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% of stores running 5 apps pass Google’s Core Web Vitals on mobile (2,905 stores), against 68.4% of stores running 6 to 10 apps (12,117 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 August 20, 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 7.79 apps each on average, against 6.07 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	1,160 stores · 3.7%	81.1%	1.5s · 113ms · 0
2	2,027 stores · 6.4%	77.4%	1.5s · 124ms · 0
3	2,635 stores · 8.3%	74.4%	1.6s · 128ms · 0
4	2,896 stores · 9.2%	72%	1.6s · 133ms · 0
5	2,905 stores · 9.2%	72%	1.7s · 136ms · 0
6-10	12,117 stores · 38.3%	68.4%	1.7s · 145ms · 0
11-20	7,410 stores · 23.4%	57.8%	1.9s · 162ms · 0.01
21+	468 stores · 1.5%	36.1%	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 106 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	15,843 stores	67.4% vs 63.3%	+4.09 points better	67.2% vs 70.2%	326
Google Analytics	12,091 stores	65.8% vs 66.2%	−0.4 no real gap	65.4% vs 69.1%	927
Klaviyo	11,727 stores	71.6% vs 58.8%	+12.83 points better	70.2% vs 64.9%	813
Google Tag Manager	10,732 stores	61.4% vs 67.8%	−6.45 points worse	60.8% vs 72.2%	883
Judge.me Product Reviews App	10,506 stores	62.6% vs 67.3%	−4.71 points worse	61.9% vs 70.8%	930
Microsoft Clarity: AI Insights	7,810 stores	58.7% vs 67.3%	−8.58 points worse	58.3% vs 71.3%	799
Loox ‑ Product Reviews App	6,784 stores	65.1% vs 61.7%	+3.45 points better	63.9% vs 68.5%	715
Countdown Timer	4,853 stores	64% vs 64.4%	−0.39 no real gap	62.9% vs 68.4%	668
Recharge	4,742 stores	60.4% vs 62.2%	−1.84 points worse	59.6% vs 69.1%	697
Yotpo	4,039 stores	63.6% vs 62.3%	+1.28 points better	62.3% vs 68.4%	544
Triplewhale	2,973 stores	61.6% vs 61.8%	−0.23 no real gap	61% vs 68.2%	459
Rebuy Personalization Engine	2,593 stores	65% vs 59%	+6.04 points better	63.8% vs 67.8%	438
PageFly ✦ Landing Page Builder	2,480 stores	63.7% vs 60.5%	+3.16 points better	63% vs 67.8%	473
Gorgias	2,447 stores	64.8% vs 60.7%	+4.12 points better	63.3% vs 67.8%	429
Swym Wishlist	2,391 stores	62.2% vs 65%	−2.77 points worse	61.7% vs 68%	468
Trustpilot	2,206 stores	66.9% vs 63.6%	+3.32 points better	66.2% vs 67.5%	493
Omnisend Email Marketing & SMS	2,082 stores	65% vs 65%	−0.08 no real gap	65% vs 67.6%	460
Instafeed ‑ Instagram Feed	1,895 stores	67.7% vs 65.6%	+2.04 points better	66.9% vs 67.4%	441
Facebook Pixel	1,881 stores	53.8% vs 63.9%	−10.11 points worse	53.9% vs 68.4%	473
Kaching Bundles	1,825 stores	63.6% vs 62.6%	+1 points better	63.2% vs 67.7%	310
Hotjar Install	1,742 stores	61.1% vs 62.5%	−1.45 points worse	60.5% vs 67.9%	369
Cookie Consent	1,516 stores	66.4% vs 60.7%	+5.66 points better	64.8% vs 67.5%	353
GemPages Landing Page Builder	1,490 stores	55.4% vs 62.1%	−6.73 points worse	54.9% vs 68.1%	345
Simprosys Google Shopping Feed	1,404 stores	65.3% vs 61.9%	+3.37 points better	63.9% vs 67.6%	348
