Which Apps Run The Most Experiments On Their Home Screen?
- By Ali Abouelatta
- n = 4,814
- Published
- Updated
- 2 min read
- landing-page · experiments · mobile · ux-patterns · design
Short answer
Across 4,814 detected experiments (July 2026), the home surface is the single most-experimented labeled screen category, with 562 distinct experiments — more than cancel-subscription (371) or any paywall category. source[1] DoorDash (at least 45 home), Crumbl (at least 39), and Apple Fitness (at least 32) lead the per-company home ranking. source[2]source[3]source[4] These are observed before/after variations with inferred rationale, not company-confirmed A/B tests.
Home is the most-experimented screen category in the corpus at 562 distinct experiments (July 2026), led by DoorDash's 45+.
Bar chart · Home experiments (lower bound)
Home experiments (lower bound) — The finding
One block is about 1.6 Home experiments (lower bound)
- DoorDash
- 45 [2]
- Crumbl
- 39 [3]
- Apple Fitness
- 32 [4]
- Babbel
- 23 [5]
- Etsy
- 20 [6]
The finding
The home surface leads all labeled screen categories with 562 distinct experiments, ahead of cancel-subscription (371), account-login (167), and sign-up (127). source[1] Per company, the most home-concentrated experimenters are DoorDash (at least 45), Crumbl (at least 39), and Apple Fitness (at least 32). source[2]source[3]source[4]
Why home dominates
The home screen is where merchandising, discovery, and personalization compete for attention, and it is served to every user on every session — so it is both the highest-traffic and highest-surface-area screen. Food and content apps (DoorDash, Crumbl, Apple Fitness) concentrate there because the rotating catalog is their product. Paywall-only apps like Tinder show zero home experiments by contrast.
How to apply it
If your app has a content-rich or catalog-driven home screen and you are not testing it, this data says you are ignoring the corpus's most-tested surface. Start with the merchandising order and personalization row logic — the levers DoorDash and Crumbl iterate. Reserve the paywall for a separate track. All figures are detected variations, not proven winners. source[1]
Caveats
The 562 count and per-company home splits are lower bounds because screen category is NULL on 1,425 of 4,814 experiments. source[7] All are observed variations with LLM-inferred rationale, not company-confirmed A/B tests — no lift is measured. source[1]
The numbers
| # | Stat | Computed from |
|---|---|---|
| [1] | Home 562; cancel-subscription 371; account-login 167; sign-up 127 | top_experiment_screen_categories (home=562; cancel_subscription=371; account_login=167; sign_up=127) |
| [2] | DoorDash at least 45 home | company_total:doordash (home 45) |
| [3] | Crumbl at least 39 home | company_total:crumbl (home 39) |
| [4] | Apple Fitness at least 32 home | company_total:apple-fitness (home 32) |
| [5] | Babbel at least 23 home | company_total:babbel (home 23) |
| [6] | Etsy at least 20 home | company_total:etsy (home 20) |
| [7] | 1,425 of 4,814 experiments have no screen category | screen_category_null_on_experiments (1425/4814) |
Methodology
Universe: 4,814 detected experiments across 276 companies, July 2026; screen categories from screen_category join. Method: COUNT(DISTINCT experiment_id) by category and by company. Caveat: home splits are lower bounds (1,425 experiments unlabeled); detected variations only, never confirmed A/B tests.
Sources
- [1]
Lazyweb Research analysis of 4,814 detected experiments (276 companies, ~800-app mobile corpus), July 2026
Top labeled screen categories by COUNT(DISTINCT experiment_id); home=562.
- [2]
Lazyweb Research analysis of 221 detected experiments (DoorDash, ~800-app mobile corpus), July 2026
home split from screen_category='home'.
- [3]
Lazyweb Research analysis of 43 detected experiments (Crumbl, ~800-app mobile corpus), July 2026
home split from screen_category='home'.
- [4]
Lazyweb Research analysis of 38 detected experiments (Apple Fitness, ~800-app mobile corpus), July 2026
home split from screen_category='home'.
- [5]
Lazyweb Research analysis of 66 detected experiments (Babbel, ~800-app mobile corpus), July 2026
home split from screen_category='home'.
- [6]
Lazyweb Research analysis of 32 detected experiments (Etsy, ~800-app mobile corpus), July 2026
home split from screen_category='home'.
- [7]
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.
Source: Lazyweb Research — proprietary analysis of real, in-market app screens. Cite as Lazyweb Research, 2026-07-07.