Shopify App Count and Core Web Vitals

Real-user Core Web Vitals grouped by how many apps a store runs, across Shopify stores with enough traffic to appear in Chrome UX Report data. Every row shows the number of stores behind it. These numbers say what travels with what, not what causes what.

Quick answer

Among Shopify stores with enough traffic to appear in Chrome UX Report data, 72.5% of stores running 5 apps pass Google’s Core Web Vitals on mobile (4,061 stores), against 68.4% of stores running 6 to 10 apps (16,563 stores). Stores that install more apps are also bigger and busier stores, so this is an association between store profiles, not a measure of what any app does.

Last updated September 4, 2026 · Updated daily

How this data is collected: every number here is real-world Chrome UX Report data on mobile, the Core Web Vitals that actual Chrome phone users experienced on real stores, matched against the apps we detect on those same stores. The app-count buckets are the same ones our app-stack distribution publishes, so a row here lines up with a row there.

Who is covered, stated plainly: Chrome UX Report only covers a store once it gets real traffic, so the stores measured here are larger than average. They run 7.71 apps each on average, against 6.06 across every store we hold app detections for. Comparisons between the rows hold up, because every row is drawn the same way. The pass rates themselves are not the pass rates of all Shopify stores, and should not be quoted as though they were.

Apps installed	Stores share of covered	CWV pass mobile	Median LCP · INP · CLS
1	1,706 stores · 3.9%	81.9%	1.5s · 114ms · 0
2	2,856 stores · 6.6%	77%	1.6s · 124ms · 0
3	3,706 stores · 8.5%	74.8%	1.6s · 129ms · 0
4	4,018 stores · 9.2%	72.6%	1.6s · 134ms · 0
5	4,061 stores · 9.3%	72.5%	1.7s · 136.5ms · 0
6-10	16,563 stores · 38.1%	68.4%	1.7s · 145ms · 0
11-20	10,002 stores · 23%	58.2%	1.9s · 162ms · 0.01
21+	622 stores · 1.4%	37.4%	2.2s · 187ms · 0.03

Real-world Chrome UX Report data on mobile. Apps installed is the number of apps we detect on the store, on the same buckets our app-stack distribution uses. CWV pass is the share of those stores passing all three Core Web Vitals, shown only where at least 25 stores back it; thinner buckets show a dash rather than a number, for the medians as well as the pass rate. Stores with no detected app are in no bucket, which is why 145 covered stores appear in none of these rows. Looking for the theme side of this? See the Shopify theme speed rankings.

One app at a time: the most-detected apps

The curve above groups stores by how many apps they run, which cannot say anything about a particular app. This board can. For each app we compare the stores running it against stores that are alike in the ways we can measure: same theme, same number of apps installed. Only groups holding stores on both sides count, and the without-the-app side is re-weighted to match the mix of groups the app's own stores sit in. The raw comparison sits alongside, because the two often disagree, and on some apps they disagree in direction.

A positive difference means stores running the app pass Core Web Vitals as often as comparable stores without it, which is a reason to say the app carries no measured speed cost. It is not a reason to say the app makes a store faster. Nothing here is a before-and-after measurement of one store, and an app is a marker of the kind of store that installs it as much as anything else.

