# Best Shopify Size Chart Apps 2026 [751K Data]

> Compare the best Shopify size chart apps in 2026 using 751K-store data. Kiwi leads visible adoption, while 104,431 fit-sensitive 50K+ stores lack one.

Published: 2026-06-27
Author: StoreInspect Team
Tags: shopify, apps, size-chart, fashion, data-study
Canonical HTML: https://storeinspect.com/blog/best-shopify-size-chart-apps

![Best Shopify size chart apps data study](/images/blog/best-shopify-size-chart-apps.webp)

## TL;DR: Key Findings From 750,598 Shopify Stores

- **Only 8,083 stores use a detectable size chart, size guide, or fit app.** That is **1.08%** of the 750,598 current Shopify stores in our app-record dataset.
- **Kiwi Size Chart dominates visible adoption.** We found it on **7,121 stores**, equal to **88.1%** of detected size-chart stores.
- **Avada Size Chart is the second meaningful visible signal** with **973 detected stores**, but treat it as a legacy app-record signal, not a current recommendation by itself.
- **Advanced fit tools are rare in public app-name data.** True Fit, Smartsize, Sizebay, Bold Metrics, EasySize, Virtusize, and Fit Analytics together appear on **83 stores**.
- **Fashion accounts for 90.6% of detected size-chart stores.** We found **7,327 fashion stores** with a visible size chart or fit app.
- **Size-chart stores skew mature.** They are **3.7x more likely to be Shopify Plus**, **2.1x more likely to have 50K+ traffic**, and much more likely to run paid or custom themes.
- **The prospecting gap is large.** We found **104,431 contactable 50K+ fit-sensitive stores** with no detected size-chart app.

## Why Size Chart Apps Matter

Size charts are boring until they cost you money.

In apparel, footwear, sports gear, baby products, pet accessories, jewelry, uniforms, and outdoor equipment, the wrong size creates three problems at once: lower conversion, higher support volume, and more returns. That is why the best Shopify size chart apps should not be judged only by ratings or feature screenshots. The better question is which tools actually show up on live Shopify storefronts, which categories adopt them, and where merchants still have a visible fit-content gap.

Most "best Shopify size chart apps" articles list five to ten tools from the [Shopify App Store](https://apps.shopify.com/), summarize pricing, repeat vendor feature claims, and stop there.

That can help merchants build a shortlist, but it misses the questions agencies, app founders, CRO teams, and ecommerce operators usually care about:

- Which size chart apps are visible on real Shopify stores?
- Is this mostly a fashion-store workflow, or broader than apparel?
- Do size chart users look like serious merchants or tiny stores?
- Are AI fit-recommendation apps replacing simple size guides?
- Which stores are strong prospects for size-guide cleanup, PDP work, returns reduction, or fit-tech migration?

We analyzed **750,598 current Shopify stores** to answer those questions.

## How We Collected This Data

StoreInspect detects Shopify apps from public storefront data, including app names, script signatures, storefront markers, theme signals, tracking pixels, and other visible commerce signals. For this study, we analyzed StoreInspect's current storefront-detectable app records. Confirmed-dead stores were excluded.

| Metric | Value |
|---|---:|
| Stores with current app records | **750,598** |
| Stores with detectable size chart, size guide, or fit app | **8,083** |
| Visible adoption rate | **1.08%** |
| Stores with a simple size-guide app | **8,014** |
| Stores with an AI fit, fit-recommendation, or virtual-fitting app | **83** |
| Size-chart stores with 50K+ traffic | **6,255** |
| Size-chart stores on Shopify Plus | **991** |
| Size-chart stores in Fashion | **7,327** |
| Data extraction date | **June 27, 2026** |

What we can detect:

