The State of Web Vitals

Analytics impact

Sites running each analytics provider, ranked by their CWV.

Field data PhoneDesktopAll Scope All sites Q2 2026 edition · Desktop field outcomes
Metric LCP INP CLS
1

At a glance the headline numbers for Analytics impact

Sites running each analytics provider, ranked by their CWV.

19
Providers ranked
After min-sites filter
190,340
Sites in sample
Combined across all items
0.07
Best CLS (p75)
PostHog
The State of Web Vitals · Q2 2026 · 189,915 sites · desktop field datacorewebvitals.io/state-of-cwv
2

The ranking sorted by CLS at p75, fastest first

# Provider CLS p75 Passing Sites
1 PostHog 0.07 83.9%
295
2 Pirsch 0.09 81.0%
114
3 Simple Analytics 0.09 75.9%
92
4 Plausible 0.09 78.3%
2,015
5 Snowplow 0.09 76.8%
3,010
6 Matomo 0.09 77.8%
12,405
7 Universal Analytics 0.10 76.8%
72,513
8 Fathom 0.10 77.6%
315
9 Google Analytics 4 0.10 76.7%
96,761
10 Umami 0.11 74.0%
826
11 StatCounter 0.11 74.3%
308
12 Chartbeat 0.12 69.8%
76
13 Heap 0.12 73.1%
73
14 AT Internet/Piano 0.12 70.9%
528
15 Mixpanel 0.13 64.6%
117
16 Amplitude 0.14 69.1%
169
17 Clicky 0.15 62.5%
225
18 GoatCounter 0.18 62.5%
56
19 Adobe Analytics 0.20 55.2%
442
The State of Web Vitals · Q2 2026 · 189,915 sites · desktop field datacorewebvitals.io/state-of-cwv
3

Passing CLS per provider which group passes the CLS most often

ProviderSitesPassing CLSp75
PostHog 0.2% 295 84% 0.07
Pirsch 0.1% 114 81% 0.09
Plausible 1.1% 2,015 78% 0.09
Matomo 6.5% 12,405 78% 0.09
Fathom 0.2% 315 78% 0.10
Snowplow 1.6% 3,010 77% 0.09
Universal Analytics 38.1% 72,513 77% 0.10
Google Analytics 4 50.9% 96,761 77% 0.10
Simple Analytics 0% 92 76% 0.09
StatCounter 0.2% 308 74% 0.11
Umami 0.4% 826 74% 0.11
Heap 0% 73 73% 0.12
AT Internet/Piano 0.3% 528 71% 0.12
Chartbeat 0% 76 70% 0.12
Amplitude 0.1% 169 69% 0.14
Mixpanel 0.1% 117 65% 0.13
GoatCounter 0% 56 63% 0.18
Clicky 0.1% 225 63% 0.15
Adobe Analytics 0.2% 442 55% 0.20
Parsely 0% 36 0.18
Good Needs Improvement Poor Sorted best-passing first · median colored by its own rating · pass = good CLS (0.1 at p75) · one value per site

84% of PostHog sites pass CLS. Adobe Analytics trails 29 points behind, leaving 45% of its sites failing. computed

The State of Web Vitals · Q2 2026 · 189,915 sites · desktop field datacorewebvitals.io/state-of-cwv
4

All five vitals at once the whole category without toggling - cell is the pass rate, small number the p75

LCP
INP
CLS
FCP
TTFB
Snowplow 1.6%
872.0s
9877ms
770.09
841.5s
601.1s
Pirsch 0.1%
851.8s
10076ms
810.09
911.3s
671.1s
Chartbeat 0%
981.8s
90124ms
700.12
971.3s
85593ms
PostHog 0.2%
822.1s
9991ms
840.07
831.6s
641.0s
Adobe Analytics 0.2%
832.3s
94106ms
550.20
811.6s
73892ms
AT Internet/Piano 0.3%
842.1s
9776ms
710.12
821.5s
67942ms
Amplitude 0.1%
812.1s
93128ms
690.14
831.5s
71888ms
GoatCounter 0%
1001.1s
10066ms
630.18
100898ms
100569ms
Matomo 6.5%
891.8s
9971ms
780.09
851.5s
651.0s
Universal Analytics 38.1%
852.1s
9967ms
770.10
801.6s
581.2s
Google Analytics 4 50.9%
852.0s
9967ms
770.10
811.6s
601.2s
Plausible 1.1%
901.7s
9962ms
780.09
891.3s
71883ms
Umami 0.4%
852.1s
9967ms
740.11
861.4s
71928ms
Fathom 0.2%
861.9s
9965ms
780.10
811.6s
69938ms
Mixpanel 0.1%
792.2s
9381ms
650.13
841.4s
72859ms
StatCounter 0.2%
851.9s
10069ms
740.11
831.5s
601.1s
Clicky 0.1%
871.7s
10062ms
630.15
841.3s
69898ms
Simple Analytics 0%
862.0s
10061ms
760.09
811.4s
62987ms
Heap 0%
672.6s
94128ms
730.12
751.6s
67951ms
Parsely 0%
961.9s
89167ms
140.18
891.6s
64970ms
60%95%+ passing Cell: pass rate, small number = p75 · faded rows: under 100 sites

One row per provider, one column per vital - the cell is the share of sites passing, the small number the p75. No toggling needed to see where the category actually differs.

PostHog leads on CLS: 84% of its sites pass. Adobe Analytics trails at 55%. computed

The State of Web Vitals · Q2 2026 · 189,915 sites · desktop field datacorewebvitals.io/state-of-cwv
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Related signals Marketing pixels (10) → Session recording (11) → Ad networks (9) → Reviews (8) → Chrome field data from 189,915 sites, representing millions of real page loads · How we measured