App	Stores running it	Matched with vs without	Difference matched	Raw with vs without	Groups compared
Schema Markup	22,698 stores	67.4% vs 67.1%	+0.22 no real gap	67.6% vs 69.8%	415
Google Analytics	16,779 stores	66.1% vs 65.8%	+0.37 no real gap	65.9% vs 69.2%	1,129
Klaviyo	16,299 stores	71.4% vs 59.1%	+12.36 points better	70.3% vs 65.4%	996
Google Tag Manager	14,800 stores	61.1% vs 68%	−6.98 points worse	60.9% vs 72.6%	1,090
Judge.me Product Reviews App	14,599 stores	62.7% vs 67.7%	−5.02 points worse	62.2% vs 71%	1,130
Microsoft Clarity: AI Insights	10,662 stores	58.7% vs 67.1%	−8.32 points worse	58.5% vs 71.5%	974
Loox ‑ Product Reviews App	9,205 stores	65.5% vs 62%	+3.54 points better	64.7% vs 68.7%	868
Countdown Timer	6,658 stores	63.7% vs 64.3%	−0.62 no real gap	62.8% vs 68.7%	789
Recharge	6,504 stores	60.7% vs 62.2%	−1.5 points worse	60.1% vs 69.3%	836
Yotpo	5,465 stores	64.1% vs 62.4%	+1.7 points better	63% vs 68.6%	679
Triplewhale	4,009 stores	61.4% vs 61.9%	−0.53 no real gap	60.8% vs 68.5%	546
Rebuy Personalization Engine	3,505 stores	65.1% vs 59.4%	+5.68 points better	63.9% vs 68.1%	521
PageFly ✦ AI Page Builder	3,432 stores	63.6% vs 60.9%	+2.67 points better	63.4% vs 68.1%	580
Swym Wishlist	3,307 stores	61.8% vs 65%	−3.24 points worse	61.5% vs 68.3%	596
Gorgias	3,282 stores	64.2% vs 61.4%	+2.82 points better	63% vs 68.2%	512
Trustpilot	3,060 stores	66.6% vs 63.6%	+3.01 points better	66.4% vs 67.8%	606
Omnisend Email Marketing & SMS	2,866 stores	64.6% vs 64.3%	+0.27 no real gap	64.8% vs 67.9%	576
Facebook Pixel	2,635 stores	53.9% vs 63.8%	−9.89 points worse	53.8% vs 68.7%	577
Instafeed ‑ Instagram Feed	2,619 stores	67.5% vs 65.7%	+1.76 points better	67.1% vs 67.7%	546
Kaching Bundles	2,465 stores	63.2% vs 62.9%	+0.31 no real gap	62.9% vs 68%	374
Hotjar Install	2,401 stores	62.5% vs 62.4%	+0.12 no real gap	61.9% vs 68.1%	468
Cookie Consent	2,120 stores	66.3% vs 60.6%	+5.61 points better	64.9% vs 67.9%	436
GemPages Landing Page Builder	2,023 stores	55.1% vs 62.9%	−7.78 points worse	54.5% vs 68.4%	410
Simprosys Google Shopping Feed	1,937 stores	66.3% vs 62%	+4.29 points better	65.2% vs 67.8%	429
Shopify Inbox	1,851 stores	74.6% vs 67.7%	+6.85 points better	74.4% vs 67.4%	508
Rebuy Smart Cart	1,704 stores	64.9% vs 60%	+4.82 points better	63.6% vs 67.9%	326
Pandectes Gdpr	1,606 stores	69.4% vs 61.4%	+8.08 points better	67.2% vs 67.7%	368
Tiktok Pixel	1,558 stores	44% vs 61.9%	−17.85 points worse	44.4% vs 68.7%	430
Eg Auto Add To Cart	1,509 stores	66.4% vs 63.1%	+3.21 points better	65.4% vs 67.8%	361
Kiwi Size Chart & Recommender	1,474 stores	67.6% vs 66.5%	+1.08 points better	67.7% vs 67.7%	358
Reconvert	1,474 stores	61.7% vs 62.4%	−0.76 no real gap	61.1% vs 67.9%	327
Hulk Form Builder	1,416 stores	62.1% vs 64.3%	−2.19 points worse	62.3% vs 67.9%	377
Shop Pay	1,375 stores	60.9% vs 59.2%	+1.71 points better	59.5% vs 68%	275
Powerful Form Builder	1,343 stores	66.8% vs 64.3%	+2.51 points better	66.3% vs 67.7%	375
Shogun ‑ Landing Page Builder	1,316 stores	64.6% vs 62.2%	+2.4 points better	63.6% vs 67.8%	371
Consentmo Gdpr	1,308 stores	68.3% vs 64.1%	+4.22 points better	67.7% vs 67.7%	368
Paypal	1,300 stores	65.9% vs 61.8%	+4.13 points better	64.1% vs 67.8%	355
Uppromote Affiliate	1,215 stores	66.8% vs 63.1%	+3.75 points better	66.5% vs 67.7%	337
Swatch King	1,055 stores	74.6% vs 70.9%	+3.69 points better	74.3% vs 67.5%	238
Releasit Cod Form	669 stores	32.8% vs 65.6%	−32.79 points worse	32.5% vs 68.2%	221

