumer discount mechanics at all.

The most granular version of this is block-level targeting — the drawer stays the same but individual blocks appear or hide based on conditions. That is usually more maintainable than building five separate carts.

## Performance rules

A cart drawer that costs you 300ms of Largest Contentful Paint has to earn that back before it breaks even, and it usually does not.

Three rules keep it honest:

1. **Render on open, not on load.** The drawer markup does not need to exist until the shopper asks for it. Nothing in a closed drawer should be in the critical rendering path.
2. **Install as a theme app extension.** No `theme.liquid` injection. This is also what makes uninstalling clean — no orphaned script tags left behind in six months.
3. **Measure before and after.** Run PageSpeed Insights on a product page before install and after. If LCP moved by more than a rounding error, something is loading that should not be.

Several popular cart apps load their entire configuration payload — every block, every rule, every translation — on first page load rather than on drawer open. It works fine on your laptop and badly on a mid-range Android phone on 4G, which is most of your traffic.

## A realistic setup order

If you are building this from scratch, do it in this sequence and measure between each step:

1. Drawer with clean line items and a sticky checkout button. Baseline.
2. Add the free shipping progress bar with a threshold set from your actual order distribution.
3. Add the delivery estimate.
4. Add one upsell block with pairs drawn from real order history.
5. Add trust blocks and reassurance copy.
6. Only then: market targeting, segment rules and a second reward tier.

Steps two and four are where most of the money is. Steps one and three are where most of the conversion-rate protection is.

## What to measure

Cart-level metrics are more useful than store-level ones here, because they isolate the surface you changed:

- **Cart-to-checkout rate** — did the drawer make it easier or harder to proceed?
- **Units per order** — did the upsell block actually add items?
- **Average order value** — the headline, but not on its own.
- **Gross profit per session** — the honest number, after discounts and shipping cost.
- **Upsell take rate** — offers accepted ÷ offers shown, per block.

If cart-to-checkout drops while AOV rises, you have added friction and traded conversions for basket size. Sometimes that trade is profitable. Check, do not assume.

### FAQ

**Is a cart drawer better than a cart page?**

For almost all stores, yes. A drawer keeps the shopper on the page they were already engaged with, so adding one more item does not require a round trip. The exception is high-consideration carts with many line items, configuration options or B2B quantities, where a full page has room the drawer does not.

**Will a cart drawer app slow my store down?**

It should not. A well-built drawer loads asynchronously, renders only when opened, and never blocks the initial paint. Check that any app you install ships as a theme app extension rather than injecting a script into theme.liquid, and confirm your Largest Contentful Paint is unchanged before and after install.

**How many upsells should a cart drawer show?**

One or two. Every additional offer dilutes attention and lowers the take rate of the others. If you have more than two things worth suggesting, that is a signal your recommendation logic needs to be better, not that you need more slots.

**Should the cart drawer open automatically after add to cart?**

Yes, in most cases. Auto-opening confirms the action, removes any doubt that the item was added, and puts your progress bar and upsells in front of a shopper at their highest point of intent. The exception is stores where shoppers routinely add many items in a row from a collection page.

**Do I need to edit my theme to add a cart drawer?**

Not with a modern app. Theme app extensions install as blocks in the theme editor with no code changes, which means the drawer can be enabled and disabled from the admin and uninstalls cleanly with nothing left behind in your Liquid files.

## Exit-Intent Popups on Shopify — The Honest Guide to What Actually Works

URL: https://ninety9.dev/blog/exit-intent-popups-shopify.html
Published: 2026-07-28 (updated 2026-09-21)
Category: CRO & Analytics · App: Monet • AI Popup Bundle Addons
Reading time: 7 minutes

How Shopify exit-intent popups work on desktop and mobile, which offers convert on the way out, and when they cannot cost a sale.

Popups have earned their reputation. The five-second timer that covers a page you have just started reading is a genuinely bad piece of interface design and everyone involved knows it.

Exit intent is a different thing, and the difference is structural rather than cosmetic. A timed popup interrupts someone who is still deciding. An exit popup appears in front of someone who has already decided to leave. There is no conversion left to lose.

That single property is why exit intent is worth doing properly while most other popup triggers are worth deleting.

## How exit detection actually works

It is worth understanding the mechanism, because the mechanism explains the limits.

### Desktop

The browser exposes cursor coordinates continuously. Exit-intent code tracks position over time and looks for a specific pattern: rapid upward movement toward the top edge of the viewport, where the address bar, tab strip, back button and close button all live.

When velocity toward that edge crosses a threshold, the code fires. Typical implementations also require the pointer to actually leave the viewport bounds, which reduces false positives from someone reaching for a bookmark.

It is a heuristic, not a certainty. Someone reaching for their coffee will occasionally trigger it. That is acceptable, because the cost of a false positive is low and the popup is dismissible.

### Mobile

There is no cursor, so there is no equivalent signal. Mobile implementations fall back on:

- **Back-navigation intent** — intercepting the history back gesture. The strongest available mobile signal.
- **Rapid upward scroll** — weak, because it also describes someone scanning a page.
- **Inactivity** — weakest. Someone who stopped scrolling might be reading.

The honest position: mobile exit intent is a much blunter instrument. Back-navigation is usable; the other two produce enough false positives that they stop being exit intent and become interruptions with extra steps.

Hijacking the back gesture is intrusive and can trap users, which some browsers actively penalise. If you use it, the popup must be immediately and obviously dismissible, and a second back press must always leave.

## Placement decides the offer

The most common mistake is running one exit popup site-wide. The visitor's location tells you why they are leaving, and the offer should answer that reason.

| Page | Likely reason for leaving | Offer that fits |
|---|---|---|
| Cart | Shipping cost, total, delivery uncertainty | Free shipping threshold reminder, delivery estimate, small discount |
| Checkout start | Price, payment friction, second thoughts | Reassurance, payment options, support access |
| Product page | Not convinced, comparison shopping | Related product, size guide, reviews, bundle |
| Collection page | Browsing, no intent yet | Usually nothing. Do not fire here |
| Blog or content | Reading, not shopping | Content offer at most |

The last two rows matter. A visitor leaving a collection page after twenty seconds is not abandoning a purchase — they are browsing. Firing a discount at them costs margin and gains nothing, and it is the behaviour that gave popups their reputation.

## Offers ranked by what they cost you

Discounts are the default and the most expensive option. Try the cheaper ones first.

### 1. The threshold reminder (free)

"You're $12 from free shipping." If the visitor is leaving a cart that is close to a threshold, telling them so is often enough. Costs nothing and addresses one of the most common abandonment reasons directly.

### 2. The delivery reassurance (free)

"Order today, arrives Tuesday 26 August." Answers the question they may have been leaving to go and find.

### 3. The cart save (free)

"Save your cart — we'll email you a link." Converts an abandonment into a re-engagement opportunity, and captures an email address as a side effect rather than as the ask.

### 4. The related recommendation (free)

Particularly effective on product pages. The visitor may be leaving because this specific item is not right, not because your store is wrong.

### 5. The bundle offer (costs the bundle discount)

"Add the matching item and save 15%." Gives a reason to stay that is about value rather than about price.

### 6. The discount (costs the discount)

Effective, and the one to use last. Reserve it for high-value carts or first-time visitors where the lifetime value case is strong.

If you always offer a discount at exit, returning customers learn to trigger it deliberately. Within a few months you have not built a retention tactic, you have published a permanent price reduction with an extra step. Vary the offer, cap the frequency, and segment by customer history.

## Design rules

Exit popups have a short attention window. Every element must earn its place.

- **One offer, one action.** Two competing choices measurably reduce conversion. The secondary action should be "no thanks", not a second offer.
- **A visible, generously sized close control.** A tiny grey X in a corner is a dark pattern and it will end up in a review.
- **No second popup.** If they dismiss it, they leave. Accept that.
- **Frequency capping.** Once per session, and no more than once per visitor per week.
- **Suppress for converters.** A customer who has purchased in this session should never see an exit offer.
- **Keep it fast.** The popup must render immediately. A slow popup fires after the visitor has already gone.
- **Make it accessible.** Focus trap while open, `Escape` closes it, focus returns to where it was. This is not optional.

## The legal side

Exit popups intersect with a few rules that are worth knowing before you launch.

- **Email capture requires consent handling.** If you collect an address, GDPR applies: clear purpose, no pre-ticked boxes, and a real unsubscribe.
- **Discount terms must be honest.** A code that expires in ten minutes must actually expire in ten minutes. A countdown that resets on refresh is a false statement about your commercial terms.
- **Accessibility is a legal requirement** in a growing number of jurisdictions. A modal that cannot be dismissed with a keyboard is an accessibility failure with legal exposure attached.

## Measuring properly

Exit popups have a measurement trap: the denominator is not your traffic, it is your *exiting* traffic. Judging them against site-wide conversion makes them look worse than they are.

Track:

- **Fire rate** — popups shown ÷ sessions. Unusually high suggests false positives.
- **Engagement rate** — interactions ÷ shown.
- **Recovery rate** — sessions that converted after seeing the popup ÷ sessions shown. The headline number.
- **Discount cost per recovered order**, if you are offering one.
- **Repeat trigger rate** — the share of visitors seeing it more than once. Rising means habituation is starting.
- **Return visit rate** for shoppers who saw and dismissed it. The brand-damage guardrail. If people who see your exit popup come back less often than those who do not, the popup is costing more than it earns.

That last metric is the one nobody measures and the one that decides whether the tactic is sustainable.

## A sensible starting configuration

- Cart page and checkout-start only. Nothing on collection or blog pages.
- Desktop cursor-velocity trigger; mobile back-navigation only.
- First offer: a free shipping gap reminder or a delivery estimate — no discount.
- Frequency cap: once per session, once per week per visitor.
- Suppressed entirely for anyone who has already purchased in the session.

Run that for a month. Only add a discount tier if the free offers are not recovering enough, and only for carts above a value where the discount is clearly worth paying.

### FAQ

**How does exit-intent detection work?**

On desktop it tracks cursor position and velocity, firing when the pointer moves rapidly toward the top edge of the viewport where the address bar and tab controls sit. On mobile there is no cursor, so implementations fall back on back-button navigation, rapid upward scrolling or a period of inactivity, all of which are weaker signals.

**Do exit-intent popups hurt conversion rate?**

They are the one popup type that structurally cannot, because they only fire on visitors who have already signalled departure. The risk is not conversion loss but brand damage from a poorly targeted or aggressive popup, and from firing repeatedly at the same visitor.

**What offer works best in an exit popup?**

It depends on where the visitor is. On a cart page, address the likely reason for leaving - shipping cost, delivery uncertainty or price. On a product page, a related recommendation or a reminder often outperforms a discount. A discount is the most expensive option and should not be the default.

**Should exit popups offer a discount every time?**

No. Habitual discounting at exit teaches returning visitors to trigger the popup deliberately, which converts a retention tactic into a permanent margin reduction. Reserve discounts for high-value carts or first-time visitors, and use non-discount offers elsewhere.

**Do exit-intent popups work on mobile?**

Less reliably, because the signals are weaker. Back-navigation intent is the most usable trigger. Scroll-based and inactivity-based triggers produce more false positives, which means interrupting people who were not leaving - exactly the failure mode exit intent is supposed to avoid.

## Partial Refunds vs Order Edits — Fix the Shopify Order Instead of Unwinding It

URL: https://ninety9.dev/blog/partial-refunds-vs-order-edits.html
Published: 2026-07-25 (updated 2026-09-21)
Category: Retention & Post-Purchase · App: Reviso: Order editing & Upsell
Reading time: 5 minutes

Prefer a Shopify order edit before fulfilment — add, swap or remove a line. After the box has shipped, a partial refund or return is the honest path.

If fulfilment has not started, fix a Shopify order with an edit — add, swap or remove a line — instead of a partial refund. If the box has shipped, a partial refund or a return is the honest path. Customers ask for both using the same words ("I need to change my order"). Your job is to pick the path that matches whether the box still exists.

A partial refund is an unwind. An order edit is a correction. Unwinding a live order is how you lose the reorder and desync inventory.

## What is the difference

An **order edit** changes the paid order in place: swap a variant, add a SKU, drop a line, adjust the capture. One order ID, one shipment, one payment trail.

A **partial refund** returns some of the money and often leaves the rest of the order as it was. After ship, that can be the right tool. Before pick, it is usually the wrong one, because the warehouse may still send the line you just refunded.

[Shopify order editing](/blog/shopify-order-editing-guide.html) is the correction path. Refunds are the unwind path. Use the one that matches the box.

## Before fulfilment: edit

They paid for A and meant B. Swap the line, adjust the payment, keep the order ID. They paid for one and want two. Add the line, capture the difference, one shipment.

This is cheaper than refunding and asking them to reorder: they might not reorder, and you have created a second chance to lose them at checkout.

The [cut-off window](/blog/order-edit-cutoff-windows.html) is what makes this safe. If the window is open and stock exists, edit. If pick has started, stop.

Worked example: they bought Navy / M, meant Navy / L. L is in stock. Swap the variant, refund or capture the difference if the price changed, leave the order number alone. Do not refund the M, ask them to reorder L, and hope they come back.

## After fulfilment: refund or return

The inventory is in a van. You cannot "edit" it without intercepting a carrier, which you will not do for a cheap SKU. Offer a return, a partial refund if the item is missing from the box, or a new order for what they now want.

Language matters. Do not call that a cancel. Do not call it an edit. Call it what the warehouse can do.

Editing a shipped order is how you get inventory desync: Shopify thinks the line changed, the box in transit still holds the old SKU, and a second shipment goes out for the new one. [Returns](/blog/reduce-ecommerce-returns.html) and partial refunds match the physical world.

## Removal versus refund

If they drop a line before pick, restock it and adjust the capture. A refund issued while the line stays on the order will ship unless someone remembers. That is how you pay to send a thing you already refunded.

If they want a cheaper variant, swap the line if stock exists and the window is open. Do not leave both variants on the order and refund by hand.

If they want to add a product after paying, charge the difference only if the warehouse can still add it to the same shipment. If the order is already picked, send a second order instead of pretending it is one box.

## How to choose the path

| Order state | Customer wants | Do this | Do not do this |
|---|---|---|---|
| Window open | Different variant | Swap the line, adjust payment | Refund and reorder |
| Window open | Extra SKU | Add line, capture difference | Promise it is in the same box after pick |
| Window open | Drop a line | Remove, restock, adjust capture | Refund while leaving the line on the order |
| In fulfilment | Any change | Refuse self-serve; second order or wait | Catch a tote mid-pick for a small SKU |
| Shipped | Wrong item / change of mind | Return or partial refund | Edit the shipped order |

## One playbook for the team

Write three rows: window open / in fulfilment / shipped. For each, the allowed action. If live chat and the self-serve portal disagree, customers will use both and you will double-process.

Mixed practice — some agents refund, some edit — is how customers learn to ask for both. Document the path. Train to it. The portal should not offer an edit the agent will then unwind.

Refunds also show up as returns and can distort merchandising. Edits keep the sale. That is a reporting reason as well as an ops reason to edit while you still can.

Fixing an order is almost always better than unwinding it. The skill is knowing when the order is still there to fix.

### FAQ

**Is an order edit better than a partial refund?**

Before fulfilment, usually yes — one order, one payment adjustment, one shipment. After fulfilment, a partial refund or return matches reality.

**What if they want a cheaper variant?**

Swap the line if stock exists and the window is open; capture or refund the difference. Do not leave both variants on the order and refund by hand.

**Can they add a product after paying?**

Yes, if you can charge the difference and the warehouse can still add it to the same shipment. If the order is already picked, send a second order instead of pretending it is one box.

**Do refunds hurt more than edits in analytics?**

Refunds show up as returns and can distort merchandising. Edits keep the sale. That is a reporting reason as well as an ops reason to edit while you still can.

**What if the customer asks to cancel one item in a two-item order?**

If pick has not started, remove the line, restock it, and adjust the capture. If the box has shipped, that is a partial return or a partial refund, not an edit. Do not refund the line and leave it on the order to ship.

**Should live chat and the self-serve portal follow the same rules?**

Yes. Write three rows — window open, in fulfilment, shipped — and the allowed action for each. If chat and the portal disagree, customers will use both and you will double-process.

## Put the Order-Edit Link in the Shopify Confirmation Email

URL: https://ninety9.dev/blog/post-purchase-email-edit-link.html
Published: 2026-07-24 (updated 2026-09-21)
Category: Retention & Post-Purchase · App: Reviso: Order editing & Upsell
Reading time: 5 minutes

Put the Shopify order-edit link in the confirmation email — one button above the fold — and repeat it on the order status page.

Put the self-serve order-edit link in the Shopify confirmation email. That message is already in the inbox, already about this order, already trusted. If the only door is a sentence in a help centre article, the portal will sit unused and the address change will still arrive as a ticket.

You built a portal. Nobody opened it. Move the door to the email you already send.

## Why the confirmation email is the door

The order confirmation is the highest-intent post-purchase surface you have. The customer is still in "I just paid" mode. They will notice a wrong postcode, a missing gift note, or a size they meant to change *now*, not three days later in a help widget.

Hiding the link does not reduce the need to change the order. It only routes the need through support. If volume scares you, tighten the [cut-off window](/blog/order-edit-cutoff-windows.html). Do not hide the door.

## One button, one job

"Need to change your address, add an item, or update the delivery note? Change this order." One URL. The portal can still have separate screens inside. The email should not look like a sitemap.

Two links — "change address" versus "add a product" — split a simple job. People pick the wrong one or pick neither.

Place it above the fold of the email, after the order summary, before the footer legal. People scan. A link in the footer next to unsubscribe is not a feature.

Keep the label operational. This is not a newsletter. Do not dress the button as "manage your experience." "Change this order" is enough.

## How to add the link in Shopify

1. In Shopify admin, go to Settings → Notifications and open the order confirmation template.
2. Add one button or text link that uses the customer edit URL your portal provides for that order.
3. Place it after the line-item summary, before shipping and legal footer blocks.
4. Use the same label you will use on the order status page.
5. Place a real test order as a guest, open the email on a phone, and tap the link. Do not trust the Shopify preview dummy — the URL is order-specific.

If the app gives you a liquid variable or a unique link per order, use that. A static help-centre URL is not an edit link.

You can usually do this without a developer if the app provides the customer link. Still test with a real order.

## Repeat it on the order status page

Not everyone opens email on the device they will use to type a new address. The Shopify order status page is the other place they already go. Same link, same cut-off behaviour.

If you send shipping SMS, a short "Need to change something?" with the same link is useful. Do not add a second marketing SMS just for the portal.

Account order history can carry the same door for logged-in customers. Guests will not see that, which is why the email and status page are not optional.

## After cut-off

Swap the button for a line: "We've started packing this order, so the details are locked. Questions? Reply to this email." A 500 from an expired token is an engineering bug that presents as a broken store.

Disable or rewrite the button when the [window closes](/blog/order-edit-cutoff-windows.html). A live link that errors is worse than no link.

If they still need a [new address after checkout](/blog/change-shipping-address-after-checkout.html) once packing has started, the email should say so and point to support or a return path — not to a form that cannot save.

## Guest checkout

If the portal requires a login and they bought as a guest, you have created a ticket. Use the same customer-access token model Shopify uses for order status. Anything else is friction you will pay for in chat.

Worked example: a guest orders a gift, sees the confirmation on their phone, and notices the apartment number is missing. They tap "Change this order," land in the portal without creating an account, add the number, and stop. If that tap hits a login wall, they email support from a different device and you type the apartment number for them.

## How to measure it

Count portal sessions from the email versus tickets that still say "please change my address." If tickets do not fall, the link is below the fold, broken for guests, or dead after cut-off. Edits in a portal are supposed to rise. That is the point — you moved the work off the queue. See [self-serve edits versus tickets](/blog/self-serve-order-edits-vs-tickets.html) for what should never need a human.

Transactional email is not a newsletter. Put the operational link in it and get out of the way.

If you send a shipping-soon reminder as well, repeat the same button only while the window is still open. After cut-off, that reminder should drop the edit CTA and keep tracking. Two emails with two different stories about whether the order can still change is how you get a ticket that quotes both.

### FAQ

**Can I add this without a developer?**

If your edit app provides a customer link per order, you can usually drop it into the notification template. Test with a real order, not the Shopify preview dummy, because the URL is order-specific.

**Won't this increase edits?**

Yes. That is the point. Edits in a portal are cheaper than edits in a ticket. If volume scares you, tighten the rules, do not hide the link.

**Should SMS get the same link?**

If you send shipping SMS, a short "Need to change something?" with the link is useful. Do not add a second marketing SMS just for the portal.

**What about customers who checkout as guest?**

The link must work with the order-status token Shopify already emails them. Requiring an account for a guest order sends them to support.

**Where in the confirmation email should the button sit?**

Above the fold, after the order summary, before the footer legal. People scan. A link in the footer next to unsubscribe is not a feature. One button, one job — change this order.

**What should the button say after the cut-off?**

Swap it for a line that the details are locked because packing has started, and that they can reply to the email with questions. A server error from an expired token presents as a broken store.

## How to Write a Shopify Cancellation Policy Customers Will Use Instead of Chargebacks

URL: https://ninety9.dev/blog/writing-a-cancellation-policy.html
Published: 2026-07-23 (updated 2026-09-21)
Category: Retention & Post-Purchase · App: Reviso: Order editing & Upsell
Reading time: 5 minutes

Write a Shopify cancellation policy that matches the warehouse: self-serve cancel before packing, returns after ship, in the confirmation and cancel flow.

Write a Shopify cancellation policy that matches what the warehouse can actually do: instant self-serve cancel until packing starts, then returns or a partial refund once it has shipped. People cancel for boring reasons — ordered two by accident, found it cheaper, the gift is no longer needed. A policy that cannot handle boring reasons pushes those people into the card issuer. Chargebacks cost more than a cancelled order.

Write the policy for the warehouse you have, then put it where the click happens.

## What a cancellation policy has to do

A useful policy names three things: when they can cancel, what happens to the payment, and what happens after the box is moving. It is an operations document, not a brand manifesto.

It should agree with [order editing](/blog/shopify-order-editing-guide.html) and with your [cut-off window](/blog/order-edit-cutoff-windows.html). If they can still change the address, they can usually still cancel. If packing has started, neither is a portal click.

## Match the words to the box

If you can stop the order before it is picked, say "You can cancel until we start packing." If you cannot, say "Once we ship, use returns." Do not say "cancel anytime" unless you mean it for every SKU, including custom print.

"Cancel anytime" on a made-to-order SKU is a chargeback waiting for a lawyer. Split the policy by product type if you have to: stocked goods versus personalised versus preorder.

Worked example: a stocked tee can cancel until pick. A printed name on a bottle cannot cancel once production has started, even if the carrier has not scanned a bag. Say so on the product page and in the confirmation, not only in the footer.

## What to include

Keep it short enough to sit on a button screen:

1. **Cut-off.** Until we start packing / until production starts / until the preorder ships.
2. **Payment.** Instant refund to the original method, or the number of days it actually takes.
3. **After ship.** Return or partial refund — not "cancel."
4. **Exceptions.** Custom, perishable, digital, wholesale.
5. **How.** Self-serve link in the confirmation email; support only after cut-off.

If the portal and the policy page disagree, the portal wins in their memory and you lose the dispute. Write once. Reuse everywhere.

## Put it in the flow

Footer legal pages are for lawyers. The customer needs one paragraph in the confirmation email and the same paragraph at the top of the cancel screen.

Put a line on the product page for SKUs with a harder rule ("Personalised items cannot be cancelled once production starts"). Surprise at cancel time is how you get the chargeback.

This is also how you [reduce order cancellations](/blog/reduce-order-cancellations.html) that are really "I did not know the rule." Clarity before pay is cheaper than a keep-offer after.

## The keep offer

When they start a cancel, you may offer a reason to keep the order: a small discount, a free add-on, a delayed delivery date. One offer, easy decline, then cancel completes.

Two extra screens, a survey, and a buried confirm are how you get the 1-star review that says you would not let them leave.

A keep-offer is not a dark pattern if skip is easy and the offer is real. It is a dark pattern if the cancel button is hidden, delayed, or labelled "continue." Self-serve cancel before fulfilment should still be instant after they decline.

## After it has shipped

The button should not say Cancel. It should say Start a return, or Contact us, depending on your setup. Language that promises a cancel on a moving parcel is how you get a refund and a delivery.

Pretending otherwise creates double inventory and carrier chaos. After fulfilment, a cancel is a return.

## Subscriptions are a different product

Say when the next charge stops, whether the current shipment still goes out, and how to skip instead of cancel. Do not reuse the one-time order paragraph on a subscription. Skip is often what they wanted. If you only offer cancel, you will lose the customer and still ship this week's box.

A good cancellation policy is short, operationally true, and sitting on the button. Everything else is decoration.

## Common mistakes

Copying a competitor's "cancel anytime" when your warehouse cannot honour it. The card issuer will take the customer's side if your storefront promised more than packing can do.

Putting the policy only in Settings → Policies and nowhere in the confirmation. Nobody reads the footer until they are already angry.

A keep-offer that requires three "are you sure" screens. One real offer, one obvious skip, then cancel. Anything slower is how you trade a cancelled order for a chargeback plus a review.

Staff who still process cancels as refunds while leaving the line on the order. Align the policy with [partial refunds versus order edits](/blog/partial-refunds-vs-order-edits.html) so the warehouse and the portal tell the same story.

### FAQ

**Should cancellations be instant?**

Before fulfilment, yes — instant and self-serve. After fulfilment, a cancel is a return. Pretending otherwise creates double inventory and carrier chaos.

**Is a keep-offer in the cancel flow a dark pattern?**

Not if skip is easy and the offer is real. It is a dark pattern if the cancel button is hidden, delayed, or labelled "continue".

**Will a stricter policy increase chargebacks?**

A stricter policy that you hide will. A clear policy that matches what you can actually do usually reduces them, because people know the rules before they pay.

**What about subscriptions?**

Say when the next charge stops, whether the current shipment still goes out, and how to skip instead of cancel. Subscription cancel is a different product than one-time order cancel.

**Where should customers read the cancellation policy?**

One paragraph in the confirmation email and the same paragraph at the top of the cancel screen. Footer legal pages are for lawyers. If the portal and the policy page disagree, the portal wins in their memory.

**What should the button say after the order has shipped?**

Not Cancel. It should say Start a return, or Contact us, depending on your setup. Language that promises a cancel on a moving parcel is how you get a refund and a delivery.

## Order Edit Cut-Off Windows — Set a Deadline Before Fulfilment Starts

URL: https://ninety9.dev/blog/order-edit-cutoff-windows.html
Published: 2026-07-22 (updated 2026-09-21)
Category: Retention & Post-Purchase · App: Reviso: Order editing & Upsell
Reading time: 5 minutes

Set Shopify order-edit cut-offs from fulfilment status, not a random hour count. Publish the window and close it when packing starts.

An order-edit cut-off window on Shopify should close when fulfilment starts, not at a random number of hours. "You can change this order until we start packing it" is a sentence a warehouse can keep. "You have 24 hours" is a sentence that breaks the first time you offer same-day dispatch.

An edit window is an operations contract. Marketing did not invent it; the warehouse did. Close too early and you get tickets. Leave it open too long and you rip open boxes.

## What an order-edit cut-off window is

A cut-off is the last moment a customer may change address, items or notes on a paid order without a human rewriting fulfilment. After that moment the honest path is a second order, a return, or a support conversation — not a portal that pretends the box is still on the bench.

It sits inside [Shopify order editing](/blog/shopify-order-editing-guide.html). The window is the rule. The portal is the door.

## Bind the window to fulfilment status

If Shopify (or your 3PL) marks an order as in fulfilment, the self-serve door closes. Everything else is a support conversation.

A wall-clock window is how you allow an address change on an order already in a tote. The cut-off is whenever pick starts, plus a buffer the picker actually needs.

Same-day dispatch makes this obvious. A store that packs within two hours cannot honour a 24-hour marketing promise. Publish the short window. Do not publish a long one and then refuse edits in chat.

## How long the window should be

As long as fulfilment has not started, plus a buffer your warehouse actually needs — often 30–90 minutes before pick. That buffer is cheaper than shipping to the old address and refunding the ticket.

Worked example: you pack at 3pm for same-day courier. Orders placed at 2:10pm need a closed door by 2:15pm if pickers start gathering at 2:20pm. Orders placed at 8pm for tomorrow's wave can stay open until that wave's buffer. One rule — "until we start packing" — covers both. Two fake hour-counts do not.

If you use a 3PL, the cut-off is whenever they pull the order. Integrate with fulfilment status, not with a clock on your site.

## Buffer time for the warehouse

Pickers need a few minutes of certainty. If the portal allows an address change while someone is walking to the shelf, you will ship to the old address and refund the ticket. A 30–90 minute pre-pick buffer is cheaper than that.

Do not skip the buffer because a customer asked nicely in the last five minutes. Extend for VIP tags if you must, as an explicit rule. Do not extend globally because one person asked. The warehouse is the constraint.

Different locations can have different windows. A short cut-off for same-day dispatch and a longer window for made-to-order can coexist. Bind each to that location's fulfilment status.

## Tell them once, in the right places

Confirmation email: "Need to change the address or add an item? You can do that here until we ship." The [order-edit link in the confirmation email](/blog/post-purchase-email-edit-link.html) is the door. A hidden deadline creates tickets, which is what you were trying to avoid.

Order status page: the same link, plus a disabled state after cut-off with a reason ("We've started packing this one — email us if it's urgent").

A remaining-time countdown is useful if it is true. A countdown that ignores "fulfilment started" will unlock edits you then have to reverse.

Silence is how you get "I didn't know I could change it" and "I didn't know I couldn't". Put the window in both places. Use the same words.

## After the door closes

Do not leave a form that submits into a void. Show the closed state and the next best action: a new order, a return once it arrives, or a support email for genuine emergencies. A 404 on the edit link after cut-off is a bug.

Do not pretend you can catch a box that is already moving. Once pick-and-pack has started, refuse the edit. If they need a [new shipping address](/blog/change-shipping-address-after-checkout.html) after that, it is a carrier or support problem, not a self-serve one.

The window is not a growth hack. It is how self-serve stays true.

## Common mistakes

- Publishing "24 hours" while the warehouse ships in two
- Binding the rule to the clock instead of fulfilment status
- Leaving the edit form live after cut-off so it errors
- One global window for same-day and made-to-order
- Extending the window in chat for whoever asks, which teaches everyone to ask

Write the contract the warehouse can keep, then print it on the email. Everything else is a ticket you chose.

If two locations pack on different clocks, say so in the email for that order — not in a generic help article. The customer only needs the rule that applies to *this* box. A single honest sentence beats a policy that tries to cover every warehouse at once.

### FAQ

**How many hours should the window be?**

As long as fulfilment has not started, plus a buffer your warehouse actually needs (often 30–90 minutes before pick). A fake "24 hours" that you cannot honour when you ship in two is worse than a short honest window.

**What if I use a 3PL?**

The cut-off is whenever they pull the order. Integrate with fulfilment status, not with a wall clock, or you will allow edits on orders already in a tote.

**Should the customer see a countdown?**

A remaining time is useful if it is true. A countdown that ignores "fulfilment started" will unlock edits you then have to reverse.

**Can I extend the window for VIP customers?**

Yes, with a tag-based rule. Do not extend it globally because one customer asked. The warehouse is the constraint.

**What should the customer see after the cut-off?**

A closed state with a reason and a next action — a new order, a return once it arrives, or a support email for genuine emergencies. Do not leave a form that submits into a void, and do not 404 the edit link.

**Does Shopify have a built-in customer edit window?**

Shopify lets staff edit orders in admin, but a self-serve customer window with a fulfilment-aware cut-off is not a default storefront feature. You still need a portal, published copy, and a rule that closes when packing starts.

## In-Cart Upsells — 9 Offers That Convert and 4 That Annoy Customers

URL: https://ninety9.dev/blog/in-cart-upsells-that-convert.html
Published: 2026-07-21 (updated 2026-09-21)
Category: Cart & Checkout · App: Addy: AI Cart Drawer & Bundles
Reading time: 7 minutes

A ranked breakdown of Shopify in-cart upsells: price ratios, placement and the offer types worth running versus the ones that annoy.

An in-cart upsell is the easiest offer in ecommerce to get slightly wrong. The shopper has committed, the mechanics are simple, and every app makes it a two-click setup — which is exactly why so many stores end up with a cart full of offers that nobody takes.

The difference between an offer that converts and one that gets ignored is almost never the design. It is the relationship between the offer and what is already in the basket.

## The rule underneath everything

A shopper looking at their cart has finished deciding. They are in confirmation mode, not evaluation mode.

That single fact predicts which offers work:

- **Additive offers** — "would you also like…" — cost the shopper nothing cognitively. They can say no in a quarter of a second and lose nothing.
- **Substitutive offers** — "actually, consider this instead" — reopen a closed decision. Even when the shopper declines, you have introduced doubt into a cart that had none.

Every recommendation in this article follows from that distinction.

## The nine that work

### 1. The complementary accessory

The default, and still the best. A case with a device, a filter with a machine, socks with boots.

Price ratio is the variable that matters most. Somewhere between 15% and 40% of the anchor product's price is the zone where an accessory reads as "obviously, yes" rather than "let me think about that". At 60%+ you are asking for a second purchase decision, and the shopper defers it — usually forever.

### 2. The quantity upgrade

"Add one more and save 10%." The shopper does not evaluate a new product at all; they evaluate a better price on something already chosen. Take rates on this are consistently the highest of any cart offer because the decision cost is close to zero.

Works on consumables and anything with a replenishment cycle. Does not work on considered single purchases.

### 3. The threshold gift

Not strictly an upsell — a reward. "Spend $22 more and get the travel size free."

What makes this work is that the shopper is choosing to *earn* something rather than to *buy* something, which is a materially different psychological transaction. The gift should be genuinely desirable and genuinely small in cost. A gift nobody wants is worse than no gift, because it reveals the mechanic.

### 4. Shipping protection

Near-zero cost of goods, real perceived value, and a legitimate service. Take rates are often surprisingly high.

The one non-negotiable: it must be unticked by default. Pre-ticked opt-outs are illegal in the EU under the Consumer Rights Directive, generate chargebacks everywhere else, and are the fastest way to end up in a review that mentions the word "sneaky".

### 5. Gift wrap and personalisation

Seasonal, high-margin, and it makes the order feel considered. Particularly strong in Q4, and worth turning off in February rather than leaving it running as permanent clutter.

### 6. The replenishment nudge

For repeat customers only: "You last ordered this 47 days ago." No discount, no persuasion — just information the shopper actually wants. It converts because it is useful rather than because it is an offer.

### 7. The bundle completion

The shopper has two of the three items in a known set. Offering the third at a small discount completes a pattern, and pattern completion is unusually motivating.

Requires that the set is real and obvious to the customer. Manufactured sets do not work.

### 8. The sample or trial size

Low price, low risk, high information value for the shopper, and an excellent way to seed a future full-size purchase. Effectively a paid product trial that improves your AOV instead of costing you CAC.

### 9. The warranty or service add-on

Best on higher-priced items where the shopper is already thinking about protecting the purchase. Margin is usually excellent. Be precise about what it covers — vague warranties generate support load that erases the margin.

## The four that annoy

### 1. The substitute product

"Customers also viewed…" belongs on a product page, not in a cart. Showing an alternative to something already in the basket does one of two things: nothing, or it makes the shopper wonder whether they picked the wrong item. Neither outcome is worth the slot.

### 2. The unrelated bestseller

Filling the upsell block with your top seller regardless of cart contents is the recommendation equivalent of shrugging. It trains shoppers to ignore that region of the drawer, which then poisons the well for the relevant offers you show later.

### 3. Email capture in the cart

You are roughly ninety seconds from getting their email address at checkout. Asking for it here trades a guaranteed acquisition for an interruption.

### 4. The third, fourth and fifth offer

Every additional offer reduces the take rate of the ones above it. Two is the practical ceiling in a drawer. If you genuinely have three things worth suggesting, your recommendation logic needs to be more selective — not your cart taller.

An upsell block, a gift threshold, a countdown timer, an announcement bar and a discount code field all in the same drawer is not five chances to convert. It is one confused shopper and a checkout button pushed below the fold.

## Picking the pairs

Almost all of the performance difference between two stores running the same upsell app comes down to which products get suggested.

The method that works:

1. Export the last 90 days of orders with line items.
2. For each product, count how often each other product appears in the same order.
3. Filter to pairs where the co-occurrence is materially above what random chance would produce.
4. Remove anything in the same substitutable category as the anchor.
5. Of what remains, prefer the item closest to 25% of the anchor price.

That produces a better pairing list than any category rule, and it takes an afternoon. If your order volume is high enough, a system that recalculates this continuously will beat a static list, because your catalogue and your seasons move and a hand-built list does not.

## Measuring properly

Four numbers, in this order of usefulness:

| Metric | What it tells you | When to look |
|---|---|---|
| Take rate (accepts ÷ impressions) | Whether the offer is relevant | Immediately — needs low volume |
| Attach revenue per cart | Whether it is worth the slot | After ~200 impressions |
| Cart-to-checkout rate | Whether you added friction | Continuously, as a guardrail |
| Gross profit per session | Whether the whole thing is profitable | Monthly |

Take rate is the fastest signal, because relevance shows up long before revenue does. An offer with a take rate near zero is not underpriced — it is irrelevant, and no discount will fix that.

The guardrail metric is cart-to-checkout rate. If it moves down while AOV moves up, you have traded conversions for basket size. Sometimes that is profitable. Run the third number before you decide.

## A sensible starting configuration

For a store that has never run cart upsells:

- **One** complementary accessory block, pairs from real order data, priced at 15–40% of the anchor.
- **One** free shipping progress bar above the line items.
- Shipping protection as an unticked add-on, if you can service the claims.
- Nothing else, for at least three weeks.

Then add the second offer, and measure whether the first one's take rate dropped. If it did by more than a little, you have found your ceiling.

### FAQ

**What is a good in-cart upsell take rate?**

For a relevant complementary accessory shown to every cart, single-digit percentages are normal and anything consistently above ten percent is strong. Quantity upgrades on an item already in the cart run much higher because they require no new decision. Compare each offer against your own baseline rather than against a published benchmark, since take rate depends heavily on category and price point.

**Should cart upsells be discounted?**

Not always. A discount helps when the shopper needs a reason to decide now, and hurts when it trains customers to expect the accessory to be cheap. Test the same offer with and without a discount before assuming the discount is what makes it work.

**Where should the upsell block sit in the cart drawer?**

Below the line items and above the trust and checkout blocks. Placing it above the line items competes with the progress bar for the top slot and makes the cart feel like an ad unit before it feels like a cart.

**Do cart upsells hurt conversion rate?**

Additive offers placed after commitment rarely do. What hurts is anything that asks the shopper to re-open a settled decision, anything that pushes the checkout button below the fold, and anything that adds a required step. Keep the checkout path a single unobstructed click and the risk is minimal.

**How do I choose which product to upsell?**

Use your own order data. Find the products that most frequently appear in the same order as the anchor product, filter for ones priced well below it, and exclude anything in the same substitutable category. Category-based logic produces the classic failure of recommending a second pair of the same shoes.

## Self-Serve Order Edits vs Support Tickets — Why Shopify Stores Should Stop Taking Calls for Address Changes

URL: https://ninety9.dev/blog/self-serve-order-edits-vs-tickets.html
Published: 2026-07-21 (updated 2026-09-21)
Category: Retention & Post-Purchase · App: Reviso: Order editing & Upsell
Reading time: 5 minutes

Move Shopify address changes, delivery notes and add-a-SKU requests to self-serve until fulfilment starts. Keep high-risk edits on tickets with rules.

Most Shopify "please change my address" tickets should never need a human. Until fulfilment starts, address, delivery note and add-a-SKU edits are work the customer already understands. Self-serve is how you stop paying someone to type what they already know.

Self-serve is not a feature for its own sake. It is a support product that happens to be able to sell. Lead with the support.

## What self-serve order edits are

Self-serve order editing is a customer portal that changes a paid Shopify order inside rules: same country, before fulfilment, in-stock SKUs, published cut-off. It is the opposite of a helpdesk macro that copies a new postcode into admin.

