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 fast each group loads

Median LCP (sites using feature)
0
0.5s
1s
1.5s
2s
2.5s
3s
3.5s
4s
Google analytics 41.7s51% of sites
Universal analytics1.7s38% of sites
Matomo1.5s7% of sites
Snowplow1.3s2% of sites
Plausible1.2s1% of sites
Umami1.5s0% of sites
At internet piano1.7s0% of sites
Posthog1.9s0% of sites
Fathom1.6s0% of sites
Statcounter1.5s0% of sites
Adobe analytics2s0% of sites
Mixpanel2.3s0% of sites
Pirsch1.8s0% of sites
Amplitude1.8s0% of sites
Clicky1.2s0% of sites
Simple analytics1.2s0% of sites
Chartbeat1.6s0% of sites
Goatcounter1.2s0% of sites
Heap2.3s0% of sites
Parsely1.7s0% of sites
VariantShare of sitesMedian
Google analytics 4
51%
1.7s
Universal analytics
38%
1.7s
Matomo
7%
1.5s
Snowplow
2%
1.3s
Plausible
1%
1.2s
Umami
0%
1.5s
At internet piano
0%
1.7s
Posthog
0%
1.9s
Fathom
0%
1.6s
Statcounter
0%
1.5s
Adobe analytics
0%
2s
Mixpanel
0%
2.3s
Pirsch
0%
1.8s
Amplitude
0%
1.8s
Clicky
0%
1.2s
Simple analytics
0%
1.2s
Chartbeat
0%
1.6s
Goatcounter
0%
1.2s
Heap
0%
2.3s
Parsely
0%
1.7s

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