# Which app verticals have tracked checkout and payment flows?

Source: Lazyweb Research
Published: 2026-07-07
Sample size: n=77
Tags: checkout, monetization, mobile, web, saas
HTML: https://www.lazyweb.com/research/what-verticals-have-tracked-checkout-flows
Markdown: https://www.lazyweb.com/research/what-verticals-have-tracked-checkout-flows.md

**Answer.** Among the 77 tracked mobile checkout apps, Health & Fitness leads with 11 companies and Shopping follows with 8 [1]. Every other vertical has 7 or fewer, so this family reports absolute company counts, not percentages — no vertical is large enough for a valid rate [2]. Web checkout companies (152) are similarly spread, led by Shopping (9) [3].

> Health & Fitness (11) and Shopping (8) lead the 77 tracked mobile checkout apps; every other vertical has 7 or fewer — Lazyweb Research, July 2026.

## The finding: checkout flows are spread thin across verticals

The 77 mobile checkout apps break down by app-store category as absolute counts (no vertical reaches a percentage-worthy N) [1][2].

| Vertical (mobile) | Companies |
|---|---|
| Health & Fitness | 11 |
| Shopping | 8 |
| Education | 7 |
| Entertainment | 6 |
| Food & Drink | 6 |
| Finance | 5 |
| Travel | 4 |
| Photo & Video | 4 |
| Productivity | 4 |
| Lifestyle | 4 |

On the web side, the 152 checkout companies are led by Shopping (9), Productivity (7), and Food & Drink (6) — again all below N=10 [3].

## How to apply this

If you want peer checkout references in your vertical, expect a handful of apps, not a statistically representative sample. Health & Fitness (11 mobile companies) and Shopping (8 mobile, 9 web) are the only verticals with enough coverage to be worth browsing as a set [1][3]. For everything else, pick specific named anchors from the corpus rather than trying to generalize a 'category norm' from 4-6 companies [2].

## Caveats

No per-vertical percentage cut is valid here: the largest mobile vertical is 11 companies and the largest web vertical is 9, all well below the threshold for a stable rate [2]. Verticals with fewer than 8 companies (Education, Entertainment, Food & Drink, and below) should be read strictly as raw counts. The web taxonomy is partly null/mixed (5 companies uncategorized), so web vertical counts are approximate [3].

## The numbers

| Stat | Computed from |
| --- | --- |
| Mobile checkout verticals: Health & Fitness 11, Shopping 8, Education 7, Entertainment 6, Food & Drink 6, Finance 5 | app_checkout_companies_by_vertical |
| No vertical reaches N>=8 except Health & Fitness (11) and Shopping (8); percentages invalid | app_checkout_companies_by_vertical + smallSampleWarnings (no valid per-vertical %) |
| Web checkout verticals: Shopping 9, Productivity 7, Food & Drink 6, Finance 5, null 5 (of 152 companies) | web_checkout_companies_by_vertical; web_checkout_companies (152) |

## Methodology

Universe: 77 mobile checkout companies and 152 web checkout companies. Method: group companies by category and report absolute counts, July 2026. Caveat: no vertical is large enough for valid percentages; web taxonomy partly null.

## Sources & citations

- [1] Lazyweb Research analysis of 77 mobile checkout companies (mobile app corpus), July 2026. App-store category of the 77 checkout companies; Health & Fitness 11, Shopping 8 lead.
- [2] Lazyweb Research analysis of 77 mobile checkout companies (mobile app corpus), July 2026. Every vertical below the N>=70 percentage threshold; most below N<8, so absolute counts only.
- [3] Lazyweb Research analysis of 152 web checkout companies (web corpus), July 2026. Company category of the 152 web checkout companies; partly null/mixed taxonomy; Shopping 9 leads.

## Related questions

- [How large is the checkout-screen benchmark — mobile apps vs web?](https://www.lazyweb.com/research/checkout-screen-corpus-size-mobile-vs-web)
- [Which tracked apps have the richest checkout and payment flows?](https://www.lazyweb.com/research/which-apps-have-the-most-checkout-screens)