- named StoreInspect app records for size chart, size guide, and fit-recommendation tools
- category, traffic tier, Shopify Plus signal, theme type, app count, pixel count, product count, and contact availability
- adjacent stack signals such as [Klaviyo](/apps/klaviyo), [Judge.me](/apps/judge-me), [Loox](/apps/loox), [PageFly](/apps/pagefly), [Omnisend](/apps/omnisend), [Yotpo Reviews](/apps/yotpo-reviews), [Okendo](/apps/okendo), and [Rebuy](/apps/rebuy)

What we cannot fully detect:

- custom theme sections that show a static size chart with no app record
- size charts built into a paid theme or custom PDP template
- image-only size guides embedded in product descriptions
- backend-only fit workflows that do not leave a visible storefront app signal
- whether the size chart is accurate, localized, mobile-friendly, or tied to actual return-rate data

So read this as a study of **StoreInspect-visible size chart app adoption**, not a complete census of every Shopify store that has any sizing information.

## Quick Recommendation Table

Short version: choose Kiwi when you want the category's largest visible Shopify footprint, compare Clean Size Charts and BF Size Charts for lightweight size-guide workflows, test Smartsize or True Fit when recommendations matter more than static charts, and treat Avada detections as legacy evidence unless you are auditing an existing store.

| App or tool | Detected stores | Best fit |
|---|---:|---|
| [Kiwi Size Chart](https://apps.shopify.com/kiwi-sizing) | **7,121** | Apparel, footwear, accessories, and general fashion stores that want a proven Shopify size chart and fit-guide workflow |
| Avada Size Chart | **973** | Legacy stores where the size-chart record still appears in StoreInspect data and needs audit or migration review |
| [True Fit](https://www.truefit.com/) | **53** | Larger apparel and footwear brands that want AI fit personalization rather than only static size tables |
| [Smartsize](https://apps.shopify.com/smartsize) | **20** | Merchants testing a more modern App Store size recommender |
| [Sizebay](https://sizebay.com/) | **3** | Brands evaluating size recommendation and virtual fitting workflows |
| [Virtusize](https://www.virtusize.com/) | **2** | Apparel brands that want garment comparison or virtual fitting experiences |
| Long-tail size guide apps | **12** | Niche or lower-footprint tools such as GA Size Chart, Panda Size Chart, Magefan, ILM, Printful Size Guide, and Sizechart Pro |

This is not a pure feature ranking. It separates StoreInspect's live-store adoption data from App Store positioning, review count, and vendor claims.

## Size Chart App Market Share

Among the 8,083 stores with a detectable size chart, size guide, or fit app, the category is extremely concentrated.

| Size chart app | Kind | Stores | Share of size-chart stores | 50K+ stores |
|---|---|---:|---:|---:|
| [Kiwi Size Chart](https://apps.shopify.com/kiwi-sizing) | Size chart and fit recommender | **7,121** | **88.1%** | **5,497** |
| Avada Size Chart | Size guide | **973** | **12.0%** | **767** |
| [True Fit](https://www.truefit.com/) | AI fit personalization | **53** | **0.7%** | **51** |
| [Smartsize](https://apps.shopify.com/smartsize) | AI fit recommender | **20** | **0.2%** | **12** |
| GA Size Chart Size Guides | Size guide | **3** | **0.0%** | **1** |
| Panda Size Chart | Size guide | **3** | **0.0%** | **3** |
| [Sizebay](https://sizebay.com/) | Size recommendation | **3** | **0.0%** | **3** |
| Bold Metrics | AI body measurement | **2** | **0.0%** | **2** |
| Boostify Size Charts | Size guide | **2** | **0.0%** | **2** |
| EasySize | Size recommendation | **2** | **0.0%** | **2** |
| [Virtusize](https://www.virtusize.com/) | Virtual fitting and size comparison | **2** | **0.0%** | **2** |
| Other detected size-guide apps | Mixed | **5** | **0.1%** | **2** |

Two things stand out.

First, Kiwi is the visible market. It appears on nearly nine out of ten stores where StoreInspect detects a size-chart app record. That does not mean Kiwi is the best choice for every merchant. It means Kiwi has the clearest current footprint in our live Shopify store data.