Shopify Inbox	1,352 stores	75.5% vs 68.3%	+7.28 points better	75% vs 67%	405
Rebuy Smart Cart	1,266 stores	65.3% vs 59.7%	+5.63 points better	64% vs 67.6%	279
Pandectes Gdpr	1,167 stores	69.7% vs 61.3%	+8.38 points better	67.5% vs 67.4%	297
Tiktok Pixel	1,136 stores	44% vs 62%	−18.07 points worse	44.9% vs 68.4%	363
Kiwi Size Chart & Recommender	1,129 stores	68.3% vs 65%	+3.37 points better	68.2% vs 67.3%	296
Eg Auto Add To Cart	1,099 stores	66.6% vs 62.3%	+4.31 points better	66% vs 67.4%	305
Reconvert	1,086 stores	62.9% vs 64.2%	−1.3 points worse	62.3% vs 67.6%	261
Hulk Form Builder	1,058 stores	61.6% vs 64%	−2.41 points worse	61.7% vs 67.6%	304
Shop Pay	1,003 stores	60.7% vs 58.7%	+2.03 points better	59.3% vs 67.7%	223
Powerful Form Builder	959 stores	66.9% vs 63.9%	+3.06 points better	66.5% vs 67.4%	301
Shogun ‑ Landing Page Builder	954 stores	63.5% vs 61.7%	+1.8 points better	62.5% vs 67.6%	294
Consentmo Gdpr	950 stores	68.2% vs 63.7%	+4.55 points better	67.5% vs 67.4%	285
Uppromote Affiliate	881 stores	66.7% vs 62.8%	+3.88 points better	66.4% vs 67.4%	268
Okendo	856 stores	68.9% vs 61.6%	+7.32 points better	66.8% vs 67.4%	248
Swatch King	821 stores	75.3% vs 70.5%	+4.77 points better	75.1% vs 67.2%	195
Releasit Cod Form	482 stores	31.7% vs 65.3%	−33.61 points worse	31.9% vs 68%	182

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	16,892 stores	66.7% vs 70.7%	−4.01 points worse	65% vs 74%	751
Product reviews	16,177 stores	65.4% vs 65.3%	+0.03 no real gap	63.8% vs 73.4%	873
Email marketing	13,666 stores	70.7% vs 57.6%	+13.07 points better	69.4% vs 65%	819
Marketing - Other	4,911 stores	62.4% vs 64.7%	−2.29 points worse	61.9% vs 68.6%	757
Page builder	4,783 stores	62.2% vs 61.5%	+0.7 no real gap	61.4% vs 68.6%	660
Checkout - Other	3,861 stores	65.9% vs 60.1%	+5.73 points better	64.3% vs 67.9%	567
Upsell and cross-sell	3,835 stores	63.7% vs 62.9%	+0.81 no real gap	63% vs 68.1%	549
Support - Other	3,768 stores	68.5% vs 62.8%	+5.68 points better	66.9% vs 67.5%	634
Wishlists	2,570 stores	61.7% vs 65.3%	−3.63 points worse	61.2% vs 68.1%	481
Product bundles	2,542 stores	63.4% vs 62.4%	+0.98 no real gap	62.9% vs 67.8%	409
Legal	2,260 stores	68.9% vs 62.3%	+6.59 points better	67% vs 67.4%	455
Forms	1,991 stores	64.3% vs 63.9%	+0.37 no real gap	64.1% vs 67.6%	444
Cookie consent	1,886 stores	66.7% vs 61.8%	+4.94 points better	65.6% vs 67.5%	406
Currency and translation	1,486 stores	59.4% vs 63.2%	−3.86 points worse	59.7% vs 67.8%	361
Chat	1,473 stores	59.9% vs 63.2%	−3.29 points worse	59.7% vs 67.9%	399
Cart customization	1,373 stores	66.6% vs 62.2%	+4.39 points better	66.1% vs 67.4%	351
Affiliate programs	1,208 stores	65.5% vs 62.3%	+3.21 points better	64.8% vs 67.5%	323
Fraud	1,133 stores	58.4% vs 62.7%	−4.23 points worse	58.2% vs 67.8%	338
Loyalty and rewards	1,098 stores	62.9% vs 63.7%	−0.84 no real gap	62.5% vs 67.6%	317
Pricing optimization	962 stores	53.1% vs 60.2%	−7.06 points worse	52.8% vs 67.9%	209
