# How Do Weather Apps Compare On Paywall Experimentation?

Source: Lazyweb Research
Published: 2026-07-07
Sample size: n=113
Tags: paywall, monetization, experiments, mobile, upsell, saas
HTML: https://www.lazyweb.com/research/weather-apps-paywall-experiments
Markdown: https://www.lazyweb.com/research/weather-apps-paywall-experiments.md

**Answer.** Among weather apps in the corpus, AccuWeather runs by far the deepest paywall program — at least 17 detected paywall experiments, versus NOAA (10, all paywall), WeatherRadar (7), Clime (5), and Windy (3) (July 2026). [1][2][3][4][5] Monetizing a free weather utility is a live, sustained testing effort for the category leaders. These are observed before/after variations with inferred rationale, not company-confirmed A/B tests.

> AccuWeather runs at least 17 detected paywall experiments (July 2026), more than triple any other weather app tracked.

## The finding

Weather apps monetize a free utility, and the corpus shows a wide spread in how hard they test the paywall. **AccuWeather leads at least 17 paywall experiments**; **NOAA runs 10 (all paywall)**; WeatherRadar 7; Clime 5; Windy 3. [1][2][3][4][5]

| App | Paywall experiments (lower bound) | Total experiments |
|---|---|---|
| AccuWeather | 17 | 47 [1] |
| NOAA | 10 | 10 [2] |
| WeatherRadar | 7 | 23 [3] |
| Clime | 5 | 22 [4] |
| Windy | 3 | 11 [5] |

## What it means

NOAA is a pure-paywall experimenter (all 10 on the paywall), while AccuWeather spreads its 47 experiments across surfaces but still leads on absolute paywall volume. The category consensus is clear: a free weather app that adds a premium tier will run a sustained paywall-testing program, and the leaders test it heavily.

## How to apply it

If you monetize a weather or utility app, AccuWeather's 17 and NOAA's 10 set the benchmark for paywall-testing depth in the category. A single premium-launch paywall with no follow-up iteration is below the category norm. Start by matching NOAA's focus (paywall-only) or AccuWeather's breadth, depending on your surface area. Detected variations, not proven winners. [1][2]

## Caveats

All paywall splits are lower bounds because screen category is NULL on 1,425 of 4,814 experiments. [6] All are observed variations with LLM-inferred rationale, not company-confirmed A/B tests — no lift is measured. [1]

## The numbers

| Stat | Computed from |
| --- | --- |
| AccuWeather 47 total, at least 17 paywall | company_total:accuweather (value 47; paywall 17) |
| NOAA 10 total, all 10 paywall | company_total:noaa (value 10; paywall 10) |
| WeatherRadar 23 total, at least 7 paywall | company_total:weatherradar (value 23; paywall 7) |
| Clime 22 total, at least 5 paywall | company_total:clime (value 22; paywall 5) |
| Windy 11 total, at least 3 paywall | company_total:windy (value 11; paywall 3) |
| 1,425 of 4,814 experiments have no screen category | screen_category_null_on_experiments (1425/4814) |

## Methodology

Universe: weather-app experiments (AccuWeather 47, NOAA 10, WeatherRadar 23, Clime 22, Windy 11) within 4,814 detected diffs, July 2026. Method: COUNT(DISTINCT experiment_id) with is_paywall split. Caveat: paywall splits are lower bounds; detected variations only, never confirmed A/B tests.

## Sources & citations

- [1] Lazyweb Research analysis of 47 detected experiments (AccuWeather, ~800-app mobile corpus), July 2026. COUNT(DISTINCT experiment_id); paywall split from is_paywall.
- [2] Lazyweb Research analysis of 10 detected experiments (NOAA, ~800-app mobile corpus), July 2026. COUNT(DISTINCT experiment_id); all 10 paywall.
- [3] Lazyweb Research analysis of 23 detected experiments (WeatherRadar, ~800-app mobile corpus), July 2026. COUNT(DISTINCT experiment_id); paywall split from is_paywall.
- [4] Lazyweb Research analysis of 22 detected experiments (Clime, ~800-app mobile corpus), July 2026. COUNT(DISTINCT experiment_id); paywall split from is_paywall.
- [5] Lazyweb Research analysis of 11 detected experiments (Windy, ~800-app mobile corpus), July 2026. COUNT(DISTINCT experiment_id); paywall split from is_paywall.
- [6] 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 AccuWeather A/B Testing On Its Paywall?](https://www.lazyweb.com/research/accuweather-paywall-experiments)
- [What Is Clime A/B Testing On Its Weather Paywall?](https://www.lazyweb.com/research/clime-weather-paywall-experiments)
- [Which Apps Run The Most Paywall CTA Experiments?](https://www.lazyweb.com/research/which-apps-run-the-most-paywall-cta-experiments)