Which Page Areas Get A/B Tested Most — Hero, Pricing, or CTA?

The ranking

Of 2,160 area annotations across 1,126 annotated experiments, the top five areas account for the bulk of all testing activity: ^source[1]

The hero wins on raw volume, but notice that offer, pricing, and value props are all paywall-driven surfaces. Added together they reach 878 annotations — nearly twice the hero — so the monetization screen collectively absorbs more experimentation than any single area. ^{source[1]source[3]source[4]source[5]}

How to apply it

If you have one test slot, the field is telling you the hero and the paywall are where teams place their bets. The hero is the highest-traffic surface and gets the most attention (405 distinct experiments touched it). ^source[2] But if you sell a subscription, the offer/pricing/value-props cluster is where competitors are iterating hardest — and, as the impact rankings show separately, where model-scored impact runs highest. Don't spend your one slot on nav (6.9%) or announcement bars unless you have a specific hypothesis there.

Caveats

These are counts of observed before/after UI diffs with LLM-inferred rationale, not measured win rates — a heavily tested area means the field iterates there often, not that those tests all won. ^source[8] Web is thin (365 experiments / 880 annotations), so nav and form volumes reflect a smaller web corpus. ^source[9] Shares are of the 2,160-annotation base.

Real in-market screens

Screens from real, in-market apps, tracked by Lazyweb Research.

The numbers

Methodology

Universe: 2,160 area annotations across 1,126 of 4,814 detected before/after UI experiments (362 companies) in the ~800 tracked-apps corpus, area-labelled by LLM from paired screenshots, July 2026. Shares are of the 2,160-annotation base; all counts are observed UI diffs, not measured A/B outcomes.

Sources

Source: Lazyweb Research — proprietary analysis of real, in-market app screens. Cite as Lazyweb Research, 2026-07-07.

Explore the evidence