It lives inside [Shopify order editing](/blog/shopify-order-editing-guide.html). The portal does the repetitive work. Tickets keep the judgement calls.

## What should never need a ticket

Until fulfilment has started:

- Shipping address inside the same country
- Delivery instructions
- Adding a SKU that is in stock
- Swapping a variant of the same product (size, colour) when inventory allows

Those four are the volume. If they are still landing in the inbox, you do not have an order-edit product. You have a form letter.

Worked example: 40 address tickets a week, each a few minutes of chat plus a carrier check. Move same-country changes to the portal with a [cut-off before pick](/blog/order-edit-cutoff-windows.html). The queue should drop by those 40. What remains is country switches, fraud, and people who missed the window — work a human can actually judge.

## What should still hit a human

- Country or continent changes
- High-value orders above a threshold you set
- Accounts with fraud signals
- Requests after the cut-off you published
- Cancellations with refunds, wholesale orders, freight-forwarding patterns

Rules are not pessimism. They are how self-serve stays available for everyone else.

Some people will try to abuse the portal. Cap what can change and you keep the honest "I typed the postcode wrong" cases off the queue. Do not shut the whole door because of the edge case.

## How to keep high-risk changes behind rules

1. Same-country address edits: self-serve until fulfilment, plus buffer.
2. Country change: ticket. Postage, duties and fraud risk change.
3. Order value above your threshold: ticket or a two-step confirm you actually review.
4. Fraud-tagged accounts: no portal, or portal in view-only.
5. After cut-off: closed state, not a form that errors.

Write this as a table the team can see. If live chat lets a country change through while the portal blocks it, customers will game both.

## Show the door

Confirmation email, order status page, account order history: the same link, the same window ("You can change this until we ship"). If the only path is "reply to this email", you will get replies.

The [edit link in the confirmation email](/blog/post-purchase-email-edit-link.html) is not a nice-to-have. A portal nobody can find is not self-serve.

Guests need the order-status token, not a forced account. Address tickets from guests are often "I cannot log in," not "I cannot find my postcode."

## Measure the queue, not only AOV

Track volume of address and add-item tickets before and after. If AOV from post-purchase offers is the only number on the dashboard, you will under-invest in the thing that actually changed the team's week.

Count:

- Address / note / add-SKU tickets per week
- Portal completions inside the window
- Edits reversed because fulfilment had already started (that number should be near zero if the cut-off is bound to status)
- Hours back on the support rota

Even a short chat is expensive at support wages, and address tickets often take more because of carrier constraints. Deflecting a few hundred a month is a real line item.

## When not to go fully self-serve

Keep humans in the loop for made-to-order SKUs that cannot change, for wholesale accounts, and for stores whose 3PL cannot accept a late line-item add. Self-serve is for the repetitive, low-risk majority. It does not replace the helpdesk. It replaces the copy-paste macros so the rest of the work becomes visible.

This is a support product that happens to be able to sell. Lead with the support.

## Common mistakes

Hiding the portal because a few people abused it. Cap the rules instead: same country, before fulfilment, valid token. Shutting the door sends the honest majority back to chat.

Letting agents override the cut-off “just this once” without a tag. That becomes the real policy. Customers learn to phone.

Measuring only add-on AOV from the portal. Address tickets disappearing is the win. If you do not count the queue, you will underfund the feature and it will rot.

Shipping SMS that says “your order is on its way” while the portal still accepts an address change. Bind both to fulfilment status so the customer is not told two truths.

Self-serve does not make support optional. It makes support available for the tickets that actually need a person.

### FAQ

**Won't people abuse self-serve edits?**

Some will try. Cap what can change (same country, before fulfilment, logged-in customer or a valid order-status token) and you keep the honest "I typed the postcode wrong" cases off the queue.

**Should every edit type be self-serve?**

No. Cancellations with refunds, wholesale orders, and fraud-flagged accounts can stay on tickets. Self-serve is for the repetitive, low-risk majority.

**Does this replace your helpdesk?**

It replaces the copy-paste macros. You still need humans for the rest. The point is that the rest becomes visible once the noise is gone.

**What is a typical ticket cost?**

Even a short chat is expensive at support wages, and address tickets often take more because of carrier constraints. Deflecting a few hundred a month is a real line item. Count hours, not only AOV from add-on items.

**Which edits should never need a ticket?**

Until fulfilment has started — shipping address inside the same country, delivery instructions, adding a SKU that is in stock, and swapping a variant of the same product when inventory allows. Those four are the volume.

**Where should customers find the self-serve door?**

Confirmation email, order status page, and account order history, with the same link and the same window. If the only path is "reply to this email", you will get replies.

## How to A/B Test Shopify Upsell Popups Without Lying to Yourself

URL: https://ninety9.dev/blog/ab-test-shopify-popups.html
Published: 2026-07-20 (updated 2026-09-21)
Category: CRO & Analytics · App: Monet • AI Popup Bundle Addons
Reading time: 7 minutes

How to A/B test Shopify upsell popups honestly. What to test, which metrics catch a false winner, and the sample size trap that fools most teams.

To A/B test a Shopify upsell popup honestly, change one variable at a time (the offered product, the trigger, or the frequency cap), measure attach rate of the offered SKU alongside checkout initiation rate, and refuse to call a winner until you have enough popup impressions to defend the result. Most popup tests fail not because the maths is hard but because the team measures the wrong number and stops too early.

Popup tests fail in a particular way: the overlay gets more clicks, AOV ticks up in the test group, checkout initiation quietly drops, and someone ships the winner. Two weeks later revenue is flat and nobody connects it. You have to measure the thing you wanted (they added the SKU) and the thing you cannot afford to lose (they still paid).

## What is an upsell popup A/B test?

An upsell popup A/B test splits your storefront traffic into two or more groups and shows each group a different version of the popup, or no popup at all. The groups run at the same time, on the same pages, so seasonality and traffic mix affect both equally. At the end, you compare a pre-agreed metric between groups and decide which version to keep.

The important word is *pre-agreed*. A test without a primary metric and a stopping rule written down in advance is not a test. It is a way to find a chart that agrees with you.

## Why popup tests are harder than page tests

A product page test sees every visitor to that page. A popup only fires when a trigger happens: an add-to-cart, a checkout click, or a mouse leaving the viewport. That means:

- Your real sample size is popup impressions, not sessions. A small store can do a week of traffic and only generate a few hundred impressions.
- The people who see the popup are already high-intent. Small changes in their behaviour move revenue a lot in both directions.
- The popup can shift behaviour downstream. A shopper who declines an offer may still checkout, or may close the tab. Only the second outcome shows up as harm, and it shows up in a different metric.

If you are still choosing between triggers, read [popup triggers ranked](/blog/popup-triggers-ranked.html) first. It is easier to test two SKUs on a trigger you trust than to test triggers and SKUs at once.

## What should you test in a Shopify popup?

Test one variable. Good tests:

- This complementary SKU vs that one, same trigger and same cap.
- Add-to-cart trigger vs exit-intent, same SKU.
- Session cap of one vs two, same SKU and trigger.
- Popup vs no popup (a holdout), everything else unchanged.

Bad tests:

- New design plus new SKU plus new trigger vs the old everything. If it wins, you do not know why. If it loses, you do not know what to keep.
- Button colour before the offer is even the right product.
- Copy tweaks on a popup that has never beaten a holdout.

## How to set up the test on Shopify

1. **Write the hypothesis in one sentence.** "Offering the 250g beans instead of the filter papers after a mug is added will raise attach rate without lowering checkout initiation."
2. **Pick the primary metric and the guardrail metric.** Primary is attach rate of the offered SKU from this trigger. Guardrail is add-to-cart-to-checkout rate. Write down the drop in the guardrail that will stop the test.
3. **Make sure you can measure both.** Your popup app should report impressions and adds per offer. If it does not, send `offer_shown` and `offer_added` as custom events through a web pixel (Settings → Customer events) so they land next to your checkout events.
4. **Split traffic by visitor, not by page view.** A shopper who sees variant A on the product page and variant B in the cart is in both groups and neither.
5. **Decide the run length before you start.** At least one full week. Two is safer. Do not look at the dashboard daily with the intention of stopping.
6. **Start the test and leave it alone.**

## Which metrics catch a false winner?

Track all of these for each variant:

| Metric | What it tells you |
|---|---|
| Offer impressions | Your real sample size |
| Offer adds (attach rate) | Whether the offer works |
| Checkout initiation rate | Whether the popup cost you buyers |
| Conversion to paid order | Whether the extra item survived to payment |
| Revenue per session | The number the business actually cares about |

If attach is up and checkout initiation is down, you did not find a better upsell. You found a speed bump. Revenue per session is the tiebreaker: a variant that lifts attach by a lot and lowers checkout initiation by a little may still win, but you have to see it in revenue, not infer it.

## The sample size trap

Say your store does 4,000 sessions a week, 8% of shoppers add to cart, and the popup fires on every add. That is roughly 320 impressions a week, or 160 per variant. If variant A attaches at 10% and variant B at 12%, the difference is 16 adds vs 19 adds. Three shoppers. That is not a result; that is a Tuesday.

Overlays fire on a subset of sessions. Your real n is impressions, not store sessions. Do not declare a 12% lift on 180 views. If you cannot power the test, do not run it. Make a merchandising decision, ship it to everyone, and watch revenue per session for two weeks. That is not rigorous, but it is honest about what it is.

## Common mistakes in popup A/B testing

- **Peeking.** Checking daily and stopping the moment one variant is ahead. The early lead is usually noise.
- **Measuring clicks.** Popup CTR is not attach. A click that opens a product page and abandons the cart is a loss dressed as engagement.
- **Ignoring frequency.** If the cap differs between variants, you are testing the cap, not the offer. Fix [frequency capping](/blog/popup-frequency-capping.html) first and hold it constant.
- **Testing during a promotion.** A sitewide sale changes what shoppers will accept in a popup. Test in a normal week.
- **Forgetting the holdout.** If you have never run popup vs no popup, every other test is optimising a guess.

## Guardrails: when to stop a test early

Hard-stop the test if checkout initiation drops beyond the threshold you set in advance. Pre-commitment is the only thing that stops a team from "giving it another day" on a losing overlay. A reasonable rule: if the guardrail metric falls by more than you agreed and the gap has held for three consecutive days with meaningful traffic, kill the variant.

Do not stop early for a *positive* result. Early wins are where noise lives. Finish the planned run.

## When not to A/B test a popup

Skip the test and use judgement when:

- You have fewer than a few hundred impressions per variant per week.
- The change is obviously right (fixing a broken dismiss button, removing a second product from a one-offer popup).
- You are still deciding whether the popup should exist. Run the holdout first.

Comparing your attach rate against what other stores see can help you decide whether a test is even worth running; see [upsell popup benchmarks](/blog/upsell-popup-benchmarks.html) for how to read those numbers without over-trusting them.

A/B testing is not a personality. It is a way to stop arguing. Use it when you have enough traffic to be wrong in public. Use judgement when you do not.

### FAQ

**Should I test popup vs no popup first?**

Yes, if you do not already know the overlay is net-positive. A holdout with no popup tells you whether the popup earns its place at all. Many stores skip this and spend months optimising a thing that should not exist.

**Can I use Shopify's reports for this?**

Not for overlay-level attach. Shopify's reports show order value and conversion, but not whether the popup did the work. You need the app's offer analytics or custom events (offer_shown, offer_added) sent through a web pixel under Settings → Customer events.

**How long should an upsell popup A/B test run?**

Through at least one full weekly cycle, so weekday and weekend traffic are both represented. Two weeks is a safer default for most stores. Stopping on a Tuesday because it "looks good" is how you ship noise.

**What if my store has low traffic?**

Run fewer tests and make each one bigger. Sequential changes with a long observation window beat a multi-variant experiment you cannot power. Watch revenue per session for two weeks after each change instead.

**What metrics should I track when testing a Shopify popup?**

Track offer impressions, offer adds (attach rate), checkout initiation rate, conversion to paid order, and revenue per session. Attach rate tells you whether the offer works; checkout initiation tells you whether it cost you buyers.

**Is a higher popup click-through rate a win?**

No. Clicks that do not add the product are still a no, they just took longer. Measure adds and downstream conversion, not clicks. A popup with a high click rate and a flat attach rate is usually confusing shoppers rather than selling to them.

## Upsell Popup Design That Converts — Layout, Type and the Add Button

URL: https://ninety9.dev/blog/upsell-popup-design.html
Published: 2026-07-19 (updated 2026-09-21)
Category: CRO & Analytics · App: Monet • AI Popup Bundle Addons
Reading time: 6 minutes

Shopify upsell popup design: match the theme, one image, one add button, a mobile bottom sheet, and an overlay that does not look spammy.

An upsell popup converts when it looks like part of the store rather than something laid on top of it: the theme's typeface, button style and corner radius, one product image cropped like your product pages, a single add button that matches add-to-cart, and a bottom-sheet layout on mobile. Design is not decoration here. It decides whether the shopper classifies the overlay as "part of this purchase" or "an ad".

People do not read popups. They recognise them. If the overlay looks like the rest of the store, it is a question. If it looks like a template from another brand, it is an interruption.

## What makes an upsell popup different from other popups

A newsletter popup asks for something. A discount popup gives something. An upsell popup asks the shopper to extend a decision they have just made: "You added the mug; do you also want the beans?" That framing only survives if the popup visibly belongs to the same purchase. The moment it looks like a separate piece of software, the shopper stops thinking about the beans and starts thinking about closing the window.

So the design job is narrow: make the overlay indistinguishable from the store, then get out of the way of the one decision.

## Steal the theme, do not restyle it

Same typeface, same button, same radius, same primary colour. The add button in the popup should be indistinguishable from add-to-cart on the product page. That continuity is the conversion feature.

Where to find the values on Shopify: Online Store → Themes → Customize → Theme settings. Most themes expose typography, colour schemes and button corner radius there. Copy those values into your popup app rather than picking "something close". Almost-the-same is the most recognisable tell of a third-party widget. The same principle applies to the [cart drawer](/blog/cart-drawer-brand-design.html), and if both surfaces match the theme the whole post-add flow feels like one thing.

## Hierarchy: what goes where

Top to bottom, in this order and with nothing else:

1. **Product image.** One, PDP-quality, the correct variant if you can resolve it.
2. **Name and price.** Price in the same format as the rest of the store, including compare-at if the offer is discounted.
3. **One line of why.** "Pairs with the mug in your cart." Not a description.
4. **Add.** The primary button, full width on mobile.
5. **Dismiss.** Text under the button ("No thanks") plus an X in the corner.

If a review stars row, a countdown, three trust badges and a coupon field are in the overlay, you have built a landing page. Landing pages do not belong in a modal. The [one-offer rule](/blog/one-offer-popup-rule.html) covers what to put in the popup; this is about how it should look once you have chosen.

## How to design the popup on Shopify, step by step

1. **Screenshot your product page** at desktop and at 390px wide. This is the reference.
2. **Pull four tokens** from the theme: body typeface, heading typeface, button radius, primary button colour.
3. **Set the popup width.** Roughly a third of the desktop viewport. Never full-screen.
4. **Use the product's own image**, cropped the same way as the product grid. No lifestyle collage, no stock photo of a happy person.
5. **Style the add button** as an exact copy of your add-to-cart button, including hover and focus states.
6. **Set the dismiss** as a text link under the add button *and* an X. Two exits, both obvious.
7. **Choose the dim.** A light overlay, enough to focus attention, not enough to hide the page.
8. **Test on a real phone.** Not the browser's device emulator. Thumb reach and the keyboard matter.

## Mobile is a sheet

From the bottom, thumb-reach add button, dismiss as text under the button as well as an X. Centred desktop-style modals on a 390px screen cover the cart confirmation and panic people. The bottom sheet leaves a strip of the page visible at the top, which tells the shopper where they are and that their add-to-cart worked.

| Element | Desktop | Mobile |
|---|---|---|
| Position | Centred modal | Bottom sheet |
| Width | About a third of the viewport | Full width |
| Image | Left or top, square crop | Top, square crop, smaller |
| Add button | Theme button size | Full width, within thumb reach |
| Dismiss | X plus text link | X plus full-width text link under Add |
| Dim | Light | Light, page strip visible above sheet |

## Motion

200 to 250ms ease. No bounce. No delay on the add button. Delayed CTAs are a dark pattern and they get reported as such. Entrance animation should move the overlay from where it came from (up from the bottom on mobile, a small fade-and-scale on desktop) so the shopper's eye follows it. Exit should be faster than entrance.

## Common design mistakes

- **A second colour palette.** The app's default blue on a store that never uses blue.
- **Lifestyle imagery.** A collage of the product in use is a marketing asset; the popup needs a catalogue crop.
- **Too many exits.** "Continue shopping", "View product", "See all" and an X. Each is a leak. Two exits: Add or No thanks.
- **Badges.** Trust badges and review stars belong on the product page. In a popup they read as trying too hard.
- **Countdowns.** A timer in an upsell overlay is a dark pattern, and it reads as one.
- **Restyling the add button.** A pill button in a popup on a store with square buttons looks like an advert for a different store.

## How to measure popup design

Design changes should be tested one at a time, holding the offer and the trigger constant, exactly as you would test the SKU. The metrics are the same: attach rate of the offered product, close rate, and checkout initiation after the popup. If a redesign lifts attach but shoppers who dismiss it then leave the site, the design is too aggressive. Also confirm that [frequency capping](/blog/popup-frequency-capping.html) did not change between versions, because a cap difference will swamp any design effect.

## The test

Screenshot the popup on a product page. Blur the copy. Could a designer from your team tell it belongs to this store from colour and type alone? If not, stop adding offers and fix the skin. A perfect offer in a foreign-looking overlay will still be closed as an ad.

### FAQ

**Should upsell popups be full-screen on mobile?**

No. A bottom sheet that leaves a sliver of the page visible is enough. Full-screen feels like a hijack. The shopper just added something; let them still see that they did, and keep the add button within thumb reach.

**How much copy should an upsell popup have?**

A title, a one-line reason such as "Pairs with the mug in your cart", and a price. If you need a paragraph to explain the product, you picked the wrong product for a popup; choose a lower-consideration attachment instead.

**Should the overlay behind the popup be dark?**

Use a light dim, not a blackout. The shopper should still recognise the page they were on. Continuity with the page is a large part of why they might say yes, and a heavy overlay breaks it.

**Do animations help popup conversion?**

A short ease-in of around 200 to 250 milliseconds is fine and helps the eye track where the overlay came from. Bounce effects, confetti and buttons that appear after a delay make overlays feel like malware and get them closed.

**What size should an upsell popup be on desktop?**

Large enough for one product image, name, price, one line of copy and two buttons, and no larger. A modal that fills the viewport reads as a takeover. Something in the region of a third of the screen width is usually plenty.

**Should the popup match my Shopify theme or stand out?**

Match the theme. Same typeface, same button style, same corner radius, same primary colour. A popup that stands out is classified as an advert and dismissed. A popup that looks like part of the store is read as a question about the purchase.

## Checkout-Initiation Popups on Shopify — The Last Offer Before Payment

URL: https://ninety9.dev/blog/checkout-initiation-popups.html
Published: 2026-07-18 (updated 2026-09-21)
Category: Cart & Checkout · App: Monet • AI Popup Bundle Addons
Reading time: 7 minutes

How to run a checkout-initiation upsell popup on Shopify without delaying checkout or losing buyers. Timing, offer choice, skip design and caps.

A checkout-initiation popup is an upsell that appears the moment a shopper clicks the checkout button, before they are sent to Shopify checkout. It works only when it is instant, offers one cart-aware product, and can be skipped in a single click. Anything slower or pushier taxes the shoppers who were about to pay.

The click on checkout is the most expensive click on the site. Intercepting it is allowed only if you are almost invisible: one relevant product, one add, one obvious skip, no delay. If any of those fail, you are standing in front of the till.

## What is a checkout-initiation popup?

It is the last of the three classic upsell popup triggers. Add-to-cart popups fire when an item enters the basket. Exit-intent popups fire when the shopper looks like they are leaving. A checkout-initiation popup fires on the storefront when the shopper clicks "Checkout" in the cart drawer or on the cart page, shows a single offer, and then forwards them to the normal Shopify checkout URL.

It lives entirely on your storefront. Shopify checkout itself is closed to this kind of injection, and the old checkout.liquid route is not an option in 2026. The intercept is a storefront event, nothing more.

## Why this trigger is different from the other two

At add-to-cart, the shopper is in browsing mode. At exit-intent, they are in leaving mode. At checkout initiation, they are in *paying* mode. That changes the rules:

- Their patience is at its lowest. A one-second spinner here costs more than a five-second one on a collection page.
- Their intent is at its highest. The people who see this popup were going to buy, so any lost checkout is a real order gone.
- They already know what they want. The offer must fit the basket, not open a new conversation.

This is why the checkout-initiation trigger tends to produce a modest attach rate from people who were already sold, rather than a dramatic lift. That is fine. Quiet, extra attach at zero cost to conversion is the whole point.

## Instant or not at all

When checkout is clicked, the overlay must already know what to show. Fetching an offer at click time is how you introduce a spinner between "I want to pay" and paying.

1. **Prefetch on cart open.** The moment the drawer or cart page renders, request the offer for the current basket.
2. **Cache it for the session.** If the cart changes, refresh quietly in the background.
3. **Fail open.** If the offer is missing, slow or errored, do nothing and go to checkout.
4. **Paint synchronously on click.** The overlay should appear in the same frame as the click, with the image already decoded.

## What to offer at checkout initiation

Something small, complementary, and easy to evaluate without a product page: a matching accessory, protection, a consumable refill. Not a new hero product. Not a subscription pitch that needs a paragraph. The [one-offer rule](/blog/one-offer-popup-rule.html) applies harder here than anywhere else.

Two rules on price:

- If the cart is already above your free-shipping threshold, do not offer more cheap items "to help". They are trying to leave.
- Do not lead with a discount. A shopper who learns that clicking checkout unlocks a coupon will click checkout to unlock a coupon.

A quick worked example: a shopper has a $48 cast-iron pan in the cart and clicks checkout. A $9 chainmail scrubber for that pan is a reasonable offer. A $60 Dutch oven is not, and a "10% off your order" banner is a coupon interstitial with a product photo.

## Skip must be the easy action

A clear "No thanks, continue to checkout" button, not a tiny X, not a five-second lock, not a second overlay after the first. The people who skip were going to pay. Let them.

Design the skip as a full-width secondary button directly under the add button, with the same tap target size. On mobile, both buttons should be reachable by thumb. If the shopper has to hunt for the way out, you have built a hostage screen, and hostage screens show up as a drop in checkout initiation rate.

## Do not repeat a no

If this SKU was already shown on add-to-cart or in the drawer and the shopper declined it, checkout initiation is not a new conversation. Frequency caps must span triggers, not just pages: one offer per session still applies here, and especially here. See [popup frequency capping](/blog/popup-frequency-capping.html) for the full rule set.

Reasonable behaviour:

| Situation | Show at checkout initiation? |
|---|---|
| No popup shown yet this session | Yes, one offer |
| Same SKU declined earlier | No |
| Different SKU declined earlier, new cart contents | Maybe, if the new offer fits the new basket |
| Offered SKU already in cart | Never |

## Common mistakes

- **Timers and countdowns.** A clock on a checkout intercept is a dark pattern and reads as one.
- **Required choices.** "Add" and "No thanks" are the only two options. A radio group of three protection tiers is a form, not an offer.
- **Second-guessing the shopper.** "Are you sure you don't want…" after a skip is a second popup. Do not.
- **Generic discounts.** Covered above; they train the behaviour you least want.
- **Fetching at click.** If you cannot prefetch, do not run this trigger.

## How to measure a checkout-initiation popup

Track four numbers, split by whether the popup was shown:

1. Checkout initiation rate (checkout clicks divided by carts with items).
2. Checkout completion rate (paid orders divided by checkout clicks).
3. Attach rate of the offered SKU.
4. Revenue per session.

The first two are the guardrails. If either drops after you switch the trigger on, switch it off and fix whatever made it slow or pushy before trying again. If you are unsure whether the drop is noise, [A/B test the popup](/blog/ab-test-shopify-popups.html) against a holdout rather than guessing.

## When not to use a checkout-initiation popup

- Your cart already runs an in-cart upsell and an add-to-cart popup. A third ask is too many.
- Your offer engine cannot prefetch or cannot fail open.
- Your average basket is complex (many line items, configured products, B2B). The shopper has done enough work; let them pay.
- Your traffic is too low to notice if checkout initiation drops. You will not be able to see the damage.

Done well, this is a quiet extra few points of attach rate from people who were already sold. Done poorly, it is the reason your checkout initiation rate dropped last Tuesday and nobody knew why.

### FAQ

**Will a checkout-initiation popup slow down checkout?**

It will if the popup waits on a slow network request. Prefetch the offer when the cart opens so the checkout click can paint immediately. If you cannot be instant, do not intercept checkout at all.

**Is a checkout popup allowed on Shopify?**

You cannot inject into Shopify checkout itself. You can intercept the click that starts checkout, on your storefront, then send the shopper on. Do not try to modify checkout.liquid in 2026; it is not the path.

**Should I offer a discount to stop shoppers leaving at checkout?**

Not at this moment. They have clicked pay. A sudden discount teaches them to click checkout to unlock a deal, and you will pay that margin on every future order. Offer a complementary SKU or nothing.

**What if the shopper already has a discount code?**

It is still fine to offer a product. Do not stack a second code. The overlay is for a SKU, not for a coupon war, and a second code at this moment makes the first one look like a mistake.

**What is the difference between a checkout-initiation popup and an exit-intent popup?**

A checkout-initiation popup fires when the shopper clicks the checkout button; they are leaving to pay. An exit-intent popup fires when the cursor heads for the tab bar; they are leaving without paying. The first sells an add-on, the second tries to rescue the sale.

**What should a checkout-initiation popup offer?**

Something small, complementary and easy to judge without a product page. A matching accessory, a consumable refill or protection for the item in the cart. Not a new hero product and not a subscription pitch.

## The One-Offer Popup Rule for Shopify Upsells

URL: https://ninety9.dev/blog/one-offer-popup-rule.html
Published: 2026-07-17 (updated 2026-09-21)
Category: Bundles & Upsells · App: Monet • AI Popup Bundle Addons
Reading time: 6 minutes

The one-offer popup rule for Shopify: sell a single product, pick it from the cart, and skip the second item that kills the add.

The one-offer popup rule says an upsell popup should sell exactly one product, with one add button and one way to say no. A popup has a few seconds and one job, and that job is not "present the catalogue". It is "do you want this, yes or no". Every extra product, link or option in the overlay turns that yes-or-no into a comparison, and comparison is where popup attach rates go to die.

## What is the one-offer popup rule?

It is a design constraint for upsell overlays on Shopify: one product, one price, one primary action, one dismiss. The product is chosen from what the shopper has just added or is looking at, not from a list of things you would like to sell more of.

The rule sounds obvious. It is broken constantly, usually in one of three ways: a second product card "in case they prefer that one", a "See all accessories" link, or a carousel because the merchandiser could not decide. Each of these feels like giving the shopper more choice. Each of them lowers the chance that they take the offer.

## Why two products convert worse than one

Two products in the overlay doubles the reading and halves the chance of a yes. Shoppers who would have added the first SKU start comparing. Comparison is browsing. Browsing is how overlays get closed.

There is a second, quieter cost. A popup with one product is a recommendation: "this goes with that". A popup with several is a shelf, and shoppers know a shelf is trying to sell them something. The recommendation frame is the reason a well-chosen popup can attach at all.

## How to choose the one product

### Write the one sentence of why

Before you ship an offer, write: "Because the cart contains X, we are offering Y." If X is empty (a generic sitewide popup), you do not have an upsell. You have an ad.

Because they added the mug, we are offering the 250g beans. Because they added the running shorts, we are offering the same-brand socks. Because they added a gift-boxed candle, we are offering wrap. Those sentences are offers. "Our bestsellers" is not.

### Use order history, not instinct

The most defensible source for Y is your own orders: which product most often appears alongside X in the same basket. The approach is laid out in [frequently bought together on Shopify](/blog/frequently-bought-together-shopify.html). A merchandiser's favourite is a fine tiebreaker between two real pairs; it is a poor starting point.

### Prefer low-consideration attachments

If the shopper would need to read a full product page to decide, the popup picked the wrong SKU. Pick something cheaper, simpler and more obviously related. A phone case is a popup offer. A second phone is not.

### Exclude the obvious

Never offer the product already in the cart, another variant of it, or anything out of stock. Most "the popup looks broken" reports are missing exclusions.

## How to build the popup on Shopify

1. **Set the trigger.** Add-to-cart is the natural home for a one-offer popup because the "because" sentence is freshest. Checkout initiation and exit-intent can work with the same rule.
2. **Map each anchor product to one offer.** For small catalogues, do this by hand. For larger ones, let your popup app pick from co-occurrence and review the top pairs.
3. **Design the overlay.** One image cropped like your product pages, product name, price, one line of why, an add button styled like your theme's add-to-cart, and a text dismiss. The full layout guidance is in [upsell popup design that converts](/blog/upsell-popup-design.html).
4. **Set the cap.** One show per session per offer. Never show it again once the offered product is in the cart.
5. **Launch at full price.** Decide on discounts only after you have attach data.

## The button

Primary: Add (and, if you must, the price on the button). Secondary: close. No "continue shopping" that opens a collection. No "view product" that dumps them on a product page and kills the cart they came from.

A useful comparison of what belongs in the overlay:

| Element | One-offer popup | Catalogue in disguise |
|---|---|---|
| Products | One | Two or more, or a carousel |
| Primary action | Add | Add, view, compare |
| Secondary action | Dismiss | "See all", "Shop the collection" |
| Copy | One line of why | Descriptions, reviews, badges |
| Outcome | Yes or no | Browsing |

## Discount last

Try the pair at full price. If attach rate is real, keep it. If it is near zero, a small bundle-style discount can be the difference, but it should be the last lever, not the first, because popup discounts become expected. Once shoppers learn the overlay carries a coupon, they wait for it, and your full-price attach rate goes to zero for good.

## Common mistakes

- **The "just in case" second card.** If you cannot choose, you have not ranked. Rank.
- **Linking out.** Any link that leaves the current page is a leak. The shopper came to buy the thing in the cart.
- **Sitewide offers.** A popup that shows the same product to everyone has no "because". It is a banner with a close button.
- **Offering a variant of the same product.** A different colour of the shirt they just added is not an upsell; it is a duplicate.
- **Two triggers, two offers.** If the add-to-cart popup and the checkout popup both fire in one session with different products, you have two offers per visit. Cap across triggers.

## How to measure the rule

Attach rate of *this* SKU from *this* trigger. Not popup CTR. Clicks that do not add are still a no, they just took longer.

If you want to know whether one offer beats two, do not guess. Run the two-card version against the one-card version as a proper split, holding SKU and trigger constant, and read the result the way [A/B testing Shopify popups](/blog/ab-test-shopify-popups.html) describes. Most stores that run the test never go back to two.

## When the rule bends

Two cases are compatible with the rule:

- **A fixed bundle.** Two items sold as one set, one price, one add button. The shopper still has one decision.
- **A variant choice for the offered product.** If the socks come in sizes, a size selector inside the single offer is fine. A second product is not.

Everything else is a catalogue. Keep it out of the overlay.

### FAQ

**What is the one-offer popup rule?**

It is the principle that an upsell popup should present exactly one product with one add button and one way to dismiss. The shopper answers a yes-or-no question instead of comparing options. It exists because comparison turns a quick decision into browsing, and browsing is how overlays get closed.

**Can I show a bundle of two items in one popup?**

Yes, if it is one offer with a single price and a single add button. Two separate products with two add buttons is two offers. The test is whether the shopper has one decision to make or two.

**What if I have several good attachment products?**

Rank them, show the winner in the popup, and keep the rest for the cart drawer or the product page. The popup is not your merchandising dump. Different surfaces can carry different offers without any single one becoming a catalogue.

**Should an upsell popup include a discount?**

Only if the pair does not attach at full price. Discounts in popups train shoppers to wait for the overlay before buying anything. Try the pair without a discount first and add one only if attach rate is near zero.

**Is a carousel of offers in a popup okay?**

No. Carousels in popups are how take rate dies, because they ask the shopper to browse at the exact moment you want a decision. If you feel you need a carousel, you have not chosen the offer yet.

**How do I choose which product to put in the popup?**

Start from what is in the cart. Use order history to find the product most often bought with it, exclude anything already in the basket, and check that you can write one sentence explaining the pairing: "Because the cart contains X, we are offering Y."

## Popup Frequency Capping on Shopify — How Often Is Too Often

URL: https://ninety9.dev/blog/popup-frequency-capping.html
Published: 2026-07-16 (updated 2026-09-21)
Category: CRO & Analytics · App: Monet • AI Popup Bundle Addons
Reading time: 7 minutes

Popup frequency capping for Shopify upsells. Session caps, dismiss cooldowns and cross-trigger rules that stop the same offer nagging shoppers twice.

The right frequency cap for a Shopify upsell popup is one impression per offer per session, with a cooldown of days (not minutes) after a shopper dismisses it, and no further showings once the offered product is in the cart. Showing the same popup twice in one visit costs more in closed tabs and reflexive dismissals than it earns in extra adds.

Popups do not fail because the offer is wrong. They fail because the store asked again. A shopper who closes an overlay has given you an answer. Showing the same overlay on the next collection page is not persistence. It is not listening.

## What is popup frequency capping?

Frequency capping is the set of rules that decide whether a popup is allowed to fire *this time*, given what this shopper has already seen. It covers four things:

1. **Session cap.** How many times an offer can appear in one visit.
2. **Dismiss cooldown.** How long to wait after a shopper closes the popup before it may appear again.
3. **Cross-trigger rules.** Whether an add-to-cart popup, an exit-intent popup and a checkout-initiation popup count against the same limit.
4. **Completion rules.** What happens after the shopper adds the offered product.

A popup without these rules is a script that fires whenever its trigger condition is true. That is not a strategy; it is a loop.

## Why frequency matters more than the offer

An overlay interrupts. The first interruption is a question. The second is a nag. By the third, the shopper is no longer reading the popup; they are hunting for the close button before it has finished animating. That reflex does not reset when you change the product in the overlay. It attaches to your store.

Interruptions compound into a brand feeling. Shoppers who have learnt to dismiss your popups also skim your cart drawer, distrust your urgency bar and ignore your post-purchase offer. Frequency capping protects every other conversion feature you run.

## The default cap

One impression per session, per offer. Not per page. Not per trigger. If they saw it after add-to-cart, they have seen it. Exit-intent does not get a second bite in the same visit.

| Event | Show the popup? |
|---|---|
| First trigger this session, offer never seen | Yes |
| Same offer shown earlier this session | No |
| Shopper dismissed it within the cooldown window | No |
| Offered product already in the cart | No |
| Different offer, cart contents have changed | Sometimes, and only once |

## How to set frequency caps on Shopify

Popup frequency lives in your popup app, not in Shopify admin. The steps are the same whichever app you use:

1. **Set the session cap to one per offer.** If the app only offers a per-page cap, that is a warning sign.
2. **Turn on dismiss memory.** Closed means no. Store it for the session immediately, and for a week or two for returning visitors.
3. **Make the cap span triggers.** If you run more than one trigger, check that the app treats "shown once this session" as a shared state. The ranking in [popup triggers ranked](/blog/popup-triggers-ranked.html) assumes you are choosing one primary trigger, not stacking three.
4. **Suppress after add.** If the offered product is in the cart, the offer is finished for that session.
5. **Persist across pages.** The cap must survive navigation. Test by triggering the popup, closing it, and browsing three more pages. If it comes back, the cap is not working.
6. **Check the "don't show again" control.** If your popup has one, it must do what it says. A checkbox that does nothing is worse than no checkbox.

## Honour dismiss

Closed means no. Store that for the session immediately, and for a week or two if they are a returning visitor. A shopper who says no to the beans on Monday has not changed their mind by Monday afternoon.

If your popup has no memory, every page view is a new interruption. That is the single most common cause of high close rates on otherwise sensible offers.

## When a second show is allowed

Rare cases:

- They added a *different* product and you have a *different* offer that still makes sense for the new basket.
- They came back days later and the campaign or offer changed.
- They completed a purchase and you are in post-purchase, which is a different surface with its own rules.

A second show of the *same* SKU in the *same* session is not one of the cases. Neither is "they scrolled past it too quickly".

## After a take

If they added the offered product, the popup's job is over. Kill it for the session and for that SKU. Showing "add this" for something already in the cart is how overlays start to look broken, and a broken-looking overlay makes shoppers doubt the cart total.

## Common frequency mistakes

- **Per-page caps.** "Once per page" on a ten-page session is ten popups.
- **Independent triggers.** Add-to-cart, exit-intent and checkout-initiation each with their own cap of one is three popups per visit. [Checkout-initiation popups](/blog/checkout-initiation-popups.html) in particular should be suppressed if any other offer has already shown.
- **Short cooldowns.** A 30-minute cooldown after dismiss is a per-session cap with extra steps.
- **Resetting on cart change.** Adding a second item is not a reason to re-show an offer the shopper already declined.
- **Firing exit-intent on every mouse-out.** Exit-intent overlays need the same memory as everything else; see [exit-intent popups on Shopify](/blog/exit-intent-popups-shopify.html) for the specifics.

## How to measure whether you are showing too often

Say a store shows an offer up to three times per session. Attach rate reads 4% of sessions, close rate 70%. It moves to one show per session: attach reads 3.5%, close rate drops to 40%, and add-to-cart rate for the session after a dismiss rises. The store lost a fraction of a point of attach and gained a cart that shoppers stopped fleeing. That is a trade you take.

The three numbers to watch:

1. **Take rate** per impression and per session.
2. **Close rate**, and whether it climbs over the session.
3. **Behaviour after dismiss**: do shoppers keep adding, or do they leave?

If close rate climbs while take rate falls, you are showing it too often. If you are not sure whether a change in cap helped, run one cap against the other as a proper split for a full week.

## When not to cap at all

Almost never. The exception is a genuinely one-time popup that only fires on a single event that cannot recur in the session (a first-add welcome offer, for instance). Even then, dismiss memory across visits still applies.

Frequency capping is not a setting you turn on at the end. It is the product. An offer shown once at the right moment will beat an offer shown four times at whatever moment the script fired.

### FAQ

**What is popup frequency capping?**

Frequency capping is a limit on how many times a popup can appear to the same shopper within a period, such as once per session or once every 14 days after a dismiss. It stops the same overlay from firing on every page view and turning a useful offer into an interruption.

**Won't I miss conversions if I only show the popup once?**

You will miss some. You will also miss the conversions you lose when shoppers start treating every overlay as an enemy and close it by reflex. Net, one well-timed show beats three, and you can verify that with a two-week test.

**How should frequency caps work for returning visitors?**

Cap per session, and add a longer cooldown after a dismiss; 7 to 14 days is a reasonable starting point. Returning visitors who already said no are not a new audience. Store the dismiss in a cookie or local storage so it survives the visit.

**Should checkout-initiation popups have a different cap?**

They can share the session cap. If a shopper already saw an add-to-cart offer, do not also hit them at checkout start. One offer per visit, regardless of which trigger fired first.

**How do I test whether I am showing popups too often?**

Track take rate, add-to-cart rate after a dismiss, and popup-close rate. If close rate climbs while take rate falls, you are showing it too often. Compare a one-per-session cap against your current setting over a full weekly cycle.

**Does Shopify have a built-in popup frequency setting?**

Not for third-party upsell popups. Frequency rules live in the popup app you use, so check its settings for per-session caps, dismiss cooldowns and cross-trigger behaviour before you install it. If an app has no dismiss memory, treat that as a reason not to use it.

## Cart Goals for Shopify Subscription Products

URL: https://ninety9.dev/blog/cart-goals-for-subscriptions.html
Published: 2026-07-15 (updated 2026-09-21)
Category: Shipping & Fulfilment · App: Goalify: Free Shipping Bar PRO
Reading time: 8 minutes

How to run a free-shipping or free-gift cart goal when Shopify carts contain subscriptions, prepaid plans or a mix of one-time and recurring items.