Second, the AI-fit layer is much smaller than the marketing narrative suggests. Across 750,598 app-record stores, we found only **83 stores** with a StoreInspect-visible AI fit, recommendation, or virtual-fitting app signal. That number misses some custom or enterprise implementations, but it still shows that static or semi-static size guides dominate the public Shopify app-name layer.

For category context, compare this with our studies on [product options apps](/blog/best-shopify-product-options-apps), [returns apps](/blog/best-shopify-returns-apps), [review apps](/blog/best-shopify-review-apps), [app market share](/blog/shopify-app-market-share), and [app combinations](/blog/best-shopify-app-combinations). Size charts are much narrower than reviews or email, but the stores using them are unusually mature.

## Simple Size Guides Still Dominate

The data splits into two very different workflows:

| Segment | Stores | Share of size-chart stores |
|---|---:|---:|
| Simple size-guide only | **8,000** | **99.0%** |
| Fit recommender or virtual fitting only | **69** | **0.9%** |
| Both simple guide and fit recommender | **14** | **0.2%** |

The market is not mostly AI fit recommendation. It is mostly size guides.

That matters for merchants and vendors. A static size table can reduce uncertainty if the product measurements are clear, the size unit is localized, and the chart is easy to reach on mobile. A fit recommender is a different product. It needs product data, user input, garment mapping, return feedback, and stronger QA. The buying motion is also different: a merchant can install a size chart app in an afternoon, but fit recommendation is usually a bigger merchandising and data project.

For agencies, this split creates two different pitches:

- **Cleanup pitch:** stores with no detected size chart, traffic, reviews, and fit-sensitive products may need a basic guide, PDP content, or theme implementation.
- **Upgrade pitch:** stores already using a simple guide may need measurement cleanup, mobile redesign, localization, or migration into recommendation logic.

StoreInspect found **8,000 simple size-guide users with no advanced fit-recommender signal**. That is the clearest migration pool for fit-tech vendors, CRO agencies, and PDP optimization teams.

## Adoption by Traffic Tier

Size chart adoption rises sharply as stores get larger.

| Traffic tier | Stores | Size-chart stores | Fit-recommender stores | Adoption |
|---|---:|---:|---:|---:|
| Under 50K | **472,569** | **1,828** | **10** | **0.387%** |
| 50K to 200K | **264,040** | **5,552** | **46** | **2.103%** |
| 200K to 1M | **13,863** | **694** | **25** | **5.006%** |
| 1M+ | **126** | **9** | **2** | **7.143%** |

The jump is clear. Size-chart adoption is under half a percent below 50K traffic, then climbs to **2.10%** in the 50K to 200K tier and **5.01%** in the 200K to 1M tier.

That fits the economics. A small fashion store can survive with basic product descriptions and manual support. A store with real traffic pays for sizing mistakes. Every unanswered fit question can cost a sale, and every bad size recommendation can become a return, exchange, support ticket, or negative review.

This is why traffic tier matters more than app count alone. The same missing size guide is a nice-to-have on a tiny store and a real conversion issue on a scaling apparel brand. For more on using traffic as a qualification layer, read [Shopify Store Benchmarks](/blog/shopify-store-benchmarks), [Shopify Stores With Budget](/blog/shopify-stores-with-budget), and [Shopify Lead Scoring](/blog/shopify-lead-scoring).

## Adoption by Catalog Size

Catalog depth also increases adoption, but the curve is less dramatic than traffic.

| Product catalog size | Stores | Size-chart stores | Fit-recommender stores | Adoption |
|---|---:|---:|---:|---:|
| Under 25 products | **232,711** | **1,762** | **4** | **0.757%** |
| 25 to 99 products | **189,088** | **1,637** | **16** | **0.866%** |
| 100 to 499 products | **179,051** | **2,300** | **29** | **1.285%** |
| 500 to 999 products | **51,283** | **826** | **4** | **1.611%** |
| 1,000+ products | **86,506** | **1,485** | **28** | **1.717%** |

Stores with 1,000+ products are more than twice as likely to show a size-chart app as stores with under 25 products. That makes sense, but product count is not enough. A large electronics catalog may not need fit guidance. A 60-product apparel brand with high traffic might need it badly.

