The State of Web Vitals

Analytics on page

Analytics scripts present on the page.

Field data PhoneDesktopAll Scope All sites Q1 2026 edition · Phone field outcomes
Metric LCP INP CLS
1

At a glance the headline numbers for Analytics on page

Analytics scripts present on the page.

20
Categories
In the distribution
50.8%
Fleet share
Top: google_analytics_4
53.7%
Sites with any
Of google_analytics_4

50.8% of sites run Google Analytics.

The State of Web Vitals · Q1 2026 · 94,910 sites · phone field datacorewebvitals.io/state-of-cwv
2

The analytics on page mix who uses what, and how stable each group is

Median CLS (sites using feature)
0
0.10
0.20
0.30
0.40
0.50
Google analytics 40.0051% of sites
Universal analytics0.0038% of sites
Matomo0.007% of sites
Snowplow0.002% of sites
Plausible0.001% of sites
Umami0.000% of sites
At internet piano0.000% of sites
Posthog0.010% of sites
Fathom0.000% of sites
Statcounter0.000% of sites
Adobe analytics0.030% of sites
Mixpanel0.030% of sites
Pirsch0.030% of sites
Amplitude0.010% of sites
Clicky0.010% of sites
Simple analytics0.000% of sites
Chartbeat0.070% of sites
Goatcounter0.000% of sites
Heap0.030% of sites
Parsely0.180% of sites
VariantShare of sitesMedian
Google analytics 4
51%
0.00
Universal analytics
38%
0.00
Matomo
7%
0.00
Snowplow
2%
0.00
Plausible
1%
0.00
Umami
0%
0.00
At internet piano
0%
0.00
Posthog
0%
0.01
Fathom
0%
0.00
Statcounter
0%
0.00
Adobe analytics
0%
0.03
Mixpanel
0%
0.03
Pirsch
0%
0.03
Amplitude
0%
0.01
Clicky
0%
0.01
Simple analytics
0%
0.00
Chartbeat
0%
0.07
Goatcounter
0%
0.00
Heap
0%
0.03
Parsely
0%
0.18

Analytics on page. On the fleet: 50.8% google analytics 4, 38.1% universal analytics, 6.5% matomo. 53.7% of sites use at least one google_analytics_4.

The State of Web Vitals · Q1 2026 · 94,910 sites · phone field datacorewebvitals.io/state-of-cwv
3

Why this matters for the Core Web Vitals, and where to start fixing it

Analytics is script that exists for you, not for the visitor. It still runs on their main thread: listening to events, batching, sending beacons between interactions. Heavy analytics shows up as input delay, the wait before a click handler even starts.

One analytics tool is a cost. The second one is usually a question nobody asked. Count the tools, then ask who actually reads each report. Most stacks shrink fast under that question.

How does this affect the Core Web Vitals?

Analytics on page correlates with the INP. With Plausible, 95% of sites pass the INP. With Umami, 90% do. The causal link is weak: the choice mostly marks what kind of site made it.

The split is bigger on LCP. With Plausible, 92% of sites pass it. With Umami, 77% do.

Go fix it The case for limiting analytics and tracking scripts → Defer scripts until needed →
Related signals Third-party categories → Ad networks on page → Cookie wall detected → Third parties per page → Chrome field data from 94,910 sites, representing millions of real page loads · How we measured