Kiwi Size Chart & Recommender runs on 2.9% of the 3,500,000+ Shopify stores across our full detection dataset. For how its share is moving right now, see app trends.
#24 most-used app in our datasetKiwi Size Chart & Recommender is a Shopify app used by 2.9% of the Shopify stores in our dataset, ranking #24 among all apps we track. The figure reflects the app detected on live storefronts, not App Store install counts.
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Kiwi Size Chart & Recommender has slipped from 3.2% to 1.3% of the stores scanned each month over recent months. See all Shopify trends →
Kiwi Size Chart & Recommender solves one expensive problem: shoppers guessing their size. Made by Staytuned, it adds clean, customizable size charts to product pages and pairs them with an AI recommender that asks a few questions and suggests the right fit. The payoff is fewer returns and more confident buyers, which is why it shows up most on apparel and footwear stores in our data, the categories where a wrong size is the top reason for a refund.
The app covers both halves of the sizing problem. On the reference side, it ships more than twenty chart templates with flexible layouts, imports measurements in bulk by CSV, and auto-converts units to a shopper's local metric or imperial system. On the guidance side, the AI recommender turns a size chart from a passive table into an active tool that tells a customer which size to pick. Charts apply automatically by product or collection, so a large catalog does not mean manual work per item. Higher plans add analytics and translations, so you can see whether the tool is actually cutting returns.
Why it matters: Returns are a silent margin killer, and sizing is their biggest single cause in apparel and footwear. A good size chart plus a recommender attacks that directly, so for a store selling fitted products this is closer to essential than optional.
Where it shines: Breadth and ease. The template library and auto-apply rules make setup quick even on a big catalog, and the AI recommender does more than a static chart to actually change what a shopper buys. It handles international units without you thinking about it.
Who needs it most: Apparel, footwear, and anything sold by size. If your returns are driven by fit rather than quality, it earns its keep fast. A store with no sizing, like most homeware or electronics, gets little from it.
Before you commit: The value is in the recommender and analytics, which sit on the paid tiers. Start on a plan that includes the recommender, not just static charts, and watch your return rate over the first weeks. If fit returns drop, the subscription pays for itself many times over.
| # | App | % of stores | Usage |
|---|---|---|---|
| 1 |
Klaviyo
Email Marketing |
54.3% | |
| 2 |
Loox ‑ Product Reviews App
Product reviews |
33.2% | |
| 3 |
Judge.me Product Reviews App
Product reviews |
29.2% | |
| 4 |
Yotpo
Product reviews |
21.9% | |
| 5 |
Swatch King
Custom products - Other |
18.8% | |
| 6 |
Countdown Timer
Countdown timer |
17.3% | |
| 7 |
Triplewhale
Analytics |
12.4% | |
| 8 |
Swym Wishlist
Wishlists |
12% | |
| 9 |
Kaching Bundles
Product bundles |
11.9% | |
| 10 |
Recharge
Subscriptions |
11.8% |
| # | Theme | % of stores | Usage |
|---|---|---|---|
| 1 | Impulse |
17.2% | |
| 2 | Dawn |
10.7% | |
| 3 | Prestige |
9.5% | |
| 4 | Impact |
4.1% | |
| 5 | Broadcast |
3.4% | |
| 6 | Horizon |
3.3% | |
| 7 | Symmetry |
3% | |
| 8 | Kalles |
2.2% | |
| 9 | Minimog OS 2.0 |
1.8% | |
| 10 | ella |
1.6% |
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This figure comes from live detection: we scan Shopify storefronts and read the apps each one runs, then express it as a share of the 3,500,000+ stores in our dataset. It is a share of every store in our dataset, not just recently scanned stores, so it moves more slowly than the month-over-month figures on our trends page. We report what is currently detected, not historical installs or Theme Store / App Store counts.
Independent by design: rankings are determined solely by live detection data. Affiliate relationships never affect what ranks or how stores are counted. Read the full methodology →