Use catalog size as a second filter, not the first one. The better stack is category, traffic tier, review signal, returns pressure, product count, and contact availability.

That same pattern shows up in [Shopify app ICP targeting](/blog/shopify-app-icp-targeting), [Shopify app cold outreach](/blog/shopify-app-cold-outreach), and [how to find users for your Shopify app](/blog/how-to-get-users-for-your-shopify-app). One trait gives you a rough market. A stack of traits gives you a usable list.

## Fashion Owns the Category

Size chart adoption is mostly an apparel story.

| Category | Stores | Size-chart stores | Fit-recommender stores | Adoption |
|---|---:|---:|---:|---:|
| [Fashion](/top-shopify-stores/fashion) | **185,173** | **7,327** | **81** | **3.957%** |
| [Home & Garden](/top-shopify-stores/home) | **129,188** | **226** | **1** | **0.175%** |
| [Jewelry](/top-shopify-stores/jewelry) | **44,392** | **70** | **0** | **0.158%** |
| [Health & Wellness](/top-shopify-stores/health) | **33,453** | **59** | **0** | **0.176%** |
| [Sports & Fitness](/top-shopify-stores/sports) | **30,706** | **52** | **1** | **0.169%** |
| [Beauty](/top-shopify-stores/beauty) | **56,698** | **50** | **0** | **0.088%** |
| [Food & Beverage](/top-shopify-stores/food) | **69,928** | **44** | **0** | **0.063%** |
| [Electronics](/top-shopify-stores/electronics) | **22,208** | **39** | **0** | **0.176%** |
| [Pets](/top-shopify-stores/pets) | **10,885** | **28** | **0** | **0.257%** |
| [Outdoor & Adventure](/top-shopify-stores/outdoor) | **25,095** | **26** | **0** | **0.104%** |
| [Baby & Kids](/top-shopify-stores/baby) | **12,275** | **18** | **0** | **0.147%** |

[Fashion stores](/top-shopify-stores/fashion) account for **7,327** of the **8,083** detected size-chart stores. That is **90.6%** of the visible category.

The next categories are much smaller. Home stores can need sizing for furniture, rugs, bedding, and decor. Jewelry stores can need ring sizing. Sports stores can need gear and activewear sizing. Pet stores can need harness, collar, crate, and apparel measurements. But the visible app category is still overwhelmingly fashion-led.

For vertical context, pair this with our studies on [fashion store apps](/blog/best-shopify-apps-for-fashion-stores), [sports store apps](/blog/best-shopify-apps-for-sports-stores), [jewelry store apps](/blog/best-shopify-apps-for-jewelry-stores), [home store apps](/blog/best-shopify-apps-for-home-stores), and [beauty store apps](/blog/best-shopify-apps-for-beauty-stores). Size charts are not a generic Shopify install. They are a vertical workflow.

## Size-Chart Stores Are More Mature

The strongest pattern is not raw app share. It is merchant maturity.

| Signal | Size-chart stores | Share of size-chart stores | All app-record stores | Share of all app-record stores |
|---|---:|---:|---:|---:|
| Shopify Plus | **991** | **12.3%** | **24,924** | **3.3%** |
| Paid or custom theme | **5,996** | **74.2%** | **356,547** | **47.5%** |
| 50K+ traffic | **6,255** | **77.4%** | **278,029** | **37.0%** |
| 200K+ traffic | **703** | **8.7%** | **13,989** | **1.9%** |
| Has contacts | **6,720** | **83.1%** | **582,564** | **77.6%** |
| 100+ products | **4,611** | **57.0%** | **316,840** | **42.2%** |
| 5+ visible apps | **7,011** | **86.7%** | **402,428** | **53.6%** |
| 5+ visible pixels | **7,062** | **87.4%** | **477,844** | **63.7%** |
| Fit-sensitive category | **7,580** | **93.8%** | **341,979** | **45.6%** |

