# What Is Adobe A/B Testing On Its App Home Surface?

Source: Lazyweb Research
Published: 2026-07-07
Sample size: n=38
Tags: landing-page, paywall, experiments, saas, design, web
HTML: https://www.lazyweb.com/research/adobe-home-surface-experiments
Markdown: https://www.lazyweb.com/research/adobe-home-surface-experiments.md

**Answer.** Lazyweb Research detected 38 distinct experiments at Adobe (July 2026), split across home (at least 18) and paywall (at least 7), with 3 detected in 2026. [1] Adobe's detected iteration leans toward the home/workspace surface, with a secondary paywall footprint. These are observed before/after variations with inferred rationale, not company-confirmed A/B tests.

> Lazyweb Research detected 38 Adobe experiments (July 2026), at least 18 on home and 7 on the paywall.

## The finding

Lazyweb Research detected **38 distinct experiments** at Adobe, with at least 18 on the home surface and at least 7 on the paywall. [1] Adobe iterates its in-app workspace/home more than its paywall — a pattern for a creative-tools subscription where activation on the core canvas drives retention more than any single upgrade screen.

## How to apply it

Adobe's home-heavy split (18 home vs. 7 paywall) is the benchmark for a creative-tools subscription: the workspace where users produce work is the primary test surface, with the paywall secondary. If your creative app over-invests in paywall testing, Adobe is evidence the activation surface may deserve more. Three experiments were detected in 2026. [1]

## Caveats

All figures are observed variations with LLM-inferred rationale, not company-confirmed A/B tests — no lift is measured. [1] Surface splits are lower bounds because screen category is unlabeled on 1,425 of 4,814 corpus experiments. [cat_null]

## The numbers

| Stat | Computed from |
| --- | --- |
| 38 distinct experiments; at least 18 home, at least 7 paywall | company_total:adobe (value 38; home 18, paywall 7, in-2026 3) |
| 1,425 of 4,814 experiments have no screen category | screen_category_null_on_experiments (1425/4814) |

## Methodology

Universe: 38 distinct Adobe experiments (COUNT(DISTINCT experiment_id)) within 4,814 detected before/after UI diffs across 276 companies, July 2026. Extraction: LLM-inferred rationale on observed variations. Caveat: detected variations only, never company-confirmed A/B tests.

## Sources & citations

- [1] Lazyweb Research analysis of 38 detected experiments (Adobe, ~800-app mobile corpus), July 2026. COUNT(DISTINCT experiment_id) on before/after diffs; surface splits from is_paywall + screen_category.
- [cat_null] Lazyweb Research analysis of 4,814 detected experiments (276 companies, ~800-app mobile corpus), July 2026. screen_category is NULL on 1,425 experiments, so all surface splits are lower bounds.

## Related questions

- [What Is Adobe Acrobat A/B Testing On Its Paywall?](https://www.lazyweb.com/research/acrobat-paywall-experiments)
- [What Is Canva A/B Testing On Its Pro Paywall?](https://www.lazyweb.com/research/canva-paywall-cta-experiments)
- [Which Apps Run The Most Experiments On Their Home Screen?](https://www.lazyweb.com/research/which-apps-experiment-most-on-home)