A cart goal on a subscription cart should count only what the shopper is charged today — the first-order price of each selling plan plus any one-time items — and compare that single total to one threshold. Do not total list prices, do not total the lifetime value of the plan, and do not split subscription and one-time items into separate bars. If your policy already ships subscribers free, the bar should say so and either move to a second goal or hide.

## What is a cart goal on a subscription cart?

A cart goal is a threshold the shopper can reach by adding to the basket — free shipping over $50, a free gift over $80, gift wrap included over $70 — shown as a progress bar with a remaining amount. A subscription cart is any cart where at least one line uses a Shopify selling plan: subscribe-and-save, a prepaid three- or six-month plan, or a recurring bundle.

The complication is that a subscription line has more than one "price". There is the product's list price, the discounted price the subscriber pays today, the amount charged upfront on a prepaid plan, and the notional value of the whole relationship. Only one of those matches the checkout total, and the bar has to use that one.

## Why subscription carts break naive progress bars

A $30/month coffee plan looks like a $30 cart, or like a $360 cart, depending on whether the app reads the selling plan or the product price. Both mistakes produce a remaining amount that does not match checkout, and a mismatch is the fastest way to make a shopper distrust the bar.

The three usual failures:

- **List price instead of selling-plan price.** The subscriber gets 15% off, the bar does not know, and it shows them further from the goal than they are — or closer, if the discount runs the other way. Either way the shipping line at checkout surprises them.
- **Prepaid treated as one big cart.** A three-month prepaid plan charged upfront clears almost any shipping threshold, but it is still one box today. Counting it toward a gift in this order is fine; implying three boxes of free postage is not.
- **Ignoring the subscriber shipping policy.** Many stores ship subscriptions free by default. A bar that still says "$22 away from free shipping" on those carts is wrong, and a bar that permanently says "$0 away" is dead chrome.

## This shipment, not this relationship

Free shipping is about the box leaving today. A 12-month prepaid that ships monthly is not twelve boxes of postage credit. A subscribe-and-save item that charges $28 today is a $28 line, even if the merchant thinks in lifetime value.

If your goal is "free shipping over $50", a subscriber at $28 is $22 away — unless your policy actually ships subscribers free, in which case the bar should say that and stop pretending they need $22.

## How to set up subscription-aware cart goals on Shopify

1. **Write down the real shipping rules.** Open Settings → Shipping and delivery and note whether subscription products sit in their own shipping profile with a free rate, or share the general profile with a price-based free-shipping condition. The bar must mirror whichever is true.
2. **Define the today-total.** Use the cart subtotal as Shopify shows it: selling-plan price for subscription lines, full price for one-time lines, after any discount code, before shipping and tax. If your bar app calculates its own total, confirm it reads the selling-plan allocation rather than the product price.
3. **Pick one threshold per market.** A subscription store selling in three currencies needs three thresholds and three sentences, not a converted dollar figure. The threshold logic is the same as for any bar; the [free shipping progress bar guide](/blog/free-shipping-progress-bar-guide.html) covers it.
4. **Decide what happens when subscribers already qualify.** Either show a second goal (a one-time add-on or gift that ships in this box) or hide the bar for that cart. Never show a remaining amount for something they already have.
5. **Write the three copy states.** Far from goal, in progress, unlocked — and, for subscriber carts that start unlocked, a version that opens with the confirmation and moves straight to the second goal.
6. **Test the ugly cart before launch.** The checklist is at the end of this post.

## Mixed carts: one remaining amount

One remaining amount. Always. A shopper with a $28 subscription and a $20 one-time bag of beans has a $48 today-total. If the threshold is $50, they are $2 away. Two bars ("subscription goal" and "one-time goal") is how you lose the add.

If your policy is "subscribers always ship free", the mixed cart is already unlocked. Offer a gift or a one-time extra as the second goal, or hide the bar. The mechanics of running two goals in sequence are covered in [stacked cart goals](/blog/stacked-cart-goals.html).

### Worked example

Say your threshold is $50 and your coffee subscription lists at $32 with 15% off for subscribers, so the subscriber pays $27.20 today.

| Cart | Charged today | Bar says |
|---|---|---|
| Subscription only | $27.20 | "You're $22.80 from free shipping" |
| Subscription + $20 one-time bag | $47.20 | "You're $2.80 from free shipping" |
| 3-month prepaid at $81.60 | $81.60 | "Free shipping unlocked — add a one-time extra to this box" |
| Subscription only, subscribers ship free | $27.20 | "Free shipping included — $12.80 from a free sample" |

Every number in that table comes from the checkout subtotal. If the bar and the checkout disagree by a cent, the bar is the one that is wrong.

## Gifts that arrive later

"Free mug on your third shipment" is a retention offer. It is not a cart goal. Putting it on the progress bar implies it is in *this* order. When it is not, you get a ticket.

If you want a goal that pulls AOV on order one, the reward has to ship with order one.

## Prepaid plans need a different goal

A prepaid plan usually clears the shipping threshold on its own, so a shipping goal has nothing left to do. Use a quantity-style or add-on goal instead: "Add a one-time extra to your first box and we'll include a free filter pack." The reward ships now, the copy is honest, and the bar still earns its space at the top of the cart.

## Common mistakes

- Reading product price instead of selling-plan price.
- Counting a prepaid plan as several shipments' worth of postage credit.
- Showing "$0 away" forever on subscriber carts instead of hiding or switching goals.
- Advertising a gift that ships on a later cycle as though it were in this box.
- Different rounding between the bar and the cart in non-dollar markets.
- Launching without testing a cart that mixes selling plans, one-time items and a discount code.

## How to measure whether it is working

Track three things: average order value on carts that contain a selling plan, before and after the bar; the share of subscription orders that also include a one-time line; and support contacts that mention shipping or a mismatch between cart and checkout. If the first two move up and the third stays flat, the bar is doing its job. If tickets rise, the total is wrong somewhere — fix the number before touching the copy.

## Test the ugly cart

Before you launch, add: a subscribe item, a prepaid plan, a one-time SKU, a discount code, and a market with a different currency. If the remaining amount still matches the checkout summary, the bar is safe. If not, fix the total — do not launch a pretty bar on a wrong number.

### FAQ

**Should the shipping bar include future subscription charges?**

No. The shopper is paying for this delivery. Future charges are not in this parcel and should not unlock this parcel's shipping. Count the first-order price of the selling plan plus any one-time lines, and nothing else.

**What if subscription items already qualify for free shipping?**

Then the bar's job on those carts is a second goal — a one-time add-on or gift that ships in the same box — or the bar should hide. A bar that says "$0 away" as a permanent state is dead chrome that trains shoppers to ignore it.

**Can I require a subscription to unlock free shipping?**

You can. Make that rule explicit in the bar ("Subscribe and this order ships free") so a one-time buyer is not staring at a number they cannot reach without changing selling plan. Hidden conditions are what generate support tickets.

**Do selling plans break progress bars?**

They do if the app totals list price instead of the current charge, or ignores selling plans entirely. Build a mixed cart with a subscription, a prepaid plan and a one-time product, then compare the bar to the checkout subtotal before you launch.

**Does the Shopify cart subtotal already reflect the subscription price?**

Yes. When a line uses a selling plan, the cart subtotal shows the price for this order, including any subscribe-and-save discount. A progress bar that reads the cart subtotal will be correct; one that multiplies product list price by quantity will not.

**How do I test a cart goal with subscription products?**

Build a cart that contains a subscription line, a prepaid plan, a one-time product, a discount code and a different market currency, then compare the bar's remaining amount to the checkout subtotal. If they match to the cent in every combination, the bar is safe to launch.

## The Free Shipping Progress Bar — Placement, Copy and the Psychology

URL: https://ninety9.dev/blog/free-shipping-progress-bar-guide.html
Published: 2026-07-14 (updated 2026-09-21)
Category: Shipping & Fulfilment · App: Goalify: Free Shipping Bar PRO
Reading time: 6 minutes

Why a Shopify free shipping progress bar beats a static policy: copy that converts, placement, and what to show when the goal is met.

A free shipping threshold is a number. A progress bar is what turns that number into behaviour.

The distinction matters because plenty of stores set a sensible threshold, state it in the footer and on a shipping policy page, and then wonder why it did not move average order value. The threshold was never the active ingredient. Visibility was.

## Why a bar beats a statement

Three well-documented effects are doing the work.

**The goal-gradient effect.** Motivation to complete a task increases as perceived distance to completion decreases. A shopper at 80% of a threshold is substantially more motivated than one at 30% — and neither is motivated at all if they cannot see where they stand.

**The endowed progress effect.** People are more likely to complete a task they have already started. A cart with anything in it has already started; the bar makes that visible.

**Loss framing.** "You're $14 away from free shipping" implicitly frames not adding as losing something. That is a stronger motivator than gaining the equivalent amount.

None of these operate on a static policy statement, because a policy is information and a bar is feedback.

## The copy that works

The pattern is consistent enough to be a rule.

| Copy | Why it works or does not |
|---|---|
| "Free shipping over $70" | Weakest. A rule about you, requiring the shopper to do arithmetic. |
| "Spend $70 for free shipping" | Better, still a target rather than a gap. |
| "You're $14 away from free shipping" | **Strong.** Second person, specific gap, immediate. |
| "Add $14 more to unlock free shipping" | **Strong.** Adds a verb and the word "unlock". |
| "Almost there! Free shipping soon" | Weak. No number, so no goal. |
| "🎉 You've unlocked free shipping!" | **Correct completion state.** Names the achievement. |

Four principles behind those:

1. **Second person.** "You" outperforms passive or store-centric phrasing.
2. **The gap, not the target.** The remaining amount is the number that matters.
3. **The shopper's currency**, converted and rounded properly. A gap expressed in a foreign currency is not a goal.
4. **A verb.** "Add", "unlock", "reach" all outperform a bare statement.

Read your bar copy out loud as if speaking to someone standing in front of you. If it sounds like a sign on a wall rather than a sentence you would say, rewrite it.

## Placement, in order of value

### 1. The cart drawer

The highest-value position by a wide margin. This is where the shopper evaluates their basket as a whole, and it is the only place where "add one more thing" is a one-click action rather than a navigation.

Put it at the very top, above the line items. Below them it reads as a footnote. Above them it reads as an instruction, and it frames everything beneath.

### 2. The cart page

Same logic, for stores that use a full cart page or for shoppers who navigate there directly.

### 3. The product page

Useful, with a caveat. It works well for stores where shoppers commonly add one item and head straight for checkout, because it introduces the goal before the cart even opens.

The caveat: do not show a bar at 0% to a shopper with an empty cart. An empty progress bar communicates distance, not opportunity. Either hide it until the cart has something in it, or show the threshold as a plain statement until there is progress to display.

### 4. A sticky site-wide bar

Reinforcement rather than a driver. It keeps the offer present while browsing, which has value, but the conversion moment happens in the cart. Treat it as a reminder, not as the main implementation.

## The completion state

Most implementations treat crossing the threshold as an end state — the bar fills, the message changes, done.

That is a missed opportunity, for two reasons.

**Celebration reinforces credibility.** A visible, slightly emphatic completion state teaches the shopper that goals in your store are real and reachable. That matters if you run more than one.

**The next goal should appear immediately.** A shopper who lands at $73 on a $70 threshold has, at that moment, no further reason to add anything. If a second tier exists — an order discount at $110, a free gift at $150 — it should appear the instant the first is met.

That is the difference between a threshold that captures one behaviour change and a mechanic that keeps working across the whole upper half of your order distribution.

## Design details that matter

- **Animate the fill**, briefly. A bar that jumps instantly is less noticeable than one that visibly moves. Two hundred milliseconds is plenty.
- **Announce changes to screen readers.** Use `aria-live="polite"` on the message so the update is spoken. This is a genuine accessibility requirement, not a nicety.
- **Respect reduced motion.** Users with `prefers-reduced-motion` set should get the state change without the animation.
- **Contrast the fill against the track.** A bar that is hard to read at a glance defeats the purpose.
- **Keep it one line on mobile.** Two-line bar copy on a phone eats vertical space in the cart drawer that line items need.
- **Never let it push the checkout button below the fold.** The bar supports the primary action; it does not compete with it.

A progress bar showing "$70 away from free shipping" to someone with an empty cart is one of the most common implementation mistakes. It frames your shipping policy as a large distance at the exact moment the shopper has invested nothing. Suppress it until there is at least one item.

## Localisation

The bar is one of the most-read strings on your site, which makes untranslated bar copy unusually damaging.

Three requirements:

- **Translated copy** for every language you sell in, not just your top two.
- **Converted and rounded amounts** in the shopper's presentment currency. A gap of "€12.83" reads as a machine output; "€13" reads as a goal.
- **Per-market thresholds.** The threshold behind the bar should be set from that market's own order distribution and shipping cost, not converted from your domestic number.

## What to measure

Not average order value on its own — a threshold raises AOV mechanically.

- **Share of orders above the threshold**, before and after. The direct behaviour measure.
- **Median order value**, which is more honest than the mean for this purpose.
- **Cart-to-checkout rate.** The guardrail. A bar that adds visual clutter without a well-set threshold can cost conversions.
- **Distance-at-checkout distribution.** Underused and very informative: how far from the threshold were the orders that did *not* cross it? If most sit just below, your threshold is slightly too high. If most are far below, it is much too high.

That last chart is the fastest diagnostic there is for a threshold that needs adjusting, and almost nobody looks at it.

### FAQ

**Does a free shipping progress bar actually increase average order value?**

Consistently, when the threshold is set correctly. The bar itself does not create the effect - the threshold does - but the bar is what makes the threshold visible and personal, and a threshold nobody can see their progress against behaves like a policy rather than a goal.

**Where should the free shipping bar be placed?**

The cart drawer produces the most value because that is where the shopper is evaluating their basket as a whole. The cart page is second, the product page third. A sticky site-wide bar is useful reinforcement but rarely the main driver.

**What should the progress bar say?**

The remaining amount in the shopper's currency, phrased in the second person. "You are $14 away from free shipping" is the base pattern. Avoid stating the threshold on its own, and avoid vague language like "almost there" without a number.

**Should the bar show on the product page too?**

It can help, particularly for stores where shoppers add a single item and go straight to checkout. Be careful that it does not appear before anything is in the cart, where a bar at zero percent is discouraging rather than motivating.

**What happens after the shopper reaches the goal?**

Two things should happen. The bar should visibly celebrate the crossing, which reinforces that goals in your store are real. And if you run stacked goals, the next tier should immediately appear so the mechanic keeps working above the first threshold.

## When Not to Offer Free Shipping on Shopify

URL: https://ninety9.dev/blog/when-not-to-offer-free-shipping.html
Published: 2026-07-14 (updated 2026-09-21)
Category: Shipping & Fulfilment · App: Goalify: Free Shipping Bar PRO
Reading time: 5 minutes

Skip a Shopify free shipping threshold when parcel cost eats the lift in AOV. Use paid rates, collection-level free shipping, or a gift goal instead.

Skip store-wide free shipping on Shopify when the average parcel costs more than you gain from a larger basket. Free shipping is a discount on fulfilment, not a law of ecommerce. A threshold that sits under the real cost of the box is a recurring discount you forgot to name.

The internet treats free shipping as mandatory. Your P&L does not.

## Free shipping is a discount on fulfilment

A threshold says: if the shopper adds enough, you will eat postage. That can pay for itself when the extra merchandise margin covers the label. It does not pay when the extra item is a cheap add-on, a return waiting to happen, or nothing at all — they were already going to buy, and you gifted the label.

Use a [threshold calculator](/blog/free-shipping-threshold-calculator.html) against your own parcel cost and AOV, not against a competitor's homepage slogan.

## When a threshold is the wrong product

Skip store-wide free shipping, or set it very high, when:

- Average parcel cost is a large share of AOV (heavy goods, bulky packaging, cold chain).
- You drop-ship internationally and postage is a surprise until checkout.
- Orders are frequently a single low-price item that will never reach a sane threshold.
- You already lose money on the first unit and make it up on repeat — then you are stacking two discounts.

In those stores a progress bar toward "free" trains people to add junk they will return, which is worse than paid shipping.

Furniture, food, and international drop-ship are the usual examples. The expectation of free postage is weaker than the cost. Many shoppers still prefer free shipping, especially in the US. Preference is not the same as profitable for you.

## How to tell if your threshold is a leak

Write down:

1. Average label cost for the orders that currently qualify as "free."
2. The extra merchandise those orders contain versus orders just under the line.
3. Margin on that extra merchandise after returns.

If (2) does not cover (1), the bar is a leak. A threshold set below the cost of the average parcel is not a goal.

Worked example: say your average parcel costs $8 to ship and your threshold is $40. A $42 order of one item was going to convert anyway. You just spent $8 to look generous. If shoppers typically add a $12 accessory at 40% margin to cross the line, the extra $4.80 does not cover the label. Raise the threshold, or stop calling it free.

## What to run instead

**Honest paid rates** plus a delivery date. "Arrives Thursday · $6.50" converts better than a fake free that appears as $8.00 at checkout.

**Collection-level free shipping.** The light, high-margin line can carry a bar. The heavy line cannot. Two policies beat one lie. A store-wide bar that excludes half the SKUs in the small print is how you earn a ticket at checkout.

**A gift goal, not a postage goal.** If you want the psychology of a threshold without giving away fulfilment, unlock a sample, wrap, or accessory. You still get the "I'm $9 away" behaviour. You do not pretend the carrier is free. [Gift wrap as a cart goal](/blog/gift-wrap-as-a-cart-goal.html) is one version of this.

If you still want a bar, the [progress bar guide](/blog/free-shipping-progress-bar-guide.html) applies — just point it at a gift, not at postage.

## If you already promised it

Do not rip the bar out this afternoon. Raise the threshold toward a number that clears parcel cost plus a margin of safety, grandfather the old number in ads until they expire, and move the bar copy to remaining amount so the new number still feels like a task.

Do not advertise a threshold you do not honour. That is a policy problem, not a cart-app problem.

## Collection-level and product-level exceptions

You can — and should — offer free shipping only on some products if the rest of the catalogue cannot absorb postage. Put those SKUs in a collection, state the promise on that collection and those PDPs, and keep paid rates on the heavy line.

Pickup, local delivery, and made-to-order are also exceptions. A bar toward "free shipping" on a made-to-order piece that ships in a crate is the wrong product. Show a delivery estimate and a paid rate.

## What to put in the cart instead

A delivery estimate, a clear paid rate, and if you still want a goal, a free gift or a quantity break that does not pretend postage is free. Shoppers can do maths. They cannot do a surprise $8 at checkout after a header that said free.

Free shipping is a campaign you can choose. It is not a feature of Shopify.

If you run Markets, do this maths per market. A threshold that works on a domestic letter-box SKU will not work on a cross-border crate. Publish the rule that market can keep, and keep paid rates honest everywhere else.

### FAQ

**Doesn't everyone expect free shipping?**

Many shoppers prefer it, especially in the US. That is not the same as "it is profitable for you". If your category is furniture, food, or international drop-ship, the expectation is weaker than the cost.

**Can I offer free shipping only on some products?**

Yes, and you should if the rest of the catalogue cannot absorb postage. A collection-level promise is more honest than a store-wide bar that excludes half the SKUs in the small print.

**What do I put in the cart instead of a shipping bar?**

A delivery estimate, a clear paid rate, and if you still want a goal, a free gift or a quantity break that does not pretend postage is free.

**Is "free shipping" in ads a problem if I do not offer it on the store?**

Yes. Do not advertise a threshold you do not honour. That is a policy problem, not a cart-app problem.

**How do I know my threshold is too low?**

If the threshold sits under the real cost of the average parcel, you are discounting fulfilment on orders that were going to convert anyway. Raise it until it clears parcel cost plus a margin of safety, or stop calling postage free.

**What if I already promised free shipping in live ads?**

Do not rip the bar out this afternoon. Raise the threshold toward a number that clears cost, grandfather the old number in ads until they expire, and keep remaining-amount copy so the new number still feels like a task.

## Where to Put a Free Shipping Progress Bar on Shopify

URL: https://ninety9.dev/blog/where-to-put-a-progress-bar.html
Published: 2026-07-13 (updated 2026-09-21)
Category: Shipping & Fulfilment · App: Goalify: Free Shipping Bar PRO
Reading time: 5 minutes

Put a Shopify free shipping progress bar at the top of the cart first. Add a product-page preview only if it shares the cart's remaining amount.

Put a Shopify free shipping progress bar in the cart first — top of the drawer or top of `/cart`. That is the moment the remaining amount is real and the shopper is deciding whether to add one more item. Add a product-page preview only if it shares the same number. A bar the shopper cannot see at that moment is a settings page, not a conversion feature.

Start in the cart. Add other surfaces only if they share the same remaining amount.

## What a free shipping progress bar is

A progress bar is a live remaining-amount line toward a threshold you actually honour: free shipping, a gift, or another cart goal. It is not a static header slogan. The [free shipping progress bar guide](/blog/free-shipping-progress-bar-guide.html) covers copy and threshold maths. This post is where the bar sits.

If you only have time for one placement, this is it: visible when the basket is open.

## The cart comes first

In a drawer, the bar goes at the very top, above line items. In a cart page, the same: full width, first. This is the moment of highest intent and the moment the remaining amount is real.

Do not hide it under an upsell or inside a shipping accordion. The bar is the reason they might add another item. The line items are what they already chose.

If you use a drawer and a cart page, both must use the same calculator. [Stacked cart goals](/blog/stacked-cart-goals.html) make this harder — one goal, one number.

## Product page as a preview

A slim bar on the product page is useful when it answers "if I add this, do I get free shipping?" That requires either:

- Showing remaining *without* the current item, clearly labelled, or
- Showing remaining *with* the current item, clearly labelled as a preview.

An unlabelled number that assumes they have added something they have not is how you get angry emails and a support macro.

Good: "If you add this, you'll be $8 away." Bad: a silent $8 that ignores the fact the tee is not in the cart yet.

Collection pages can carry a slim bar if you must. They should still use the same remaining amount, without pretending a product on the grid is already in the basket.

## Header bars

A header announcement works for a campaign ("Free shipping over $50 this weekend") and poorly as a forever element. Permanent header bars become wallpaper. Wallpaper does not move AOV.

If you use one:

- Show it on collection and product during a promotion
- Hide it on cart and checkout so you do not show the same message twice
- Hide it on blog posts, policy pages and account pages, where it has nothing to do

Sticky chrome that follows the shopper into "About us" is nagging. Shoppers learn to ignore chrome.

[Bar copy](/blog/free-shipping-bar-copy.html) still has to name a real remaining amount. A header that says "free shipping" while the cart says $12 away is a desync.

## How to choose placement

| Surface | Role | Show when |
|---|---|---|
| Cart drawer / cart page | Primary | Always, if you have a threshold |
| Product page | Preview | If you can label whether the current item is included |
| Collection | Optional preview | Campaigns; same calculator |
| Header | Campaign chrome | Short promotions; hide on cart, checkout, content |
| Blog / policies / checkout | Never | Not a buying moment, or not your page |

Worked example: threshold is $50, cart is $41. Drawer says "$9 away." Product page for an $12 item says "If you add this, you unlock free shipping." Header is off except during the weekend campaign. Three views, one number.

## The desync problem

Two bars with two remaining amounts — because one includes discounts and one does not, or one is cached — will be noticed. Shoppers compare. When they do not match, they believe neither, and they will not add the extra item.

One calculator. Many views. That is the whole architecture.

Include the same discounts, gift cards and market-specific rates everywhere. If Markets change the threshold, the bar on that market's cart must change with it.

## When not to show a bar

Skip extra surfaces when you cannot keep the number honest, when the threshold is so high that remaining amount is noise, or when you should not be offering free shipping at all. Never run the bar on checkout — Shopify owns that page.

If the cart bar is missing, nothing else you do with placement matters. Fix that slot first.

Then measure items per order and the share of carts that cross the threshold, not clicks on the bar. A header that nobody can ignore is not a win if remaining amount in the cart is still wrong. One calculator, cart first, other surfaces only when they tell the same story.

### FAQ

**Should the bar be on every page?**

No. Cart, product, collection if you must. Not the blog, not the policy pages, not checkout (Shopify owns checkout).

**Can the product-page bar include the current item before it is added?**

Only if you make that obvious ("If you add this, you'll be $8 away"). A silent hypothetical remaining amount is a lie when they have not added it yet.

**Sticky header bars — good or bad?**

Good on collection and product during a shipping promotion. Bad as a permanent chrome element. Shoppers learn to ignore chrome.

**What if I use a cart page, not a drawer?**

Put the bar at the top of the cart page, full width, before line items. The same remaining-amount copy applies.

**Why do two bars show two different remaining amounts?**

Usually one includes discounts and the other does not, or one is cached. Shoppers compare. When the numbers do not match, they believe neither and they will not add the extra item. Use one calculator and many views.

**Does the bar belong on checkout?**

No. Shopify hosts checkout. A second bar there is either impossible or a script you should not add. Get the remaining amount right in the cart before they click checkout.

## Free Shipping Bar Copy — Write the Remaining Amount, Not the Rule

URL: https://ninety9.dev/blog/free-shipping-bar-copy.html
Published: 2026-07-12 (updated 2026-09-21)
Category: Shipping & Fulfilment · App: Goalify: Free Shipping Bar PRO
Reading time: 6 minutes

Why “You're $14 away” outperforms “Free shipping over $70”, the three copy states every Shopify progress bar needs, and the lines you should never write.

The best free shipping bar copy tells the shopper how much is left, in their currency, to the cent: "You're $14 away from free shipping." Stating the rule — "Free shipping over $70" — describes your policy and leaves the shopper to do the maths. Write three lines (far from goal, in progress, unlocked), use one number, and translate the structure for every market you sell in.

## What is free shipping bar copy?

Free shipping bar copy is the text inside a cart progress bar that tells the shopper where they stand against a shipping threshold. It has three jobs: state the goal when the cart is empty, state the remaining amount while the shopper is short of it, and confirm the reward once they reach it. Most stores write one sentence and leave it on screen for all three situations, which is why most bars read like a policy page.

## Why the remaining amount beats the rule

A free shipping threshold is a rule. A progress bar is a task. Shoppers complete tasks. They do not memorise rules.

That is why "Free shipping over $70" is weak copy even when the maths is perfect. It describes your policy. "You're $14 away from free shipping" describes *their* next move. The first sentence asks the shopper to check their subtotal, subtract, and decide. The second has done all of that for them and left only the decision.

## The three states

Write three lines, not one:

1. **Empty cart / far from goal.** "Free shipping at $70 — add $70 to get it." (Only here is the target useful, because remaining ≈ target.)
2. **In progress.** "You're $14 away from free shipping."
3. **Unlocked.** "Free shipping unlocked on this order."

If you have a second goal, the unlocked state becomes the setup for it: "Free shipping unlocked. $6 away from a free gift." How to sequence two goals without turning the bar into a to-do list is covered in [stacked cart goals](/blog/stacked-cart-goals.html).

## How to write the copy for your Shopify store

1. **Confirm the real threshold.** Open Settings → Shipping and delivery and read the price condition on your free shipping rate for each zone. The bar must quote the same number checkout will apply.
2. **Draft the three states** in your primary market's currency, using the remaining amount for state two.
3. **Add the second-goal line** if you run a gift or wrap goal, so the unlocked state has somewhere to go.
4. **Match currency and rounding.** Use the cart's subtotal after discount codes and the same decimal handling Shopify uses. If the cart shows €11.40, the bar shows €11.40.
5. **Reuse the same lines everywhere the bar appears** — cart drawer, cart page, product page preview. One copy deck, one calculator.
6. **Test four carts:** empty, one cent below the threshold, exactly on it, and well above it. Each should show a different, correct sentence.

## One number

Do not write "You're 18% away" or "Add 2 more items". Percentages hide the actual spend; item counts break as soon as prices differ. Money remaining is the only number that matches the checkout the shopper is about to see.

Match the currency and the rounding of the cart. If Shopify shows €11.40, the bar cannot show €12.

### Weak lines and their fixes

| Weak line | Why it fails | Stronger line |
|---|---|---|
| Free shipping over $70 | States the rule, not the task | You're $14 away from free shipping |
| You're 80% there | Hides the spend | You're $14 away from free shipping |
| Add 2 more items for free shipping | Breaks when prices differ | You're $14 away from free shipping |
| Free shipping! (at $56 subtotal) | False unlock | You're $14 away from free shipping |
| Free shipping over $70 (at $82 subtotal) | Still talking about the rule after it is met | Free shipping unlocked on this order |

The right-hand column is almost the same sentence five times. That is the point. The copy does not need variety; it needs to be true for the cart in front of the shopper.

## Markets

Every market needs its own threshold *and* its own sentence. Translating "You're $14 away" into a language that does not use that construction, or leaving the dollar sign on a kroner store, is how bars start to look like apps.

If you cannot staff translations, keep the structure and swap the currency. Structure travels. Slang does not. Per-market thresholds and copy are part of a wider job — see [Shopify Markets cart personalisation](/blog/shopify-markets-cart-personalization.html) for the rest of it.

## What not to say

- "Spend more to save on shipping" — lecture.
- "Hurry, almost there!" without a number — noise.
- "Free shipping" when they still have $40 to go — a false unlock.
- "Free shipping on orders over $70*" with an asterisk — if there are exclusions, the bar should not count excluded items, rather than footnote them.

## Common mistakes

- One sentence for all three states.
- A remaining amount that ignores discount codes, so it disagrees with the cart.
- Rounding up to a whole number when the cart shows cents.
- A brand voice so loud the number is the smallest thing on the bar.
- Different sentences in the drawer and on the product page. Placement is a separate decision, covered in [where to put a free shipping progress bar](/blog/where-to-put-a-progress-bar.html), but the copy must be identical across every placement.

## How to measure a copy change

Copy changes are cheap to test and slow to judge. Compare, over the same length of time before and after: the share of carts that end above the threshold, average order value for carts that saw the bar, and the number of support contacts that mention shipping cost. If your bar app or theme supports it, run the rule version against the remaining-amount version as a split test and let the threshold-crossing rate decide.

The bar has one job: tell them how much is left. Do that job in the fewest honest words.

### FAQ

**Should the bar show the target or the remaining amount?**

Remaining amount, always, until the goal is met. After that, show a confirmation ("Free shipping unlocked") plus the next goal if you have one. The target is only useful on an empty cart, where the remaining amount and the target are the same number.

**How precise should the remaining amount be?**

To the cent in the shopper's currency, using the same rounding as the cart. A bar that says "$12 away" when the cart says $11.40 left is a small lie with a large cost, because shoppers compare the two numbers.

**Can I add humour to free shipping bar copy?**

A little, if it is on-brand and the number stays first. Humour that hides the remaining amount is decoration, and decoration gets skipped. Test the plain version first so you know what the joke costs.

**Where does the bar go if copy is this important?**

Top of the cart, and optionally a slim bar on the product page that uses the same remaining-amount logic. Different copy in two places is how you get two numbers, and two numbers is how you get zero trust.

**What should a free shipping bar say when the cart is empty?**

Show the target, because the remaining amount equals the target: "Free shipping at $70 — add $70 to get it." This is the only state where the rule and the task are the same sentence. Once anything is in the cart, switch to the remaining amount.

**Should free shipping bar copy include urgency or a deadline?**

Only if the deadline is real, such as a weekend promotion with an end date. Generic urgency ("Hurry, almost there!") without a number adds noise and trains shoppers to ignore the bar. The remaining amount is already the motivating element.

## Gift Wrap as a Shopify Cart Goal — A Second Threshold That Does Not Cheapen Shipping

URL: https://ninety9.dev/blog/gift-wrap-as-a-cart-goal.html
Published: 2026-07-11 (updated 2026-09-21)
Category: Shipping & Fulfilment · App: Goalify: Free Shipping Bar PRO
Reading time: 7 minutes

Add gift wrapping as a second Shopify cart goal without competing with free shipping: pricing, seasonality and copy that converts.

Gift wrap works as a Shopify cart goal when it is the second threshold, not a rival to the first: free shipping unlocks, then a small further spend unlocks wrap included. Price the wrap so it looks like a finishing touch rather than a fee, name it plainly in the bar copy, and run it only in the weeks when people are actually buying gifts.

## What is a gift wrap cart goal?

A gift wrap cart goal is a progress-bar threshold where the reward is complimentary wrapping rather than free shipping or a free product. The shopper sees "$6 from gift wrap included", adds a small item, and the wrap line drops into the cart at no charge. It differs from gift wrap as an add-on, where the shopper pays for wrap as an optional line on any order.

Gift wrap is one of the few add-ons that makes the order feel more expensive in a good way. Used as a cart goal, it can also pull a basket over a small gap without touching your shipping policy. Used badly, it is a second progress bar fighting the first, and the shopper ignores both.

## Why a second threshold needs a different reward

Once free shipping is unlocked, the bar has nothing to say unless there is another goal. A second shipping-style discount would eat margin twice. Wrap is cheap to include, obviously valuable to a gift buyer, and does not change your fulfilment cost structure the way postage does. That makes it a natural second rung, particularly in the weeks when most carts are gifts anyway. The general pattern of running goals in sequence is covered in [stacked cart goals](/blog/stacked-cart-goals.html).

## The stacking rule

A progress bar can show more than one goal. It cannot show two incomplete goals of similar size without becoming noise.

The clean pattern:

1. Free shipping is the first goal, always.
2. Gift wrap included is the second goal, and it only lights up once shipping is met — or it is a small increment *above* the shipping threshold.

"$8 from free shipping, $11 from wrap" is two chores. "Free shipping unlocked — $6 from gift wrap included" is a treat on top of a win.

## How to set up a gift wrap goal on Shopify

1. **Create the wrap as a product.** In Products → Add product, create a gift wrap item with its own SKU so it appears on the pick list. Keep it out of collections and search if you do not want it browsed directly.
2. **Set the threshold.** Take your free shipping threshold and add a small, round increment — say $10 to $20 — so the wrap goal is reachable with one extra item.
3. **Configure the bar.** Goal one is free shipping; goal two is wrap included, shown only after goal one is met. Both goals must read the same cart subtotal.
4. **Write the copy.** Name the wrap: "$6 from gift wrap included." Not "a surprise", not "a bonus".
5. **Add the note field after the yes.** Once wrap is in the cart, show an optional gift message field. Not before.
6. **Schedule it.** Set start and end dates so the goal appears in gifting weeks and disappears afterwards.
7. **Check capacity.** Confirm with whoever packs orders that they can wrap at peak-week volume. If not, lower the ambition or skip the goal.

## Price it like a finishing touch

Wrap has to be cheap relative to the basket you want. On a $30 order, $5 wrap is 17%. That is a tax. On a $75 order, $2–3 wrap is a rounding error that feels generous when it is included.

If you cannot include wrap at a price that is small, do not make it a goal. Sell it as an optional line and leave the bar for shipping.

### Worked example

Say free shipping unlocks at $60 and wrapping costs you about $2 in materials and time.

| Cart subtotal | Bar says | Your cost |
|---|---|---|
| $48 | "You're $12 from free shipping" | — |
| $62 | "Free shipping unlocked — $13 from gift wrap included" | Postage |
| $76 | "Free shipping and gift wrap included on this order" | Postage + about $2 |

The shopper who moved from $48 to $76 added $28 of product to unlock roughly $2 of wrap plus postage you were already committed to at $60. That is the shape of a good second goal: a small reward that finishes the sale, not a second discount.

## Seasonality is the feature

Run wrap as a goal from mid-November through the first week of January, plus the week before Valentine's and Mother's Day if those matter to you. The rest of the year, hide it. A wrap goal in March trains people to ignore the bar.

Outside those windows, a free sample or a small accessory makes a better second goal; see [free gift with purchase strategy](/blog/free-gift-with-purchase-strategy.html) for how to pick one.

## Common mistakes

- Running wrap and shipping as two incomplete goals at the same time.
- Vague copy ("unlock a surprise") that does not tell the shopper what they get.
- A wrap price so high that the "included" version obviously costs you more than the extra spend earns.
- Asking for a gift message before the shopper has accepted wrap.
- Leaving the goal on in months when nobody is gifting.
- Forgetting to give the wrap a SKU, so the packer never sees it.

## When not to make gift wrap a goal

Skip it if your products are not gifted (consumables, replacement parts, industrial supplies), if your fulfilment is outsourced to a 3PL that does not offer wrapping, or if your free shipping threshold is already high enough that a further step is unrealistic for most carts. In those stores, a paid wrap add-on on the product page or in the cart is enough.

## How to measure it

Compare, for the weeks the goal is live against the same weeks without it: average order value, the share of carts that cross the wrap threshold after crossing the shipping threshold, and the number of wrapped orders your team actually processed. If wrapped orders climb but AOV does not, shoppers who were already above the threshold are simply collecting the wrap — fine in gifting season, but not a reason to run the goal year-round.

## Operations veto

If the warehouse cannot wrap in peak week, the marketing is a lie. Confirm capacity before you turn the goal on. A progress bar is a promise. Promises that break at fulfilment become tickets, not AOV.

### FAQ

**Should gift wrap be a product or a cart goal?**

If you want it on every order as an optional line, it can be a simple add-on. If you want it to pull the basket over a threshold, make it a goal on the progress bar — "$6 away from gift wrap included". Many stores do both: paid wrap as an add-on all year, included wrap as a goal in gifting season.

**Does gift wrap compete with free shipping?**

It does if both are incomplete at once. Stack wrap as a second goal after free shipping is earned, or run wrap only in gift-heavy months when shipping is already free above a low threshold. Two unfinished goals of similar size read as two chores.

**What about personalisation notes?**

Offer a note field once wrap is in the cart. Do not ask for a message before they have said yes to wrap — that is two commitments instead of one. Keep the field optional and short.

**Will a gift wrap goal slow fulfilment?**

Only if operations cannot do it. Do not sell wrap you cannot staff in week 50. A goal you fail in December costs more than it made in November, so confirm capacity before switching it on.

**How much should gift wrap cost when it is a cart goal?**

Small relative to the basket you want — a few dollars on an order of $70 or more. Because the wrap is included once the threshold is met, its normal price is the perceived value, and a $2–3 wrap feels generous when it arrives free. If wrapping costs you more than a few percent of the threshold, sell it as a paid add-on instead.

**Should the gift wrap goal run all year?**

No. Run it from mid-November to early January and around the gifting dates that matter to your catalogue, then hide it. A wrap goal in a month when nobody is gifting trains shoppers to ignore the bar entirely.

## Cross-Sell vs Upsell on the Shopify Product Page

URL: https://ninety9.dev/blog/cross-sell-vs-upsell-product-page.html
Published: 2026-07-10 (updated 2026-09-21)
Category: Bundles & Upsells · App: Addly: AI Bundles app & Upsell
Reading time: 7 minutes

Cross-sell vs upsell on the Shopify product page: the difference, where each belongs around the buy box, and when mixing both fails.

An upsell is a better version of the product the shopper is already looking at (larger size, higher tier, premium material); a cross-sell is a different product that pairs with it (the belt with the trousers). On a Shopify product page the upsell belongs inside the buy box as a choice, the cross-sell belongs under the add-to-cart button as an optional extra, and the two should never share a widget.

People use "upsell" to mean anything that makes the basket bigger. That sloppiness shows up on product pages as a single widget trying to sell a larger size, a matching accessory and a totally different product from another collection. That widget is not a strategy. It is a tray. Separate the jobs.

## What is an upsell?

The shopper already wants this job done. You are offering a better way to do it: more volume, a longer subscription, a premium material, a warranty that attaches to this item. The shopper leaves with one product, but a better or bigger one.

The UI is a choice *inside* the buy box. Plans, sizes, "upgrade to the kit". Not a second product card. If the shopper has to scroll past the add button to find the better version, the upsell is in the wrong place.

## What is a cross-sell?

The shopper wants this, and also might want that: the belt with the trousers, the beans with the mug, the case with the phone. The shopper leaves with two products.

The UI is an optional extra *under* add-to-cart. A checkbox or a single card. Not a swap of the thing they came for. The best cross-sells come from order history, which is the approach described in [frequently bought together on Shopify](/blog/frequently-bought-together-shopify.html).