The average size-chart store has:

| Segment | Stores | Avg apps | Avg pixels | Avg lead score | Avg maturity layers |
|---|---:|---:|---:|---:|---:|
| Size-chart stores | **8,083** | **9.95** | **9.72** | **95.5** | **1.24** |
| Stores without detected size-chart apps | **742,516** | **5.59** | **6.67** | **77.7** | **0.75** |

Size-chart users are not random long-tail merchants. They are much more likely to have traffic, a serious theme, multiple visible apps, multiple pixels, and a high StoreInspect lead score.

This matters for prospecting. A detected size-chart app can be a positive ICP signal even if you do not sell size-chart software. It points to a merchant that likely cares about product-page content, conversion, fit risk, returns, reviews, and support volume.

## Adjacent Stack: What Size-Chart Stores Also Use

Size charts rarely show up alone. They sit near proof, lifecycle, merchandising, and product-page tools.

| Adjacent app | Category | Size-chart stores using it | Share of size-chart stores |
|---|---|---:|---:|
| [Klaviyo](/apps/klaviyo) | Email/SMS | **2,924** | **36.2%** |
| [Judge.me](/apps/judge-me) | Reviews | **2,017** | **25.0%** |
| [Loox](/apps/loox) | Reviews | **761** | **9.4%** |
| [PageFly](/apps/pagefly) | Page builder | **697** | **8.6%** |
| [Omnisend](/apps/omnisend) | Email/SMS | **414** | **5.1%** |
| Gorgias | Support | **312** | **3.9%** |
| [Yotpo Reviews](/apps/yotpo-reviews) | Reviews | **307** | **3.8%** |
| [Rebuy](/apps/rebuy) | Personalization/Upsell | **160** | **2.0%** |
| Product options apps | Product options | **148** | **1.8%** |
| [Okendo](/apps/okendo) | Reviews | **120** | **1.5%** |
| [Attentive](/apps/attentive) | SMS | **116** | **1.4%** |

The pattern is what you would expect from serious apparel and fit-sensitive stores:

- reviews help shoppers understand fit from other buyers
- email and SMS support product launches, back-in-stock flows, and VIP drops
- page builders and paid themes help brands control PDP content
- support tools pick up sizing questions, order edits, exchanges, and return pressure
- product options and personalization apps show up when sizing is part of a broader product-configuration workflow

If you are auditing a fashion store, do not look at the size chart in isolation. Look at the product page, reviews, returns flow, support layer, theme, and lifecycle stack together.

For broader stack context, use [Shopify tech stack by growth stage](/blog/shopify-tech-stack-by-growth-stage), [Shopify app bloat](/blog/shopify-app-bloat), [best Shopify app combinations](/blog/best-shopify-app-combinations), and [what apps top Shopify stores use](/blog/what-apps-do-top-shopify-stores-use).

## Current App Store Contenders to Compare

StoreInspect adoption is one signal. App Store fit is another.

Use this shortlist alongside the StoreInspect adoption table:

| App | Why compare it | Watch for |
|---|---|---|
| [Kiwi Sizing](https://apps.shopify.com/kiwi-sizing) | Largest visible footprint in our data, strong fit for apparel and fashion size guides | Theme integration, mobile chart placement, chart maintenance across collections |
| [BF Size Charts & Size Guides](https://apps.shopify.com/best-fit-size-charts-size-guides) | Current App Store contender for straightforward size charts and guides | Whether rules stay manageable across large catalogs |
| [Clean Size Charts: Size Guide](https://apps.shopify.com/size-charts-by-clean-canvas) | Lightweight size-chart workflow from a known Shopify theme/app provider | Whether the visual style matches the store's PDP design |
| [Smartsize](https://apps.shopify.com/smartsize) | Current fit-recommendation angle rather than only static charts | Data requirements, shopper questions, and fit-recommendation accuracy |
| [ILM Size Chart](https://apps.shopify.com/ilm-size-chart) | Long-tail size chart app that appears in StoreInspect records | Support, maintenance, and theme compatibility |
| [Magefan Size Chart](https://apps.shopify.com/magefan-size-chart) | Long-tail size chart app with a detectable record in our data | Whether it is enough for complex fashion catalogs |