Stores running it is how many stores stand behind that row's matched figure. Matched is the share passing all three Core Web Vitals on mobile among stores with enough traffic to appear in Chrome UX Report data, the app's stores first and the re-weighted comparison group second. Groups compared is how many theme and app-load groups held stores on both sides; groups with stores on one side only take no part in the figure. An app needs at least 25 comparable stores before we publish a matched figure for it, so an app with too few is left off this board rather than shown as a blank row.

By app category

The same comparison asked of a whole category rather than one app: stores running at least one analytics app, or at least one page builder, against comparable stores running none of that kind. Categories are the App Store category each app is listed under. This is not an average of the per-app figures above, which would count a store running three tools of one kind three times over; each category is matched from scratch on the same theme and app-load groups.

Category	Stores running one	Matched with vs without	Difference matched	Raw with vs without	Groups compared
Analytics	23,748 stores	66.8% vs 70.1%	−3.22 points worse	65.4% vs 74.1%	942
Product reviews	22,492 stores	65.3% vs 65.6%	−0.3 no real gap	64.2% vs 73.5%	1,070
Email marketing	19,040 stores	70.5% vs 58.1%	+12.39 points better	69.4% vs 65.6%	1,006
Marketing - Other	6,792 stores	62.3% vs 64.7%	−2.4 points worse	62% vs 69%	916
Page builder	6,605 stores	62.2% vs 62.3%	−0.08 no real gap	61.6% vs 69%	797
Checkout - Other	5,285 stores	66% vs 60.2%	+5.84 points better	64.6% vs 68.2%	668
Upsell and cross-sell	5,136 stores	63.1% vs 62.6%	+0.44 no real gap	62.6% vs 68.5%	665
Support - Other	5,081 stores	67.7% vs 63.2%	+4.56 points better	66.5% vs 67.9%	766
Wishlists	3,542 stores	61.6% vs 65.4%	−3.83 points worse	61.3% vs 68.4%	612
Product bundles	3,434 stores	63.2% vs 62.8%	+0.38 no real gap	62.8% vs 68.1%	500
Legal	3,097 stores	68.6% vs 62.4%	+6.16 points better	66.9% vs 67.7%	557
Forms	2,724 stores	64.6% vs 64.4%	+0.26 no real gap	64.4% vs 67.9%	552
Cookie consent	2,649 stores	66.9% vs 61.8%	+5.05 points better	65.8% vs 67.8%	516
Chat	2,063 stores	60.5% vs 63.3%	−2.75 points worse	60.1% vs 68.2%	505
Currency and translation	2,027 stores	59.6% vs 64.1%	−4.49 points worse	60% vs 68.1%	447
Cart customization	1,888 stores	66.4% vs 63.2%	+3.23 points better	65.6% vs 67.8%	423
Affiliate programs	1,694 stores	65.3% vs 62.6%	+2.69 points better	64.7% vs 67.8%	406
Loyalty and rewards	1,546 stores	64.6% vs 64.1%	+0.49 no real gap	64.3% vs 67.8%	394
Fraud	1,517 stores	57.4% vs 64%	−6.61 points worse	57.5% vs 68.1%	419
Pricing optimization	1,249 stores	52.5% vs 60.5%	−8.01 points worse	51.8% vs 68.3%	254
Ads	1,206 stores	53.8% vs 60.6%	−6.79 points worse	53.1% vs 68.3%	290
Returns and exchanges	1,009 stores	68% vs 61.2%	+6.79 points better	67.1% vs 67.7%	291
Video and livestream	968 stores	48.1% vs 62.8%	−14.69 points worse	48% vs 68.2%	265
Order limits	832 stores	69% vs 63.2%	+5.8 points better	69.3% vs 67.6%	302
Images and media - Other	656 stores	59.7% vs 61.1%	−1.37 points worse	57.4% vs 67.9%	209