Ads	892 stores	53.7% vs 60.9%	−7.25 points worse	52.8% vs 68%	238
Video and livestream	740 stores	47.8% vs 62.4%	−14.53 points worse	48.1% vs 67.9%	222
Returns and exchanges	732 stores	68.4% vs 61%	+7.43 points better	67.3% vs 67.4%	237
Order limits	607 stores	68.5% vs 62.6%	+5.92 points better	68.5% vs 67.4%	238
Images and media - Other	477 stores	60% vs 61.6%	−1.62 points worse	58.4% vs 67.6%	173
Accounts and login	416 stores	60.2% vs 64%	−3.86 points worse	60% vs 67.5%	157
Product variants	412 stores	66.3% vs 64.5%	+1.84 points better	64.4% vs 67.4%	181
Geolocation	350 stores	59.8% vs 63.6%	−3.73 points worse	59.7% vs 67.5%	142
Social proof	313 stores	58.4% vs 60.2%	−1.74 points worse	58.6% vs 67.5%	128
Delivery and pickup	271 stores	65.8% vs 62.8%	+3 points better	64.9% vs 67.4%	125
Pop-ups	238 stores	62.3% vs 59.3%	+2.98 points better	59.7% vs 67.5%	121
Banners	225 stores	69.4% vs 62.4%	+7.06 points better	68.4% vs 67.4%	116
Navigation and menus	204 stores	58.6% vs 59.9%	−1.31 points worse	57.8% vs 67.4%	103
Payment experience	184 stores	64.6% vs 58.4%	+6.23 points better	61.3% vs 67.4%	97
Wholesale	167 stores	81.7% vs 68%	+13.76 points better	81.9% vs 67.3%	103
Order tracking	166 stores	65.6% vs 62.3%	+3.3 points better	65.1% vs 67.4%	85
Image gallery	164 stores	75.5% vs 68.1%	+7.41 points better	75.4% vs 67.3%	92
Advertising - Other	145 stores	73.1% vs 60.7%	+12.4 points better	70.4% vs 67.4%	90
Gift wrap and messages	140 stores	70.8% vs 66.6%	+4.18 points better	71.3% vs 67.4%	85
Discounts	128 stores	55.1% vs 54.6%	+0.52 no real gap	55.6% vs 67.4%	82
Site optimization - Other	118 stores	58.1% vs 61.6%	−3.5 points worse	57.5% vs 67.4%	70
Gifts - Other	105 stores	76.2% vs 66.6%	+9.64 points better	75.6% vs 67.3%	63
Badges and icons	98 stores	63.5% vs 66.9%	−3.37 points worse	62.4% vs 67.4%	66
Search and filters	79 stores	32.9% vs 61.4%	−28.49 points worse	35.9% vs 67.5%	51
Stock alerts	62 stores	58.3% vs 64.6%	−6.24 points worse	60.3% vs 67.4%	39
Product content	58 stores	60.3% vs 64.6%	−4.24 points worse	60% vs 67.4%	44
Gift cards	47 stores	60.9% vs 62.6%	−1.72 points worse	66.1% vs 67.4%	36
Anti theft	39 stores	76.3% vs 66.9%	+9.46 points better	76.9% vs 67.4%	30
Pricing quotes	34 stores	64.7% vs 62.7%	+2.05 points better	63.9% vs 67.4%	30
Social trust - Other	32 stores	75% vs 71.9%	+3.09 points better	69.4% vs 67.4%	26
Taxes	31 stores	77.4% vs 66.3%	+11.16 points better	75.7% vs 67.4%	23
Pre-orders	30 stores	86.7% vs 66.7%	+20.02 points better	80.6% vs 67.4%	28
Order editing	29 stores	44.8% vs 64.7%	−19.84 points worse	41.7% vs 67.4%	24

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% 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 6.07 across 102,686 stores. The stores on this page average 7.79 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 →

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