The two tables answer different questions. StoreInspect data shows what is visible on live storefronts, while this comparison covers the apps merchants should also evaluate before installing.

## Prospecting Angles: Where the Gaps Are

The useful lead list is not "every store without a size chart." Most stores do not need one.

The useful list starts with fit-sensitive stores that already show budget, traffic, proof, or product-page complexity.

| Segment | Stores | Contactable | 50K+ traffic | 200K+ traffic |
|---|---:|---:|---:|---:|
| Fit-sensitive category, no detected size chart | **334,399** | **259,629** | **123,998** | **6,411** |
| Fashion, no detected size chart | **177,846** | **137,704** | **66,841** | **3,902** |
| Fit-sensitive, reviews app, no size chart | **86,666** | **72,748** | **50,457** | **3,048** |
| Fit-sensitive, returns app, no size chart | **563** | **497** | **527** | **113** |
| Simple size guide, no fit-recommender signal | **8,000** | **6,653** | **6,182** | **676** |
| Fit-sensitive, product options app, no size chart | **10,505** | **8,537** | **7,551** | **538** |

The best segment depends on what you sell. CRO agencies should start with 50K+ fashion stores with reviews, paid themes, traffic, and no detected size-chart app. Returns and CX consultants should look for fit-sensitive stores with returns or support signals. Fit-tech vendors should start with the **8,000** simple size-guide users where no advanced fit-recommender signal appears.

You can build these lists in the [StoreInspect dashboard](/) by combining category, traffic tier, app stack, product count, and contact filters. The highest-value accounts are not defined by one missing app. They are defined by fit risk plus enough demand for the fix to matter.

## What Merchants Should Actually Choose

If you are choosing a Shopify size chart app, start with the job, not the brand name.

### Choose a size chart app when the product needs clear measurements

This is the common case. Apparel, shoes, rings, pet gear, baby clothes, uniforms, sports equipment, and outdoor gear often need dimensions, unit conversions, measuring instructions, or product-specific notes. For this workflow, test Kiwi, Clean Size Charts, BF Size Charts, ILM, Magefan, and similar size-guide tools.

The deciding factors are not only price and reviews. Test mobile placement, collection rules, product-tag mapping, unit localization, and whether staff can maintain charts without editing code.

### Choose a fit recommender when static measurements are not enough

Fit recommendation is better when size depends on body shape, garment cut, brand-specific fit history, or product-specific measurements that shoppers cannot interpret from a table. That is where tools such as True Fit, Smartsize, Sizebay, Virtusize, Fit Analytics, EasySize, and Bold Metrics fit.

The evaluation bar should be higher. Check the product data requirements, shopper input flow, mobile behavior, international sizing logic, and whether recommendations reduce bad-fit orders instead of only adding another widget. Most Shopify stores are not there yet. Our data shows the public app-name layer is still dominated by simple guides.

### Skip the app if theme-native content is enough

Some merchants do not need another app. A well-built product template, collapsible row, metafield-backed table, or custom theme section can work if the catalog is small and the size guide is simple.

That is especially true if the store already runs a heavy app stack. Our [Shopify app bloat study](/blog/shopify-app-bloat) shows why every product-page app should earn its place. The practical rule: if the store has a few size-sensitive products, use theme-native content. If it has many products, collection-specific charts, multiple regions, or fit-specific return pressure, use an app or a custom data-backed implementation.