## Upsell vs cross-sell at a glance

| | Upsell | Cross-sell |
|---|---|---|
| What changes | The item itself | The number of items |
| Shopper's question | "Which version?" | "Also this?" |
| Where on the page | Inside the buy box | Under add-to-cart |
| UI pattern | Variant, plan or tier selector | Single card or checkbox |
| Example | 500ml instead of 250ml | Beans with the mug |
| Best data source | Variant mix and margin | Order co-occurrence |

## Why the distinction matters for conversion

The two offers ask different questions at different moments. An upsell question ("which version?") is part of deciding to buy. A cross-sell question ("also this?") only makes sense once the shopper has decided. Put the cross-sell in the buy box and you delay the main decision. Put the upsell under add-to-cart and the shopper has already chosen the smaller size before they see the larger one.

The distinction also matters for margin. Upsells usually improve margin on the same order line. Cross-sells add revenue that carries its own margin, which may be lower. Treating them as one "AOV widget" hides the fact that one of them may be making you less money per click.

## How to set up each on a Shopify product page

### Upsell in the buy box

1. **Make the better version a variant or a plan.** If the 500ml is a separate product, consider merging it as a variant so it appears in the size selector.
2. **Label the difference in the option name.** "250ml" and "500ml (best value)" says more than "Small" and "Large".
3. **Show the price change inline.** The shopper should see what the upgrade costs without leaving the buy box.
4. **Keep it to one axis.** Size *or* tier *or* plan. If the product needs several, use the theme's option selectors, not a widget.

### Cross-sell under add-to-cart

1. **Pick one complementary product** from order history, excluding variants of the current product.
2. **Place it immediately below the add button**, as an optional card or a checkbox with a price.
3. **Write the one line of why.** "Most people add the beans." "Fits this frame."
4. **Do not push the buy button down.** If the cross-sell card makes the add button fall below the fold on a 390px screen, shrink the card or move it.

Placement on the product page is a topic of its own; [where to place bundles on the PDP](/blog/where-to-place-bundles-on-pdp.html) goes into the scroll-depth trade-offs.

## One widget cannot do both

A carousel titled "You may also like" that contains a larger size, a colourway and a random accessory is three strategies colliding. The larger size should have been a variant. The colourway is not an offer. The accessory might be a cross-sell if it is actually complementary.

Clean it until each block has one sentence of purpose. If you cannot write the sentence, delete the block.

## Common mistakes

- **Cross-sells styled as swaps.** A "Complete the look" card whose button replaces the cart line instead of adding to it.
- **Upsells as separate products.** The 500ml and 250ml as two listings, so the shopper never sees the choice.
- **Confusing add-ons with cross-sells.** An engraving or gift wrap is an add-on to this item, not a second product; the distinction is covered in [product add-ons vs bundles](/blog/product-addons-vs-bundles.html).
- **Ranking by clicks.** A cross-sell that gets clicked and never bought is a distraction with good metrics.
- **Repeating the offer.** Showing the same cross-sell on the product page, in a popup and in the cart in one session is three asks for one product.

## How to measure each

Measure upsells by the share of orders that take the higher variant or plan, and the margin difference per order. Measure cross-sells by attach rate (orders containing both products divided by orders containing the anchor) and the margin of the attached product. Do not measure either by clicks.

## If you only have one slot

Compute attached revenue × margin for the best upsell and the best cross-sell over the last 90 days. Ship the winner. Curiosity about the loser is how pages get noisy again.

A quick worked example: say the buy-box upsell to the 500ml adds $6 of margin on 10% of orders, and the accessory cross-sell adds $4 of margin on 12% of orders. Per 100 orders that is $60 against $48. The upsell wins the slot, even though the cross-sell has the higher take rate.

## When not to run either on the product page

- The product has no better version and no sensible pairing. A forced offer is worse than none.
- The page is already long and the add button sits deep on mobile.
- The cart drawer already carries the cross-sell. The cart can take the second job later; the product page does not have to, and [in-cart upsells](/blog/in-cart-upsells-that-convert.html) are often the better surface for it.

### FAQ

**What is the difference between a cross-sell and an upsell?**

An upsell offers a better or bigger version of the product the shopper is already considering, such as a larger size, a premium material or a longer plan. A cross-sell offers a different, complementary product that does a related job, such as a belt with trousers. Upsells change the item; cross-sells add one.

**Is a larger pack size an upsell or a quantity break?**

It is an upsell if it is a different SKU, such as 500ml instead of 250ml. It is a quantity break if it is two units of the same SKU at a lower unit price. They need different UI and different measurement, so do not treat them as the same offer.

**Should I upsell before the shopper has added to cart?**

Yes. That is the point of a buy-box upsell; the shopper is choosing which version to buy, so the choice belongs before the add button. After add-to-cart you are in cross-sell territory, which is served by the cart drawer, a popup or a post-purchase offer.

**Why do mixed upsell and cross-sell widgets convert poorly?**

Because they ask two questions at once: "Do you want a better version?" and "Do you want something else?" Shoppers skip widgets that feel like a second catalogue, and the larger-size option gets lost among unrelated accessories.

**Can AI choose between an upsell and a cross-sell?**

It can rank candidates within one type, for example choosing which accessory to show. Whether a slot is an upsell or a cross-sell is a merchandising decision about the page, and you should make it yourself rather than outsource it to a model.

**Where should a cross-sell go on a Shopify product page?**

Directly under the add-to-cart button, as a single optional card or a checkbox. It should never replace the product the shopper came for or push the buy button down the page. One cross-sell in that slot is plenty.

**How many upsells and cross-sells should a product page have?**

One upsell in the buy box and one cross-sell under add-to-cart at most. More than that and the page turns into a catalogue, which is what the collection page is for. The cart drawer can carry additional offers later.

## Where to Place Bundles on a Shopify Product Page

URL: https://ninety9.dev/blog/where-to-place-bundles-on-pdp.html
Published: 2026-07-09 (updated 2026-09-21)
Category: Bundles & Upsells · App: Addly: AI Bundles app & Upsell
Reading time: 5 minutes

Place a Shopify bundle in the buy box if the kit is the product, or under add-to-cart if it is an upgrade. Footer rows are discovery, not this purchase.

Place a Shopify bundle where the shopper is already deciding to buy: in the buy box if the kit is the product, or immediately under add-to-cart if it is an upgrade. A bundle the shopper does not see is a bundle you did not offer. Footer carousels convert like related products, because they are related products.

Most product pages bury the offer after the description, the size guide and two app blocks. That row is discovery. This purchase needs a slot in the first screen.

## Why placement is the offer

The kit does not fail because the discount is wrong. It fails because the shopper added the single SKU before they ever reached the widget. Placement is not decoration.

Decide the job first using [add-ons versus bundles](/blog/product-addons-vs-bundles.html). Then pick the slot that matches that job. Do not install a block "somewhere in the product template" and hope.

## Three jobs, three places

**The bundle is the product.** The shopper landed here to buy a set. The buy box is a bundle selector: choose the kit, choose the size, add to cart. A single-item option can exist as a secondary link, not as the default.

**The bundle is an upgrade.** The shopper landed on a single SKU. Under the add-to-cart button, one block: "Make it a set — save 12%." Still on the first screen on desktop. Still before reviews on mobile. Keep "Buy this item" as the default unless the set is genuinely the product.

**The bundle is discovery.** Someone might want a different kit entirely. That belongs in a collection or a "complete the look" after the decision is made — never as the only offer.

| Job | Slot | Default action |
|---|---|---|
| Kit is the product | Buy box selector | Add the set |
| Kit is an upgrade | First block under ATC | Add the single item; set is second |
| Different kit entirely | Collection / after decision | Browse |

The [product bundles guide](/blog/shopify-product-bundles-guide.html) is the structure. This table is the pixel.

## What above the fold actually means

On a 1440px desktop, the buy box and the first stretch under it. On a phone, whatever is visible before the first scroll. If your bundle widget is in a tab labelled "Bundles" next to "Reviews" and "Shipping", you have hidden it.

Apps that inject a block "somewhere in the product template" often land in the somewhere. Open Online Store → Themes → Customize, open a product template, and drag the block to the buy box or the first section under it.

On mobile, one screen is all you get before add-to-cart. A [cross-sell versus upsell](/blog/cross-sell-vs-upsell-product-page.html) row at the footer will not be seen in time.

## How to place the block in the theme editor

1. Open the product template you actually use for this SKU (you may have more than one).
2. Find the bundle app block or section.
3. Move it into the buy box if the kit is the product, or directly under the buy buttons if it is an upgrade.
4. Delete duplicate instances of the same kit lower on the page.
5. Preview desktop and a 390px phone. Confirm the offer is visible without opening Reviews.

If the kit needs ads, search and collections, give it its own product URL as well. The component PDP can still offer the kit as an upgrade. The kit still needs a URL if you want to advertise it.

## Do not double-place

Showing the same kit in the buy box and again in a carousel under the description does not increase take rate. It increases banner blindness. Pick the slot that matches the job. Delete the other.

Never show the same bundle in two places on one page. The second sighting feels like an ad.

## After they add

The cart can offer a *different* completion — a complementary SKU, a quantity break, a free-shipping nudge. It should not repeat the kit they just declined or just accepted. Repeating it is how offers start to feel like pop-ups that never close.

Do not rely on the cart as the first chance. Most shoppers who wanted the kit would have taken it on the product page if they had seen it.

Worked example: serum PDP. "Make it a routine" sits under add-to-cart with cleanser and moisturiser. The shopper adds serum only. The cart offers a travel size or a threshold gift, not the same routine they just skipped.

## How to measure placement

Compare take rate of the kit on the parent SKU before and after you move the block, plus parent add-to-cart rate. If the kit rises and the parent collapses, the selector replaced the simple buy. Put "Buy this item" back as the default. If nothing moves, the block is still below the fold on mobile — check the phone, not the theme editor's desktop iframe.

### FAQ

**Should a bundle have its own product page?**

If it is a kit you want to advertise, yes. The product page of a component can still offer the kit as an upgrade, but the kit needs a URL if you want it in ads, search and collections.

**Does a bundle selector hurt single-item conversion?**

It can, if it replaces the simple add-to-cart. Keep "Buy this item" as the default and "Make it a set" as the second action, not the other way around — unless the set is genuinely the product.

**What about mobile?**

On mobile, "above the fold" is one screen. Put the offer in the buy box or the first block under it. Anything that requires a scroll past reviews will not be seen before add-to-cart.

**Can I put bundles in the cart instead?**

Yes, as a second chance. Do not rely on the cart as the first chance. Most shoppers who wanted the kit would have taken it on the product page if they had seen it.

**Where is "above the fold" on a Shopify product page?**

On a typical desktop, the buy box and the first stretch under it. On a phone, whatever is visible before the first scroll. A tab labelled Bundles next to Reviews and Shipping is not above the fold.

**Should I show the same kit in the buy box and in a related-products row?**

No. The second sighting feels like an ad and trains banner blindness. Pick the slot that matches the job and delete the other.

## Variant-Level Volume Discounts — Clear Slow Shopify Stock Without a Sitewide Sale

URL: https://ninety9.dev/blog/variant-volume-discounts-clear-stock.html
Published: 2026-07-08 (updated 2026-09-21)
Category: Bundles & Upsells · App: Addly: AI Bundles app & Upsell
Reading time: 5 minutes

Put Shopify quantity breaks on slow variants so Navy / M can discount while Black / M stays full price. Clear stuck stock without a sitewide sale.

Variant-level volume discounts clear slow Shopify stock without a sitewide sale. You put a quantity break on the stuck SKU — Navy / M, not the whole product — so the colour that was going to sell at full price stays full price. Clearance is usually a blunt instrument. This is the sharp one.

A sitewide percentage off discounts the SKUs that were going to sell anyway. A variant-level break discounts only the ones that are stuck.

## What variant-level volume discounts are

A volume discount or quantity break is a lower unit price when the shopper takes more than one. Variant-level means the break is attached to a specific colour, size or material, not to every option on the product.

Navy / M can be "buy 2, save 10%" while Black / M stays full price. That is the whole idea.

It is not the same as a compare-at markdown on a single unit. A markdown says you will never restock this. A break says you would like them to take more than one. [Quantity breaks versus volume discounts](/blog/quantity-breaks-vs-volume-discounts.html) covers the naming. Here the targeting is the point.

## When this is the right tool

Use it when:

- One colourway or size is overstocked and the rest of the product is fine.
- The product is a consumable or a multi-buy category (socks, candles, supplements, basics) where taking two is reasonable.
- You would rather move units than run a sitewide percentage off.

Do not use it when the variant is simply mispriced, or when the product is a single-purchase item (a sofa, a laptop). A quantity break on a sofa is a joke.

If the variant is a dead colourway you will not reorder, markdown a single unit. If it is a size-curve problem you still intend to sell, use a break.

## How to present it

The shopper selects a variant. If that variant has a break, a short table appears: "Buy 2, save 10%. Buy 4, save 20%." If they switch to a variant without a break, the table disappears.

A table that stays on screen for variants it does not apply to is a lie. Lies in the buy box are expensive.

Put the table under the variant picker, not in a banner that claims the whole product is on a multi-buy. Shoppers understand clearance on a specific colour. They do not understand a price that changes for no visible reason.

## How to set it up on Shopify

1. Export inventory by variant. Mark SKUs that are overstocked relative to the rest of the product.
2. Choose a break only on those variants. Leave healthy variants alone.
3. Work the percentage backwards from landed cost so two units still sit above your margin floor.
4. Show the table only when the selected variant qualifies.
5. Do not also put those variants in a collection sale.

Worked example: Black / M sells through. Navy / M is stacked in the back. Offer Navy / M "2 for 10% off." Black never sees the table. You move Navy without teaching the market that the tee is on sale.

## Margin, not just sell-through

Work the break backwards from the landed cost of the stuck variant. If you can give 10% at two units and still sit above your floor, that is the offer. If you cannot, markdown a single unit instead — a quantity break that loses money faster is not merchandising.

Do not stack a collection sale on top. The whole point of targeting the variant is to *avoid* a second discount. Two discounts on the same line make margin unreadable.

Pair slow-moving variants with a [bundle](/blog/shopify-product-bundles-guide.html) or add-on only after the break exists. Discount stacking is how clearance becomes a loss.

## Inventory after it works

When a colourway starts moving, turn the break off. A quantity discount that outlives the overstock becomes the new regular price, and you will train your best customers to wait for it.

Review the list on a schedule — weekly in peak, monthly otherwise. Overstock is a state, not a personality trait of the SKU.

## When not to use it

Skip variant breaks when:

- You would never want two of the item in one order
- The "stuck" variant is actually the wrong price on unit one
- You cannot hide the table for variants that do not qualify
- You are about to run a sitewide sale anyway

Raising [average order value](/blog/how-to-increase-average-order-value-shopify.html) with a break only pays if the extra unit is still profitable. Move the stuck colour. Leave the hero alone.

Common mistakes: a product-level banner that claims every colour is 2-for-10 when only Navy qualifies; stacking a collection sale on the same line; leaving the break live after the overstock is gone. Each of those trains shoppers to distrust the buy box. The table should appear, apply, and disappear with the variant picker — nothing else.

### FAQ

**Will customers get angry that one colour is cheaper?**

Rarely, if the cheaper colour is clearly a specific variant and not a secret. Shoppers understand clearance. They do not understand a price that changes for no visible reason.

**Should I use a quantity break or a markdown?**

A markdown is for "we will never restock this." A quantity break is for "we would like you to take more than one." If the variant is a dead colourway you will not reorder, markdown it. If it is a size curve problem, use a break.

**Can I combine this with a collection sale?**

You can, and you probably should not. Two discounts on the same line make margin unreadable. Pick one mechanism per variant.

**Where do I show the offer?**

Under the variant picker, as a small table that updates when the shopper changes colour or size. Not in a banner that applies to the whole product.

**Does Shopify support quantity breaks per variant natively?**

Not as a first-class product-page table that appears only on the selected variant. Themes can show compare-at prices per variant. A break that changes with the picker usually needs an app or custom logic. Whatever you use, hide the table when the variant does not qualify.

**When should I turn the break off?**

When the colourway or size is no longer overstocked. A quantity discount that outlives the overstock becomes the new regular price, and you will train your best customers to wait for it.

## AI Product Offers on Shopify — Use Purchase History, Not a Guessing Engine

URL: https://ninety9.dev/blog/ai-offers-from-purchase-history.html
Published: 2026-07-07 (updated 2026-09-21)
Category: Bundles & Upsells · App: Addly: AI Bundles app & Upsell
Reading time: 6 minutes

Build Shopify AI product offers from real order history so the next SKU is complementary, not a second pair of the same item.

AI product offers on Shopify work when they are built from what people already bought together, then shown as the next most likely SKU at the moment the shopper is about to buy. Catalogue-similarity engines fail because they recommend more of what is already in the cart. Similar is not complementary.

"AI offers" is a vague promise. The useful version is narrow: look at paid orders, find real pairs, rank the ones that still fit this basket, and hide everything else.

## What AI product offers actually are

An AI product offer is a merchandising decision with a ranking layer on top. The decision is "which SKU completes this purchase." The ranking layer chooses which historically real pair to show *this* shopper, given what is already in the cart, the market they are in, and the margin you will accept.

That is different from a related-products carousel. Related products browse the catalogue. Completing the purchase asks one extra yes.

A [frequently bought together](/blog/frequently-bought-together-shopify.html) pair from order history is the foundation. A model becomes useful one layer up: ranking. Inventing pairs you have never sold is improvisation.

## Why catalogue similarity fails

A generic similarity model pointed at your catalogue will recommend another pair of running shoes to someone who just added running shoes, because they are similar. The shopper already chose shoes. The complementary SKU is socks, insoles, or a care kit — whatever actually appears on the same orders.

Category similarity also ignores inventory truth. It will happily surface a colourway you are trying not to attach to a hero, or a variant that is out of stock, because "close in embedding space" is not "in stock and allowed."

If your current widget keeps suggesting a second of the same thing, the source is wrong. Switch it to co-occurrence before you tune copy, colours or model parameters.

## How to build offers from Shopify purchase history

You do not need a foundation model to notice a pair. You need a query and a place to put the result.

1. Export or query orders that contain two or more line items. Single-item orders teach you nothing about pairs.
2. Count co-occurrence at the product or variant level. If ceramic mug often appears with 250g beans, that pair is an offer.
3. Set a minimum count you would defend to a merchandiser. A pair that happened twice is noise.
4. Exclude the parent, its other variants, anything already in the cart, out-of-stock SKUs, and your blacklist.
5. Let a model rank *inside* that set if you have one. Do not let it add candidates from outside the set.
6. Render one slot: one or two products, not a carousel of twelve.

Worked example: say the mug is in the cart. History says beans, a lid, and a tea tin have all co-occurred. Beans have the strongest pair rate and an acceptable margin. Show beans. Do not also show the lid and the tin on the same page in the same session.

## Guardrails that prevent the obvious failures

Before any model runs, exclude:

- The product already on the page
- Other variants of that product
- Anything already in the cart
- Out-of-stock SKUs
- SKUs you have blacklisted (clearance you do not want attached to full-price heroes, or vice versa)

If your AI offer still looks stupid, the exclusions are incomplete. Fix those before you tune the model.

Add two more rules once the obvious ones work. Do not attach a product the shopper already owns if you can see purchase history for a logged-in customer. Do not attach a product whose price dwarfs the parent (a $90 add-on on an $18 SKU is a new decision, not a completion).

## One slot, two products at most

The product page can support a single "complete this" block. Two products in that block is plenty. Twelve is a catalogue dump with nicer copy.

If the model returns a long tail of weak pairs, you do not need a carousel. You need a higher threshold: only show a pair that has actually occurred, at a rate you would defend to a merchandiser.

Use different jobs on different surfaces. On the product page, complete this product — the [add-on versus bundle](/blog/product-addons-vs-bundles.html) choice still applies. In the cart, complete this order with a complementary SKU they have not already declined. [In-cart upsells](/blog/in-cart-upsells-that-convert.html) fail when they repeat the PDP pair.

## How to measure the pair, not the click

Clicks on a recommendation are vanity. Attach rate and the margin of the attached SKU are the job. An AI that attaches a low-margin accessory at a higher rate is worse than a merchandiser who attaches a high-margin one less often.

Track, per parent SKU:

- Impression of the offer
- Attach (the extra SKU is in the paid order)
- Gross profit of the attached line after discount
- Whether the parent conversion rate moved

If attach rises and parent conversion falls, the widget is a detour. If attach rises and attached margin is below your floor, the ranking is optimising the wrong number.

## When not to turn AI on yet

Keep the AI off when:

- You do not have enough multi-item orders to beat a hand-picked list
- The catalogue is tiny and a merchandiser can name every pair in an afternoon
- You cannot exclude variants and cart contents yet
- You are still deciding which products are allowed to discount

In those cases, curate ten pairs, put them under add-to-cart, and revisit when co-occurrence is real. A guessing engine is not a substitute for data. A short, true list beats a confident model trained on the wrong thing.

### FAQ

**Do I need a lot of orders before AI offers work?**

You need enough co-occurrence. For a catalogue of a few hundred SKUs, a few thousand orders with two or more line items is usually enough to beat a manual merchandiser. Below that, curate the pairs yourself and keep the AI off. Empty history is not a reason to fall back to catalogue similarity.

**Can AI replace a merchandiser?**

It can replace the spreadsheet of "what goes with what" once the data exists. It cannot replace a decision about what you are willing to discount, or which products you refuse to attach to which. Margin rules and blacklists stay human.

**Why does my AI keep recommending the same product?**

Because the cart already contains something in that category and the model is doing category similarity. Switch the source to order co-occurrence and add an exclusion for the parent and its variants. If the same hero SKU still appears, raise the co-occurrence threshold.

**Should AI offers be on the product page or in the cart?**

Both, with different jobs. On the product page, complete this product. In the cart, complete this order. Do not show the same pair in both places in the same session. Repeating the declined offer trains shoppers to ignore the next one.

**Does Shopify have built-in AI product recommendations?**

Shopify can surface related products through the theme and some Search & Discovery features, but those are usually catalogue or collection based. They are not the same as pairing SKUs from your own paid orders. If you want frequently-bought-together from history, you still need a query against orders and a place to render the result.

**How do I stop AI from attaching clearance to a full-price hero?**

Blacklist it. Before any model ranks, exclude SKUs you do not want attached to heroes, and exclude heroes you do not want attached to clearance. This is a merchandising rule, not a prompt. If the pair has never sold together at a rate you would defend, do not show it.

## The Add-to-Cart Moment — Why It Is the Best Upsell Slot You Own

URL: https://ninety9.dev/blog/add-to-cart-popup-upsell.html
Published: 2026-07-07 (updated 2026-09-21)
Category: CRO & Analytics · App: Monet • AI Popup Bundle Addons
Reading time: 7 minutes

The instant after a shopper commits is the highest-intent moment in the session. Here is how to use it without breaking the flow you just earned.

There is one moment in an ecommerce session where the shopper has unambiguously committed and has not yet moved on to the next thing. It lasts about a second and a half, and it starts the instant they click "add to cart".

Most stores fill it with a small toast notification in the corner of the screen.

## Why this moment is different

Every upsell placement is a trade between attention and risk. The product page has attention but any offer there competes with the buy button. The checkout has commitment but you cannot touch it. The confirmation page has zero risk but the shopper is mentally finished.

The add-to-cart moment has an unusual combination:

- **Commitment has already happened.** The add is done. You cannot lose it.
- **Attention is at its peak.** The shopper just performed a deliberate action and is watching for the result.
- **The purchase frame is active.** They are in buying mode, not browsing mode, and the difference in receptiveness is large.
- **No friction has been added yet.** They have not entered an address or a card number, so an additional item costs them nothing procedurally.

That combination does not exist anywhere else in the session.

## Confirm first, then offer

The most important design rule, and the one that separates a popup that works from one that damages the funnel.

The shopper clicked a button and is waiting to find out what happened. If the first thing they see is an offer for a different product, their immediate question is "did my item get added?" — and you have replaced certainty with doubt at exactly the wrong instant.

The correct sequence:

1. **Confirm.** Show the item added — image, name, variant, quantity. Unambiguous.
2. **Then offer.** One complementary item, clearly secondary to the confirmation.
3. **Then two exits.** Continue shopping, and go to cart / checkout.

The confirmation is not a formality. It is what buys you the right to the rest of the modal.

Someone glancing at your popup for two seconds should be able to answer "did it work?" without reading. If the answer requires parsing an offer first, the layout is wrong.

## Choosing the offer

The same relevance rules that govern any cross-sell apply, with one addition: the offer must require *no new evaluation*.

The shopper has just finished deciding. Asking them to start a fresh decision — a different category, an unfamiliar product, a considered purchase — breaks the momentum you were trying to use.

What works:

- **A direct accessory.** Case, filter, refill, mount, strap. Obvious, cheap relative to the anchor, one-word justification.
- **A quantity upgrade on the same item.** "Add a second and save 10%." Zero new evaluation, and consistently the highest take rate of any offer here.
- **The completion item.** The third thing in a set where they now have two.
- **A consumable that pairs with it.** Coffee with a grinder, blades with a razor.

What does not:

- **An alternative to what they just added.** Reopens a closed decision.
- **Anything more than half the anchor price.** Becomes a second purchase decision, gets deferred.
- **A category they have not shown interest in.** The intent signal is about *this* product.
- **Multiple options.** Two choices halve the clarity. One offer, take it or leave it.

The price ratio is worth restating because it is the most reliable predictor: 15–40% of the anchor product's price is the zone where an accessory reads as obvious.

## Design specifics

- **One-click accept.** Accepting must add the item and update the cart with no further steps. Any additional step loses a large share of the people who said yes.
- **An obvious decline.** "No thanks" as visible text, not a grey X in a corner. A hidden dismiss control converts a helpful moment into a hostile one.
- **Never block the checkout path.** Both exits — continue shopping and go to checkout — must be visible without scrolling, on mobile.
- **Show the price and the saving.** If there is a discount for taking it now, state both the price and the amount saved.
- **Keep it small.** This is not a landing page. Confirmation, one product, two buttons.
- **Auto-dismiss is optional and risky.** A modal that vanishes mid-read is worse than one that waits.

## Frequency

Cap it. This is the difference between a tool and an irritation.

Reasonable defaults:

- **Once per session.** A shopper adding five items should see the offer once, not five times.
- **Never twice for the same anchor product.**
- **Suppress after a decline.** Someone who said no has answered the question.
- **Suppress in checkout.** Once they have started checkout, stop.

The failure mode here is well known to anyone who has shopped online: the store where every single add triggers a modal. Shoppers respond by adding fewer items, which is the exact opposite of the goal.

## Popup or cart drawer?

Both surfaces can carry this offer, and they behave differently.

| | Add-to-cart popup | Cart drawer upsell |
|---|---|---|
| Attention | Full, undivided | Shared with totals and checkout |
| Take rate per impression | Higher | Lower |
| Perceived intrusiveness | Higher | Lower |
| Risk to checkout flow | Small but real | Minimal |
| Best for | One high-value offer | Ongoing, ambient suggestion |

Most stores should run one, not both. Running both means the same shopper sees a related-product suggestion twice in ten seconds, which reads as pressure and tends to lower the take rate of each.

If you want to combine them, differentiate the jobs: popup for a quantity upgrade on the item just added, drawer for the threshold progress bar and a complementary accessory. Different offers, different purposes.

A modal that occupies the full screen on a phone and pushes the "go to cart" button below the fold is the single most common way this pattern goes wrong. Test on a small device with the keyboard closed and the browser chrome visible.

## Measuring it

Two fast metrics and two slow ones.

**Fast — tells you about relevance, within days:**

- **Take rate** — accepts ÷ impressions. If this is near zero, the offer is irrelevant and no amount of design will fix it.
- **Dismiss speed.** If most people close within a second, they are not reading it.

**Slow — tells you whether the slot is worth using, over weeks:**

- **Attach revenue per impression.** The commercial number.
- **Cart-to-checkout rate**, before and after. The guardrail.
- **Adds per session.** The subtle one. If shoppers add fewer items overall after you launch the popup, it is discouraging the behaviour you want, and the attach revenue is not compensating for the loss.

That last metric catches the frequency problem before your reviews do.

## A starting configuration

- Fires on add to cart, once per session, desktop and mobile.
- Confirmation block first, offer second, two exits third.
- Offer: one complementary item at 15–40% of the anchor price, drawn from real order-history pairings.
- Small discount for accepting immediately, in the 10–15% range.
- Suppressed after a decline, and suppressed entirely in checkout.

Then read the take rate after a week. If it is close to zero, the problem is the pairing, not the popup.

### FAQ

**Does an add-to-cart popup hurt conversion rate?**

It should not, because it appears after the shopper has already added the item. The risk is not losing the add but losing the checkout, which happens when the popup obscures the path forward, requires a decision to dismiss, or makes the shopper doubt whether their item was actually added.

**What is the difference between an add-to-cart popup and a cart drawer upsell?**

The popup is a single dedicated moment with one offer and the shopper's full attention. The cart drawer upsell sits alongside line items, totals and a checkout button, competing for attention. The popup converts better per impression, the drawer is less intrusive. Many stores run one or the other rather than both.

**What should the offer be?**

A complementary item priced well below the product just added, ideally between fifteen and forty percent of its price. It should require no new evaluation - an accessory, a consumable that pairs with it, a quantity upgrade on the same item.

**Should the popup appear on every add to cart?**

No. Cap it to once per session at most. A popup on every add is the fastest way to make a shopper stop adding items, and it converts a helpful moment into an obstacle.

**Is a popup better than expanding the cart drawer?**

For a single high-value offer, generally yes, because the popup has no competition for attention. For stores that want the offer to feel like part of the cart rather than an interruption, the drawer is safer. Test both against cart-to-checkout rate, not just against attach rate.

## Product Add-ons vs Bundles on Shopify — Pick the Offer That Fits the SKU

URL: https://ninety9.dev/blog/product-addons-vs-bundles.html
Published: 2026-07-06 (updated 2026-09-21)
Category: Bundles & Upsells · App: Addly: AI Bundles app & Upsell
Reading time: 5 minutes

Use Shopify product add-ons for small optional extras and bundles when the combination is the product. Do not stack both offers on the same page.

A Shopify add-on is an optional extra on a product the shopper already wants. A bundle is a new product made of several SKUs. Pick the structure that fits the offer. Mixing both on one page asks the shopper to solve two different problems at once, and most of them solve neither.

A bundle says "this is the product". An add-on says "this product, plus a small yes".

## What is an add-on versus a bundle

**Add-on:** a small, optional extra attached to a parent SKU. Gift wrap, a spare cable, an extended warranty. It would look silly as its own product page.

**Bundle:** a combination that is the point. A skincare routine, a desk kit, a "complete the look." You would be willing to give it its own URL, photos and inventory.

[Frequently bought together](/blog/frequently-bought-together-shopify.html) behaves like an add-on in the layout — take or leave the extra SKUs — even if you discount it like a bundle. Put it after the buy box, not instead of it.

## The test

Would you be willing to give the combination its own URL, its own photos and its own inventory? If yes, it is a bundle. If no — if the extra only makes sense attached to something else — it is an add-on.

Gift wrap is an add-on. A skincare routine of cleanser, serum and moisturiser is a bundle. A spare charging cable next to a lamp is an add-on. A "desk kit" of lamp, cable and bulb sold as one price is a bundle.

That test also tells you [where to place the bundle](/blog/where-to-place-bundles-on-pdp.html). If it is the product, it belongs in the buy box. If it is an upgrade, it belongs under add-to-cart.

## Why add-ons convert on the product page

The shopper has already chosen the parent. The remaining question is small. A checkbox is the right UI: low commitment, high clarity, no new product to evaluate.

That is also why add-ons fail when they look like products. A second product card with a price, a review stars row and a "learn more" link is a detour. Detours get skipped.

Discount add-ons rarely. The shopper already wants the parent. Discounting the extra trains them to wait for a deal on something they would have added at full price.

Place the checklist directly under the add-to-cart button. Footer carousels are for browsing. Add-ons are for this purchase.

## Why bundles belong in the catalogue

A bundle has a job the add-on does not: it can be found. It can rank. It can be advertised. It can have a margin structure you planned, rather than a last-second checkbox.

If buyers of A also take B more often than not, stop hiding B as an add-on and make A+B a product. You will sell it to people who never visited A's page.

The [Shopify product bundles guide](/blog/shopify-product-bundles-guide.html) covers kit structure and discount maths. The rule here is simpler: if the combination is the product, give it a URL.

## How to choose

| Question | Add-on | Bundle |
|---|---|---|
| Would this look silly as its own PDP? | Yes | No |
| Is the extra optional on a parent they already want? | Yes | The combination is the point |
| Do you need to advertise the set? | No | Yes |
| Discount? | Rarely | Planned kit price |
| UI | Checklist under ATC | Buy-box selector or "make it a set" |

Worked example: a lamp. Spare bulb and cable are add-ons — checkboxes under add-to-cart, full price. Lamp + bulb + cable as a desk kit is a bundle with its own photos and a kit price. Do not show the kit selector *and* the two checkboxes on the lamp page. Pick one extra question.

## Do not stack

The product page can carry one incremental offer besides the buy box. If you already have a bundle selector, do not also drop three add-on checkboxes. If you already have add-ons, do not also run a frequently-bought-together strip that repeats the same SKUs.

Two offer types compete for the same increment and both convert worse. Average order value goes up when the page asks one extra question, not four.

You can turn a popular add-on into a bundle later. Once a pair starts selling together more often than not, the combination is the product, and a bundle price is honest.

## How to set this up on Shopify

1. List each extra you currently show on the PDP. Mark each as add-on or bundle using the test above.
2. Keep one offer type on the parent product page.
3. If it is an add-on, use a checklist under add-to-cart. Do not send shoppers to a second PDP to evaluate a spare cable.
4. If it is a bundle, create the kit product (or a bundle app block in the buy box) and keep "Buy this item" as the default unless the set is genuinely the product.
5. Remove the footer carousel that repeats the same SKUs.

Pick the structure that matches the SKU. Kill the other one.

### FAQ

**Is a frequently-bought-together widget a bundle or an add-on?**

It behaves like an add-on — the shopper can take or leave the extra SKUs — even if you discount it like a bundle. Treat it as an add-on in the page layout: after the buy box, not instead of it.

**Should add-ons be discounted?**

Rarely. The shopper already wants the parent product. Discounting the extra trains them to wait for a deal on something they would have added at full price.

**Can I turn a popular add-on into a bundle later?**

Yes, and you should once a pair starts selling together more often than not. At that point the combination is the product, and a bundle price is honest.

**Where do add-ons go on the page?**

Directly under the add-to-cart button, as a checklist, not in a related-products carousel at the footer. Footer carousels are for browsing. Add-ons are for this purchase.

**Will a bundle selector hurt single-item conversion?**

It can, if it replaces the simple add-to-cart. Keep "Buy this item" as the default and "Make it a set" as the second action, unless the set is genuinely the product.

**Does Shopify need a separate product for a bundle?**

If the combination is the point, yes — its own URL, photos and inventory. That is how it can rank, be advertised and sit in a collection. An add-on does not need its own PDP.

## FOMO in the Shopify Cart — Announcement Bars That Help Instead of Nag

URL: https://ninety9.dev/blog/fomo-blocks-in-the-cart-drawer.html
Published: 2026-07-05 (updated 2026-09-21)
Category: Cart & Checkout · App: Addy: AI Cart Drawer & Bundles
Reading time: 5 minutes

Use one true urgency signal in the Shopify cart drawer — real stock, a real sale end, or a real dispatch cut-off. Fake timers train shoppers to ignore you.

Fear of missing out belongs in the Shopify cart only when the claim is true. The shopper is already committed enough to have added something, and a real constraint — stock, a sale end, a dispatch cut-off — can finish the job. A fake timer belongs in the bin, because this is the last moment of trust before payment.

FOMO is not a design style. It is a claim about the world. Write the true version or show nothing.

## What FOMO in the cart actually is

In a cart drawer, FOMO is a short line that states a real limit on *this* order: inventory at the variant they added, a promotion that actually ends, or a warehouse cut-off you will keep. It is not brand-level social proof ("thousands of happy customers") and it is not a clock that restarts when they refresh.

The [cart drawer](/blog/shopify-cart-drawer-complete-guide.html) is a small surface. One true signal is plenty. Three signals is nagging.

## The only FOMO that belongs in a cart

Three categories earn their pixel:

1. **Real inventory.** Variant-level stock, updated, not a theme setting of "3".
2. **Real promotions.** A sale that actually ends at a timestamp you will not quietly extend.
3. **Real delivery constraints.** Cut-off times for next-day dispatch that your warehouse actually keeps.

Everything else — "27 people are looking at this", "in high demand", a timer that restarts at 15:00 every time you open the tab — is theatre. Theatre converts once and then trains your regulars to ignore you.

An [estimated delivery date](/blog/estimated-delivery-date-shopify.html) that names a cut-off is often stronger than a countdown, because it is a promise the warehouse can keep rather than a clock the marketing team invented.

## One bar, not a stack

Announcement bars compound badly. A free-shipping progress bar is a goal. A countdown is a deadline. A stock warning is a constraint. Pick the one that is actually true *for this basket* and silence the others.

A useful default:

- Progress bar if they are under a threshold you care about.
- Delivery cut-off if they are over the threshold and you can still make a same-day dispatch.
- Stock only on the line item that is actually scarce, not as a global banner.

Put the bar above the line items. It frames the basket. Below an upsell it reads as a caption on an offer, which is a different and weaker job. Do not repeat the same urgency on every product card in the drawer.

## How to write the line

Specific and boring beats vague and exciting.

- Bad: "Hurry, selling fast!"
- Good: "Order in the next 2 hours for dispatch today."
- Bad: "Limited stock."
- Good: "Only 2 left in Navy / M."
- Bad: "Sale ends soon."
- Good: "Member price ends Sunday at midnight."

If you cannot write the good version because the data is not there, you do not have a FOMO feature. You have a copy box.

Name the variant, the hour, or the date. Do not name a feeling. "Selling fast" is a feeling. "Only 2 left in Navy / M" is a fact.

## How to set a true bar on Shopify

1. Decide which one claim is true for most baskets this week: stock, sale end, or dispatch cut-off.
2. Wire the bar to live data. Inventory at variant level, the promotion end timestamp, or the warehouse cut-off you actually pick against.
3. Place one bar at the top of the cart drawer. Remove duplicate urgency from product cards and from a second announcement app.
4. Preview a basket that is under the free-shipping threshold and a basket that is over it. Only one message should win.
5. Reload the page. If a timer resets, turn the timer off.

Do not use a theme setting of "show low stock at 3" on a SKU with hundreds of units. Inventory theatre is worse than silence.

## When not to use urgency

Skip FOMO in the cart when:

- You cannot honour the deadline (the sale will be extended, the cut-off is decorative)
- Stock numbers are cached or rounded into theatre
- You already have a progress bar that is doing the job of "one more item"
- The store has used fake timers before and regulars have learned to ignore them

Trust is an AOV feature. Shoppers who believe your cart will believe an [in-cart upsell](/blog/in-cart-upsells-that-convert.html). Shoppers who have been burned by a fake timer will not. The quietest stores often have the highest take rates on in-cart offers, because nothing in the drawer has given them a reason to doubt the next sentence.

## How to measure a FOMO bar

Watch add-to-cart-to-checkout rate and attach rate on whatever sits next to the bar, not clicks on the bar itself. A bar is not a campaign. If checkout starts fall after you add a timer, you have added anxiety without a true constraint. If they hold and attach on the upsell rises, the bar is doing its job: finishing a decision the shopper had already started.

### FAQ

**Do countdown timers increase conversions in the cart?**

Real ones can, for genuine promotions with a real end time. Timers that reset when you reload the page train shoppers to distrust every other claim in the store, including the ones that are true.

**How many FOMO blocks should a cart have?**

One. A bar or a single line of stock/sales proof. A drawer that shouts in three places is a drawer shoppers learn to skim.

**Is "only 3 left" okay if it is true?**

Yes, if it is true at the variant level and updates. Inventory theatre ("only 3 left" on a SKU with 400 units) is worse than silence.

