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Ecommerce Core Web Vitals benchmarks by platform

BootLeads matched 1,565,756 active online stores to August 2026 Chrome UX Report data. That is 24.4% of the stores we track; among those with all three metrics, 61.9% pass LCP, INP and CLS.

Monthly, all-device data for each site as a whole. These are not PageSpeed Insights mobile scores or traffic estimates, and they do not show that a platform causes the result.

Updated

Active stores
6,413,273
Six supported platforms
With Chrome data
1,565,756
24.4% of active stores
With all three metrics
1,166,261
74.5% of stores with Chrome data
Pass all three
722,457
61.9% of stores with all three

Key findings

  • Chrome data covers 13.5% of Wix stores and 58.9% of Magento stores, so compare pass rates together with coverage.
  • Among stores with all three metrics, the pass rate ranges from 38.9% on WooCommerce to 81.7% on Shopify. This describes the stores, not the platforms themselves.
  • A store passes when at least 75% of Chrome visits are good on each of LCP, INP and CLS.

Core Web Vitals by ecommerce platform

Chrome data is counted against all active stores. The pass rate only counts stores with all three metrics.

Platform With Chrome data All three metrics Pass all three Median p75 Most common miss
Shopify2,618,159 active
26.6% 696,111
538,950 77.4% of those with data
81.7% 440,329
16.8% of all active 		LCP 1.43 s INP 89 ms CLS 0 INP 8.0% need work
WooCommerce2,918,569 active
23.5% 687,158
492,085 71.6% of those with data
38.9% 191,598
6.6% of all active 		LCP 2.66 s INP 77 ms CLS 0 LCP 56.1% need work
Wix708,306 active
13.5% 95,922
63,362 66.1% of those with data
79.0% 50,028
7.1% of all active 		LCP 1.45 s INP 69 ms CLS 0 LCP 17.9% need work
PrestaShop103,792 active
49.3% 51,186
41,898 81.9% of those with data
60.1% 25,179
24.3% of all active 		LCP 1.90 s INP 79 ms CLS 0 LCP 26.1% need work
BigCommerce29,761 active
50.2% 14,949
12,131 81.1% of those with data
63.6% 7,715
25.9% of all active 		LCP 1.64 s INP 59 ms CLS 0.024 CLS 31.7% need work
Magento34,686 active
58.9% 20,430
17,835 87.3% of those with data
42.7% 7,608
21.9% of all active 		LCP 2.13 s INP 80 ms CLS 0.047 CLS 38.2% need work

A store can miss more than one metric. Median p75 is the middle store's 75th-percentile value; passing is judged on the share of good visits, not on p75 alone.

Turn site speed into a prospect list

SEO, CRO and development agencies can use Core Web Vitals as one signal, then check each store before reaching out.

  1. 1

    Pick a segment

    Choose a platform, country and category, then add the Core Web Vitals filter.

  2. 2

    Review stores

    Open a store, see which metric fails and confirm it fits your offer.

  3. 3

    Export

    Export the stores you picked with their Core Web Vitals month, status and metrics.

More on this in the agency prospecting guide.

Questions about the benchmark

Why can Shopify's pass rate look high?

The rate is calculated among Shopify stores with all three metrics, not every Shopify store. Coverage and sample sizes are shown next to it.

Is this the same as Shopify's web performance report?

No. Shopify reports 30- or 90-day performance by device and page type for a merchant's own store. This benchmark uses one monthly, all-device snapshot to compare platforms.

Does passing Core Web Vitals guarantee better rankings?

No. Core Web Vitals are one part of page experience, and passing does not guarantee indexing, rankings, traffic or conversions.

Sources: Chrome UX Report Core Web Vitals thresholds Shopify web performance reports

About this data

  • Coverage is measured against all active stores. The pass rate only counts stores with all three metrics.
  • Data is monthly Chrome UX Report data for each site as a whole, combining phones and desktops. It does not split devices or individual pages.
  • Chrome only reports sites with enough real visits, so having data says nothing about traffic, revenue or rankings.
  • Themes, apps, hosting and audiences differ between platforms, so these figures show patterns, not causes.

See what each field means and how complete the data is.

Put this data to work

Search the stores behind these numbers, review them and export the fields you need.

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