What Is Clime A/B Testing On Its Weather Paywall?

Lazyweb Research detected 22 distinct experiments at Clime (July 2026), of which at least 5 touch the paywall. ^[1] Clime is a mid-volume weather app whose detected iteration is spread across surfaces, with a modest paywall footprint relative to category leader AccuWeather (17). These are observed before/after variations with inferred rationale, not company-confirmed A/B tests.

Lazyweb Research detected 22 Clime experiments (July 2026), at least 5 on the paywall.

Lazyweb Research · n=22 · Published 2026-07-07

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The finding

Lazyweb Research detected 22 distinct experiments at Clime, with at least 5 on the paywall. ^[1] Clime sits in the middle of the weather-app pack — more total experiments than NOAA (10) or Windy (11), but a smaller paywall share than AccuWeather (17 paywall). Most of its detected iteration is on non-paywall surfaces.

How to apply it

Clime is a benchmark for a mid-tier weather app that experiments broadly but keeps a lighter paywall-testing cadence than the category leader. If your utility app is early in monetization, Clime's 5-paywall profile is a realistic starting point; AccuWeather's 17 shows the ceiling. One experiment was 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
22 distinct experiments; at least 5 paywall	company_total:clime (value 22; paywall 5, in-2026 1)
1,425 of 4,814 experiments have no screen category	screen_category_null_on_experiments (1425/4814)

Methodology. Universe: 22 distinct Clime 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 22 detected experiments (Clime, ~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.