**Should FOMO sit above or below the upsell?**

Above the line items. It frames the basket. Below the upsell it reads as a caption on an offer, which is a different and weaker job.

**Does Shopify show low stock in the cart by default?**

Not as a cart announcement bar. Inventory can appear on the product page depending on the theme, but a true variant-level line in the cart drawer usually needs an app or a custom block that reads live inventory. If you cannot update the number, do not show it.

**What if my free-shipping bar and a countdown both want the top slot?**

Pick the one that is actually true for this basket. A progress bar if they are under a threshold you care about. A delivery cut-off if they are over it and you can still make a same-day dispatch. Do not stack both plus a stock warning.

## Cart Drawer Performance — Keep Shopify LCP Intact After You Add Upsells

URL: https://ninety9.dev/blog/cart-drawer-performance-lcp.html
Published: 2026-07-04 (updated 2026-09-21)
Category: CRO & Analytics · App: Addy: AI Cart Drawer & Bundles
Reading time: 6 minutes

Keep Shopify Largest Contentful Paint intact when you add a cart drawer. Load it on first open, lazy-load images, and measure LCP on a product page.

A cart drawer should never cost you Largest Contentful Paint. If it adds work to first paint, it is a tax on every session, including the ones that never open the cart. The rule is simple: the drawer does not exist until someone needs it. Everything else is implementation detail.

Upsells, progress bars and branded chrome can live in that drawer. They cannot live in the initial HTML of the product page.

## What LCP has to do with a cart drawer

Largest Contentful Paint is the moment the main content of the page becomes visible. On a Shopify product page that is usually the featured image, sometimes a heading. A cart drawer is not that content. If the drawer still shows up in the LCP path, it is because its markup, fonts or JavaScript ran too early.

A delay of a couple of hundred milliseconds on LCP is not a conversion feature. It is slower product pages for people who have not added anything yet. The [cart drawer itself](/blog/shopify-cart-drawer-complete-guide.html) can still be the right UX. The loading pattern is the variable.

## Where drawers show up in the critical path

Three patterns show up in real stores:

1. **The HTML is in the page.** The drawer markup is in the initial response, hidden with CSS. Images inside it still decode. Fonts still swap. LCP still pays.
2. **The JavaScript is in the page.** A large bundle parses on every product page so that a drawer *could* open. Parse time is main-thread time.
3. **The app injects into theme.liquid.** This is the legacy pattern. It is also the one Shopify has spent years trying to kill, for good reason.

The pattern that does not show up in LCP: a theme app extension, loaded asynchronously, that fetches drawer UI on first open and caches it for the session.

Theme app extensions remove the worst failure mode. They do not stop an app from downloading a large bundle on load. Check the network panel on a product page before you trust the marketing site.

## How to load a drawer without touching LCP

1. Install the cart as a theme app extension, not a script pasted into `theme.liquid`.
2. Confirm the drawer markup is not in the initial HTML. View source on a product page with an empty cart. You should not see line items, upsell cards or a checkout button for the app.
3. Do not preload the drawer. Fetch on first add-to-cart, then keep it warm for the rest of the session.
4. Lazy-load every image inside the drawer. Product thumbs and upsell cards are off-screen until the shopper adds something.
5. Fire cart analytics on open or on offer impression, not on page load.

If the first open takes a moment to paint, that is acceptable. It is a click later, not a tax on landing. Preloading a UI the shopper has not opened yet is paying for work you may never need.

## What to measure before and after you install

Before you install anything, record on a representative product page:

- Largest Contentful Paint
- Total blocking time
- Transfer size of JS on load

Install the app. Repeat the same page, same device, same throttling. If LCP moved by more than a rounding error, the drawer is doing work at the wrong time.

Do not trust a homepage test. Homepages often have a hero image that masks a JavaScript regression. Product pages are where carts actually live.

Worked example: you record LCP on `/products/navy-tee` on a throttled mobile profile, install the drawer, and repeat. If LCP is unchanged and JS transfer on load is barely moved, the app is behaving. If LCP jumped and a new bundle appeared in the network panel before anyone clicked add-to-cart, the drawer is in the critical path. Replace it.

## Images and upsells

Every upsell card is an image request. If those requests start on page load, you have built a carousel the shopper did not ask for. Lazy-load thumbs. Decode on open.

[In-cart upsells](/blog/in-cart-upsells-that-convert.html) are the usual reason merchants accept a heavier drawer. That is fine after the click. It is not fine as twelve product images competing with the featured image on first paint.

The same rule applies to [branding assets](/blog/cart-drawer-brand-design.html). Do not load a second webfont just for the drawer heading. Inherit the theme stack so you are not paying a font swap on every PDP.

## Analytics and app pixels

Fire cart pixels on open or on offer impression, not on page load. Cart-level analytics that run on every product page are a common source of main-thread work that nobody asked for.

If you need to know that the drawer code loaded, that is a development check, not a shopper event. Shopper events start when the drawer opens or when an offer is seen.

## The fail-safe

If the app is unreachable, the drawer should not render and the theme's native add-to-cart should still work. A conversion widget that can take down add-to-cart is worse than no widget. Fail safe, always.

Check this on purpose: block the app domain in the browser, add to cart, and confirm the product still goes into Shopify's cart. If buy dies with the app, you do not have a performance problem. You have a single point of failure on the money button.

### FAQ

**Will a cart drawer app slow my store down?**

It should not. A well-built drawer loads asynchronously, renders only when opened, and never blocks the initial paint. If your Largest Contentful Paint changes after install, the app is in the critical path and you should replace it.

**Does Shopify's theme app extension model guarantee speed?**

It removes the worst failure mode — a script injected into theme.liquid that runs on every page. It does not stop an app from downloading a large bundle on load. Check the network panel.

**Should I preload the drawer?**

No. Preloading a UI the shopper has not opened yet is paying for work you may never need. Fetch on first add-to-cart, then keep it warm for the rest of the session.

**What about app pixels and analytics in the cart?**

Fire them on open or on offer impression, not on page load. Cart-level analytics that run on every product page are a common source of main-thread work that nobody asked for.

**Where should I measure LCP after installing a cart app?**

On a representative product page, not the homepage. Homepages often have a hero image that masks a JavaScript regression. Product pages are where carts actually live. Repeat the same URL, device and throttling with the app on and off.

**Is a slower first open of the drawer acceptable?**

Yes, if it is a click later and not a tax on landing. A first open that takes a moment to paint is better than 200ms of Largest Contentful Paint on every session, including the ones that never open the cart.

## Make Your Shopify Cart Drawer Match the Store — Without a Developer

URL: https://ninety9.dev/blog/cart-drawer-brand-design.html
Published: 2026-07-03 (updated 2026-09-21)
Category: Cart & Checkout · App: Addy: AI Cart Drawer & Bundles
Reading time: 6 minutes

Brand a Shopify cart drawer to match your theme — colour, type, radius and button — so it reads as part of the store instead of a third-party widget.

A Shopify cart drawer converts when it looks like a continuation of the theme, not like software. Shoppers have a well-trained eye for third-party widgets: the slightly wrong radius, the font that is almost Inter but not the one the rest of the site uses, the checkout button in a blue the brand never uses. If the drawer does not match, the shopper treats it as a detour.

You do not need a developer to fix that. You need the same four tokens the theme already uses, applied in the drawer settings.

## What a branded cart drawer is

A branded drawer is not a redesigned cart. It is the store's visual language — background, type, radius, primary button — reused on the slide-out that opens after add-to-cart. The [full cart drawer](/blog/shopify-cart-drawer-complete-guide.html) can still hold upsells, a progress bar and delivery copy. Those extras only work if the surface itself does not announce "an app just opened."

The test is simple. Screenshot the open drawer. If it could pass as a native theme section, you are done. If a designer can spot the app in under two seconds, keep matching tokens.

## Four tokens, in order

Match these before you touch anything else:

1. **Background.** Same as the page, or one step sunken. Not a new colour.
2. **Typeface and size.** The heading in the drawer should be the same family and roughly the same scale as a section heading on the product page.
3. **Radius.** If your buttons are pills, the drawer corners and the checkout button are pills. If your theme is 4px, do not ship 16px.
4. **Primary button colour.** The checkout button is the brand's primary CTA, not the app's default.

Get those four right and the drawer disappears into the store. Get them wrong and no amount of upsell logic will make it feel native.

Pull the values from the theme, do not invent a second palette. In Online Store → Themes → Customize, note the background, heading font, button radius and primary button colour. Paste the same values into the cart app's design settings. If the store is warm and rounded, the drawer cannot be cold and sharp.

## How to brand the drawer on Shopify without a developer

1. Open the theme editor and write down the four tokens above. Hex codes, font names, pixel radii.
2. Open the cart app's theme app embed or app block settings. Map background, heading, body, radius and primary button to those tokens.
3. Set the overlay to a light dim. Do not use a branded colour wash.
4. Preview a product page, add to cart, and compare the drawer beside the product page at desktop and at 390px width.
5. Repeat for a second template if you use a different product template for a market or a bundle SKU.

You should not need to edit `theme.liquid`. Colours, fonts and radii belong in app settings mapped to existing tokens. A Liquid edit to change a button colour is a sign the app is the wrong tool.

## The checkout button is the design

Everything in the drawer exists to support one action. Progress bars, upsells and trust badges are useful; they are not the hero. If the checkout button does not win the visual hierarchy, you have decorated a form.

A useful check: screenshot the open drawer and blur it. You should still be able to point to the checkout button. If you cannot, increase contrast, size or isolation — not the number of badges around it.

Keep secondary actions quiet. "View full cart" should look like a text link, not a second primary. That hybrid pattern is covered in [cart drawer vs cart page](/blog/cart-drawer-vs-cart-page.html). Two loud buttons is how shoppers stall.

## What not to customise

Do not add a second logo in the drawer header. Do not add a decorative illustration. Do not change the overlay into a branded colour wash. These are the tells that someone "designed the app" instead of continuing the store.

Custom CSS is for the last stretch: a one-pixel border, a font-feature setting, a focus ring. If you are writing a stylesheet, the settings model failed. If you need more than a dozen lines, the design tokens are wrong.

Also skip:

- A different heading case (all-caps in the drawer, sentence case on the site)
- A new shadow language (heavy drop shadows on a flat theme)
- App-default spacing that is tighter or looser than the product form

Spacing is a token too. If the theme uses generous padding in the buy box, the drawer should not feel cramped.

## Markets and multiple carts

If you run Shopify Markets, the drawer has to survive more than one theme accent. The durable approach is to inherit tokens per market rather than hard-coding a single brand colour. A US storefront on a warm palette and a JP storefront on a cooler one should not share a hex code just because they share an app.

Check the drawer on each published theme, not only the primary one. A "good enough" match on the main market is still a widget on the second.

## How to check the match before you ship

Open a product page, add an item, and walk this list:

- Background matches the page or sits one step sunken
- Heading and body use the store font
- Corner radius matches buttons
- Checkout button uses the brand primary
- Overlay is quiet; the product behind is still visible
- No second logo, illustration, or extra webfont

Then check [drawer performance](/blog/cart-drawer-performance-lcp.html). A perfectly branded drawer that ships a large bundle on every product page still costs you Largest Contentful Paint. Brand and speed are the same install, not two projects.

### FAQ

**Do I need to edit theme.liquid to brand the cart?**

Not with a theme app extension. Colours, fonts and radii should be settings in the app, mapped to your theme's existing tokens. If an app requires a Liquid edit to change a button colour, it is the wrong app.

**Should the drawer be light or dark?**

Match the storefront. A dark drawer on a light store looks like a takeover, not a continuation. The one exception is a store that already uses a dark header or a dark product page.

**How close does the match need to be?**

Close enough that a screenshot of the open drawer could be mistaken for a native theme section. If a designer on your team can spot the app in under two seconds, shoppers can too.

**What about the overlay behind the drawer?**

Keep it quiet. A heavy dim or a blur that kills the product page behind it undoes the continuity that made you choose a drawer in the first place. The product should still be recognisable.

**Can I match fonts if my theme uses a paid typeface?**

Yes, if the app can inherit the theme's font stack rather than shipping Inter as a default. Load the same family the storefront already uses. Do not add a second webfont just for the drawer — that is a performance cost and a visual tell.

**What if I run Shopify Markets with different theme accents?**

Inherit tokens per market rather than hard-coding one hex. A US storefront on a warm palette and a JP storefront on a cooler one should not share a brand colour just because they share an app.

## How to Reduce Order Cancellations Without Losing the Customer

URL: https://ninety9.dev/blog/reduce-order-cancellations.html
Published: 2026-07-02 (updated 2026-09-21)
Category: Retention & Post-Purchase · App: Reviso: Order editing & Upsell
Reading time: 7 minutes

The five reasons customers cancel, which of them are actually solvable, and how to build a deflection flow that saves orders instead of trapping people.

A cancellation looks like a lost sale, which is why most stores treat it as a customer service problem to be minimised rather than a signal to be read.

That framing misses the interesting part. Very few cancellations are a rejection of the product. Most are the correction of a mistake, or a reaction to something the store told them after checkout that it should have told them before. Both are addressable, and reading the reasons tells you where.

## The five reasons, and what each one means

### 1. "I made a mistake"

Wrong size, wrong colour, wrong quantity, wrong address, duplicate order. Almost always the largest single category.

**What it means:** the customer still wants to buy from you. They just want a different version of what they ordered.

**The fix:** an edit flow. Cancelling is a workaround for the absence of one. Offer the edit and most of these disappear entirely.

### 2. "It's taking too long"

The customer has not received a dispatch notification within the timeframe they imagined, and their imagination was calibrated by a marketplace that ships same day.

**What it means:** an expectation was never explicitly set, so the customer invented one.

**The fix:** show the actual delivery estimate — in the cart before purchase, on the confirmation, and again in the cancellation flow. A large share of "taking too long" cancellations arrive before the promised window has even passed.

### 3. "I found it cheaper"

Price comparison after purchase, which is more common than most merchants assume.

**What it means:** the purchase was price-led rather than brand-led. That is worth knowing.

**The fix:** a price match, or an incentive to keep the order. This is one of the few cases where a discount is genuinely the right instrument. Whether it is worth it depends on your margin and whether this customer has repeat potential.

### 4. "I changed my mind"

Genuine reconsideration. Buyer's remorse, budget change, or the purchase was impulsive.

**What it means:** usually nothing actionable at the individual level, but a rising share here can indicate that a promotion is driving low-quality demand.

**The fix:** limited. A modest incentive recovers some. Do not fight hard for these.

### 5. "Something unexpected"

Payment issue, duplicate charge, a family member already bought it, an address that turned out to be wrong.

**The fix:** make the process painless and make sure the refund is fast. The goal here is that the customer comes back, not that they stay.

Every deflection flow should ask why before offering anything. An offer that ignores the reason converts poorly and reads as tone-deaf. Offering ten percent off to someone whose parcel is going to the wrong address is worse than offering nothing.

## Designing the deflection flow

The sequence that works, in four steps.

### Step 1: Make the intent easy to express

The cancellation link should be findable in the order confirmation email and in the customer account. Hiding it does not prevent cancellations; it converts them into support tickets and chargebacks.

### Step 2: Ask why, with a short list

Five or six options, plus a free-text field. Keep it to one screen. The list should map to the categories above, in your customers' language rather than yours.

This step alone is worth building even if you never offer a deflection, because the data is genuinely valuable.

### Step 3: Respond to the specific reason

| Reason | Best response | Why |
|---|---|---|
| Wrong item or size | Open the edit flow | Fixes the actual problem |
| Wrong address | Open the address edit | Same |
| Taking too long | Show the real delivery estimate | Usually resolves it outright |
| Found it cheaper | Price match or incentive | Only case where discount is first choice |
| Changed my mind | Small incentive, or let go | Limited upside |
| Ordered by mistake | Cancel immediately, no friction | Fighting this damages the relationship |

Note how few rows call for a discount. The reflex is to offer money; the better answer is usually to fix the thing.

### Step 4: If they still want to cancel, let them

One offer, then the cancel button works. A flow that requires three dismissals produces chargebacks and reviews, both of which cost multiples of the order value.

A hidden cancel link, a required phone call, or a confirmation dialogue that repeats itself will occasionally save an order. It will also reliably generate a chargeback - which costs the order value plus a fee plus a mark against your account - and a public review that costs more than either. The maths does not work.

## What to offer, and what it should cost

If an incentive is the right response, size it against the true value of the saved order — not the order total.

The value of a saved order is roughly:

```
gross profit on the order
+ avoided refund processing cost
+ avoided restocking cost (if fulfilled)
+ probability-weighted lifetime value of the retained customer
```

For a first-time customer on a $70 order at 55% margin, gross profit alone is $38.50. Spending $7 to save it is clearly worthwhile. Spending $25 probably is not, unless your repeat rate is high enough that the lifetime value term dominates.

Options ranked by cost to you:

1. **Fix the problem** (free) — edit the order, correct the address, swap the variant.
2. **Provide information** (free) — the real delivery date, the returns policy, stock status.
3. **Add value** (low cost) — a free gift, expedited shipping, an extended returns window.
4. **Discount the current order** (direct cost) — a partial refund or credit.
5. **Store credit** (deferred cost) — often better received than a discount and it keeps the customer.

Start at the top. Most stores start at four.

## Cancellations before fulfilment vs after

Two different problems.

**Before fulfilment**, a cancellation is a database change. It should be self-service, immediate, and free of friction. There is no operational reason to involve a human.

**After fulfilment**, it is a return in disguise. The parcel exists. Handle it as a return, be explicit that the item needs to come back, and consider whether a carrier intercept is cheaper than a return journey.

Blurring these two is a common source of customer frustration, because a customer told "cancelled" who then receives a parcel has been given wrong information at the worst moment.

## Reading the reason data

After a few months, the reason distribution becomes one of the more useful reports in the business.

- **Rising "wrong size"** → your size guide or product photography is unclear. Fix the product page, not the cancellation flow.
- **Rising "taking too long"** → either fulfilment has slowed or your pre-purchase delivery messaging is absent. Check which.
- **Rising "found it cheaper"** → you are competing on price in a channel where you should not be, or a competitor has moved.
- **Rising "changed my mind"** → often correlates with a promotion driving low-intent traffic. Check the source.
- **Clustering by product** → that product page is over-promising.
- **Clustering by country** → that market's delivery expectations or duty treatment is not being communicated.

Each of those points at a fix somewhere earlier in the funnel, which is where cancellations are actually prevented. The deflection flow catches what leaks through; the product page and the delivery promise are what stop the leak.

## Measuring it

- **Cancellation rate** as a percentage of orders, tracked weekly.
- **Reason distribution**, and its trend.
- **Deflection rate** — cancellations started but not completed ÷ cancellations started.
- **Deflection cost per saved order.** Total incentive value ÷ orders saved.
- **Chargeback rate.** The guardrail. If deflection rate rises and chargebacks rise with it, the flow has become too aggressive.
- **Repeat purchase rate of customers who cancelled.** The long guardrail — a customer who cancelled easily and came back is a better outcome than one who was talked out of it and never returned.

### FAQ

**What is a normal order cancellation rate?**

It varies widely by category and fulfilment speed, but for most direct-to-consumer stores it sits in the low single digits as a percentage of orders. What matters more than the absolute figure is the reason distribution, because that tells you which cancellations were preventable.

**Should I make cancelling difficult?**

No. A difficult cancellation converts into a chargeback, a negative review, or a customer who never returns - each of which costs more than the order. Make cancelling easy, and put a genuinely useful alternative in front of it.

**What is the best cancellation deflection offer?**

It depends on the reason. For a wrong item or wrong address, offer the edit rather than an incentive. For delivery concerns, show the real delivery estimate. Discounts are the most expensive option and should be reserved for reasons that have no operational fix.

**When should customers be able to cancel themselves?**

Up to fulfilment. Before a label is printed a cancellation is a database change; after it, it becomes a warehouse operation and often a carrier intercept. Automatic self-service cancellation before fulfilment and a support route after is the right split.

**Does capturing a cancellation reason actually help?**

It is one of the highest-value datasets a store can collect. Over a few months the reason distribution shows you exactly where the funnel is over-promising, which product pages are unclear, and which fulfilment lanes are too slow.

## Shipping Protection in the Shopify Cart — When It Helps and When It Annoys

URL: https://ninety9.dev/blog/shipping-protection-in-the-cart.html
Published: 2026-07-02 (updated 2026-09-21)
Category: Cart & Checkout · App: Addy: AI Cart Drawer & Bundles
Reading time: 5 minutes

Offer shipping protection in the Shopify cart as an opt-in add-on with specific cover. Pre-ticked boxes convert once, then create chargebacks and tickets.

Shipping protection in the Shopify cart helps when it is an optional add-on with specific cover — loss, theft, damage — and a toggle that starts off. It annoys when it is a pre-ticked fee the shopper did not notice. You can raise average order value without asking anyone to want another product. You can also make two dollars and spend twenty in goodwill.

The failure mode is familiar: a pre-ticked box, a small extra line, and a support ticket three days later. That is a tax, not an offer.

## What shipping protection is

Shipping protection is a paid promise attached to this shipment: if the parcel is lost, stolen or damaged, the shopper will not have to fight a carrier. It is an add-on, like gift wrap, not a shipping rate and not a tax.

It is not "peace of mind." Peace of mind is a slogan. The product is three named outcomes and a process you will actually run.

Treat it with the same honesty you would use for any other [product add-on](/blog/product-addons-vs-bundles.html). Optional, explained, removable in one tap.

## What shoppers think they are buying

They are not buying a vibe. They are buying a specific promise. If your copy cannot name loss, theft and damage, do not sell the add-on.

Specific cover converts. "Package protection" does not, because it sounds like a fee with a slogan attached.

Write one sentence. "Covers loss, theft and damage on this shipment. If something happens, we replace or refund — you do not chase the carrier." If you cannot stand behind that sentence this week, the add-on is a conversion trick, and conversion tricks get refunded in reviews.

## Where it belongs in the cart

Below the line items, above the checkout button, never inside a nested accordion. The shopper should see:

1. What it is.
2. What it costs.
3. A toggle that is off by default.

A [cart drawer](/blog/shopify-cart-drawer-complete-guide.html) is the right surface. The shopper is looking at the order they are about to pay for; an add-on that attaches to *this* shipment is easier to evaluate than one on a product page they have already left.

Do not bury it in a modal that opens after checkout click. That is how optional becomes accidental. Do not place it above the line items, where it competes with a progress bar. It is not a goal. It is a line item the shopper may add.

## Pricing that does not feel like a tax

A useful starting range is a small percentage of subtotal, with a floor so a tiny order is not paying a large share of its value as "protection", and a ceiling so a large order is not paying a sticker price that looks like a second shipping rate. Round numbers beat odd cents.

Worked example: say the basket is $60. A round $1.49 or $1.99 is easier to accept than $1.37. Say the basket is $12. A floor around a pound or a dollar still has to be optional — and if that floor is a large slice of the order, consider not offering protection below a subtotal at all.

If you cannot explain the price in one sentence ("covers loss, theft and damage on this shipment"), the price is wrong or the product is.

A percentage tracks the risk. A flat fee is easier to understand. Many stores do better with a small flat fee on low AOVs and a capped percentage above a threshold. Pick one structure and show the number next to the toggle, not after they reach checkout.

## How to offer it without a dark pattern

1. Default the toggle off.
2. Put the price in the same row as the label.
3. Name what is covered in one line under the label.
4. Let them remove it in one tap. The checkout total should update immediately.
5. Do not re-check it if they open the drawer again.

The test is whether a reasonable shopper notices they added it and could remove it in one tap. Pre-checking fails that test. So does a tiny checkbox with no price until the last step.

If you need a third-party insurer to pay claims, use one, or you are self-insuring. Do not sell cover you cannot honour. That is both a legal problem and a review-bomb waiting to happen.

## When not to offer shipping protection

Skip it when:

- You will not make the shopper whole without a long email thread
- Carriers already include a process you honour quickly, and the add-on would duplicate it
- The average parcel is so cheap that the floor fee looks like a tax
- You ship only local hand-delivery or pickup, where "lost in transit" is the wrong product

Used honestly, protection is a small AOV lift and a quieter support queue — the anxious shoppers who take it are the ones you want to reassure before checkout. Used as a pre-ticked fee, it is a tax. Shopify shoppers have learned to tell the difference.

## How to measure it

Watch take rate, refunds and tickets that mention the fee, not only the extra revenue. An add-on that lifts AOV while filling the inbox is not a win. Pair it with the rest of the [in-cart offer](/blog/in-cart-upsells-that-convert.html) stack so protection is not the only extra line fighting the checkout button.

### FAQ

**Is shipping protection a dark pattern?**

Pre-checking it is. Offering it, clearly, with an opt-in, is not. The test is whether a reasonable shopper notices they added it and could remove it in one tap.

**Should protection be a percentage or a flat fee?**

A percentage tracks the risk; a flat fee is easier to understand. Many stores do better with a small flat fee on low AOVs and a capped percentage above a threshold.

**Will it hurt conversion?**

A forced add-on will. A clearly optional line with a short benefit statement usually does not, and the shoppers who take it are the ones most anxious about delivery — exactly the group you want to reassure before checkout.

**Do I need a third-party insurer?**

If you are going to pay claims, yes, or you are self-insuring. Do not sell cover you cannot honour. That is both a legal problem and a review-bomb waiting to happen.

**Where should shipping protection sit in a cart drawer?**

Below the line items and above the checkout button, never inside a nested accordion or a modal. The shopper should see what it is, what it costs, and a toggle that is off by default.

**Can I offer protection on the product page instead?**

You can, but the cart is the better surface. The shopper is looking at the order they are about to pay for, so an add-on that attaches to this shipment is easier to evaluate than one on a product page they have already left.

## Cart Drawer vs Cart Page — Which Shopify Cart Converts More

URL: https://ninety9.dev/blog/cart-drawer-vs-cart-page.html
Published: 2026-07-01 (updated 2026-09-21)
Category: Cart & Checkout · App: Addy: AI Cart Drawer & Bundles
Reading time: 6 minutes

A Shopify cart drawer usually converts more than a cart page because it keeps the product in view. Use a full cart page only for large or complex baskets.

A Shopify cart drawer usually converts more than a dedicated cart page because the shopper never leaves the product they were already looking at. A full `/cart` page wins when the basket is large, configurable or B2B and a drawer runs out of room. For most stores the pattern that ships is a drawer by default, with a quiet link to the full cart for the messy sessions.

The cart is not a page type. It is a moment. Someone has decided to buy and has not yet paid. Everything you put in that moment either moves them toward checkout or gives them a reason to leave.

## What is a cart drawer versus a cart page

A cart page is Shopify's `/cart` URL: a full navigation, line items, and a checkout button. The product disappears. Scroll position is lost.

A cart drawer is a slide-out panel on top of the current page. Closing it returns the shopper to the exact pixel they left. Adding a second item is one click, not a round trip.

That is the whole thesis. Continuity is the conversion feature. Upsells, progress bars and delivery estimates are what you *do* with the continuity once you have it. The [complete cart drawer guide](/blog/shopify-cart-drawer-complete-guide.html) covers those extras. This post is the choice between surfaces.

## What a cart page actually costs

A cart page is a full navigation. The product disappears. The only prominent forward action is checkout, which means the natural next move after "I might want one more thing" is to leave your catalogue entirely and start again from the collection.

That cost is invisible in most analytics, because it does not show up as a bounce from `/cart`. It shows up as a shopper who added one item, opened the cart, closed it, and never added the second.

On mobile the cost is larger. A full cart page costs a whole viewport of context. The collection, the product image, the size they just picked — all gone. A drawer keeps that context in the background.

## Why the drawer wins for most stores

A drawer keeps the product page behind it. Closing it returns the shopper to the exact pixel they left. That is why auto-open after add-to-cart is what makes the drawer pay. A drawer that only opens on the cart icon is just a prettier cart page.

Checkout from the drawer should go straight to Shopify checkout, the same destination as the cart page. You should not add a click. The win is fewer people abandoning before they get there.

Brand still matters. If the drawer looks like a third-party widget, continuity breaks even though the product is technically behind it. [Match the theme](/blog/cart-drawer-brand-design.html) before you argue about page versus drawer.

## When a cart page is still the right tool

Use a full page, or at least offer one, when any of these are true:

- Carts routinely run to eight or more line items.
- Products need per-item configuration (engravings, subscriptions, custom options).
- You sell B2B quantities where a drawer cannot show unit prices, breaks and notes without becoming a spreadsheet.
- Your shoppers compare several variants in the cart before committing — common in furniture, bikes and technical apparel.

In those cases a drawer feels cramped, and cramped carts get abandoned.

| Situation | Default surface | Why |
|---|---|---|
| One to four simple line items | Drawer | Continuity; room for one offer and a progress bar |
| Many line items or notes | Cart page | Vertical room; line-item controls stay usable |
| Engraving, subscriptions, custom options | Cart page or hybrid | Per-item configuration does not fit a slim panel |
| B2B unit prices and breaks | Cart page | A drawer becomes a spreadsheet |
| Mobile, low line-item count | Drawer | A full page costs the whole viewport |

## The hybrid that actually ships

Keep the drawer as the default after add-to-cart. Pin a quiet "View full cart" link under the line items for the sessions that need it. Do not make the full cart the primary path.

Do not hide `/cart`. Keep it as a fallback for shoppers who bookmark it, for themes and apps that still link there, and for large baskets. Route add-to-cart through the drawer; leave the page in place.

If your theme already has a cart drawer, replace it rather than stacking. Two drawers fighting for the same add-to-cart event is a common source of double-open bugs and duplicate upsells.

## How to set this up on Shopify

1. In the theme editor, disable or replace the theme's native cart drawer if you are installing another one. One drawer only.
2. Set the app to auto-open on add-to-cart on product and collection pages.
3. Point the drawer checkout button at Shopify checkout, not at `/cart`.
4. Add a text link to `/cart` under the line items.
5. Test at 390px width with three line items, an upsell and a progress bar before you ship.

Walk the [cart abandonment checklist](/blog/shopify-cart-abandonment-checklist.html) after the surface is chosen. A fast, native-looking drawer that auto-opens still loses if shipping is a surprise or the offer is empty.

## What to measure

Do not A/B test "drawer vs page" on the homepage. Test it on add-to-cart. The numbers that move are items per order, add-to-cart-to-checkout rate, and time from first add to checkout start. If those three do not improve, the drawer is not doing its job — usually because it is slow, it is empty of offers, or it does not open by itself.

### FAQ

**Should I hide the cart page entirely if I use a drawer?**

No. Keep /cart as a fallback for shoppers who bookmark it, for themes and apps that still link there, and for the minority of sessions with large or complex baskets. Route add-to-cart through the drawer; leave the page in place.

**Does a cart drawer work on mobile?**

It should. Mobile is where the continuity argument is strongest, because a full cart page costs a whole viewport of context. Test the drawer at 390px width with three line items, an upsell and a progress bar before you ship.

**Will a drawer reduce checkout clicks?**

It should not add any. Checkout from the drawer should go straight to Shopify checkout, the same destination as the cart page. The win is fewer people abandoning before they get there.

**What if my theme already has a cart drawer?**

Replace it rather than stacking. Two drawers fighting for the same add-to-cart event is a common source of double-open bugs and duplicate upsells.

**When is a dedicated cart page still better?**

When carts routinely run to many line items, when products need per-item configuration, or when you sell B2B quantities that need unit prices and notes. In those cases a drawer feels cramped, and cramped carts get abandoned.

**Should the drawer open automatically after add-to-cart?**

Yes, for most stores. Auto-open is what captures the continuity. A drawer that only appears when someone clicks the bag icon is a cart page with extra animation — you have paid the engineering cost and captured none of the moment.

## How to Run a Different Cart for Every Shopify Market

URL: https://ninety9.dev/blog/shopify-markets-cart-personalization.html
Published: 2026-06-30 (updated 2026-09-21)
Category: Cart & Checkout · App: Addy: AI Cart Drawer & Bundles
Reading time: 7 minutes

Shopify Markets cart personalisation: per-country free shipping, delivery copy and offers so one cart is not wrong in every market.

Most stores that sell internationally are running one cart in every country. The currency changes, and nothing else does.

That is a bigger problem than it looks, because almost every number in a cart is a claim about logistics — and logistics are the thing that varies most across borders. A free shipping threshold encodes your domestic shipping cost. A delivery estimate encodes your domestic carrier's transit time. A returns promise encodes your domestic returns address. Show all three unchanged to a shopper two thousand kilometres away and at least one of them is wrong.

## What actually differs between markets

Before deciding what to personalise, it helps to be precise about what varies.

| Variable | Varies by market? | Consequence if ignored |
|---|---|---|
| Shipping cost to fulfil | Heavily | Free shipping threshold is unprofitable or uncompetitive |
| Transit time | Heavily | Delivery estimates become false promises |
| Average order value | Moderately | Thresholds sit at the wrong percentile of the distribution |
| Price sensitivity | Moderately | Discount depth is over- or under-calibrated |
| Duties and taxes | Heavily | Cart total surprises the shopper at checkout |
| Payment expectations | Moderately | Express checkout options are irrelevant or missing |
| Language | Absolutely | Trust collapses at the worst possible moment |
| Returns logistics | Heavily | You promise something you cannot deliver cheaply |

Only two of those are solved by currency conversion. The rest need a decision.

## Start with the delivery estimate

If you change one thing, change this.

An estimated delivery date in the cart is one of the highest-value pieces of information you can show, because it answers the question shoppers most often leave to go and look up. It also has the highest cost when it is wrong, because a missed date is a support ticket, a refund request and a review.

The rule is simple: the estimate shown must be the estimate for the shopper's actual destination, based on the actual carrier and lane you will use. If you cannot compute that reliably for a market, show a range wide enough to be true, or show nothing. A vague honest range beats a precise false one.

## Then the free shipping threshold

A threshold is a profit decision disguised as a marketing one. The maths behind it:

> The gross profit on the incremental spend required to reach the threshold must exceed your average shipping cost to that market.

Which means the threshold must move when either side of that inequality moves — and both sides move across borders.

Setting it properly per market:

1. Pull the order value distribution **for that market only**, last 90 days.
2. Find the 60th–75th percentile.
3. Compute your average fulfilment cost to that market, including duties if you absorb them.
4. Check that gross margin on the gap between median order value and the threshold covers that cost.
5. Round to a number that reads naturally in the local currency.

That last step matters more than it sounds. A threshold of "€68" produced by converting $75 looks like an algorithm ran. "€70" looks like a decision. Shoppers respond to round numbers as goals in a way they do not respond to arbitrary ones.

Setting a threshold at your average order value is the most common mistake. Roughly half your orders already clear it, so you are paying for shipping you would not otherwise have paid for and changing nobody's behaviour. Sit it above the median, in the band where a meaningful group of shoppers is close but not there.

## Localise the copy, not just the currency

Cart copy is short, high-stakes and frequently the last untranslated surface on an otherwise localised store.

The strings that matter most:

- The progress bar sentence, which is the one shoppers actually read.
- The delivery estimate, including the date format. `08/09` means two different months on two sides of the Atlantic — use a spelled-out month.
- Trust and returns text.
- The checkout button, and any express payment labels.
- Error states, which are the most-neglected and the most damaging.

## Segment beyond geography

Market tells you about logistics. Customer tag tells you about relationship, and the two together produce a much better cart than either alone.

Useful segments:

- **First-time visitor.** Needs trust blocks, a visible returns policy and an achievable first goal. Does not need your highest reward tier — they will not reach it.
- **Repeat customer.** Already trusts you. Reclaim the trust-block space for a replenishment suggestion or a higher-tier reward.
- **High-value / VIP.** A threshold calibrated to the general population is meaningless here. Give them a tier that is actually a stretch.
- **Wholesale or B2B tagged.** Should not see consumer discount mechanics at all. Different cart, not a different block.
- **Discount-code arrivals.** Already have a discount. Stacking a second one on top is margin you did not need to spend.

## Separate carts vs conditional blocks

The instinct when you first get per-market capability is to build a cart per market. Resist it.

Five separate carts means five places to update when you change your returns policy, five layouts drifting apart over a year, and five things to test after every theme update. It is the CMS equivalent of copy-pasting a component.

The better default is one base cart with conditional blocks:

- Progress bar block → threshold value conditional on market.
- Delivery estimate block → shown only where you can compute it.
- Duties notice block → shown only in markets where you do not absorb duties.
- Trust block → shown only to first-time visitors.
- Wholesale notice → shown only to tagged accounts.

Reserve a genuinely separate cart for markets that differ *structurally* — a region where a promotion is legally restricted, or a wholesale channel with entirely different mechanics.

Some markets restrict specific promotional mechanics. Countdown timers, "was/now" pricing and automatic add-ons all have jurisdiction-specific rules, particularly in the EU. Those are compliance conditions, not personalisation, and they should be enforced at the block level rather than left to whoever edits the cart next.

## A rollout that will not break anything

1. **Audit.** List every number and every claim currently in your cart. Mark which are true in all markets. Most stores find three or four that are not.
2. **Fix the falsehoods first.** Delivery estimates and returns claims before optimisation. This is a trust repair, not a growth project.
3. **Split the threshold** for your two largest non-domestic markets only. Measure for a month.
4. **Translate** the cart strings for every language you sell in.
5. **Add segment conditions** — first-time versus repeat — once the geographic layer is stable.
6. **Review quarterly.** Shipping rates and order distributions both drift. A threshold set eighteen months ago is almost certainly wrong now.

## What to measure, per market

The mistake is looking at blended numbers. A change that lifts revenue in your largest market and quietly kills conversion in a smaller one will look like a win in aggregate.

Track per market:

- Cart-to-checkout rate
- Average order value
- Percentage of orders above the free shipping threshold
- Gross profit per order after shipping and duties
- Support tickets mentioning delivery or shipping cost

That last one is the leading indicator. A rise in delivery-related tickets in a specific market almost always means the cart is promising something the fulfilment chain cannot deliver.

### FAQ

**What is the difference between Shopify Markets and multi-currency?**

Multi-currency converts prices at checkout. Shopify Markets is the broader configuration layer that lets you control catalogue, pricing, domains, languages and duties per region. Cart personalisation should key off Markets, because currency alone tells you nothing about shipping cost, delivery time or local expectations.

**Should free shipping thresholds be converted or set independently?**

Set independently. A converted threshold produces numbers like 68.42 that read as arbitrary, and more importantly it ignores the fact that your shipping cost and your average order value are different in every market. Set each threshold from that market's own order distribution and shipping economics.

**How many different carts should I actually build?**

As few as possible. Most stores need one base cart plus conditional blocks, not five separate carts. Separate carts should be reserved for markets that differ structurally, such as a wholesale region or a country where a promotion is legally restricted.

**Do I need translated cart text for every market?**

You need it for every language you sell in, which is usually fewer than the number of markets. Untranslated cart copy is one of the most visible trust failures in international ecommerce because it appears at the exact moment the shopper is deciding to hand over money.

**Can I target the cart by customer tag as well as market?**

Yes, and the two together are more useful than either alone. Market determines shipping and delivery reality; customer tag determines what kind of relationship you have. A repeat customer in Germany and a first-time visitor in Germany should see different reassurance and different reward tiers.

## Popup Triggers Ranked — Timed, Scroll, Add-to-Cart, Checkout and Exit

URL: https://ninety9.dev/blog/popup-triggers-ranked.html
Published: 2026-06-23 (updated 2026-09-21)
Category: CRO & Analytics · App: Monet • AI Popup Bundle Addons
Reading time: 7 minutes

Not all popup triggers are equal. A ranked comparison of the six common triggers by intent quality, conversion risk and the offers that suit each one.

Every popup discussion focuses on the offer. The offer matters much less than the trigger, because the trigger determines who sees it — and showing a good offer to the wrong person at the wrong moment is worse than showing nothing.

Here are the six common triggers, ranked by the quality of the intent signal they read.

