What Is AllTrails A/B Testing On Paywall And Signup?
- By Ali Abouelatta
- n = 39
- Published
- Updated
- 2 min read
- paywall · signup · monetization · experiments · mobile · trials
Short answer
Lazyweb Research detected 39 distinct experiments at AllTrails (July 2026), split across paywall (at least 10) and signup (at least 7), with 4 detected in 2026. source[1] AllTrails iterates both its Pro paywall and its account flow at comparable volume — a two-surface pattern for an outdoor-recreation subscription. These are observed before/after variations with inferred rationale, not company-confirmed A/B tests.
Lazyweb Research detected 39 AllTrails experiments (July 2026), balanced across paywall (10) and signup (7).
The finding
Lazyweb Research detected 39 distinct experiments at AllTrails, with at least 10 on the paywall and at least 7 on signup. source[1] The balance makes AllTrails a two-surface case study for an outdoor-recreation app converting free hikers into Pro subscribers — both the acquisition flow and the paywall are live test surfaces. Four experiments were detected in 2026.
How to apply it
AllTrails' balanced paywall/signup split is the benchmark for a freemium recreation app: acquisition and monetization are iterated together, not sequentially. If your app funnels free users toward a Pro tier, use AllTrails to justify testing signup and paywall in parallel rather than treating the paywall as the only conversion surface. source[1]
Caveats
All figures are observed variations with LLM-inferred rationale, not company-confirmed A/B tests — no lift is measured. source[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 |
|---|---|---|
| [1] | 39 distinct experiments; at least 10 paywall, at least 7 signup | company_total:alltrails (value 39; paywall 10, signup 7, in-2026 4) |
| 02 | 1,425 of 4,814 experiments have no screen categorycat_null | screen_category_null_on_experiments (1425/4814) |
Methodology
Universe: 39 distinct AllTrails 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
- [1]
Lazyweb Research analysis of 39 detected experiments (AllTrails, ~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.
Source: Lazyweb Research — proprietary analysis of real, in-market app screens. Cite as Lazyweb Research, 2026-07-07.