Accounts and login	573 stores	58.7% vs 63.8%	−5.08 points worse	58.6% vs 67.8%	191
Product variants	527 stores	65.9% vs 64.6%	+1.27 points better	64.7% vs 67.7%	216
Geolocation	459 stores	59.5% vs 63.9%	−4.35 points worse	59.4% vs 67.8%	170
Social proof	413 stores	60.2% vs 58.7%	+1.41 points better	59.9% vs 67.8%	160
Delivery and pickup	366 stores	63.7% vs 63.3%	+0.46 no real gap	63% vs 67.7%	150
Pop-ups	349 stores	62.3% vs 60.4%	+1.86 points better	61.3% vs 67.7%	163
Banners	316 stores	69.1% vs 63.2%	+5.96 points better	67.3% vs 67.7%	149
Navigation and menus	292 stores	58.8% vs 60.6%	−1.76 points worse	59.5% vs 67.7%	135
Payment experience	268 stores	58.8% vs 58.3%	+0.53 no real gap	55.9% vs 67.8%	125
Wholesale	238 stores	79.5% vs 67.7%	+11.83 points better	79.9% vs 67.6%	128
Image gallery	223 stores	73.2% vs 66.4%	+6.72 points better	72.6% vs 67.6%	119
Order tracking	210 stores	60.2% vs 63%	−2.77 points worse	61.1% vs 67.7%	107
Advertising - Other	207 stores	70.9% vs 61.4%	+9.52 points better	68.5% vs 67.7%	117
Gift wrap and messages	198 stores	71.6% vs 66.5%	+5.07 points better	71.3% vs 67.7%	110
Discounts	170 stores	56.9% vs 56.5%	+0.37 no real gap	58.4% vs 67.7%	98
Site optimization - Other	155 stores	58% vs 60.8%	−2.75 points worse	57.6% vs 67.7%	82
Gifts - Other	145 stores	77.9% vs 67.5%	+10.47 points better	77.3% vs 67.6%	76
Badges and icons	134 stores	58.5% vs 66.7%	−8.19 points worse	58.5% vs 67.7%	84
Search and filters	95 stores	32.6% vs 62.1%	−29.51 points worse	35.1% vs 67.8%	58
Stock alerts	85 stores	63.9% vs 63.5%	+0.33 no real gap	64.8% vs 67.7%	56
Product content	77 stores	57.1% vs 66.7%	−9.57 points worse	56.8% vs 67.7%	53
Gift cards	68 stores	63.2% vs 61.8%	+1.49 points better	64.2% vs 67.7%	48
Anti theft	53 stores	73.1% vs 67.9%	+5.17 points better	70.9% vs 67.7%	39
Pricing quotes	50 stores	65.3% vs 63.5%	+1.83 points better	64.2% vs 67.7%	44
Social trust - Other	50 stores	78% vs 69.6%	+8.45 points better	72.7% vs 67.7%	40
Animation and effects	48 stores	62.5% vs 58.6%	+3.86 points better	62.8% vs 67.7%	34
Order editing	41 stores	56.1% vs 62.7%	−6.57 points worse	53.1% vs 67.7%	31
Taxes	39 stores	79.5% vs 69.2%	+10.3 points better	76.6% vs 67.7%	28
Pre-orders	39 stores	84.2% vs 65.4%	+18.77 points better	81.4% vs 67.7%	35
Accessibility	31 stores	54.8% vs 55%	−0.13 no real gap	64.1% vs 67.7%	19
Mobile app builder	27 stores	48.2% vs 59%	−10.82 points worse	50% vs 67.7%	21

Read the columns the same way as the board above. A store counts for a category if we detect at least one app listed under it, so a store can appear on the with side of several categories at once. Categories with fewer than 25 comparable stores are left off, and so is a category that stands on barely more stores than its own largest app: if a category clears that app by less than 5% of its stores, the row would repeat that app's figures under a category name rather than tell you anything about the category. The question here is whether a store runs any app of a kind, not how many of them it runs. How the matching works, and what it cannot tell you, is set out in how we measure.