## The ranking

| Rank | Trigger | Intent signal | Conversion risk | Best use |
|---|---|---|---|---|
| 1 | Add to cart | Very strong — explicit commitment | Very low | Upsell, cross-sell |
| 2 | Checkout initiation | Very strong — about to pay | Low | Last relevant offer, reassurance |
| 3 | Exit intent | Strong — leaving anyway | None | Recovery, retention |
| 4 | Cart value threshold | Moderate — engaged shopper | Low | Goal reminder, gift unlock |
| 5 | Scroll depth | Weak — engagement, not intent | Medium | Content offers only |
| 6 | Time on page | None | High | Almost nothing |

The gap between rank 3 and rank 4 is the important one. The top three read a *decision*. The bottom three read a *behaviour* that may or may not indicate anything.

## 1. Add to cart

The strongest trigger available. The visitor has performed the single most explicit intent action on your site short of paying.

**What makes it good:** commitment already happened, so nothing is at risk. Attention is peaked because the shopper is watching for the result of their click. The purchase frame is active.

**What it suits:** a complementary accessory, a quantity upgrade, a bundle completion. Priced at 15–40% of the item just added.

**How it fails:** firing on every single add, obscuring the checkout path on mobile, or leading with the offer instead of confirming the add. Confirm first, always.

**Cap:** once per session.

## 2. Checkout initiation

The shopper has clicked through to checkout. Intent is essentially maximal.

**What makes it good:** the last moment you control before the shopper leaves your storefront for Shopify's checkout. Anything you want to say has to be said now.

**What it suits:** one final relevant offer, a threshold reminder ("you're $9 from free shipping"), or a reassurance block for high-value carts.

**How it fails:** anything that feels like an obstacle between the shopper and payment. This trigger has the smallest error budget of the three good ones. Keep the popup light, make the continue action dominant, and never require an interaction to proceed.

**Cap:** once per session, and never twice in the same checkout attempt.

## 3. Exit intent

The visitor is leaving. There is, structurally, no conversion left to lose.

**What makes it good:** the only trigger with zero conversion downside. Whatever it recovers is incremental.

**What it suits:** cart recovery, a threshold reminder, a save-my-cart email, a related recommendation, and — as a last resort — a discount.

**How it fails:** mobile detection is much weaker than desktop, so mobile exit popups produce false positives that interrupt people who were not leaving. And habitual discounting at exit trains returning visitors to trigger it deliberately.

**Cap:** once per session, once per week per visitor.

## 4. Cart value threshold

Fires when the cart crosses or approaches a value. A weaker signal than the top three, but a real one: the shopper has built a basket.

**What it suits:** goal reminders, gift unlocks, "add $12 more for free shipping".

**Important caveat:** most of the time this should not be a popup at all. A progress bar in the cart drawer does the same job persistently, without interrupting anything. Reserve the modal for a genuinely notable moment — unlocking a significant tier, for instance.

## 5. Scroll depth

Fires at a percentage of page scroll. Reads engagement, not intent.

Scroll depth tells you someone kept reading. That correlates loosely with interest and not at all with purchase intent. Someone who scrolled 70% of a blog post is engaged with the post, which is a reason to offer them more content and not a reason to interrupt them with a product.

**What it suits:** content offers on editorial pages. Little else.

**How it fails:** on product pages, where it fires at people who were reading the specifications — which is exactly what someone about to buy does.

## 6. Time on page

The worst common trigger, and the most widely deployed.

Time measures nothing about the visitor. Five seconds in, a person might be about to add to cart, about to leave, reading carefully, or distracted by something else entirely. Firing at all of them equally means interrupting the ones who were converting in order to reach the ones who were not.

This is the trigger responsible for the general reputation of popups, and there is almost no case where a better trigger is not available.

If you must use it — for a genuine site-wide announcement, say — pair it with conditions: not on the first pageview, not for returning customers, not on product pages, and with a long delay rather than a short one.

Popups that cover the main content immediately on arrival from search can affect mobile search performance. Triggers that respond to user action - add to cart, checkout, exit - are not affected, because they are responses to interaction rather than barriers to content. Timed popups on landing pages are the ones at risk.

## Rules that apply to every trigger

**One popup per session.** Set this globally. Multiple modals competing on the same visitor is the fastest way to make all of them perform worse.

**Suppress after conversion.** Anyone who has purchased in this session should see nothing.

**Suppress after dismissal.** A no is an answer.

**Segment first-time and returning visitors.** They have different information needs and different discount economics. A returning customer rarely needs the reassurance a first-timer does, and rarely needs the discount either.

**Respect device context.** A modal that works on a 27-inch monitor may cover the entire viewport on a phone. Test the small-screen version with the browser chrome visible.

**Make everything dismissible with the keyboard.** `Escape` must close it, focus must be trapped while open and returned on close. This is an accessibility requirement with legal weight in a growing number of jurisdictions.

## A configuration worth copying

For a typical Shopify store:

| Trigger | Where | Offer | Cap |
|---|---|---|---|
| Add to cart | Product pages | One complementary accessory | 1 / session |
| Checkout initiation | Cart | Threshold reminder, no discount | 1 / session |
| Exit intent | Cart and checkout only | Save-cart or delivery reassurance | 1 / week |
| Nothing | Collection, blog, home | — | — |

Three triggers, three purposes, no overlap, and nothing that fires at someone who has not shown intent.

## Measuring by trigger, not in aggregate

Blended popup metrics hide everything. A timed popup with a terrible take rate and an add-to-cart popup with a good one average out to something meaningless.

Per trigger, track:

- **Fire rate** — impressions ÷ eligible sessions. Unexpectedly high means your conditions are too loose.
- **Engagement rate** — interactions ÷ impressions.
- **Conversion contribution** — sessions that converted after seeing it ÷ sessions shown.
- **Guardrail metric**, which differs by trigger: cart-to-checkout for add-to-cart popups, checkout completion for checkout-initiation popups, return-visit rate for exit popups.

The guardrail is the number that tells you whether the trigger is earning its place. Take rate alone will always make a popup look successful, because it only counts the people who said yes.

### FAQ

**What is the best popup trigger for a Shopify store?**

Add to cart, for upsells, because it fires immediately after a commitment signal. Exit intent is the best trigger for retention offers because there is no conversion left to risk. Checkout initiation sits between them. Timed and scroll triggers are much weaker because neither measures purchase intent.

**Why are timed popups bad?**

Because time on page measures nothing useful. A visitor five seconds in might be about to buy, about to leave, or reading. Firing at everyone equally means interrupting the people who were converting in order to reach the ones who were not, which is a bad trade at any conversion rate.

**How many popups should a store run at once?**

One active at a time per visitor, with a global frequency cap. Multiple popups competing on the same session produce a hostile experience and degrade the performance of each. Set a site-wide rule that only one modal can appear per session.

**Should popups fire on mobile?**

Some triggers translate and some do not. Add to cart and checkout initiation work identically. Exit intent is much weaker because there is no cursor. Timed and scroll popups are worse on mobile than desktop because the viewport is smaller and a modal covers everything.

**Do popups affect SEO?**

Intrusive interstitials that cover the main content immediately on arrival from search can affect mobile rankings. Popups triggered by user action - add to cart, checkout, exit - are not affected, because they are responses to interaction rather than barriers to content.

## Free Gift With Purchase — Choosing a Gift That Pays for Itself

URL: https://ninety9.dev/blog/free-gift-with-purchase-strategy.html
Published: 2026-06-16 (updated 2026-09-21)
Category: Shipping & Fulfilment · App: Goalify: Free Shipping Bar PRO
Reading time: 7 minutes

How to pick a Shopify gift with purchase that has real perceived value, a threshold that pays, and operations that do not break.

A free gift with purchase is one of the more powerful average-order-value mechanics available, and one of the easiest to run at a loss without noticing.

The reason is that the cost side is visible — you know what the gift costs — while the value side is not. A gift with a $2 landed cost that nobody wants produces nothing. A gift with a $6 landed cost that customers genuinely value can move a meaningful share of your order distribution.

The whole exercise is picking the second kind.

## Perceived value and landed cost are different variables

Most stores optimise only for cost, which is how you end up giving away branded stickers.

The number that matters is the ratio:

> **Gift efficiency** = perceived value to the customer ÷ landed cost to you

Landed cost includes the unit cost, the additional pick-and-pack time, and any change to shipping weight or box size. A gift that pushes a parcel into the next weight bracket is far more expensive than its unit cost suggests.

Perceived value is what the customer believes they got. It is heavily influenced by whether the item has a visible price elsewhere on your site — which is why "worth $18" is credible for a product you actually sell and meaningless for a promotional item that has never had a price.

| Gift type | Perceived value | Landed cost | Efficiency |
|---|---|---|---|
| Travel/sample size of your bestseller | High | Low | **Excellent** |
| Full-size product you also sell | Very high | High | Poor — and cannibalising |
| Exclusive item not sold separately | Medium–high | Low–medium | Good |
| End-of-line stock | Medium | Very low (sunk) | **Excellent** |
| Branded merchandise | Low | Medium | Poor |
| Digital guide or content | Low–medium | Near zero | Situational |
| Consumable accessory | Medium | Low | Good |

## Why sample and travel sizes win

They score well on every axis at once.

- **Perceived value is anchored** to a product with a known price. Customers understand what a 30ml version of a 200ml product is worth.
- **Landed cost is genuinely low**, often a fraction of the full-size margin.
- **They do not cannibalise**, because a sample is not a substitute for the full size — it is an advertisement for it.
- **They seed future purchases.** A customer who tries a new product from your range because it arrived free has been introduced to a second line at zero acquisition cost.

That last effect is the one that makes samples pay for themselves twice, and it is why beauty and supplements categories have used the mechanic for decades.

## Avoid full-size giveaways of active products

Giving away the full-size version of something you actively sell creates two problems.

**Direct cannibalisation.** Customers who would have bought it now get it free. That is not a promotion, that is a discount with extra logistics.

**Price anchoring damage.** A product routinely given away develops a perceived value close to zero. Once customers learn that item X comes free above $120, buying item X at full price starts to feel like a mistake.

The exception is deliberate: giving away a product you are discontinuing or overstocked on. There the sunk cost is real and the anchoring damage does not matter because you are exiting the line anyway.

## Threshold placement

A gift threshold works best as the **second rung of a ladder**, not as a standalone offer.

A typical structure derived from an order value distribution:

- **Free shipping** at the 60th–75th percentile — the entry goal, reached by many.
- **Free gift** at roughly the 85th percentile — the stretch goal, reached by fewer.

That shape works because the second goal appears at the moment the first is met, which is exactly when a shopper would otherwise stop adding. It also means the gift is only given to genuinely larger orders, where the margin comfortably absorbs it.

Setting the gift threshold *below* free shipping inverts the logic — the cheaper reward sits above the more valuable one — and setting them at the same value wastes one of them.

## Letting the customer choose

A choice of two or three gifts consistently outperforms a single fixed gift.

The reasons are straightforward: choice raises perceived value, it increases the chance that at least one option appeals, and it produces genuinely useful preference data about your catalogue.

Keep it to three. Beyond that you add decision cost, multiply your inventory exposure across several SKUs, and make the picker interface something that needs designing rather than something that fits in the cart.

## The operational traps

This is where free gift promotions actually fail.

### Stockouts

The most common and the most damaging. The gift is not a product the customer bought, so a stockout feels like a broken promise rather than a supply issue.

Requirements:

- Reserve stock specifically for the promotion, separate from sellable inventory.
- Suppress the offer automatically the moment stock hits your reserve floor.
- Handle in-flight carts explicitly. A gift that silently disappears between cart and confirmation is worse than one that was never offered.

### Returns

If a customer returns enough of the order to fall below the gift threshold, what happens to the gift? Most policies do not say, which means the default is that the customer keeps it.

Usually that is the right answer — chasing a $4 sample is not worth the support interaction — but decide it deliberately and write it down, because at scale it is a real cost line.

### Shipping weight and packaging

A gift that changes the parcel dimensions or pushes it into the next weight bracket can cost more in freight than in goods. Check the actual packed configuration before launching, not the unit cost in a spreadsheet.

### Multiple gifts in one order

Does a $400 order get one gift or three? Almost always one. Make sure the rule is enforced in the cart logic rather than assumed.

Free items still have a customs value on international shipments and may still attract VAT depending on jurisdiction. A gift declared at zero value on a commercial invoice can cause customs delays. Check the treatment for your main export markets before rolling out internationally.

## Copy that works

The gift needs framing, not just listing.

- **Name the item and its value.** "Free 30ml travel size (worth $18)" beats "free gift" substantially, because "free gift" could be anything and the shopper assumes the worst.
- **Show it.** A product image in the progress bar or cart converts better than text alone.
- **State the gap.** "Add $23 more for a free travel size" — same pattern as the shipping bar.
- **Make the earned state obvious.** When it is unlocked, show it in the cart as a line item at $0.00 so the customer can see they have it.

## Measuring it

- **Take rate** — orders above the gift threshold as a share of all orders, before and after launch.
- **Incremental orders crossing the threshold**, not just the total above it. Some were always going to be there.
- **Gift cost as a percentage of revenue.** The direct cost.
- **Gross profit per order** above the threshold versus below it. The verdict.
- **Repeat purchase rate of the gifted product's full-size version.** This is the sampling payoff, and it usually takes a full purchase cycle to appear — often 60 to 120 days.

That last one is why sample-based gifts are frequently undervalued in a monthly report. The revenue shows up a quarter later and in a different line item, so the promotion looks more expensive than it was.

### FAQ

**What makes a good free gift with purchase?**

High perceived value relative to landed cost, genuine relevance to what the customer is already buying, and small physical size so it does not disrupt packing or shipping weight. Travel and sample sizes of your own products usually score best on all three.

**What threshold should a free gift be set at?**

Above your free shipping threshold, so the two form a ladder rather than competing. A common structure is free shipping at the sixtieth to seventy-fifth percentile of order values and a gift somewhere around the eighty-fifth, which gives shoppers who clear the first goal a reason to keep going.

**Should customers choose their gift?**

A choice of two or three increases perceived value and take rate, and gives you useful preference data. More than three adds decision cost without adding much appeal, and it multiplies your inventory exposure.

**Does a free gift cannibalise sales of that product?**

It can, which is why full-size versions of products you actively sell are usually a poor choice. Sample sizes, travel sizes, exclusive items and end-of-line stock avoid the problem because there is no full-price version competing with the giveaway.

**What happens if the gift runs out of stock?**

The offer must be suppressed the instant stock hits your reserve level, and any cart already showing the gift needs a clear message rather than a silent removal. A promised gift that fails to arrive generates more damage than the promotion generated value.

## Estimated Delivery Dates — The Most Underrated Conversion Lever in the Cart

URL: https://ninety9.dev/blog/estimated-delivery-date-shopify.html
Published: 2026-06-09 (updated 2026-09-21)
Category: Cart & Checkout · App: Addy: AI Cart Drawer & Bundles
Reading time: 7 minutes

Why showing an arrival date beats showing a shipping speed, how to calculate one you can actually honour, and where in the funnel it earns the most.

Ask a shopper what they want to know before they check out and delivery timing will be in the first three answers. Look at what most Shopify stores show them and you will find either a shipping speed, a policy link, or nothing at all.

That gap is unusual in ecommerce, because closing it is cheap, technically straightforward and produces a measurable effect on both conversion and support load. It just does not look like a growth lever, so it stays on the backlog behind things that do.

## Why a date beats a speed

"Ships in 1–2 business days, delivery 3–5 business days" is a sentence that asks the reader to do work.

To turn it into an answer they need to know: what time your cut-off is, whether today counts, whether Saturday counts, whether the two ranges are additive, and what your carrier does over a public holiday. Most people will not do that calculation. They will approximate it, get it wrong, and either accept a vague sense of "about a week" or go and look for a clearer answer somewhere else.

"Arrives Tuesday 26 August" removes all of it. There is no arithmetic, no assumption and no ambiguity. It is also, importantly, a *commitment*, which is a different psychological object from an estimate — and commitments are what shoppers use to decide.

The gap widens on mobile, where the shopper is more likely to be doing something else at the same time and much less likely to sit and work out what "3–5 business days from Thursday" means.

## What uncertainty costs you

The mechanism is specific and worth naming, because it explains where the value comes from.

A shopper in your cart who is unsure about delivery has three options. Guess and continue. Leave the cart to find your shipping policy. Or abandon.

The middle option is the expensive one, and it is the most common. It requires navigating away from the cart, finding a policy page written for legal completeness rather than for answering this question, parsing a table, and then finding their way back. Every step in that sequence is a place to lose them, and the policy page is a particularly good place to lose them because it usually does not answer the question either.

Putting the date in the cart removes the reason to leave.

"Where is my order" is consistently the largest single category of ecommerce support contact. A significant share of those tickets arrive *before* the expected delivery window has passed, from customers who never had a clear window in the first place. Setting the expectation up front removes the ticket before it is written.

## Calculating a date you can honour

The estimate is the sum of four components. Getting it right is mostly about not forgetting any of them.

1. **Order cut-off.** Orders after your daily cut-off do not start processing until the next working day. This is the component most often omitted, and it is why so many estimates are systematically one day optimistic.
2. **Processing time.** From paid to handed to the carrier. Be honest about this. If your warehouse takes two days during peak, the peak estimate is two days.
3. **Transit time.** Per carrier, per service level, per destination lane. Not one global number.
4. **Non-working days.** Weekends, and the public holidays of both the origin and destination country.

Then apply a confidence policy. You have two reasonable choices:

- **A range** — "26–30 August". Honest, easy to hit, slightly less persuasive.
- **A single date at a high percentile** — the date you hit 90% of the time, not the date you hit on a good week. Persuasive, and safe if you actually use the percentile rather than the median.

What you must not do is show the best-case date. A promise you keep two thirds of the time is worse than no promise at all, because the third of customers you miss are now customers with a specific grievance rather than a vague disappointment.

Transit times in late November are not transit times in April, and neither are warehouse processing times. An estimate engine that does not widen during peak will generate its largest volume of missed promises during the period when a missed promise costs you the most.

## Where to show it

Three surfaces, in descending order of value.

### The cart

Highest value, because this is where uncertainty converts directly into abandonment. The shopper has committed to the products and is now evaluating the transaction as a whole, and delivery timing is the largest remaining unknown.

Place it near the subtotal, in the same visual group as the shipping line. It should read as part of the transaction summary, not as a marketing message.

### The product page

Second, and it does a different job. In the cart the date removes an objection; on the product page it influences the add-to-cart decision itself, particularly for gift purchases and anything with a deadline. "Order within 4 hours for delivery Tuesday" is the strongest legitimate form of urgency available to an ecommerce store, because it is simply true.

### The order confirmation

Third, and mostly a support-cost play rather than a revenue one. Repeating the date after purchase reinforces the expectation and removes the reason for the customer to write in on day three.

## Localisation is not optional here

Of everything in a cart, the delivery estimate is the element that varies most by destination — and therefore the element most damaged by showing one global value.

Three rules:

- **Compute per destination lane.** Domestic transit time shown to an international shopper is not an estimate, it is a false claim.
- **Use the destination's calendar.** Public holidays at the destination affect final-mile delivery. So do the origin country's holidays for dispatch.
- **Format the date unambiguously.** `08/09` is 8 September in most of Europe and 9 August in the US. Spell the month.

If you cannot compute a defensible estimate for a market, show nothing there. An absent estimate is neutral. A wrong one is a liability.

## The honest limits

Delivery dates are not a magic lever and it is worth being clear about where they do not help.

- **If your delivery is genuinely slow**, showing the date will reduce conversion on those orders. That is the estimate working correctly — you are filtering out customers who would have been disappointed and become refund requests. It is a short-term loss and a long-term gain, but it is a real short-term loss.
- **If your fulfilment is unpredictable**, an estimate makes the unpredictability visible and quantifiable, which will generate complaints you were previously absorbing invisibly. Fix fulfilment first.
- **If you dropship from multiple origins**, a single order can have several arrival dates. Showing one date for a multi-origin order is worse than showing per-item dates, even though per-item dates look messier.

## What to measure

- **Cart-to-checkout rate**, before and after. This is where the effect should show up first.
- **Add-to-cart rate** on product pages that gained the estimate.
- **"Where is my order" ticket volume** as a share of orders. Expect a meaningful decline.
- **On-time delivery rate against the shown estimate.** This is the guardrail. If it drops below your target percentile, widen the estimate rather than hoping.
- **Refund and cancellation rate** for late orders specifically.

The last two are what keep this honest. An estimate engine is only as valuable as the promise it makes is reliable, and the only way to know that is to score yourself against the date you displayed rather than the date you hoped for.

### FAQ

**Should I show a delivery date or a shipping speed?**

A date. "2-4 business days" requires the shopper to know your cut-off time, your processing time and which days count as business days, and to do that arithmetic in their head. "Arrives Tuesday 26 August" answers the question they actually have. Every study of this comparison finds the date wins, and it wins by more on mobile.

**What if I cannot predict delivery reliably?**

Show a range wide enough to be honest, or show nothing for that lane. A range like "26-30 August" is far better than a single date you miss a third of the time. The cost of an unmet promise is much higher than the benefit of a tighter one.

**Does an estimated delivery date reduce support tickets?**

Substantially, yes. "Where is my order" is the single most common support contact in ecommerce, and a large share of it is generated before the expected window has even passed, by customers who never had a clear expectation set in the first place.

**Where should the delivery estimate appear?**

The cart has the highest value because that is where uncertainty causes abandonment. The product page is second because it influences the add-to-cart decision. The order confirmation is third and mostly reduces support load rather than driving revenue.

**Do delivery dates need to change per country?**

Yes, and this is the most common way stores get it wrong. A domestic transit time shown to an international shopper is not an estimate, it is a false claim. If you cannot compute the estimate for a market, do not show one there.

## Letting Customers Change Their Shipping Address After Checkout

URL: https://ninety9.dev/blog/change-shipping-address-after-checkout.html
Published: 2026-06-02 (updated 2026-09-21)
Category: Retention & Post-Purchase · App: Reviso: Order editing & Upsell
Reading time: 7 minutes

Let customers change a Shopify shipping address after checkout without tickets: zone changes, fraud checks and a safe cutoff.

Ask any ecommerce support team what they answer most often after "where is my order" and the answer will be some version of "I put the wrong address".

It is the most common post-purchase request, it is almost entirely mechanical, and in most stores it is handled by a person reading an email, opening the admin, checking the fulfilment status and typing an address into a form. Six to eight minutes of skilled labour for something that is, technically, a database update.

## Why it happens so often

Address errors are not carelessness. They are structural.

- **Autofill inserts a stale address.** The browser remembers where someone lived two years ago.
- **The customer is buying a gift** and enters their own address by reflex.
- **They moved recently** and typed the old one from muscle memory.
- **A unit or apartment number is missing**, which is the single most common cause of a failed delivery.
- **They meant to ship to work** and did not switch.
- **Express checkout used a saved address** they had forgotten about.

None of these are preventable at checkout, because in every case the customer believed the address was right at the time. The error is discovered afterwards, when the confirmation email arrives and they actually read it.

Which means the confirmation email is the moment of highest detection — and it is also, conveniently, before you have printed anything.

Most address errors are noticed within minutes of the confirmation email. Most orders are not fulfilled for hours. That overlap is the entire opportunity, and it is wide enough that even a short self-service window catches the large majority of cases.

## What a failed delivery actually costs

Worth quantifying, because it is the number that justifies building this.

A parcel sent to a wrong or incomplete address will typically:

1. Attempt delivery and fail.
2. Sit at a depot, then return to sender — a second shipping leg, often charged at a premium.
3. Arrive back and need inspecting and restocking.
4. Trigger a refund or a reship, plus the support conversation around it.

So the direct cost is roughly outbound shipping plus return shipping plus restocking labour. On top of that, a meaningful share of customers who experience a failed delivery simply do not reorder — so a portion of the time you also lose the order and the customer.

Set against that: the cost of letting the customer fix their own address in the four hours before you print a label is essentially zero.

## The rules you need

Self-service address editing is safe, but not unconditionally. Five rules cover almost everything.

### 1. Close the window at fulfilment

Non-negotiable. Once a label exists, the destination is fixed. Changing it means a carrier intercept, which is slow, frequently chargeable, sometimes impossible, and never a good customer experience.

The interface should reflect the order state rather than relying on a policy. When the order is fulfilled, the address edit option is not there.

### 2. Validate the new address

Run the replacement through the same validation as checkout. An unvalidated correction can easily be worse than the original error — someone fixing a typo can introduce a different one.

Where you have address autocomplete at checkout, use it here too.

### 3. Handle zone changes explicitly

If the new address falls in a different shipping zone, three options:

- **Recalculate and collect the difference.** Correct, and adds friction.
- **Restrict to the same zone.** Simplest, and covers the majority of genuine corrections since most are a typo in the same city.
- **Absorb the difference.** Fine at low volume, an unmanaged cost line at scale.

For international orders this matters more than the shipping cost, because a country change alters duty treatment, tax and sometimes whether you can legally ship the product at all. Cross-border address changes should generally be blocked and routed to support.

### 4. Add fraud controls

There is a known pattern: place an order with a verified billing address to pass fraud screening, then redirect the parcel elsewhere after the fact.

Reasonable mitigations without punishing legitimate customers:

- Restrict changes to the same country.
- Block changes above an order value threshold, and route them to manual review.
- Require an authenticated session rather than accepting a link from an email alone.
- Log every change with a timestamp and IP address.
- Flag any order where the address changes more than once.

### 5. Notify everyone involved

An address change must propagate. The customer gets a confirmation showing the new address in full. Your fulfilment system gets the update before picking. If a 3PL or warehouse management system is involved, confirm that the change reaches it — a change that updates Shopify but not the WMS is worse than no change at all, because now two systems disagree and the wrong one is holding the parcel.

This is the most common way self-service address editing goes wrong. Shopify shows the new address, the warehouse has already downloaded the old one, and the parcel ships to the original destination with a confirmation email saying otherwise. Verify the integration handles updates, not just creations, before enabling this.

## Where to put it

Three surfaces, all worth having.

**The order confirmation email.** The highest-value placement by a wide margin, because it coincides with the moment of detection. A visible "Need to change your address?" link, not buried in the footer.

**The customer account order page.** Where people look when they think about their order later.

**The order status page.** Shopify's post-purchase page is where customers land from tracking links, and it is a natural home for edit actions.

## The upside beyond cost saving

A customer on your address-edit screen is a customer who has just come back to your site, deliberately, with their order in mind, before it has shipped.

Two things follow from that:

**Adding an item costs you nothing in fulfilment.** The parcel has not been packed. An extra item goes in the same box, on the same label, with the same handling. The marginal fulfilment cost of an add-on at this moment is close to zero, which is not true anywhere else in the journey.

**The friction is already cleared.** They are authenticated, their payment method is on file, and the shipping decision is made. An additional purchase is fewer clicks here than on any storefront page.

Keep the offer secondary — the customer came to fix an address and the address field must be the first thing they see — but the slot below it is one of the highest-converting placements you own.

## Rollout

1. **Same-country address changes only**, before fulfilment, validated. This alone handles the majority of requests.
2. **Add the link to the confirmation email**, which is where the detection happens.
3. **Verify the fulfilment integration** propagates updates. Test with a real order.
4. **Add fraud rules** — value threshold, authentication requirement, change logging.
5. **Add the recommendation block** below the address form.
6. **Then consider** zone-change handling with rate recalculation, if the restriction is generating support volume.

## Measuring it

- **Address-change support tickets per 100 orders**, before and after. The primary metric, and it should move within two weeks.
- **Self-service address change rate** — changes made ÷ orders eligible.
- **Failed delivery rate.** The slower, more valuable metric.
- **Return-to-sender volume and cost.**
- **Revenue from items added during an address edit.** The upside.
- **Fraud rate on orders with a changed address**, compared with baseline. The guardrail — if it rises, tighten the rules.

### FAQ

**Can a customer change their shipping address on a Shopify order?**

Not through any native self-service interface. A merchant can edit the shipping address from the Shopify admin, but the customer has no built-in way to do it themselves, which is why this request dominates post-purchase support queues.

**How late can a shipping address be changed?**

Safely, up to the moment the order is fulfilled and a label is generated. After that the address on the label is fixed and changing the destination requires a carrier intercept, which is slow, often chargeable, and not always successful.

**What if the new address is in a different shipping zone?**

Either recalculate and collect the difference, or restrict the change to addresses within the same zone. Silently absorbing a zone change works at low volume and becomes an unmanaged cost at scale, particularly on international orders where duty treatment also changes.

**Is allowing address changes a fraud risk?**

There is a known pattern where a fraudulent order is placed with a verified billing address and then redirected. Mitigate it with rules - restrict changes to the same country, block changes on high-value orders, and require the account to be logged in rather than accepting a link alone.

**How much does a failed delivery actually cost?**

The outbound shipping, the return leg, the restocking labour, and frequently the entire order because a meaningful share of customers do not reorder after a failed delivery. Against that, the cost of letting the customer correct their own address before dispatch is close to zero.

## BOGO on Shopify — When Buy One Get One Works and When It Destroys Margin

URL: https://ninety9.dev/blog/bogo-offers-shopify.html
Published: 2026-05-26 (updated 2026-09-21)
Category: Shipping & Fulfilment · App: Goalify: Free Shipping Bar PRO
Reading time: 7 minutes

The four BOGO variants on Shopify, the margin floor each needs, and the categories where BOGO actually beats a straight discount.

Buy one get one free is arithmetically a 50% discount on two units. It does not feel like one, which is exactly why it is used, and exactly why it is dangerous.

The perception gap is real and well documented: shoppers rate "buy one get one free" more favourably than "50% off two", despite the identical outcome. That gap is worth money. It is also worth exactly nothing if your gross margin cannot absorb the arithmetic.

## The four variants and what each costs

| Variant | Effective discount on the pair | Minimum gross margin to break even |
|---|---|---|
| Buy 1 get 1 free (same item) | 50% | ~50% |
| Buy 1 get 1 half price | 25% | ~25% |
| Buy 2 get 1 free | 33% | ~33% |
| Buy X get Y free (cheaper item) | Depends on price ratio | Typically 25–35% |

"Break even" here means the gross profit on the promoted pair matches the gross profit on a single unit sold at full price. It is a floor, not a target — and it assumes zero cannibalisation, which is never true.

## Why BOGO free is usually the wrong choice

At a 55% gross margin, a $40 product yields $22 of gross profit.

Give one away free and you have sold two units for $40. Your cost of goods is now $36, so your gross profit on the pair is $4 — against $22 for a single full-price sale.

That is only worthwhile if the promotion creates a large number of buyers who would otherwise have bought nothing at all. In most categories it does not. It creates buyers who would have bought one.

Run the comparison properly, per 100 promotion buyers, at a 55% margin on a $40 product:

| Scenario | Would have bought 1 | Would have bought 0 | Gross profit | Baseline (no promo) | Net |
|---|---|---|---|---|---|
| Pessimistic | 80 | 20 | $400 | $1,760 | **−$1,360** |
| Realistic | 60 | 40 | $400 | $1,320 | **−$920** |
| Optimistic | 30 | 70 | $400 | $660 | **−$260** |

At 55% margin, BOGO free loses money even in the optimistic case. You need margin well above 60% before the arithmetic works — which is why BOGO free is common in categories like fashion accessories, cosmetics and supplements, and rare in electronics or food.

The single question is: what is my gross margin on the promoted item? If the answer is below sixty percent, BOGO free is almost certainly the wrong instrument, and buy one get one half price will produce a similar perception at half the cost.

## Buy one get one half price: the workhorse

The variant that works for most stores.

Effective discount on the pair is 25%, which most healthy consumer margins absorb comfortably. It still reads as a two-for-one style offer rather than as a percentage discount, so it keeps a good share of the perception advantage.

At the same $40 product with 55% margin: two units sell for $60, cost of goods $36, gross profit $24 — *higher* than the $22 from a single full-price sale. The promotion is profitable from the first cannibalised customer onward, which is a completely different risk profile.

## Cross-category BOGO is usually better

"Buy any jacket, get a beanie free" beats "buy one jacket get one free" on nearly every dimension.

- **Lower cost**, because the free item is cheaper than the anchor.
- **No cannibalisation of the anchor**, since you are not giving away a second unit of something the customer wanted one of.
- **Introduces a second product line**, which has downstream value the same way a sample does.
- **No price anchoring damage** to your hero product.

The main design constraint is relevance. The free item must be something the customer plausibly wants, or the offer reads as clearing out dead stock — which, if that is what it is, will be obvious.

## Where BOGO genuinely works

The format performs where **consumption scales with supply** — where having two means using two, rather than using one and storing the other.

Good fits:

- **Consumables with flexible usage.** Skincare, supplements, cleaning products, snacks. Having more leads to using more.
- **Items that wear out or get lost.** Socks, phone cables, hair ties.
- **Gifting categories**, where the second unit has an obvious separate recipient.
- **Seasonal items with short windows**, where clearing stock has its own value.
- **Trial-driving cross-category offers**, where the free item introduces a new line.

Poor fits:

- **Durables.** Nobody needs two kettles.
- **Slow consumables with a fixed cycle.** If a bottle lasts three months, two bottles last six, and you have discounted a sale you were going to make at full price anyway.
- **High-consideration purchases** where the decision is about which, not how many.
- **Low-margin categories**, for the arithmetic above.

Ask: if this customer takes the second unit, when will they next buy from me? If the answer is "later than they otherwise would have", the promotion has moved revenue in time rather than created it — and you paid a discount for the privilege.

## Operational details

**Which item is free?** The cheaper one. State it explicitly in the offer terms; customers who expect the more expensive one to be free will feel misled, and support will spend their week on it.

**Mixed variants.** Can they combine a small and a large? Usually yes, and usually the lower-priced variant is the free one. Decide it and enforce it in the rules.

**Stacking.** BOGO plus a site-wide code plus a free shipping threshold produces an effective discount well beyond what you modelled. Either exclude BOGO items from code stacking or raise the free shipping threshold for orders containing one.

**Returns.** If a customer returns the paid item and keeps the free one, what is the refund? The standard answer is to refund the paid amount minus the value of the retained free item. Write the rule down before it happens.

**Inventory.** BOGO consumes stock at twice the rate of a normal promotion. A BOGO that sells out in a day is a marketing cost with no revenue attached.

## Presentation

- **Show the saving as currency, not percentage.** "Save $40" is the point of BOGO. Converting it to a percentage discards the reason you chose the format.
- **Show the second item as a $0.00 line** in the cart, so the customer can see it landed.
- **Auto-add where you can.** Requiring the customer to manually add the second item to qualify loses a share of the take rate to confusion.
- **State the terms in one line.** "Add 2 items, cheapest is free. Discount applied at checkout."
- **Give it an end date.** An indefinite BOGO becomes the price. The perception advantage evaporates once it is permanent.

## Measuring it

- **Units per order** on promoted products, versus baseline.
- **Effective discount rate** — total discount ÷ promoted revenue, including any stacking.
- **Gross profit per order** during the promotion versus the comparable period before.
- **Post-promotion dip.** The critical one. Track sales of the promoted product for the four weeks *after* the promotion ends. A deep trough means you pulled demand forward rather than creating it, and the promotion's true cost includes that trough.
- **New customer share** of promotion buyers. If it is high, the promotion is doing acquisition work and deserves to be judged partly on lifetime value rather than on first-order margin.

### FAQ

**Is BOGO the same as a fifty percent discount?**

Buy one get one free is arithmetically identical to fifty percent off two units, but it does not read that way to shoppers, who consistently rate it as a better deal. That perception gap is the entire reason to use the format, and it is also why it is easy to run at a loss without noticing.

**What margin do I need to run BOGO free?**

Above fifty percent gross margin just to break even on the pair, and realistically above sixty percent to make it worthwhile once shipping and returns are included. Below that threshold, use buy one get one half price or a percentage discount instead.

**Does BOGO work better than a percentage discount?**

It depends on the category. BOGO performs well where a second unit is genuinely useful - consumables, socks, seasonal items, gifting. It performs poorly where the second unit simply postpones the next purchase, because you have discounted a sale you would have made anyway at full price.

**Should the free item be the cheaper or the more expensive one?**

The cheaper one, almost always. "Get the lower-priced item free" is standard, it protects margin, and shoppers expect it. Discounting the more expensive item makes the offer significantly more costly with only a marginal increase in appeal.

**Can BOGO cannibalise full-price sales?**

Yes, and this is the main hidden cost. Customers who would have bought one unit at full price now buy two at an effective discount. If your baseline repeat-purchase cycle is short, you may simply be pulling forward a sale you were going to make anyway.

## The Shopify Cart Abandonment Checklist — 21 Fixes Ranked by Effort

URL: https://ninety9.dev/blog/shopify-cart-abandonment-checklist.html
Published: 2026-05-19 (updated 2026-09-21)
Category: Cart & Checkout · App: Addy: AI Cart Drawer & Bundles
Reading time: 7 minutes

Every common cause of cart abandonment, what each one actually costs, and how long it takes to fix — ordered so you can start at the top and work down.

Cart abandonment is usually discussed as a single number, which makes it feel like a single problem. It is not. It is twenty or so separate problems that happen to share an outcome, and they have wildly different costs and wildly different fix times.

This is the full list, ordered so you can start at the top.

## First, measure the right thing

Before fixing anything, make sure you are measuring the stage that is actually leaking.

- **Cart-to-checkout rate** — shoppers who created a cart and reached the checkout page. Leakage here is about cost, delivery, trust and cart design.
- **Checkout completion rate** — shoppers who reached checkout and paid. Leakage here is about form friction, payment methods and account requirements.

They have almost no overlap in causes. Fixing checkout forms when your problem is an unexpected shipping fee is a quarter spent on the wrong thing.

## Tier 1 — under an hour, no developer

### 1. Show shipping cost before checkout

The largest single cause of abandonment, and the cheapest to fix. Put an estimate in the cart, or a flat rate on the product page, or a free shipping threshold. Anything except a surprise at step four.

### 2. Add a free shipping progress bar

Turns the shipping conversation from a cost into a goal. Set the threshold from the 60th–75th percentile of your order value distribution, not from your average.

### 3. Show an estimated delivery date

A date, not a speed. Removes the most common reason a committed shopper leaves the cart to go and look something up.

### 4. Make the variant obvious in the cart

"Blue / Large" visible without hovering. Ambiguity here sends shoppers to a second tab to double-check, and second tabs are where sessions die.

### 5. Put returns policy in the cart

One line, not a link. "Free 30-day returns" as text beats a link to a policy page, because the link requires leaving.

### 6. Remove the discount code field, or hide it

An empty discount code box tells every shopper that a code exists and they do not have it. Many will leave to search for one. Collapse it behind a small "Have a code?" toggle, or remove it entirely and use automatic discounts.

A shopper who leaves to search for a discount code lands on a coupon aggregator full of ads for your competitors. This is a self-inflicted wound and it is fixed with a CSS change.

## Tier 2 — an afternoon

### 7. Enable express checkout

Shop Pay, Apple Pay, Google Pay, PayPal. On mobile these convert dramatically better than a form because they skip data entry entirely. Place them below your primary checkout button, not above it.

### 8. Turn off required account creation

Guest checkout should be the default path. Offer account creation after the order, on the confirmation page, where it costs nothing.

### 9. Add trust signals to the cart

Payment security, support availability, returns window. Small and quiet. This matters most for first-time visitors and can be conditioned to show only for them.

### 10. Fix the mobile cart

Open your cart on a real mid-range Android phone. Check that the checkout button is reachable with a thumb, that nothing overlaps the home indicator, and that the drawer scrolls without trapping the page behind it.

### 11. Add a cart drawer instead of a cart page

Keeps the shopper in context. Removes a full navigation cycle from the add-more-items path.

### 12. Localise the cart

Currency, language, delivery estimate and threshold per market. A domestic promise shown internationally is a broken promise.

## Tier 3 — a week

### 13. Audit checkout field count

Every optional field you can remove is a small conversion gain. Company name, address line 2 and phone number are the usual suspects. Phone in particular should be optional unless your carrier genuinely requires it.

### 14. Add relevant in-cart upsells

Counter-intuitively this can *improve* cart-to-checkout rate, not just AOV, because a well-chosen accessory makes the purchase feel more complete. It can also hurt it if you add too many. Two offers maximum, measured against a guardrail.

