Analytics impact

Sites running each analytics provider, ranked by their CWV.

Field data PhoneDesktopAll Scope All sites Q2 2026 edition · All devices 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
190,113
Sites in sample
Combined across all items
0.02
Best CLS (p75)
Umami
The State of Web Vitals · Q2 2026 · 189,915 sites · all devices field datacorewebvitals.io/state-of-cwv
2

The ranking sorted by CLS at p75, fastest first

# Provider CLS p75 Passing Sites
1 Umami 0.02 88.9%
826
2 Plausible 0.02 90.9%
2,010
3 Snowplow 0.03 88.3%
3,006
4 Simple Analytics 0.03 84.3%
91
5 GoatCounter 0.03 88.0%
56
6 Matomo 0.04 87.9%
12,391
7 StatCounter 0.04 88.0%
308
8 Fathom 0.04 87.4%
315
9 Google Analytics 4 0.05 86.1%
96,650
10 Universal Analytics 0.05 86.5%
72,426
11 PostHog 0.06 86.4%
295
12 Amplitude 0.08 82.1%
169
13 AT Internet/Piano 0.08 82.5%
527
14 Clicky 0.08 81.3%
225
15 Chartbeat 0.11 67.6%
75
16 Heap 0.12 71.8%
73
17 Mixpanel 0.12 72.2%
117
18 Pirsch 0.14 74.3%
113
19 Adobe Analytics 0.21 61.0%
440
The State of Web Vitals · Q2 2026 · 189,915 sites · all devices field datacorewebvitals.io/state-of-cwv
3

Passing CLS per provider which group passes the CLS most often

ProviderSitesPassing CLSp75
Plausible 1.1% 2,010 91% 0.02
Umami 0.4% 826 89% 0.02
Snowplow 1.6% 3,006 88% 0.03
StatCounter 0.2% 308 88% 0.04
GoatCounter 0% 56 88% 0.03
Matomo 6.5% 12,391 88% 0.04
Fathom 0.2% 315 87% 0.04
Universal Analytics 38.1% 72,426 87% 0.05
PostHog 0.2% 295 86% 0.06
Google Analytics 4 50.9% 96,650 86% 0.05
Simple Analytics 0% 91 84% 0.03
AT Internet/Piano 0.3% 527 83% 0.08
Amplitude 0.1% 169 82% 0.08
Clicky 0.1% 225 81% 0.08
Pirsch 0.1% 113 74% 0.14
Mixpanel 0.1% 117 72% 0.12
Heap 0% 73 72% 0.12
Chartbeat 0% 75 68% 0.11
Adobe Analytics 0.2% 440 61% 0.21
Parsely 0% 36 31% 0.19
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

91% of Plausible sites pass CLS. Adobe Analytics trails 30 points behind, leaving 39% of its sites failing. computed

The State of Web Vitals · Q2 2026 · 189,915 sites · all devices 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
Google Analytics 4 50.9%
812.3s
95114ms
860.05
741.8s
551.3s
Universal Analytics 38.1%
802.3s
95113ms
870.05
731.9s
541.3s
Matomo 6.5%
852.0s
96118ms
880.04
791.7s
611.1s
Snowplow 1.6%
881.8s
96101ms
880.03
861.4s
75799ms
Plausible 1.1%
921.6s
9796ms
910.02
901.3s
81699ms
Umami 0.4%
822.1s
93120ms
890.02
811.6s
75805ms
AT Internet/Piano 0.3%
842.1s
93122ms
830.08
831.6s
69883ms
Adobe Analytics 0.2%
732.6s
83178ms
610.21
741.8s
65977ms
Fathom 0.2%
842.0s
98114ms
870.04
791.6s
641.0s
StatCounter 0.2%
822.2s
93111ms
880.04
771.7s
571.2s
PostHog 0.2%
792.4s
87149ms
860.06
691.9s
461.3s
Clicky 0.1%
911.6s
9995ms
810.08
851.3s
74831ms
Amplitude 0.1%
812.2s
84170ms
820.08
811.6s
72839ms
Mixpanel 0.1%
752.5s
90130ms
720.12
771.6s
68912ms
Pirsch 0.1%
902.0s
97120ms
740.14
961.5s
57916ms
Simple Analytics 0%
782.2s
95109ms
840.03
751.8s
611.1s
Chartbeat 0%
951.9s
79174ms
680.11
931.5s
77763ms
Heap 0%
613.0s
81187ms
720.12
652.3s
551.2s
GoatCounter 0%
961.5s
100102ms
880.03
961.3s
88553ms
Parsely 0%
971.9s
77193ms
310.19
831.7s
69898ms
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.

Plausible leads on CLS: 91% of its sites pass. Adobe Analytics trails at 61%. computed

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