## FAQ

### What is the best Shopify size chart app?

Kiwi Size Chart is the largest StoreInspect-detected size chart app in our dataset, with **7,121 detected stores**. It is the safest starting point if you want the tool with the clearest live Shopify footprint. Merchants should still compare current App Store options such as BF Size Charts, Clean Size Charts, Smartsize, ILM, and Magefan based on theme fit, catalog rules, support, and mobile behavior.

### How many Shopify stores use size chart apps?

In our June 27, 2026 dataset, **8,083 of 750,598 app-record stores** had a detectable size chart, size guide, or fit app. That is **1.08%** visible adoption.

### Does this mean only 1.08% of Shopify stores have size charts?

No. It means only 1.08% of stores in this app-record dataset expose a StoreInspect-visible size chart, size guide, or fit app record. A store can still have a custom size chart, image chart, theme-native section, product-description table, or backend fit workflow that our app-name method does not count.

### Why does Kiwi Size Chart dominate the data?

Kiwi has the strongest visible Shopify app-name footprint in our current data. We found it on **7,121 stores**, equal to **88.1%** of detected size-chart stores. That reflects detectable live adoption, not a guarantee that Kiwi is the best fit for every merchant.

### Are AI fit recommendation apps common on Shopify?

Not in StoreInspect-visible app-name records. We found **83 stores** with an AI fit, fit-recommendation, or virtual-fitting app signal. That includes True Fit, Smartsize, Sizebay, Bold Metrics, EasySize, Virtusize, and Fit Analytics. Enterprise or custom deployments can be missed, so treat this as visible adoption, not total market share.

### Which Shopify categories need size charts most?

Fashion is the obvious leader. We found **7,327 fashion stores** with a detected size chart or fit app, equal to **90.6%** of all detections. Other relevant categories include sports, jewelry, baby, pets, outdoor, home, and health, but their visible adoption is much smaller.

### Should a Shopify store use an app or a custom size chart?

Use an app when the store needs reusable charts, product-specific rules, collection rules, localization, measurement guidance, or staff-friendly maintenance. Use theme-native content when the catalog is small and the sizing information is simple. A custom build makes sense for larger brands with complex fit data, strict performance requirements, or heavily customized PDPs.

### How should agencies find stores that need size chart work?

Start with fit-sensitive categories, then add traffic, reviews, product count, paid or custom theme, and contact availability. In this study, we found **104,431 contactable 50K+ fit-sensitive stores** with no detected size-chart app. That is a much better starting pool than every store without a size chart.

### What is the difference between size chart apps and product options apps?

Size chart apps help shoppers choose the right size. Product options apps collect extra choices such as text, files, materials, add-ons, or personalization fields. Some stores need both. For the broader configuration workflow, read our [best Shopify product options apps study](/blog/best-shopify-product-options-apps).

### Can StoreInspect detect every size chart app?

No. StoreInspect detects public storefront signals and current app-name records. It can miss custom charts, image charts, private apps, headless implementations, backend-only tools, and theme-native content. That is why we describe this as StoreInspect-visible adoption.

## Key Findings Table

| Finding | What it means |
|---|---|
| **8,083 stores** show a detectable size chart, size guide, or fit app | Visible adoption is narrow, but concentrated in high-value categories |
| **Kiwi Size Chart has 88.1% visible share** | The StoreInspect-detected category is highly concentrated |
| **Only 83 stores show advanced fit-recommendation signals** | Static and semi-static size guides still dominate public Shopify app records |
| **Fashion accounts for 90.6% of detections** | Size charts are a vertical workflow, not a generic Shopify app category |
| **77.4% of size-chart stores have 50K+ traffic** | Adoption rises with real demand and fit-risk economics |
| **104,431 contactable 50K+ fit-sensitive stores lack a detected size chart** | The strongest opportunity is targeted prospecting, not broad app-gap lists |