### 15. Fix your page speed

Cart interactions that take more than a moment to respond feel broken. Measure the time from add-to-cart click to drawer visible on a throttled connection. Anything over a second is a problem.

### 16. Handle out-of-stock gracefully

An item going out of stock between add and checkout should produce a clear message and a suggested alternative, not a generic error at the payment step.

### 17. Add duties and tax clarity for international orders

Delivered-duty-unpaid orders that surprise the customer with a customs bill generate refusals, returns and one-star reviews. State the position in the cart.

### 18. Offer more payment methods where they matter

iDEAL in the Netherlands, Klarna in the Nordics, Bancontact in Belgium. A missing local payment method is close to a hard block, not a preference.

## Tier 4 — ongoing

### 19. Recover with email and SMS

Worth running, and worth being honest about: recovery is a safety net. Every cart it saves is one you paid to acquire twice. First message within an hour, second at 24 hours, stop at three.

### 20. Add exit-intent offers at the cart stage

For shoppers who are leaving anyway, there is no conversion left to lose. One relevant offer, triggered on the leave signal rather than on a timer.

### 21. Run a post-purchase survey

Ask the customers who *did* buy what nearly stopped them. It is the cheapest qualitative research available and it consistently surfaces causes that analytics cannot see.

## The ranked summary

| # | Fix | Effort | Typical impact |
|---|---|---|---|
| 1 | Show shipping cost before checkout | Minutes | Very high |
| 2 | Free shipping progress bar | Minutes | High |
| 3 | Estimated delivery date | Hour | High |
| 7 | Express checkout methods | Hour | High on mobile |
| 8 | Remove forced account creation | Minutes | High |
| 6 | Hide the discount code field | Minutes | Medium |
| 11 | Cart drawer instead of cart page | Hours | Medium |
| 12 | Localise the cart | Day | High if international |
| 13 | Reduce checkout fields | Day | Medium |
| 18 | Local payment methods | Days | Very high in affected markets |
| 19 | Recovery email flow | Day | Medium |

## What not to do

Three tactics that appear on most abandonment listicles and should not be on yours:

- **Fake countdown timers.** A timer that resets on refresh is a false statement about your commercial terms. It is enforceable as one in several jurisdictions and shoppers notice more often than you expect.
- **Fabricated stock scarcity.** "Only 2 left" when there are two hundred is the same problem with a different label.
- **Exit popups on every page.** Exit intent belongs at the cart and checkout stage, where the shopper has demonstrated purchase intent. On a collection page it is just an interruption.

The pattern is consistent: tactics that lie work briefly and then stop working, and they take your review score with them. Everything in the twenty-one above works because it removes a real obstacle, which means it keeps working.

### FAQ

**What is a normal cart abandonment rate?**

Around seventy percent is the widely cited figure across ecommerce, and it has been stubbornly stable for a decade. Your own rate matters more than the benchmark, and the useful version of the metric is measured from cart creation to order rather than from session start, because the latter mixes in browsing that was never going to convert.

**What causes most cart abandonment?**

Unexpected cost at checkout, consistently. Shipping fees, taxes and duties revealed at the final step account for a larger share than any other single cause. The rest is spread across account creation requirements, slow or confusing checkout, payment method gaps, delivery uncertainty and simple comparison shopping.

**Do abandoned cart emails work?**

They recover a meaningful minority of carts and are worth running. They are not a substitute for fixing the cart, because every cart the email recovers is one you also paid to acquire twice and delayed by hours. Treat recovery as a safety net rather than a plan.

**Should I show shipping costs before checkout?**

Yes. Hiding shipping until the final step reliably produces the largest abandonment spike in the funnel. Either display an estimate in the cart, offer a threshold that makes it free, or state the flat rate on the product page. Any of the three beats a surprise.

**How do I know which fix to do first?**

Look at where in the funnel the drop happens. A large gap between cart and checkout points at cost, delivery uncertainty or trust. A large gap inside checkout points at form friction, payment options or account requirements. Fix the stage that leaks, not the one that is easiest to change.

## Shopify Product Bundles — Every Type, the Pricing Maths, and What Converts

URL: https://ninety9.dev/blog/shopify-product-bundles-guide.html
Published: 2026-05-05 (updated 2026-09-21)
Category: Bundles & Upsells · App: Addly: AI Bundles app & Upsell
Reading time: 7 minutes

The eight bundle types that work on Shopify, how to price each one without eroding margin, and how to tell which of them fits your catalogue.

Most bundle advice starts with layout. Grid or slider, two columns or three, badge in the corner or across the image.

None of that is why bundles succeed or fail. Bundles succeed or fail on two things: whether the combination answers a question the customer is actually asking, and whether the maths underneath is profitable. Everything else is decoration on top of those two decisions.

## Match the bundle to the question

Every shopper looking at a product page is asking one of three questions. The bundle type that works is the one that answers the question they are asking.

| Their question | Bundle type | Why it fits |
|---|---|---|
| "Which one should I get?" | Curated fixed bundle | You have made the decision for them |
| "How many should I get?" | Quantity break | Reframes the choice from *whether* to *how many* |
| "What else do I need?" | Cross-sell / frequently bought together | Completes a set they already understand |
| "Can I make this mine?" | Mix-and-match, build-a-box | Control is the value, discount is secondary |
| "Is this worth trying?" | Sample pack | Reduces the risk of an unfamiliar category |

Selling a build-a-box to someone asking "which one should I get?" gives them more decisions when they wanted fewer. Selling a curated set to someone who wants control feels restrictive. The mismatch, not the offer, is usually what kills the take rate.

## The eight types that work on Shopify

### Fixed bundle

A defined set at a defined price. Highest margin control, lowest flexibility. Best when your expertise is the value — a starter kit, a routine, a complete setup.

The failure mode is including one item nobody wants. A fixed bundle is only as attractive as its weakest component, because the shopper mentally subtracts the item they will not use from the value.

### Quantity break

Buy 2 save 10%, buy 3 save 15%. The simplest bundle to run and often the most profitable, because it requires no pairing logic and no new product decisions.

Works on consumables, replenishables, and anything where the real question is *how many*. Does not work on considered single purchases.

### Mix-and-match

Pick any three from this collection, get a discount. Combines choice with a reason to buy more, and it works particularly well when your catalogue has genuine variety within a category — flavours, scents, colours.

### Build-a-box

A structured version of mix-and-match with slots: pick one base, two add-ons, one extra. The structure is what makes it work; unlimited choice produces abandonment, constrained choice produces engagement.

### Multipack

The same product in a larger unit. Effectively a quantity break presented as a product. Useful when the multipack has its own logic — a case, a family size, a travel set.

### Gift box

Seasonal, curated, and presentation-led. The discount matters much less here than the packaging and the framing, because the buyer is not the user.

### Sample pack

Low price, low risk, high information value. A paid product trial that improves AOV rather than costing acquisition budget. Excellent for categories where the customer cannot judge fit before trying.

### Frequently bought together

Not strictly a bundle — a data-driven cross-sell presented as one. The most reliably converting of the lot when the pairs come from real order history rather than category tags.

## The maths that decides profitability

Here is the calculation almost nobody runs before launching a bundle.

A bundle is profitable when the gross profit from **incremental** units exceeds the discount given to **cannibalised** units.

Concretely. You sell product A at $40 with a 55% margin ($22 gross profit) and product B at $25 with a 55% margin ($13.75). You bundle them at 15% off, so the pair sells for $55.25 instead of $65, giving away $9.75.

Of 100 people who buy the bundle:

- Some number would have bought both anyway. Every one of these costs you $9.75.
- Some number would have bought only A. Each of these gains you B's gross profit minus the discount: $13.75 − $9.75 = $4.
- Some number would have bought nothing. Each gains you the full bundle profit: $35.75 − $9.75 = $26.

| Split | Cannibalised | A-only upgraders | New buyers | Net effect per 100 |
|---|---|---|---|---|
| Pessimistic | 60 | 35 | 5 | −$585 + $140 + $130 = **−$315** |
| Realistic | 30 | 55 | 15 | −$292 + $220 + $390 = **+$318** |
| Optimistic | 15 | 60 | 25 | −$146 + $240 + $650 = **+$744** |

The same bundle, the same discount, three completely different outcomes — driven entirely by cannibalisation rate.

Cannibalisation rate is the share of bundle buyers who would have bought everything in the bundle anyway. You can estimate it from your baseline attach rate: if 45% of people who buy A already buy B before you launch any bundle, your floor for cannibalisation is roughly 45%.

## Setting the discount

Three principles, in order of importance.

**Deep enough to be visible, shallow enough not to be the reason.** If your bundle only moves at 30% off, the combination is not solving a problem and you are just running a sale with extra steps.

**Never below your incremental margin floor.** The discount must leave more gross profit than you would have made selling the anchor item alone. This is the hard constraint.

**Show the saving both ways.** "$9.75 off" and "Save 15%" are the same fact, but shoppers anchor on whichever number is larger. On a $65 bundle, the percentage looks better. On a $400 bundle, the currency amount does. Show both and let them pick.

## Dynamic bundles, not bundle SKUs

Two ways to build a bundle on Shopify, and only one of them is maintainable.

**As a separate product.** You create a new SKU, set a price, and manage its inventory. This immediately breaks: stock levels for the component products no longer reflect reality, reporting double-counts, and a customer who buys the bundle and returns one item creates a mess.

**As a dynamic offer.** The real products go in the cart and a discount applies at cart or checkout level. Inventory stays truthful, reporting works, partial returns are trivial, and you can change the bundle composition without creating a new SKU.

Use dynamic bundles unless you are physically packing and shipping a distinct product, in which case it genuinely is a separate SKU.

Dynamic bundle discounts interact with your other Shopify discounts according to your discount combination settings. Test the worst case: a bundle plus a site-wide promo code plus free shipping, on your lowest-margin product. Some stores discover their true floor only after a bad weekend.

## Placement

**Product page** for curated bundles and quantity breaks. The shopper is still deciding, which is when a better option can change the outcome.

**Cart** for accessories and completion offers. The decision is made, so additive offers cost nothing.

**Both** is usually worse than either. Running the same offer on the product page and in the cart tends to lower the take rate of both, because the second showing reads as pressure rather than as a suggestion.

## Measuring bundle performance

Per bundle, not in aggregate:

- **Take rate** — bundle purchases ÷ views of the offer. Tells you about relevance.
- **Incremental units** — units sold in bundles minus your pre-bundle baseline attach rate. Tells you whether it created anything.
- **Effective discount rate** — total discount given ÷ total bundle revenue. Tells you what it actually cost, which is usually higher than the headline number once stacking is included.
- **Gross profit per bundle order** compared with your non-bundle average. The only number that decides whether to keep it.

Retire bundles that fail the last one, even when the take rate looks flattering. A popular bundle that loses money loses money faster the more popular it becomes.

### FAQ

**What is the best type of bundle for a Shopify store?**

It depends on the question your customer is asking. If they know what they want and are deciding how many, use quantity breaks. If they are unsure what goes together, use a curated fixed bundle. If they want control, use mix-and-match or build-a-box. If they have already chosen and just need accessories, use a cross-sell rather than a bundle.

**How much should I discount a bundle?**

Enough to be visible, not enough to be the reason. A discount in the ten to twenty percent range is usually sufficient to make a bundle feel like a deal without becoming the primary driver. If your bundle only sells at thirty percent off, the bundle is not solving a problem and the discount is doing all the work.

**Do bundles hurt margin?**

They hurt margin whenever they are bought by customers who would have purchased every item anyway. That is cannibalisation, and it is the real cost of a bundle. A bundle is profitable when the incremental units it creates outweigh the discount given to customers who needed no persuasion.

**Should bundles be separate products or dynamic offers?**

Dynamic offers in almost all cases. Creating a bundle as a separate SKU duplicates inventory management, breaks stock tracking on the component items and makes reporting harder. Dynamic bundles apply a discount to the real products at cart level and keep your inventory truthful.

**Where should bundle offers appear?**

The product page for curated and quantity offers, because that is where the shopper is still deciding. The cart for accessories and completion offers, because the decision is already made. Running the same offer in both places usually reduces the take rate of both.

## Post-Purchase Upsells — Why the Best Offer Comes After the Sale

URL: https://ninety9.dev/blog/post-purchase-upsell-strategies.html
Published: 2026-05-04 (updated 2026-09-21)
Category: Retention & Post-Purchase · App: Reviso: Order editing & Upsell
Reading time: 7 minutes

Shopify post-purchase upsells on the thank-you page, order-edit screen and pre-dispatch window — the least contested offer surfaces.

Every upsell before checkout is a trade. You are asking for attention at a moment when attention is the scarce resource, and every additional element on the path to payment carries some risk of losing the order entirely.

After checkout that trade disappears. The money is banked. The offer can fail completely and you are no worse off than if you had never made it.

This is not a small structural advantage. It is the reason post-purchase deserves more attention than it usually gets, and it applies to three distinct surfaces with quite different properties.

## The three surfaces

### 1. The thank-you page

Highest traffic — every single customer passes through it. Attention is genuinely high for the first few seconds because people want to confirm the order went through.

**Strengths:** universal reach, high initial attention, natural place for a one-click add.

**Weaknesses:** the customer's primary goal is confirmation, and the window is short. Many leave within seconds of seeing the order number.

**What works:** a single, obviously-related offer with a one-click accept. Order details visible first, offer second.

### 2. The order confirmation email

Reaches everyone, gets opened at extremely high rates — confirmation emails are among the most-read messages any store sends.

**Strengths:** near-universal open rate, arrives at the moment people are re-engaging with the purchase, easy to include an edit link alongside.

**Weaknesses:** an email cannot complete a transaction. Every offer here is a click away from the site, and email clients mangle complex layouts.

**What works:** a simple "forgot something? add to your order before it ships" link, and a low number of visually simple recommendations.

### 3. The order edit screen, before dispatch

The strongest surface, and the one most stores do not have.

**Strengths:**

- The customer arrived deliberately. Nobody is being interrupted.
- The order has not shipped, so an added item goes in the same box on the same label. The marginal fulfilment cost is essentially zero.
- Payment details are already on file.
- They are, by definition, thinking about the order right now.

**Weaknesses:** only reaches customers who come back to manage their order, which is a subset.

**What works:** contextual recommendations below the primary task, framed as convenience rather than promotion.

On a pre-checkout upsell you gain revenue and margin. On a pre-dispatch add-on you gain revenue, margin and the shipping economics, because the incremental item costs nothing extra to deliver. That is the highest-margin incremental sale available anywhere in the business.

## What to offer

Ranked by how reliably it works.

**1. Accessories for what they just bought.** The phone case, the extra filter, the matching strap. The relevance is self-evident and the customer does not have to think.

**2. Quantity top-ups on consumables.** "Add a second one and save." No new decision — they have already decided they want this thing.

**3. Items they viewed and did not buy.** You know what they considered. The friction that stopped them the first time is now largely gone.

**4. Free shipping top-up.** Only if they are below a threshold and now adding items anyway. Works well on the edit screen, poorly on the thank-you page.

**5. Subscription conversion.** For consumables, the post-purchase moment is a natural place to offer recurring delivery — they have just demonstrated the need.

**6. Warranty or protection.** Higher-margin, and genuinely useful on considered purchases.

Note the ordering. Discounted unrelated products do not appear, because they do not work. Relevance is doing the heavy lifting on every one of these.

## What to avoid

**Delaying the confirmation.** If the customer cannot see their order number until they have dismissed an offer, you have made the single most important post-purchase job harder in exchange for a small conversion rate on the offer. The support cost exceeds the revenue.

**Sequences.** Two offers is the practical ceiling, and the second should be an upgrade of the first rather than a new pitch. Three or more converts the confirmation into a funnel, and customers notice.

**Countdown timers on the confirmation page.** Manufacturing urgency immediately after taking someone's money reads as manipulative in a way it does not pre-purchase.

**Offers that require re-entering payment details.** If the customer has to type a card number again, the offer will not convert. Use the stored payment method through Shopify's post-purchase capabilities.

**Discounts that undercut the order just placed.** Offering a code that would have made their completed order cheaper produces a support ticket, not a second sale.

The most common post-purchase support question is where the order is. Any design that pushes tracking or order details below promotional content will increase that volume. Keep the informational content first and the offer clearly secondary - the revenue is not worth the queue.

## Sizing the incentive

A useful frame: on a pre-dispatch add-on, your incremental cost is the cost of goods and nothing else. No additional shipping, no additional handling, no additional payment processing beyond the marginal fee.

That means you can afford a deeper incentive than you could on the same item sold standalone — but usually should not, because the data consistently shows relevance outperforming depth on this surface.

A reasonable default is a small incentive, in the range of five to ten percent, framed as a convenience of adding to an existing order rather than as a discount. The offer is doing its work through relevance and zero-friction checkout, not through price.

## The cannibalisation question

A fair objection: are you selling something the customer would have bought at full price later?

Sometimes, yes. The mitigation is the same as anywhere else — check whether total revenue per customer over a period rises, not just whether the offer converts.

Two things work in your favour here specifically:

- The alternative for many of these items is that the customer buys the accessory elsewhere, or not at all. Accessory attachment rates on separate visits are low.
- Consolidating two purchases into one shipment saves you a full fulfilment cycle, which often covers the incentive by itself.

Measure it properly, but the balance on this surface is unusually favourable.

## Rollout

1. **A single accessory recommendation on the thank-you page**, below the order details, with one-click add.
2. **An "add to your order" link in the confirmation email**, pointing at the edit screen.
3. **Recommendations on the edit screen**, below the primary edit form.
4. **Viewed-not-purchased items** as a second recommendation source once the first is working.
5. **Subscription or replenishment offers** for the consumable subset of the catalogue.

Do not start with a multi-step post-purchase funnel. Start with one relevant item on one surface and read the numbers.

## Measuring it

- **Attach rate** per surface — offers accepted ÷ offers shown. Expect the edit screen to lead comfortably.
- **Incremental revenue per order**, which is the number that matters more than attach rate.
- **Total revenue per customer over 60 days**, versus a holdout. This is the cannibalisation check.
- **Support contacts about the confirmation or tracking.** The guardrail. If this rises, the offer has crowded out the information.
- **Fulfilment exceptions.** Items added late must reach the warehouse before picking. If they do not, this shows up as short-shipped parcels.
- **Refund rate on added items**, compared with the same items sold normally. A materially higher rate suggests the offer is persuading rather than helping.

### FAQ

**What is a post-purchase upsell?**

An offer shown after the customer has completed checkout - on the thank-you page, in the order confirmation, or on an order management screen before dispatch. The defining characteristic is that the original order is already secured, so the offer cannot reduce conversion rate.

**Do post-purchase upsells hurt conversion rate?**

No, and that is the central argument for them. The transaction has completed before the offer is displayed. The only risk is to customer experience, and that is a design problem rather than a structural one.

**Which post-purchase surface performs best?**

The pre-dispatch order edit screen, because the added item ships in the same parcel at no additional fulfilment cost and the customer arrived deliberately rather than being interrupted. The thank-you page has the highest traffic; the edit screen has the highest intent.

**Should post-purchase offers be discounted?**

A modest incentive helps, but relevance matters far more than depth. An accessory that obviously belongs with the item just purchased will outperform a heavily discounted unrelated product, and it protects your margin.

**How many post-purchase offers should I show?**

One, or at most two if the second is a direct upgrade of the first. Sequences of three or more read as a funnel rather than a service, and the incremental revenue does not cover the damage to the confirmation experience.

## Stacked Cart Goals — The Multi-Threshold Model That Beats a Single Bar

URL: https://ninety9.dev/blog/stacked-cart-goals.html
Published: 2026-04-28 (updated 2026-09-21)
Category: Shipping & Fulfilment · App: Goalify: Free Shipping Bar PRO
Reading time: 7 minutes

How to stack Shopify cart goals: a three-tier reward ladder beyond one free-shipping bar, so AOV keeps moving across order values.

A free shipping threshold at $70 does one job: it influences shoppers whose basket lands somewhere between about $45 and $70.

Everybody below that range is too far away for the goal to feel reachable. Everybody above it has already won and has no remaining reason to add anything. You have installed a mechanic that operates on a slice of your order distribution and does nothing to the rest of it.

Stacked goals fix that by giving every part of the curve a next step.

## What a single threshold leaves behind

Take a store with this distribution:

| Percentile | Order value |
|---|---|
| 25th | $28 |
| 50th | $46 |
| 65th | $58 |
| 75th | $71 |
| 85th | $92 |
| 95th | $138 |

With a single $70 threshold:

- Orders below roughly $40 — the gap is too large to feel achievable. No effect.
- Orders between $40 and $70 — the target zone. This is where the mechanic works.
- Orders above $70 — goal already met. No further incentive.

That is meaningful influence over maybe a third of orders, and no influence at all over the top quartile, which is where your best customers are.

## The three-tier shape

The fix is a ladder, with each rung placed higher in the distribution:

- **Tier 1 — Free shipping at $58** (65th percentile). The entry goal, reached by a large share of shoppers.
- **Tier 2 — 10% off the order at $92** (85th percentile). The stretch goal.
- **Tier 3 — Free gift at $138** (95th percentile). The aspiration.

Now every basket has a next step. A shopper at $50 is chasing free shipping. A shopper at $62 has just won and immediately sees a new target thirty dollars away. A shopper at $100 is looking at the gift.

The reason this works is the same reason the single bar works — the goal-gradient effect — applied repeatedly instead of once.

## Reveal, do not display

The most important implementation detail, and the one most often got wrong.

**Do not show all three tiers at once.** Showing "$58 free shipping · $92 for 10% off · $138 for a gift" to a shopper with $20 in their cart anchors them on $138. The first tier stops reading as an achievement and starts reading as the least of three things they will not get.

**Show the active goal, then reveal the next.** One goal at a time, prominent and specific. When it is met, celebrate the crossing and immediately surface the next one.

That sequencing produces a repeating loop of near-completion, which is exactly the state the mechanic depends on.

The single highest-value instant in this whole system is when a shopper crosses tier one. They have just experienced a small win, they are feeling good about the transaction, and they are one click from the cart. That is the moment to introduce tier two — not before.

## Choosing rewards for each rung

The rewards should escalate in perceived value and change in *kind*, not just in size.

**Tier 1 — Free shipping.** Almost always the right first reward, because it removes a cost the shopper already resents rather than adding a benefit they did not ask for. It also has the cleanest margin story.

**Tier 2 — An order discount or a free gift.** A percentage discount is simple and universally understood. A gift usually has better economics, because a $6 landed cost can carry $18 of perceived value while a 10% discount on a $92 order costs a flat $9.20.

**Tier 3 — Something with high perceived value and controlled cost.** An exclusive item, expedited shipping, an extended warranty, early access. Avoid deep percentage discounts here — on a large order, a percentage becomes expensive fast.

## The margin check, per tier

This is where stacked goals go wrong. Each tier is set by intuition, the total is checked afterwards, and by then the ladder is live.

Every tier must independently satisfy:

> Gross profit on the incremental spend required to reach this tier > cost of this tier's reward

Worked through, at 55% gross margin:

| Tier | Threshold | Reached from | Incremental spend | Gross profit on it | Reward cost | Net |
|---|---|---|---|---|---|---|
| 1 — Free shipping | $58 | $46 median | $12 | $6.60 | $7.20 shipping | **−$0.60** |
| 2 — 10% off | $92 | $58 | $34 | $18.70 | $9.20 | **+$9.50** |
| 3 — Free gift | $138 | $92 | $46 | $25.30 | $6.00 landed | **+$19.30** |

Tier 1 is marginally negative as configured — which is common, and tolerable, because free shipping also improves conversion rate in a way the other tiers do not. But it is worth knowing rather than discovering. Raising tier 1 to $62 would fix it.

Note the shape: tiers become *more* profitable as you climb, because the incremental spend grows faster than the reward cost does. That is the property you want. A ladder where the top tier is the least profitable is upside down.

Decide explicitly whether a shopper reaching tier 3 also keeps tiers 1 and 2. Usually yes - cumulative rewards are what make the ladder feel generous. But that means your $138 order carries free shipping plus 10% off plus a gift, which is $22.40 of cost against $75.90 of gross profit. Still positive, but model it before you find out.

## Copy for a ladder

Each state needs its own line, and the transitions matter as much as the states.

- **Below tier 1:** "You're $12 away from free shipping"
- **At tier 1:** "Free shipping unlocked. Add $34 more for 10% off"
- **At tier 2:** "10% off applied. Add $46 more for a free travel size"
- **At tier 3:** "You've unlocked everything. Nice work."

Three principles: name the reward just earned before pointing at the next one; always give the remaining amount as a number; and give the final state a genuine end rather than an open-ended prompt, because a ladder with no top feels manipulative.

## When not to stack

Stacked goals are not universally right.

- **Low average order value with narrow distribution.** If almost every order is between $20 and $35, there is no room for three tiers. One threshold is correct.
- **Thin margins.** Three rewards need three margin checks to pass. If tier 1 is already borderline, adding two more is not the fix.
- **Limited catalogue.** If there is nothing sensible for a shopper to add between $58 and $92, tier 2 is an unreachable goal regardless of where you set it.
- **Complex existing promotions.** A ladder on top of a BOGO on top of a site-wide code produces an effective discount nobody has modelled and a cart nobody can read.

## Measuring a ladder

Per tier, not in aggregate:

- **Share of orders reaching each tier**, before and after. The behaviour change.
- **Distance-at-checkout distribution** for orders that did not cross each tier. If a cluster sits just below a threshold, that threshold is slightly too high.
- **Gross profit per order** in each band between tiers.
- **Total reward cost** as a percentage of revenue.
- **Cart-to-checkout rate.** The guardrail — a cart cluttered with three competing goals can suppress conversion.

The distance-at-checkout chart is the most actionable and the least used. If you find a pile of orders finishing at $54 against a $58 tier one, moving that threshold to $52 will convert most of them, and the arithmetic on that change is trivially favourable.

### FAQ

**How many cart goal tiers should I run?**

Three is the practical maximum for most stores. Two works and leaves value on the table above the second threshold. Four or more turns the cart into a puzzle, and the incremental revenue from the top tier rarely justifies the added complexity and inventory exposure.

**Should all the tiers be visible at once?**

No. Show the current goal prominently and reveal the next one when the current is met. Displaying all three simultaneously anchors the shopper on the largest number, which makes the first tier feel like a consolation prize rather than an achievement.

**What rewards work best at each tier?**

Free shipping at the first tier because it removes a cost the shopper already resents. An order discount or a free gift at the second. Something with high perceived value and controlled cost at the third, such as an exclusive item or expedited shipping.

**Where should each threshold sit?**

At rising percentiles of your order value distribution. A common shape is the sixty-fifth percentile for tier one, the eighty-fifth for tier two and the ninety-fifth for tier three, adjusted so each reward passes its own margin check.

**Do stacked goals hurt margin?**

They do if the rewards are not individually modelled. Each tier must satisfy the same test - the gross profit on the incremental spend required to reach it must exceed the cost of the reward. Stacked goals fail when stores set tiers by intuition and only check the total afterwards.

## Quantity Breaks vs Volume Discounts — Pricing Tiers Without Killing Margin

URL: https://ninety9.dev/blog/quantity-breaks-vs-volume-discounts.html
Published: 2026-04-14 (updated 2026-09-21)
Category: Bundles & Upsells · App: Addly: AI Bundles app & Upsell
Reading time: 7 minutes

How to structure discount tiers that create incremental units instead of subsidising the customers who were already buying three, with worked numbers.

Quantity breaks look like the easiest offer in ecommerce. Pick a discount, pick a quantity, publish.

They are also one of the easiest ways to quietly lose money, because the customers most likely to take a quantity break are the ones who were already going to buy that quantity. You can run a tier ladder for a year, watch your average order value rise, and end up with less gross profit than you started with.

The fix is not complicated, but it does require doing the arithmetic before rather than after.

## The two things a tier ladder does

Every quantity discount does two things simultaneously, and they pull in opposite directions.

1. **It creates incremental units.** Some customers buy three who would have bought one. This is the reason to run it.
2. **It subsidises existing behaviour.** Some customers who were always buying three now pay less for three. This is the cost.

The whole design problem is maximising the first while minimising the second. Everything below follows from that.

## Start by measuring your baseline

Before setting any tier, pull your current units-per-order distribution for the product in question. You need to know what share of customers already buy 1, 2, 3, 4+ units without any encouragement.

That distribution tells you two things:

- **Where the natural break is.** If 70% of orders are a single unit and 20% are two, your first tier belongs at two — that is where the marginal customer already sits.
- **Your cannibalisation floor.** If 12% of customers already buy three units unprompted, then a three-unit tier is subsidising at least 12% of buyers from day one.

Setting a tier below your existing modal quantity is the classic mistake. If most people already buy two, a "buy 2 save 10%" tier changes nobody's behaviour and costs you 10% of a large share of your revenue.

## Three tiers, and why not four

Two tiers is a binary — buy one, or take the deal. It leaves the entire upper half of the demand curve untouched.

Four or more tiers spreads attention. Every additional option lowers the salience of the others, and the tier you actually wanted people to pick loses share to indecision. There is also a practical limit to how much information a shopper will read in a pricing table on a phone.

Three works because it produces a shape people recognise instantly: an entry point, an obvious middle, and a ceiling that makes the middle look reasonable.

## Design the middle tier first

This is the part most stores do backwards. They start with tier one and work up.

Start instead with the tier you want most people to choose. That is your target — usually one unit above your current modal quantity, at a discount your margin can absorb comfortably. Design that tier to be genuinely attractive.

Then build the other two around it:

- **Tier 1** is the entry point. Small discount, low commitment. Its job is to establish that a ladder exists.
- **Tier 3** is the anchor. It should offer a visibly better rate, at a quantity most customers will not choose. Its job is to make tier 2 look like the sensible option rather than the greedy one.

On a $30 product with 55% margin, where 65% of orders are one unit and 22% are two:

- **Buy 1** — $30, no discount
- **Buy 2** — $54, save 10% ← entry
- **Buy 3** — $75.60, save 16% ← target
- **Buy 5** — $120, save 20% ← anchor

Note the shape: the discount grows, but each additional step grows less. From 10% to 16% to 20%, not 10% to 20% to 30%.

## Why the ladder should flatten

A linear ladder — 10%, 20%, 30% — feels fair and is expensive.

The reason is that the behaviour change you are buying gets smaller as you go up. Convincing a one-unit buyer to take two is a real change and worth paying for. Convincing a four-unit buyer to take five is a marginal change, and the customers buying four were probably going to buy five occasionally anyway.

A flattening ladder pays the most where the behaviour change is largest, and progressively less where you are mostly subsidising existing demand.

## The margin floor

The hard constraint. For any tier:

> Gross profit at the discounted price × quantity must exceed gross profit at full price × the quantity that customer would otherwise have bought.

On the $30 product above with 55% margin ($16.50 gross profit per unit):

| Tier | Revenue | Gross profit | Beats 1 unit? | Beats 2 units? |
|---|---|---|---|---|
| 1 unit | $30.00 | $16.50 | — | — |
| 2 @ 10% off | $54.00 | $27.00 | Yes | — |
| 3 @ 16% off | $75.60 | $35.10 | Yes | Yes |
| 5 @ 20% off | $120.00 | $52.50 | Yes | Yes |
| 5 @ 40% off | $90.00 | $22.50 | Yes | **No** |

That last row is the trap. A 40% discount at five units still looks profitable against a single-unit baseline, but it makes you *less* money than the customer who would have bought two at full price. If a meaningful share of your five-unit buyers came from the two-unit group, the tier is a loss.

Your quantity ladder plus a site-wide promo code plus a free shipping threshold can compound into a total discount you never modelled. Test the worst case on your lowest-margin SKU before a sale weekend, not during one.

## Variant-level targeting

The most underused feature in quantity discounting, and the one that turns it from a pricing instrument into an inventory tool.

A product-wide discount treats every variant the same, which is almost never what you want. You are rarely overstocked on everything.

Scoping tiers to specific variants lets you:

- Clear the sizes that always end the season in the warehouse, without discounting the ones that sell out.
- Push the colourway that arrived in the wrong quantity.
- Protect a variant with a supply constraint from being discounted at all.
- Run a deeper ladder on last season's colours while this season's stay at full price.

This is a much more precise tool than a markdown, and it is invisible to customers who are not looking at the variant you are clearing.

## Presentation

The maths decides profitability; the presentation decides take rate. A few things reliably help:

- **Show per-unit price at every tier.** "$25.20 each" makes the comparison concrete in a way "16% off" does not.
- **Show total saving in currency.** For low-priced items the percentage looks better; for expensive ones the currency amount does. Show both.
- **Pre-select the target tier.** Defaults matter enormously. If tier 2 is where you want people, select it by default rather than starting at one.
- **Label the target, not the top.** "Most popular" on the middle tier. Putting "best value" on the top tier pushes people to a tier you make less money on.
- **Keep the table short.** Four rows maximum, readable on a phone without horizontal scroll.

## Measuring the right thing

Average order value will go up. That is not evidence of anything — a discount ladder mechanically raises AOV by construction.

The numbers that matter:

- **Units per order**, compared against your pre-launch baseline distribution.
- **Effective discount rate** — total discount ÷ total revenue on that product.
- **Gross profit per order** for the product, before and after.
- **Tier distribution** — what share of buyers landed on each tier. If almost everyone takes tier 3, your ladder is too generous. If almost nobody does, it is too steep.

Give it at least four weeks at moderate volume, and compare against the same period rather than the previous month if your category is seasonal.

### FAQ

**What is the difference between quantity breaks and volume discounts?**

In practice the terms are used interchangeably. Where a distinction is drawn, quantity breaks usually means discrete tiers on a single product (buy 2 save 10 percent) while volume discounts can also mean a sliding scale across a collection or an entire order. The pricing logic and the margin risk are the same in both cases.

**How many discount tiers should I offer?**

Three. Two tiers is a binary choice that leaves the upper range untouched, and four or more spreads attention so thinly that the take rate of your target tier falls. Three gives you a clear entry point, a designed target and an aspirational ceiling.

**Should the discount increase proportionally with quantity?**

No. Discount depth should increase, but at a decreasing rate. Ten percent at two units, sixteen at three, twenty at five is a healthy shape. A linear ladder gives away margin at the top to customers whose behaviour you were not going to change anyway.

**Do quantity breaks work on non-consumable products?**

Rarely on the same product, because nobody needs two of a considered single purchase. They can work across variants, where the customer is buying different colours or sizes of the same item, and they work well on anything gifted in multiples.

**Can I run quantity breaks on specific variants only?**

Yes, and it is one of the more useful applications. Scoping a discount to particular variants lets you clear overstocked sizes or colours without discounting the ones that already sell at full price, which is far more precise than a product-wide markdown.

## Upsell Popup Benchmarks — What Good View, Click and Conversion Rates Look Like

URL: https://ninety9.dev/blog/upsell-popup-benchmarks.html
Published: 2026-04-07 (updated 2026-09-21)
Category: CRO & Analytics · App: Monet • AI Popup Bundle Addons
Reading time: 7 minutes

How to read Shopify upsell popup analytics without fooling yourself: the right denominator, each metric, and patterns behind bad tests.

Popup analytics are unusually easy to misread, because the same offer can be reported as a 2% conversion rate or a 28% conversion rate depending on which denominator you pick — and both numbers are technically correct.

This is a guide to reading them honestly.

## The denominator problem

Consider a single add-to-cart upsell over one month:

- 100,000 sessions
- 12,000 add-to-cart events
- 9,400 popups shown (frequency capping suppressed the rest)
- 1,880 offers accepted

| Denominator | Rate | What it is really telling you |
|---|---|---|
| Accepts ÷ sessions | 1.9% | How much this contributes to the site overall |
| Accepts ÷ add-to-carts | 15.7% | How well it works among eligible shoppers |
| Accepts ÷ impressions | **20.0%** | How good the offer itself is |

All three are useful and they answer different questions. The mistake is quoting the third and implying the first.

**Use impressions** when judging the offer, because it isolates the decision you are testing.
**Use sessions** when judging whether the popup deserves to exist, because it captures how often it actually fires.

If a report does not state the denominator, the number means nothing.

## The metrics that matter, in order

### 1. Take rate (accepts ÷ impressions)

The fastest and most diagnostic metric. It measures one thing: relevance.

A take rate near zero is not a pricing problem or a design problem. It is a relevance problem — the offer is wrong for the person seeing it, and no discount will fix that.

Take rate also needs the least data. A few hundred impressions is often enough to tell the difference between "this resonates" and "this does not", which makes it the right metric for early iteration.

### 2. Revenue per impression

The commercial number. Take rate can be high on a cheap item and still contribute almost nothing.

```
revenue per impression = (accepts × average accepted value) ÷ impressions
```

This is what you use to compare two different offers with different price points. A 25% take rate on an $8 accessory produces $2.00 per impression. An 8% take rate on a $40 add-on produces $3.20. The second offer is better despite looking worse.

### 3. Gross profit per impression

Revenue per impression, minus discount and cost of goods. The only metric that decides whether to keep an offer running.

An upsell with strong revenue and a 30% discount on a low-margin item can be net negative. This happens more often than people expect, particularly with discount-led offers.

### 4. The guardrail

Every popup needs one metric from the surrounding funnel that would reveal harm the primary metrics cannot see.

| Popup type | Guardrail | What it catches |
|---|---|---|
| Add to cart | Cart-to-checkout rate | Popup obstructing the path forward |
| Checkout initiation | Checkout completion rate | Friction added at the worst moment |
| Exit intent | Return visit rate | Brand damage from over-firing |
| Any | Adds per session | Shoppers adding less to avoid the popup |

Without a guardrail you can optimise a popup into a conversion problem and see nothing but good numbers.

Decide the guardrail metric and its acceptable movement *before* launching. "We will keep this if take rate exceeds 8% and cart-to-checkout does not fall by more than half a point" is a decision. Looking at the numbers afterwards and deciding what they mean is not.

## Why published benchmarks are close to useless

Search for popup benchmarks and you will find figures ranging from under 1% to over 40%. They are not contradicting each other; they are measuring different things.

The variance comes from four sources:

**Trigger.** An add-to-cart upsell and a timed email capture have almost nothing in common. Intent quality differs by an order of magnitude.

**Offer type.** A quantity upgrade requires no new decision. A cross-sell to a different category requires a full evaluation. Take rates differ accordingly.

**Category and price point.** A $6 accessory on a $40 anchor behaves nothing like a $200 add-on on a $900 anchor.

**Denominator.** Covered above, and rarely stated.

A benchmark that does not specify all four is not a benchmark. It is a number.

## Build your own baseline instead

Four weeks, minimum, before you change anything.

1. **Week 1** — launch a single offer with no discount. This is your control.
2. **Weeks 2–4** — leave it alone. Resist the urge to iterate on a week of data.
3. **End of week 4** — record take rate, revenue per impression, gross profit per impression and the guardrail. That set is your baseline.
4. **From week 5** — change exactly one variable at a time and compare against the baseline.

Everything after that is a comparison against yourself, which is the only comparison that means anything.

## How much data before you decide

The honest answer depends on the effect size you care about and the variance in your data, but two rules of thumb hold up:

- **Take rate** stabilises quickly. Several hundred impressions is often enough to distinguish a good offer from a bad one, because the outcome is binary and the base rate is usually well away from zero.
- **Revenue per impression** stabilises slowly, because order values have a long tail. A handful of unusually large accepted offers can swing a weekly figure substantially. Thousands of impressions is a more realistic threshold.

The practical implication: iterate on relevance using take rate, then validate value using revenue once relevance is settled. Doing it the other way round means waiting weeks to learn something take rate would have told you in days.

Ecommerce data is seasonal at every timescale - day of week, week of month, month of year. A popup launched on the first of the month and reviewed on the tenth is being judged against a period that is not comparable. Use whole weeks, and compare against the same weeks last period where you can.

## Diagnostic patterns

Some common shapes and what they usually mean.

**High impressions, near-zero take rate.**
Relevance failure. The offer does not match the anchor product. Fix the pairing before touching anything else.

**Good take rate, flat average order value.**
Cannibalisation. The upsell is capturing items shoppers would have added anyway. Compare against your baseline attach rate for that pair.

