# Which app categories show up most in cancel-flow research?

Source: Lazyweb Research
Published: 2026-07-07
Sample size: n=48
Tags: cancellation, retention, saas, ux-patterns, mobile
HTML: https://www.lazyweb.com/research/which-app-categories-have-the-deepest-cancel-flows
Markdown: https://www.lazyweb.com/research/which-app-categories-have-the-deepest-cancel-flows.md

**Answer.** Among the 48 apps with genuine cancel-intent screens, Health & Fitness is the largest category cell with 7 apps, followed by Education (6) and Productivity (4) [1]. Every per-category cell is below N=8, so read these as illustrative counts, never as rates [2]. The honest takeaway: subscription-heavy categories dominate the sample, but the counts are too small to rank precisely.

> Health & Fitness (7 apps) is the largest cancel-flow category cell — still below N=8, July 2026.

## Category counts (illustrative)

| Category | Apps with cancel screens |
|---|---|
| Health & Fitness | 7 [1] |
| Education | 6 [1] |
| Productivity | 4 [1] |
| Books / Food & Drink / Photo & Video / Weather | 3 each [1] |

Health & Fitness leads, but at 7 apps it still sits below the N=8 reliability bar [1][2].

## Why these are counts, not rates

Every category cell here is **N<8**, including the largest [2]. Converting 7-of-48 or 6-of-48 into category percentages would over-state precision, so we report raw counts only [2]. The pattern that subscription-heavy categories (fitness, education, productivity) surface the most cancel screens is directional and unsurprising, not a ranked leaderboard.

## How to apply it

Use this to sanity-check that your **peer set exists** in the sample — if you build in Health & Fitness or Education, there are real captured cancel flows to compare against [1]. Do not use these counts to claim one category cancels 'more' than another; the sample is too thin for that [2]. For tactic-level benchmarks, fall back to the pooled 48-app rates (discount 63%, confirm 25%, keep/stay 21%) [3].

## The numbers

| Stat | Computed from |
| --- | --- |
| Cancel-flow apps by category: Health & Fitness 7, Education 6, Productivity 4, Books/Food & Drink/Photo & Video/Weather 3 each | cancel_flow_apps_by_category |
| All per-category cancel-flow cells are N<8 (max 7) | smallSampleWarnings / cancel_flow_apps_by_category |
| Pooled 48-app rates: discount 63%, confirm 25%, keep/stay 21% | save_offer_offer_language / confirmation_dialog / keep_stay_cta |

## Methodology

Universe: 48 apps with genuine cancel-intent screens, July 2026. Method: company-level counts by app category. Caveat: every category cell is N<8, so counts are illustrative and must not be quoted as rates.

## Sources & citations

- [1] Lazyweb Research analysis of 48 apps (genuine cancel-intent screens), July 2026. Company-level cancel-flow apps by app category; all cells N<8.
- [2] Lazyweb Research analysis of 48 apps (genuine cancel-intent screens), July 2026. Pooled tactic rates used when per-category cells are too small.

## Related questions

- [What percent of cancel flows show a save offer, and which type?](https://www.lazyweb.com/research/what-percent-of-cancel-flows-show-a-save-offer)
- [Which app categories lean most on 'cancel anytime' reassurance?](https://www.lazyweb.com/research/which-categories-use-cancel-anytime-most)