Frequently asked questions

Do Shopify stores with more apps have worse Core Web Vitals?

In our data, 72.5% of stores running 5 apps pass Google's Core Web Vitals on mobile, against 68.4% of stores running 6 to 10 apps. That is an association between store profiles, not a measurement of what apps do: a store that installs a dozen apps is usually bigger, older and busier than one that installs two, so the app count is a marker of the kind of store at least as much as anything else.

How many apps does a typical Shopify store run?

The median store we hold app detections for runs 5 apps, averaging 6.06 across 109,632 stores. The stores on this page average 7.71 apps, because Chrome UX Report coverage skews toward larger stores.

Which stores are counted in this data?

Only stores with enough real traffic to appear in Google's Chrome UX Report, which is a fraction of all Shopify stores and a larger-than-average one. The comparisons between rows hold up, since every row is drawn the same way, but the pass rates themselves should not be read as the pass rate of all Shopify stores.

Would removing an app make my store faster?

This data cannot answer that. It compares different stores against each other at one moment, not the same store before and after a change. To know what any single app does to your store, measure your own store with and without it.

How is this measured, and how often does it update?

Every figure is real-user Core Web Vitals from Google's Chrome UX Report on mobile, matched against the apps we detect on those same stores. The app counts use the same buckets as our app-stack distribution. Both refresh daily, after the nightly speed rollup.

How this data works

Every number on this page is real-world data from Google's Chrome UX Report, measured on mobile phones: the Core Web Vitals that actual Chrome users experienced on real stores. We take the most recent reading we hold for each store, count the apps we detect on that same store, and group the stores into the app-count buckets our app-stack distribution already publishes. Reporting a single form factor keeps the rows comparable, and mobile is where most storefront traffic and the tighter thresholds live.

What this is, and what it is not: an association between what a store runs and what its visitors measure. A store running twelve apps is typically older, larger and busier than a store running two, so the app count is a marker of the kind of store at least as much as anything else. Nothing here isolates one app, and nothing here is a before-and-after measurement of the same store. To know what a single app does to your store, measure your store with it and without it.

Coverage, and why it matters for the absolute figures: the Chrome UX Report only reports a site once it has enough real traffic, so the stores measured here are a fraction of all Shopify stores and a larger-than-average fraction. That is why every pass rate on this page is stated as a share of covered stores rather than of Shopify stores generally. The relationships between the rows survive that, because each row is drawn from the same pool the same way; the absolute pass rates do not.

How the two named boards are matched, and what they do not control for: every store is sorted into a group by the theme it runs and the number of apps installed on it, and only groups holding stores both with and without the app count toward the figure. The comparison side is then re-weighted to the mix of groups the app's own stores sit in, so the two sides are read across the same spread of themes and app loads. We match on theme and app load, and we do not control for catalogue size: the product counts we hold are recorded snapshots rather than live figures, and thousands of covered stores have no count at all, so matching on them would have narrowed the comparison without making it fairer. An app needs at least 25 comparable stores before a matched figure is published for it.

Why thin buckets show a dash: a bucket needs at least 25 stores of real-world data before we print a pass rate for it. The buckets at the far end of the stack hold the fewest stores, so they are the ones most likely to be blank, and the ones whose numbers move most between updates when they are not. Read the ends of the curve with the store counts next to them, which is why those counts are a column rather than a footnote.

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 →

Citing this data

Free to cite and republish with a link to shopthemedetector.com. Use these figures in articles, reports, and marketing pages. No permission request needed. Quote the date you read the page, since the numbers recompute daily.

ShopThemeDetector, "Shopify Store Speed by App Count", 2026. https://shopthemedetector.com/shopify-statistics/app-speed

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