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
95ms
Best INP (p75)
Clicky
The State of Web Vitals · Q2 2026 · 189,915 sites · all devices field datacorewebvitals.io/state-of-cwv
2

The ranking sorted by INP at p75, fastest first

# Provider INP p75 Passing Sites
1 Clicky 95ms 99.4%
225
2 Plausible 96ms 97.3%
2,010
3 Snowplow 101ms 96.0%
3,006
4 GoatCounter 102ms 100.0%
56
5 Simple Analytics 109ms 94.7%
91
6 StatCounter 111ms 93.0%
308
7 Universal Analytics 113ms 95.3%
72,426
8 Fathom 114ms 98.4%
315
9 Google Analytics 4 114ms 95.2%
96,650
10 Matomo 118ms 95.8%
12,391
11 Umami 120ms 92.5%
826
12 Pirsch 120ms 96.6%
113
13 AT Internet/Piano 122ms 93.2%
527
14 Mixpanel 130ms 89.7%
117
15 PostHog 149ms 87.2%
295
16 Amplitude 170ms 84.1%
169
17 Chartbeat 174ms 78.6%
75
18 Adobe Analytics 178ms 82.6%
440
19 Heap 187ms 80.6%
73
The State of Web Vitals · Q2 2026 · 189,915 sites · all devices field datacorewebvitals.io/state-of-cwv
3

Passing INP per provider which group passes the INP most often

ProviderSitesPassing INPp75
GoatCounter 0% 56 100% 102ms
Clicky 0.1% 225 99% 95ms
Fathom 0.2% 315 98% 114ms
Plausible 1.1% 2,010 97% 96ms
Pirsch 0.1% 113 97% 120ms
Snowplow 1.6% 3,006 96% 101ms
Matomo 6.5% 12,391 96% 118ms
Universal Analytics 38.1% 72,426 95% 113ms
Google Analytics 4 50.9% 96,650 95% 114ms
Simple Analytics 0% 91 95% 109ms
AT Internet/Piano 0.3% 527 93% 122ms
StatCounter 0.2% 308 93% 111ms
Umami 0.4% 826 93% 120ms
Mixpanel 0.1% 117 90% 130ms
PostHog 0.2% 295 87% 149ms
Amplitude 0.1% 169 84% 170ms
Adobe Analytics 0.2% 440 83% 178ms
Heap 0% 73 81% 187ms
Chartbeat 0% 75 79% 174ms
Parsely 0% 36 77% 193ms
Good Needs Improvement Poor Sorted best-passing first · median colored by its own rating · pass = good INP (200ms at p75) · one value per site

99% of Clicky sites pass INP. Adobe Analytics trails 16 points behind. 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.

Clicky leads on INP: 99% of its sites pass. Adobe Analytics trails at 83%. 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