**Good take rate, falling cart-to-checkout rate.**
The popup is obstructing the path forward. Usually a mobile layout problem where the continue action falls below the fold.

**Take rate declining over weeks with stable traffic.**
Habituation. Returning visitors have learned to dismiss it. Rotate the offer or tighten the frequency cap.

**High engagement, low accepts.**
People are reading it and saying no. The offer is relevant but the price or the terms are wrong. This is the one case where a discount is the right lever.

**Everything good, gross profit flat.**
The discount is eating the gain. Reduce the discount and watch whether take rate holds.

## A reporting template

One table, reviewed monthly, one row per active offer:

| Field | Why it is there |
|---|---|
| Trigger and placement | Context for everything else |
| Impressions | Reach |
| Take rate | Relevance |
| Average accepted value | Offer quality |
| Revenue per impression | Commercial contribution |
| Effective discount rate | What it cost |
| Gross profit per impression | The verdict |
| Guardrail metric and movement | The safety check |
| Decision | Keep, change, or retire |

The last column is the one that matters. A report without a decision attached is a dashboard, and dashboards do not improve anything on their own.

### FAQ

**What is a good conversion rate for an upsell popup?**

There is no single answer because it depends entirely on the trigger and the offer. A quantity upgrade shown after add to cart converts far higher than a cross-sell shown at exit, and both vary enormously by category and price point. Establish your own baseline in the first four weeks and measure changes against it.

**Should I measure popup performance against sessions or impressions?**

Impressions, for judging the offer, because that isolates the decision you are testing. Sessions, for judging whether the popup is worth running at all, because that captures how often it actually fires. Reporting one and calling it the other is the most common way popup performance gets misrepresented.

**How much data do I need before drawing a conclusion?**

Enough that a plausible change would be visible above noise. For take rate that is often a few hundred impressions. For revenue per impression it is usually thousands, because the variance in order values is wide. Resist calling a result after a good week.

**What is a guardrail metric?**

A metric from the surrounding funnel that would reveal harm your primary metric cannot see. For an add-to-cart popup the guardrail is cart-to-checkout rate. For an exit popup it is return visit rate. Without one you can optimise a popup into a conversion problem and see only good numbers.

**Why do published popup benchmarks vary so much?**

Because they blend different triggers, offers, categories and denominators. A study reporting a three percent popup conversion rate may be measuring a timed email capture against all sessions, which has nothing in common with an add-to-cart upsell measured against impressions.

## How to Reduce Ecommerce Returns Before They Start

URL: https://ninety9.dev/blog/reduce-ecommerce-returns.html
Published: 2026-04-06 (updated 2026-09-21)
Category: Retention & Post-Purchase · App: Reviso: Order editing & Upsell
Reading time: 7 minutes

Most Shopify returns are decided before the parcel ships. Which causes you can prevent at which stage, and what to fix pre-dispatch.

A return is a sale that reverses, plus two shipping legs, plus labour, plus a customer who may not come back. It is one of the few metrics in ecommerce where the cost of the event substantially exceeds the value of the transaction that caused it.

The instinct is to optimise the returns process — faster labels, better portals, quicker refunds. Worth doing, but it is treating the symptom. The interesting question is which returns did not have to happen, and where the cheapest place to intervene is.

## Avoidable versus unavoidable

Split your return reasons into two lists.

**Unavoidable at the point of sale:**

- Product defect
- Damage in transit
- Genuine dissatisfaction with quality
- Gift recipient did not want it

These are real problems and worth fixing — but they are fixed in sourcing, QA and packaging, not in the checkout flow.

**Avoidable:**

- Wrong size or fit
- Wrong colour or variant ordered
- Wrong item ordered entirely
- Duplicate order
- Wrong address, resulting in a failed delivery
- Changed mind before the parcel shipped
- Did not match expectations set by the product page

In most stores the avoidable list is a substantial share of total volume, and in apparel it dominates. That list is where the leverage is.

## What a return costs

Worth building the number for your own store, because it is usually larger than people assume.

```
outbound shipping            (already spent)
+ return shipping            (usually yours to pay)
+ inspection and restocking  (labour, minutes per unit)
+ repackaging                (if resold as new)
+ payment processing         (often not fully refunded)
+ writedown                  (if the item cannot be resold at full price)
= cost of the return
```

Then add the opportunity side: the margin you booked and gave back, and the probability that the customer does not return. On lower-priced items the total frequently exceeds the gross profit on the original order, meaning the return does not just erase the sale — it costs you money to have made it.

If a return costs you roughly the value of the order, then preventing one is worth roughly a full order of profit. That is a much bigger budget than most stores allocate to prevention, and most of the effective interventions are close to free.

## Where to intervene, cheapest first

### Before the order: set expectations accurately

The highest-leverage work, and the slowest.

- **Sizing.** Real measurements, not just S/M/L. Model height and worn size. Fit notes ("runs small", "size up if between sizes") drawn from actual return reasons.
- **Photography.** Colour accuracy, scale reference, the product in use rather than only on white.
- **Materials and dimensions** stated explicitly rather than implied.
- **Reviews with attributes.** Reviews that record the reviewer's size and the fit outcome do more for return rate than any other single addition to a product page.

### At checkout: prevent the mechanical errors

- **Address validation and autocomplete.** Catches the missing unit number, which is the leading cause of failed delivery.
- **Clear variant selection.** A variant selector that does not make the current choice obvious produces wrong-variant orders at a surprising rate.
- **Order summary that shows variants in words**, not just a thumbnail. "Blue / Large", not a colour swatch the customer has to interpret.

### Before dispatch: the cheapest fix of all

This is the window most stores ignore, and it is the one where a correction costs nothing.

A customer who realises within an hour of ordering that they picked the wrong size has three possible paths:

1. **They email support.** Support may or may not catch it before dispatch. Costs staff time; sometimes works.
2. **They do nothing and return it.** Costs both shipping legs, restocking, refund and the margin.
3. **They fix it themselves in an edit flow.** Costs a database write and a stock movement.

Path three is available for essentially every mistake in the avoidable list, and it is the difference between a return and a non-event.

This only works before fulfilment. Once the item is picked and labelled, an edit becomes a warehouse operation and the economics collapse. The value of the pre-dispatch window is entirely dependent on it being genuinely pre-dispatch, which means the edit interface must be tied to fulfilment status rather than to a time limit someone guessed at.

### After dispatch: exchange before refund

Once the parcel is out, the goal shifts from prevention to preserving the sale.

An exchange keeps the revenue; a refund does not. Offering the exchange path first — with the correct size pre-selected based on the stated return reason — converts a meaningful share of what would have been refunds.

Store credit sits between the two: better than a refund for you, and often acceptable to the customer if there is a small bonus attached.

## Return reasons as a diagnostic

Requiring a reason on every return produces one of the most useful datasets in the business, provided the categories are specific enough to be actionable.

Bad categories: "not as expected", "other", "changed my mind".

Useful categories: "too small", "too large", "colour different from photos", "material felt different", "arrived damaged", "wrong item sent", "ordered wrong item", "arrived too late", "found better price".

Read them by product:

- **One product with a high "too small" rate** → a sizing note on that product page fixes it, not a policy change.
- **One product with a high "colour different" rate** → reshoot it.
- **A category with a high "material" rate** → the description is under-specifying.
- **"Ordered wrong item" across the catalogue** → a variant selection UI problem, not a product problem.
- **"Arrived too late"** → a fulfilment or expectation-setting problem that will also be showing up in your cancellation reasons.

Almost every clustered return reason points at a fix that is cheap and permanent. Unclustered reasons spread evenly across the catalogue usually point at a checkout or expectation problem instead.

## The policy question

Restricting returns to lower the return rate is almost always a false economy. A restrictive policy lowers return rate and conversion rate together, and the conversion loss is generally larger.

The better levers:

- **Free returns, but exchanges are faster.** Steer to exchange through convenience rather than penalty.
- **A longer window than the industry norm.** Counter-intuitively, longer windows tend to reduce return rate, because the urgency to decide disappears and endowment sets in.
- **Instant exchange.** Ship the replacement before the original comes back, for customers who pass a trust check.
- **Charge for returns only on repeat offenders.** A small share of customers generate a disproportionate share of returns. Rules targeting them do not damage everyone else's experience.

## Rollout

1. **Add return reason capture** with specific categories, if you do not have it. Everything else depends on this data.
2. **Fix the top three products** by avoidable return volume — sizing notes, photography, description.
3. **Enable pre-dispatch self-service editing** for variant swaps and addresses. This is the fastest-acting intervention.
4. **Add address validation** at checkout if it is not there.
5. **Make exchange the default path** in the returns flow, with refund available but secondary.
6. **Review reason clustering monthly** and treat it as a product page backlog.

## Measuring it

- **Return rate overall**, and split by avoidable versus unavoidable. The split matters more than the total.
- **Return reason distribution**, tracked by product and by category.
- **Pre-dispatch edit rate** — the leading indicator that prevention is working.
- **Exchange-to-refund ratio** in the returns flow.
- **Cost per return**, calculated properly and reviewed quarterly.
- **Repeat purchase rate of customers who returned.** A well-handled return can produce a more loyal customer than a smooth first order; a badly handled one ends the relationship.

### FAQ

**What is a normal ecommerce return rate?**

It varies enormously by category. Apparel and footwear run far higher than most other categories because of sizing, while consumables and electronics accessories run much lower. The useful comparison is against your own trend and against the avoidable portion, not against a cross-industry average.

**What does a return actually cost?**

Outbound shipping, return shipping, inspection and restocking labour, payment processing that is often not fully refunded, and the lost margin. For lower-priced items the total frequently exceeds the profit on the original sale, which is why prevention beats process.

**Which returns are actually preventable?**

Wrong size, wrong variant, wrong address, duplicate orders and changed-mind returns caught before dispatch. Product defects, damage in transit and genuine dissatisfaction are not preventable through the checkout and post-purchase flow, though they are worth fixing at source.

**Does a generous returns policy increase returns?**

It increases return rate modestly and increases conversion rate and repeat purchase substantially. For most stores the trade is favourable. Restricting returns to lower the rate usually costs more in lost sales than it saves in logistics.

**How does order editing reduce returns?**

It converts a return into an edit. A customer who ordered the wrong size and can change it before dispatch never generates a return, which removes both shipping legs, the restocking cost and the refund - and keeps the sale.

## Frequently Bought Together on Shopify — Picking Pairs That Actually Sell

URL: https://ninety9.dev/blog/frequently-bought-together-shopify.html
Published: 2026-03-24 (updated 2026-09-21)
Category: Bundles & Upsells · App: Addly: AI Bundles app & Upsell
Reading time: 7 minutes

How to derive product pairings from your own order data instead of category tags, the price ratio that converts, and why three suggestions beat eight.

The frequently-bought-together widget is one of the oldest patterns in ecommerce and one of the most reliably profitable, which is exactly why it is worth doing properly rather than switching on with default settings.

Almost all of the performance difference between two stores running the identical widget comes from one decision: which products get suggested. Layout, badge colour and button copy are rounding errors next to it.

## Complements, not substitutes

The single most common failure is suggesting an alternative rather than an addition.

A shopper looking at a pair of running shoes does not want a second pair of running shoes. They want socks, insoles, a gel pack, a reflective band. The shoes are a *substitute* for each other; the accessories are *complements*.

This distinction is obvious when stated and constantly violated in practice, because the default logic in most systems is "other products in the same collection" — which is a substitute generator by definition.

| Anchor product | Substitute (wrong) | Complement (right) |
|---|---|---|
| Espresso machine | Another espresso machine | Descaler, tamper, milk jug |
| Running shoes | Another running shoe | Socks, insoles, laces |
| Serum | Another serum | Cleanser, SPF, applicator |
| Desk lamp | Another desk lamp | Bulbs, dimmer, cable clip |

Substitutes have a place — on collection pages, in search results, in out-of-stock states. They do not belong next to a buy button, where their effect is to reopen a decision the shopper had already made.

## Deriving pairs from your own data

The reliable method takes an afternoon and beats every heuristic.

### Step 1: Export order line items

Last 90 days minimum, longer if your order volume is modest or your category is seasonal.

### Step 2: Count co-occurrence

For each product A, count how many orders containing A also contain product B, for every B.

### Step 3: Convert to lift

This is the step most people skip, and it is what separates a useful pairing list from a list of your bestsellers.

> **Lift** = P(B in order | A in order) ÷ P(B in order)

In words: how much more likely is B to appear when A is present, compared to how often B appears generally?

Raw co-occurrence will always rank your bestseller first, because your bestseller appears in a large share of *all* orders. Lift corrects for that. A lift of 1.0 means no relationship at all. A lift of 3.0 means B is three times more likely to appear when A does — that is a real pattern.

### Step 4: Filter

- Drop anything with a lift below roughly 1.5. That is noise.
- Drop anything in the same substitutable category as the anchor.
- Drop anything out of stock or on the way out of the catalogue.
- Drop anything priced above 50% of the anchor.

### Step 5: Rank by price fit

Of what survives, prefer the item closest to 25% of the anchor price.

An accessory at 15–40% of the anchor price reads as "of course, add it". At 60% or more, the shopper stops treating it as an accessory and starts treating it as a second purchase — which means a second deliberation, which means "later", which means never.

## When to override the data

Data-derived pairs are the right default, not the right answer in every case. Override when:

- **The product is new.** No history exists. Use the closest analogue product's pairs, or your own product knowledge.
- **The pairing is an artefact.** Two products bought together during one promotion where they were both discounted are not a real pattern.
- **Margin says otherwise.** A pair with strong lift but terrible margin on the suggested item may not be worth the slot. The best-converting suggestion is not always the most profitable one.
- **Inventory says otherwise.** Never promote your way into a stockout on a component you need for other bundles.

## How many to show

Two or three. Not eight.

Every additional option reduces the take rate of the ones already present. This is well documented in choice research and matches what happens in practice: a widget with three suggestions produces a higher attach rate than one with eight, and a much higher one than a scrolling carousel where most items are never seen.

If you genuinely have five good complements, that is a signal to rotate them or to segment by customer, not to show all five.

## Presentation that helps

- **Show the anchor product in the set.** "This item + socks + insoles" makes the addition concrete. A bare list of two other products loses the connection to what the shopper is looking at.
- **Let each item be deselected.** Forcing all-or-nothing lowers the take rate. Most shoppers who decline the full set will still take one item.
- **Show the total for the selected combination**, updating live. Making the shopper do the arithmetic loses them.
- **One-click add, no navigation.** If accepting the suggestion navigates away from the product page, you have introduced the exact friction the widget exists to remove.
- **Place it below the buy button.** Above it competes with the primary action; at the bottom of a long description it is never seen on mobile.

Running the same frequently-bought-together set on the product page and again in the cart usually lowers the take rate of both. The product page version reads as a suggestion; the second showing reads as pressure. Pick one surface per offer.

## Rules vs learned recommendations

Once you have enough volume, a system that recalculates pairings continuously will outperform a static list — not because the algorithm is smarter on any given day, but because your catalogue and your seasons move and a hand-built list does not.

The honest threshold: below a few hundred orders per product, a well-chosen manual pairing usually wins. Personalisation is a scale advantage, and pretending otherwise leads to widgets that recommend confidently from six data points.

A reasonable progression:

1. **Start manual.** Pick complements using product knowledge. Two per anchor.
2. **Move to data-derived static pairs** once you have 90 days of meaningful volume. Refresh quarterly.
3. **Move to continuously learned recommendations** when refreshing quarterly starts to feel like it is always out of date — which is the signal that your catalogue is moving faster than your process.

## Measuring it

- **Attach rate** — orders containing a suggested item ÷ orders where the widget was shown. The primary metric.
- **Incremental attach** — attach rate minus your pre-widget baseline co-occurrence. This is the honest version, and it is always lower than the headline.
- **Revenue per product page view.** Catches the case where the widget lifts attach rate but suppresses the main add-to-cart.
- **Add-to-cart rate on the anchor product.** The guardrail. If it drops, the widget is competing with the buy button rather than supporting it.

The incremental number is the one to defend in a meeting. A widget showing a 30% attach rate on a pair that already co-occurred in 24% of orders has added six points, not thirty.

### FAQ

**How does frequently bought together work on Shopify?**

The widget shows products that commonly appear in the same order as the product being viewed, usually with a small discount for taking the set. The quality depends entirely on how the pairs are selected. Order-history-derived pairs consistently outperform pairs chosen by category or by manual guesswork.

**How many orders do I need before recommendations are reliable?**

A few hundred orders on a given product is usually enough to see a real signal for its top pairing. Below that, a manually chosen complement based on product knowledge will beat anything derived from data, because the sample is too small to distinguish a pattern from noise.

**Should I discount the frequently bought together bundle?**

A small discount helps because it gives the shopper a reason to decide now rather than later. Ten to fifteen percent on the added item is usually plenty. Deeper discounts start to cannibalise customers who would have bought both anyway.

**Where should the widget go on the product page?**

Below the add-to-cart button and above the long-form description. Placing it above the buy button competes with the primary action, and placing it at the very bottom means most mobile visitors never see it.

**What is the difference between frequently bought together and related products?**

Related products are usually substitutes - other items in the same category that the shopper might prefer. Frequently bought together are complements - items that go with the one being viewed. Substitutes belong on collection pages and in empty-state recommendations. Complements belong next to the buy button.

## AI Product Recommendations on Shopify — How They Work and When Rules Win

URL: https://ninety9.dev/blog/ai-product-recommendations-shopify.html
Published: 2026-03-17 (updated 2026-09-21)
Category: CRO & Analytics · App: Monet • AI Popup Bundle Addons
Reading time: 7 minutes

What sits behind "AI recommendations", the data volume you actually need, where learned models beat hand-built rules, and where they measurably do not.

"AI-powered recommendations" is now standard copy on almost every merchandising app, which makes it close to meaningless as a differentiator. Underneath the label there are two or three distinct techniques with genuinely different behaviour, and knowing which one you are running tells you a lot about what to expect.

## What is actually running

### Collaborative filtering

The workhorse, and the technique behind the large majority of ecommerce recommendation systems.

The idea is simple: find products that co-occur in orders more often than chance predicts. If customers who buy A disproportionately also buy B, then B is a good recommendation for A.

The key statistic is **lift**:

> lift = P(B | A) ÷ P(B)

A lift of 1.0 means no relationship. A lift of 3.0 means B is three times more likely to appear when A is present. Raw co-occurrence would rank your bestseller first for everything, because your bestseller appears in a large share of all orders; lift corrects for that.

**Strengths:** captures relationships nobody would think to encode. Improves automatically with volume. Requires no product metadata.

**Weaknesses:** cold start on new products. Reinforces existing patterns, so it under-promotes items nobody has discovered yet. Vulnerable to artefacts from past promotions.

### Content-based filtering

Recommends products similar to the anchor based on attributes — category, tags, title, price band, sometimes image embeddings.

**Strengths:** works from day one with no order history. Handles new products.

**Weaknesses:** produces *substitutes* by construction. Similar things are alternatives, not complements. Used alone on a product page, this is the system that recommends a second pair of the same shoes.

### Hybrid

Most good systems combine the two: collaborative filtering where there is enough data, content-based as a fallback for new or low-volume products, with rules layered on top.

### Large language models

Rare for the selection step and usually the wrong tool for it. LLMs are excellent at generating descriptions, normalising messy product data and interpreting natural-language queries. They are not a natural fit for ranking products by purchase likelihood, which is a well-solved statistical problem.

If an app claims LLM-powered recommendations, it is worth asking which part of the pipeline the model is in.

Collaborative filtering finds what goes together. Content-based filtering finds what is similar. On a product page you almost always want the first, because similar means substitute.

## When rules beat models

Worth being direct about this, because it is the opposite of how these systems are marketed.

**Below a few hundred orders per product.** With thirty orders containing product A, any pattern you find is noise. A human who knows the catalogue will pick a better complement than a model working from a sample that small.

**For brand-new products.** No history exists. Use the closest analogue product's pairings, or your own judgement.

**Where margin varies wildly.** An unconstrained model optimising for conversion will recommend whatever converts, which is often your cheapest, lowest-margin item.

**Where relationships are obvious and stable.** If your printer takes exactly one cartridge model, that is a rule. It does not need a model, and a model can only get it wrong.

**Where inventory is constrained.** Never let a model promote its way into a stockout on a component you need elsewhere.

## Where models genuinely win

**Maintenance at scale.** A human can pick excellent pairs for fifty products. Nobody maintains accurate pairings for two thousand products through a season change. This is the real argument and it has nothing to do with per-product accuracy.

**Non-obvious relationships.** Every catalogue has pairs that make no categorical sense and convert extremely well. Only the data finds those.

**Seasonal drift.** The right complement in December is not the right one in June. A learned system tracks this; a static list requires someone to remember.

**Per-visitor personalisation.** Adjusting recommendations based on what this specific visitor has browsed is not something a static list can do at all.

## The guardrails you have to add

A recommendation model optimises the objective it was given, which is almost never your actual objective. These constraints are configuration, not emergent behaviour.

**Margin floor.** Exclude anything below a minimum contribution margin from recommendation slots. The best-converting suggestion is frequently not the most profitable one.

**Stock availability.** Never recommend out-of-stock or low-stock items. Obvious, and violated constantly.

**Category exclusion.** Prevent substitutes from appearing next to the buy button. This single rule fixes the most visible failure mode of an unconstrained system.

**Already-owned suppression.** Do not recommend something the customer bought last week. For repeat-purchase consumables, this needs a replenishment-cycle exception rather than a blanket rule.

**Price band.** Cap the recommendation at a percentage of the anchor price — 15–40% is the working range for accessories.

**Manual overrides.** Always keep a way to pin or block a specific pairing. Merchandising judgement should be able to beat the model when it needs to.

If two products were heavily discounted together last Black Friday, they will show strong co-occurrence for months afterwards. The model reads a promotion as a preference. Either exclude promotional periods from training data or weight them down, or you will spend next spring recommending last November.

## Placement matters as much as the algorithm

The same recommendation engine performs completely differently depending on where its output appears.

| Placement | Recommendation type | Why |
|---|---|---|
| Product page, below buy button | Complements | Shopper is deciding; additions help, alternatives distract |
| Collection page | Similar / popular | Shopper is browsing; substitutes are useful here |
| Cart drawer | Complements, low price ratio | Decision made; only additive offers work |
| Add-to-cart popup | Single strong complement | One offer, maximum attention |
| Exit intent | Alternatives or reminders | They are leaving; a substitute might be why |
| Order confirmation | Complements or replenishment | Warm buyer, zero risk |
| Empty search results | Similar / popular | Anything relevant beats nothing |

Note that substitutes are genuinely correct in two of those rows. The rule is not "never show substitutes" — it is "never show substitutes next to a buy button".

## Measuring recommendation quality

The trap here is measuring click-through rate, which rewards clickbait pairings that do not convert.

Better metrics:

- **Attach rate** — orders containing a recommended item ÷ sessions where recommendations were shown.
- **Incremental attach** — attach rate minus the baseline co-occurrence rate for that pair before recommendations existed. This is the honest number and it is always lower than the headline.
- **Revenue per recommendation impression.**
- **Gross profit per recommendation impression**, which catches the margin problem.
- **Anchor add-to-cart rate.** The guardrail. If recommendations are pulling attention from the main product, this drops.

The incremental figure is the one to defend. A widget showing a 30% attach rate on a pair that already co-occurred in 24% of orders has produced six points of value, not thirty.

## A sensible adoption path

1. **Start manual.** Two hand-picked complements per top product. Establish a baseline.
2. **Move to data-derived static pairs** once you have 90 days of meaningful volume. Compute lift, filter substitutes, refresh quarterly.
3. **Add a learned system** when refreshing quarterly always feels out of date — that is the signal your catalogue is moving faster than your process.
4. **Layer guardrails immediately**, not later. Margin floor, stock check, category exclusion, price band.
5. **Keep the manual override.** There will always be a pairing the model gets wrong and you can see is wrong.

The order matters. Stores that start at step 3 usually cannot tell whether the system is working, because they never established what "working" looked like without it.

### FAQ

**What does AI actually mean in a product recommendation app?**

In most cases, collaborative filtering or a similar statistical model trained on order history - finding which products co-occur more often than chance would predict. Some systems add content-based signals from titles, tags and images. Very few use large language models, and where they do it is usually for describing products rather than for choosing them.

**How much data do I need for AI recommendations to work?**

Enough that co-occurrence patterns rise above noise. A few hundred orders containing a given product is a reasonable floor for that product to receive sensible recommendations. Below that, a manually chosen complement based on product knowledge will usually outperform the model.

**Are AI recommendations better than manual ones?**

Not necessarily better on any single product, but far better at scale and over time. A human can pick an excellent complement for one product. A human cannot maintain accurate pairings for two thousand products through a season change, and that is where a learned system earns its place.

**Do AI recommendations respect margin?**

Only if you tell them to. A model trained to maximise clicks or conversions will happily recommend your lowest-margin product. Margin floors, stock availability checks and category exclusions are configuration you have to supply, not behaviour that emerges from the model.

**Can recommendations hurt the customer experience?**

Yes, in two specific ways. Recommending substitutes rather than complements reopens a decision the shopper had already made. And recommending something they have just bought or already own is the most common visible failure of an unconstrained system.

## Build-a-Box and Mix-and-Match Bundles — A Practical Setup Guide

URL: https://ninety9.dev/blog/build-a-box-mix-and-match-bundles.html
Published: 2026-03-03 (updated 2026-09-21)
Category: Bundles & Upsells · App: Addly: AI Bundles app & Upsell
Reading time: 7 minutes

How to design a Shopify mix-and-match bundle: slot structure, how much choice is too much, pricing models and inventory traps.

A build-a-box is the most engaging bundle format there is and the one most likely to be launched half-finished. It looks simple — let the customer pick a few things and give them a discount — and it hides a surprising amount of design and operational work.

Done well it produces genuinely higher order values, better first-purchase experiences and useful data about what your customers actually want together. Done carelessly it produces long, abandoned pickers and a support queue full of stockout emails.

## Why structure beats freedom

The instinct is that more choice is more appealing. In practice the opposite happens: an open "pick any six from our catalogue" is a blank page, and blank pages produce abandonment.

Structure converts better because it does the hard part for the shopper. Compare:

**Unstructured:** *Pick any 6 items, save 15%.*
The shopper has to decide what a good box even looks like, then execute it.

**Structured:** *Choose 1 base · 3 flavours · 1 topping · 1 extra.*
The shopper only makes the fun decisions. You have already made the hard one.

The second version consistently completes at a higher rate and produces boxes with a better composition, because the slots encode your product knowledge about what actually goes together.

## Designing the slots

Four principles.

**Three to five slots.** Below three it is not really a box. Above five, completion rate falls and mobile becomes painful.

**Each slot should feel different.** Slots that are functionally identical ("pick 3 flavours, then pick 3 more flavours") add steps without adding meaning. Merge them.

**Order the slots by decisiveness.** Put the easy, high-conviction choice first — usually the base or size. Early momentum matters; a shopper who makes one confident pick is much more likely to finish.

**Six to twelve options per slot.** Fewer feels restrictive; more stalls the shopper. If you have thirty eligible items, curate rather than dump the collection.

For a coffee subscription box:

- **Slot 1 — Grind** (4 options): the fast, confident first choice
- **Slot 2 — Beans, pick 3** (10 options): the fun part, where the time is spent
- **Slot 3 — Add a treat** (6 options): optional, and where the margin is
- **Flat box price**, shown from the start

Four decisions total, one of them optional, and the shopper knows the price before they begin.

## Pricing models

Three approaches, in descending order of how well they work.

### Flat box price

"Build your box — $45." Simplest to understand and the strongest conversion driver, because the shopper's remaining decisions are purely about preference rather than cost. It also produces a predictable, defensible margin.

Requires that your eligible items have reasonably similar costs, or that you accept variance. Most stores solve this by tiering: a standard box and a premium box with a different eligible pool.

### Percentage off the running total

"Pick any 6, save 15%." Easy to implement and flexible across price ranges, but it asks the shopper to track a moving number while choosing. Works, converts less well than flat pricing.

### Tiered by count

"Any 3 save 10%, any 6 save 18%, any 9 save 25%." Combines the box format with a quantity ladder. Powerful, but it is two mechanics at once and the interface has to be very clear or it becomes confusing.

Whichever you pick: show the price prominently from the first screen. A shopper who spends three minutes building a box and then discovers the price is a shopper who abandons and remembers it.

## The interface

Build-a-box lives or dies on the picker.

- **Persistent progress indicator.** "2 of 4 slots complete" or a filled-slot visual. The shopper must always know how far along they are.
- **Live running total**, even with flat pricing, so any extras are transparent.
- **Editable choices.** Going back to change slot 2 without losing slots 3 and 4 is essential. Forcing a restart is fatal.
- **Mobile-first layout.** Most boxes are built on phones. A grid that requires horizontal scrolling or pinch-zoom will not be completed.
- **A completion state that is clearly a completion.** The moment the box is valid, the primary action should change from "next" to "add to cart" and become visually dominant.
- **Save and resume**, if your average box takes more than a minute or two to build.

Slots stacked vertically on mobile mean a shopper must scroll past everything they have already chosen to reach the next decision. Use collapsible sections that close on completion, so the active slot is always at the top of the viewport.

## Inventory, which is where this actually gets hard

The operational side is the part that gets underestimated, and it is the part that generates support tickets.

**A component goes out of stock mid-session.** It must vanish from the picker immediately, and any in-progress box containing it needs a visible swap prompt with a suggested alternative. The failure state — completing a box and hitting an error at checkout — wastes several minutes of the customer's deliberate effort and is remembered.

**Inventory must decrement on the components, not on a box SKU.** This is the strongest argument for dynamic bundles over separate bundle products. If your box is a distinct SKU, your component stock levels are fiction the moment a box sells.

**Partial returns.** A customer returning one item from a six-item discounted box creates a refund calculation nobody has specified. Decide the policy up front: refund the discounted per-item price, not the full retail price, and make sure your team knows the rule.

**Popular-component starvation.** Boxes concentrate demand. One flavour will end up in 70% of boxes and will run out first, and its stockout degrades every box on the site simultaneously. Forecast component demand from box composition data, not from historical standalone sales.

## When not to build one

Build-a-box is not universally right.

- **Small catalogue.** Below roughly eight suitable products there is not enough variety for the format to feel like a choice. A curated fixed bundle communicates value better and takes an hour instead of a week.
- **High-consideration single purchases.** Nobody builds a box of laptops.
- **Products with wildly different costs.** Flat pricing breaks, and the workarounds get complicated fast.
- **Thin operational capacity.** If you cannot reliably keep twelve components in stock, the format will generate more disappointment than revenue.

## Measuring it

The important metric is not conversion — it is **completion**.

- **Picker start rate** — visitors who begin a box ÷ visitors to the box page.
- **Completion rate** — boxes completed ÷ boxes started. This is the health metric. Anything below roughly half suggests too many slots, too many options, or an unclear price.
- **Drop-off by slot.** Tells you exactly which decision is too hard. A cliff at slot 3 means slot 3 has too many options or an unclear purpose.
- **Average box value** compared with your standard AOV.
- **Component distribution** — which items appear in what share of boxes. This is your demand forecast and your merchandising insight in one table.

That last number is the quiet benefit of running a box at all. It tells you what your customers actually want together, which is more honest than any survey and more useful than any category report.

### FAQ

**What is the difference between build-a-box and mix-and-match?**

Mix-and-match usually means picking any qualifying number of items from a collection for a discount. Build-a-box adds structure - defined slots with different eligible products for each, such as one base, two flavours and one extra. Build-a-box generally converts better because the structure guides the shopper rather than leaving them with an open field.

**How many products should be available to choose from?**

Six to twelve per slot works well. Fewer than six feels restrictive enough that shoppers question whether the box is worth it. More than twelve and completion rate drops as the shopper stalls, particularly on mobile where scanning a long grid is slow.

**Should I price per box or per item?**

Per box wherever your margins allow. A flat price is instantly comprehensible and makes the value obvious. Per-item pricing with a running discount requires the shopper to track arithmetic while choosing, which is exactly the cognitive load a box is supposed to remove.

**What happens when a component goes out of stock?**

It must disappear from the picker immediately, and any box in progress that contains it needs a clear swap prompt. The failure mode - a customer completing a box and hitting an error at checkout - is one of the worst experiences in ecommerce because it wastes several minutes of deliberate effort.

**Are build-a-box bundles worth it for small catalogues?**

Usually not. A box needs genuine variety to feel like a choice. With fewer than about eight suitable products, a curated fixed bundle communicates value more clearly and takes a fraction of the setup effort.

## Bundle Discount Maths — How Deep You Can Go Before You Lose Money

URL: https://ninety9.dev/blog/bundle-discount-margin-maths.html
Published: 2026-02-10 (updated 2026-09-21)
Category: Bundles & Upsells · App: Addly: AI Bundles app & Upsell
Reading time: 7 minutes

Worked Shopify bundle margin maths: cannibalisation, discount stacking, shipping, returns and the break-even most stores skip.

Most bundle decisions are made with a rule of thumb. "Fifteen percent feels about right." "Competitors are doing twenty."

Neither of those is a calculation, and bundles are one of the few merchandising decisions where the arithmetic is both tractable and decisive. You can know, before launching, roughly what a given discount depth will do to your gross profit. It takes about twenty minutes.

## The core question

A bundle discount is paid to two groups of people:

- Customers who bought more **because** of the bundle. These are the reason the bundle exists.
- Customers who would have bought everything anyway. These are pure cost.

The whole model is the ratio between them.

## Estimating cannibalisation before you launch

The good news is that you do not have to guess. Your existing data contains a reasonable floor estimate.

Pull the last 90 days of orders. For products A and B that you intend to bundle:

> **Baseline attach rate** = orders containing both A and B ÷ orders containing A

If 38% of customers who buy A already buy B, then at least 38% of your bundle buyers were going to buy both regardless. In practice the real number is a little higher, because a bundle also attracts the people who were *nearly* going to.

A workable planning assumption is baseline attach rate plus about ten points. If your baseline attach is 38%, plan for roughly 48% cannibalisation.

A bundle at 25% off with 20% cannibalisation is usually profitable. The same bundle at 10% off with 70% cannibalisation is usually not. The discount is the number you control; cannibalisation is the number that decides.

## The break-even formula

Set up the variables:

- `P` = combined full price of the bundle
- `M` = blended gross margin on the bundle contents (as a decimal)
- `d` = discount depth (as a decimal)
- `c` = cannibalisation rate (as a decimal)
- `u` = share of bundle buyers who upgraded from buying just the anchor
- `n` = share who bought nothing before (`c + u + n = 1`)

Gross profit per 100 bundle buyers, compared with what those 100 people would have produced without the bundle:

```
Cannibalised group:  -100 × c × P × d
Upgrader group:      +100 × u × (P_added × M - P × d)
New buyers:          +100 × n × (P × M - P × d)
```

That looks heavier than it is. In practice you only need one question answered: **at what discount depth does the total go negative for my realistic cannibalisation rate?**

## A worked example

Product A: $60, 55% margin. Product B: $30, 50% margin. Bundle full price $90. Blended margin ≈ 53%.

Baseline attach rate between A and B is 30%, so plan for ~40% cannibalisation. Assume 45% upgraders (bought A only before) and 15% new buyers.

| Discount | Price | Cost of cannibalisation (per 100) | Gain from upgraders | Gain from new | Net |
|---|---|---|---|---|---|
| 5% | $85.50 | −$180 | +$473 | +$648 | **+$941** |
| 10% | $81.00 | −$360 | +$270 | +$581 | **+$491** |
| 15% | $76.50 | −$540 | +$68 | +$513 | **+$41** |
| 20% | $72.00 | −$720 | −$135 | +$446 | **−$409** |
| 25% | $67.50 | −$900 | −$338 | +$378 | **−$860** |

Break-even sits just above 15%. Anything deeper destroys value at this cannibalisation rate.

Now change one input. If cannibalisation were 20% instead of 40% — a genuinely novel pairing customers had not thought of — break-even moves out past 25%. Same products, same margins, completely different answer.

That is the whole argument for measuring rather than guessing.

## The three costs people forget

The table above is still optimistic, because three real costs are missing.

### 1. Discount stacking

Your bundle discount rarely applies alone. Add a site-wide promo code, a free shipping threshold the bundle now clears, and a loyalty discount, and the *effective* discount on a bundle order is routinely five to ten points deeper than the headline.

Model the worst realistic case: your deepest bundle, plus your most generous active code, plus free shipping, on your lowest-margin components. If that combination is unprofitable, either exclude bundles from code stacking or raise the free shipping threshold for bundle orders.

### 2. Shipping economics

This one usually helps. Two items in one parcel cost meaningfully less to fulfil than the same two items in two parcels, and bundles consolidate orders that might otherwise have been split.

If a bundle converts two separate future orders into one, you save an entire pick, pack and shipment. On low-value items that saving can be a large share of the discount you gave away. Include it — it is real money and it moves the break-even point outward.

### 3. Returns

Bundles change the returns picture in two ways.

Return *rate* often falls slightly, because curated sets have better fit than individually chosen items. But return *complexity* rises sharply, because a partial return on a discounted set raises a question most refund policies do not answer.

If a customer returns one $30 item from a $76.50 bundle, do you refund $30 or the effective discounted price of $25.50? If you refund full retail, the customer has effectively bought the remaining item at a deeper discount than you ever offered — and a small number of customers will work this out and do it deliberately.

Set the rule explicitly: refund the effective per-item price after the bundle discount. Write it into the policy and make sure support knows it.

A generous partial-return policy on discounted bundles is exploitable. It rarely becomes a large problem, but it is worth closing before it does rather than after.

## Sanity checks before you publish

Five questions. If you cannot answer all five, do not launch it yet.

1. **What is the baseline attach rate** between these products today?
2. **What is my break-even discount** at that cannibalisation rate?
3. **What is the deepest possible stack** — bundle plus code plus shipping — and is it still above break-even?
4. **What is the partial-return rule**, and does support know it?
5. **Which component runs out first**, and what happens to the bundle when it does?

## Reviewing a live bundle

Four numbers, monthly:

- **Effective discount rate** — total discount given ÷ total bundle revenue. Compare with the headline discount. The gap is your stacking leakage.
- **Incremental units** — units sold in bundles minus what the baseline attach rate predicts. This is your real output.
- **Gross profit per bundle order** versus your non-bundle average. The verdict.
- **Component stockout frequency.** A bundle that is unavailable half the month is not really running.

## The uncomfortable conclusion

Most stores are running at least one bundle that loses money, and it is usually the popular one — because popularity in a bundle often means it was an obvious combination, and obvious combinations have high cannibalisation.

The bundles that make money are frequently the less popular ones: the pairing customers had not thought of, the sample pack that introduces a new category, the accessory nobody knew existed. Those have low cannibalisation because there was no existing behaviour to cannibalise.

Which means the correct response to "this bundle sells brilliantly" is not to promote it harder. It is to check the attach rate it had before you launched it.

### FAQ

**How do I calculate whether a bundle is profitable?**

Compare the gross profit from incremental units the bundle creates against the discount given to customers who would have bought everything anyway. If the first number exceeds the second, the bundle is profitable. The hard part is estimating the second, which is your cannibalisation rate.

**What is cannibalisation in bundle pricing?**

The share of bundle buyers who would have purchased every item in the bundle regardless. Every one of them costs you the full discount for no behaviour change. Your existing attach rate between the products gives you a reasonable floor estimate before launch.

**What discount depth is safe for a bundle?**

There is no universal number because it depends on your gross margin and your cannibalisation rate. On a fifty-five percent margin product with moderate cannibalisation, discounts in the ten to eighteen percent range are usually comfortable. The formula in this article gives you your own figure rather than a rule of thumb.

**Should shipping cost be included in bundle margin calculations?**

Yes, and it usually improves the picture rather than hurting it. Shipping two items in one parcel costs meaningfully less than shipping them in two, so a bundle that consolidates orders recovers some of its discount in fulfilment savings.

**How do returns affect bundle profitability?**

More than most stores account for. A partial return on a discounted set raises a question your refund policy probably does not answer, and unresolved it defaults to refunding full retail on an item sold at a discount. Set the rule explicitly - refund the effective discounted price.