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How Many Companies Are Detectably A/B Testing, And Across How Many Experiments?

  • By Ali Abouelatta
  • n = 4,814
  • Published
  • Updated
  • 2 min read
  • experiments · mobile · web · paywall · saas

Short answer

Lazyweb Research detected 4,814 before/after UI experiments across 362 distinct companies within its ~800 tracked-apps corpus source[1]source[2]. Of those, 2,160 area-level annotations cover 1,126 experiments, and the activity is overwhelmingly mobile: 4,449 experiments (92.4%) are mobile versus 365 (7.6%) web source[1]source[3]. Testing is broad but uneven — 362 of ~809 tracked apps show at least one detected experiment source[2].

The quotable stat
Lazyweb Research detected 4,814 UI experiments across 362 companies, 92.4% of them on mobile — July 2026.

Bar chart · Value

Value — The headline denominators

One block is about 28.4 Value

Detected experiments
4,814
Companies with >=1 experiment
362
Area annotations
2,160
Annotated experiments
1,126
Mobile experiments
4,449 (92.4%)
Web experiments
365 (7.6%)
Paywall CTA experiments
795

The finding: broad, mobile-dominated activity

The corpus contains 4,814 detected before/after UI experiments across 362 distinct companies source[1]source[2]. Area-level analysis covers a subset: 2,160 annotations over 1,126 experiments source[1]. The platform split is lopsided — 4,449 experiments (92.4%) are mobile and 365 (7.6%) are web source[3]. So the dataset is primarily a picture of mobile-app experimentation, with web as a thin supplement source[3].

The headline denominators

The numbers that anchor every cut in this family source[1]source[2]source[3]:

MeasureValue
Detected experiments4,814
Companies with >=1 experiment362
Area annotations2,160
Annotated experiments1,126
Mobile experiments4,449 (92.4%)
Web experiments365 (7.6%)
Paywall CTA experiments795

Within annotations, 1,280 are mobile (147 companies) and 880 are web (106 companies) source[4].

How to apply it

Use these denominators to weight everything else in this family: percentage cuts are honest only against the annotated subset (2,160), and web percentages are unreliable given just 365 web experiments source[1]source[3]. When you cite an area or category share, state the base — e.g. 'of 2,160 annotated experiments' — so the reader knows it isn't drawn from tens of thousands of tests source[1].

Caveats

Every experiment is an observed before/after screenshot pair with LLM-inferred rationale, not a measured A/B result source[5]. The ~800-app corpus is not a census of all apps, so 'how many companies test' means how many show detectable changes on tracked surfaces source[2]source[5]. Web is thin and gets absolute-count treatment source[3].

Real in-market screens

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

  • Cvs Account Setup screen — real in-market example tracked by Lazyweb Research
    Cvs1206 × 2622opens the full image
  • Moviepass Account Setup screen — real in-market example tracked by Lazyweb Research
    Moviepass1206 × 2622opens the full image
  • Zelle Sign in screen — real in-market example tracked by Lazyweb Research
    Zelle1206 × 2622opens the full image
  • Merlin Bird Onboarding screen — real in-market example tracked by Lazyweb Research
    Merlin Bird1206 × 2622opens the full image

The numbers

#StatComputed from
[1]4,814 detected experiments; 2,160 area annotations; 1,126 annotated experiments; 795 paywall CTA experimentstotals
[2]362 distinct companies with >=1 detected experiment, out of ~809 tracked appscompanies_with_experiments
[3]Mobile 4,449 (92.4%) / web 365 (7.6%) of 4,814 detected experimentsplatform_split_experiments
[4]Annotations: 1,280 mobile (147 companies) / 880 web (106 companies)platform_split_annotations
[5]All experiments are observed before/after screenshots with LLM-inferred rationale, not measured A/B resultsuniverse; smallSampleWarnings

Methodology

Universe is 4,814 detected before/after UI experiments across 362 companies within the ~800 tracked-apps corpus, with 2,160 area annotations over 1,126 experiments. All are LLM-detected observations, July 2026, not measured A/B results; web is thin.

Sources

  1. [1]

    Lazyweb Research analysis of 4,814 detected experiments (~800 tracked apps), July 2026

    Headline denominators: experiments, annotations, annotated experiments, paywall CTA subset.

    Back to text

  2. [2]

    Lazyweb Research analysis of 362 companies with detected experiments (~800 tracked apps), July 2026

    Distinct companies with >=1 detected experiment out of ~809 tracked apps.

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  3. [3]

    Lazyweb Research analysis of platform split (~800 tracked apps), July 2026

    Mobile vs web experiment counts.

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  4. [4]

    Lazyweb Research analysis of annotation platform split (~800 tracked apps), July 2026

    Mobile/web annotation and company counts.

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  5. [5]

    Lazyweb Research methodology note (~800 tracked apps), July 2026

    Experiments are observations, not measured A/B results.

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

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