Analytics impact

Sites running each analytics provider, ranked by their CWV.

Field data PhoneDesktopAll Scope All sites October 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
211,278
Sites in sample
Combined across all items
0.07
Best CLS (p75)
PostHog
The State of Web Vitals · October 2026 · 210,902 crawled 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 85.5%
325
2 Simple Analytics 0.08 77.8%
99
3 Pirsch 0.09 83.3%
125
4 Plausible 0.09 77.3%
2,252
5 Snowplow 0.09 76.7%
3,304
6 Matomo 0.09 77.7%
13,738
7 Fathom 0.10 75.2%
344
8 Universal Analytics 0.10 76.9%
80,431
9 StatCounter 0.10 75.4%
339
10 Google Analytics 4 0.10 76.8%
107,514
11 Umami 0.11 74.9%
938
12 Chartbeat 0.12 68.6%
83
13 Heap 0.12 73.8%
88
14 AT Internet/Piano 0.13 70.4%
584
15 Mixpanel 0.14 64.8%
134
16 Amplitude 0.14 67.6%
185
17 Clicky 0.15 62.9%
246
18 Adobe Analytics 0.19 55.6%
488
19 GoatCounter 0.20 60.0%
61
The State of Web Vitals · October 2026 · 210,902 crawled 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% 325 86% 0.07
Pirsch 0.1% 125 83% 0.09
Simple Analytics 0% 99 78% 0.08
Matomo 6.5% 13,738 78% 0.09
Plausible 1.1% 2,252 77% 0.09
Universal Analytics 38.1% 80,431 77% 0.10
Google Analytics 4 51% 107,514 77% 0.10
Snowplow 1.6% 3,304 77% 0.09
StatCounter 0.2% 339 75% 0.10
Fathom 0.2% 344 75% 0.10
Umami 0.4% 938 75% 0.11
Heap 0% 88 74% 0.12
AT Internet/Piano 0.3% 584 70% 0.13
Chartbeat 0% 83 69% 0.12
Amplitude 0.1% 185 68% 0.14
Mixpanel 0.1% 134 65% 0.14
Clicky 0.1% 246 63% 0.15
GoatCounter 0% 61 60% 0.20
Adobe Analytics 0.2% 488 56% 0.19
Parsely 0% 42 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

86% of PostHog sites pass CLS. Adobe Analytics trails 30 points behind, leaving 44% of its sites failing. computed

The State of Web Vitals · October 2026 · 210,902 crawled 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
Google Analytics 4 51%
852.0s
9968ms
770.10
811.6s
601.2s
Universal Analytics 38.1%
852.1s
9968ms
770.10
801.6s
591.2s
Matomo 6.5%
891.8s
9971ms
780.09
851.5s
651.0s
Snowplow 1.6%
882.0s
9877ms
770.09
851.5s
601.1s
Plausible 1.1%
911.7s
10062ms
770.09
891.3s
72863ms
Umami 0.4%
862.0s
10067ms
750.11
861.4s
71911ms
AT Internet/Piano 0.3%
842.1s
9876ms
700.13
831.5s
67942ms
Adobe Analytics 0.2%
822.3s
93108ms
560.19
801.7s
72892ms
Fathom 0.2%
852.0s
9965ms
750.10
801.6s
68963ms
StatCounter 0.2%
851.9s
10067ms
750.10
821.5s
601.1s
PostHog 0.2%
842.0s
9992ms
860.07
831.5s
631.0s
Clicky 0.1%
881.6s
10062ms
630.15
861.3s
70895ms
Amplitude 0.1%
792.2s
94123ms
680.14
821.6s
71888ms
Mixpanel 0.1%
792.3s
9286ms
650.14
861.5s
71873ms
Pirsch 0.1%
871.8s
10072ms
830.09
921.3s
71970ms
Simple Analytics 0%
862.0s
10058ms
780.08
811.4s
61987ms
Heap 0%
712.6s
94128ms
740.12
801.4s
68951ms
Chartbeat 0%
991.7s
91113ms
690.12
971.3s
85599ms
GoatCounter 0%
1001.3s
10063ms
600.20
1001.0s
89569ms
Parsely 0%
972.0s
79170ms
150.18
911.7s
65966ms
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: 86% of its sites pass. Adobe Analytics trails at 56%. computed

The State of Web Vitals · October 2026 · 210,902 crawled sites · desktop field datacorewebvitals.io/state-of-cwv
Related signals Marketing pixels (10) → Session recording (11) → Ad networks (9) → Reviews (8) → 210,902 crawled sites with Chrome field data, representing millions of real page loads · How we measured