# How Many Companies Are Running Detectable UI Experiments, and Who Tests Most?

Source: Lazyweb Research
Published: 2026-07-07
Sample size: n=4814
Tags: experiments, mobile, web, saas, ux-patterns, monetization
HTML: https://www.lazyweb.com/research/how-many-companies-run-detected-ui-experiments
Markdown: https://www.lazyweb.com/research/how-many-companies-run-detected-ui-experiments.md

**Answer.** Lazyweb Research detected 4,814 before/after UI experiments across 362 distinct companies within its ~800-app corpus by July 2026; 2,160 of those experiments carry area-level annotations. Testing is concentrated: the most active company (Workday) accounts for 32 annotated experiments, and the top 20 testers each run 11 or more. The corpus skews mobile — 4,449 of 4,814 experiments (92.4%) are mobile. [1]

> Lazyweb Research detected 4,814 UI experiments across 362 companies; the most active tester ran 32 annotated experiments — July 2026.

## The scale

Corpus headline numbers: [1]

| Metric | Value |
|---|---|
| Detected experiments | 4,814 |
| Companies with ≥1 experiment | 362 |
| Annotated experiments | 1,126 |
| Area annotations | 2,160 |
| Mobile / web experiments | 4,449 / 365 (92.4% / 7.6%) |

The corpus is overwhelmingly mobile: web contributes only 365 experiments (7.6%), so most cross-cutting findings describe mobile behavior. [2]

## Who tests most

The most-annotated companies (distinct experiments): Workday 32, Navan 24, Memrise 22, YouTube Music 22, Slack 22, Microsoft Auth 20, Apple Music 19, Audible 18, ChatGPT 17, Plantin 15. [3] The top 20 all run 11+ annotated experiments each. This is a long-tail distribution — a handful of very active companies plus a broad base of occasional testers across 362 firms. [1][3]

## How to apply it and caveats

Use this to calibrate benchmarks: when a page here cites a per-company or per-category pattern, the base is tens of experiments, not thousands. If you benchmark against 'what the field does,' remember it's really 'what these 362 tracked apps did,' skewed mobile. Caveats: these are observed UI diffs with inferred rationale, not measured A/B outcomes [4]; company counts join a control screenshot to a company name, so labeling edge cases exist.

## The numbers

| Stat | Computed from |
| --- | --- |
| 4,814 experiments / 2,160 annotations / 1,126 annotated experiments / 362 companies | statpack totals + companies_with_experiments |
| Mobile 4,449 (92.4%) / web 365 (7.6%) | statpack platform_split_experiments |
| Top testers: Workday 32, Navan 24, Memrise 22, YouTube Music 22, Slack 22, Microsoft Auth 20, Apple Music 19, Audible 18, ChatGPT 17, Plantin 15 | statpack top_testing_companies |
| Experiments are observed UI diffs with inferred rationale, not measured A/B outcomes | statpack methodology note |

## Methodology

Universe: 4,814 detected before/after UI experiments (4,449 mobile / 365 web) across 362 companies in the ~800-app corpus, with 2,160 area annotations on 1,126 experiments, July 2026. Company names join a control screenshot; all counts are observations, not measured lift.

## Sources & citations

- [1] Lazyweb Research analysis of 4,814 detected experiments across 362 companies, July 2026. 2,160 annotations on 1,126 experiments; ~800-app corpus.
- [2] Lazyweb Research analysis of 4,814 detected experiments, July 2026. Platform split: mobile 4,449 / web 365.
- [3] Lazyweb Research analysis of most-annotated companies, July 2026. Distinct annotated experiments per company; top 20 each ≥11.
- [4] Lazyweb Research methodology note, July 2026. Observed before/after diffs with inferred rationale, not measured results.

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