# How do Health & Fitness apps make money?

Source: Lazyweb Research
Published: 2026-07-07
Sample size: n=54
Tags: monetization, pricing, saas, retention
HTML: https://www.lazyweb.com/research/how-do-health-and-fitness-apps-make-money
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**Answer.** Almost entirely subscription: 53 of 54 Health & Fitness apps (98%) carry a subscription model — the most subscription-dominated category in the corpus [1]. The only meaningful secondary is cross-subsidized funnel/companion apps (5/54); advertising barely registers [1]. On growth, the category leans word of mouth (43/44) and product-led self-serve (42/44) [2]. If you are launching a fitness app, subscription-first with a PLG + word-of-mouth loop is the near-universal template.

> 53 of 54 Health & Fitness apps (98%) run on subscription — July 2026.

## Business model and growth mix

Business models in Health & Fitness (n=54 tagged) [1]:

| Model | Apps |
|---|---|
| Subscription | 53 |
| Cross-subsidized Funnel / Companion App | 5 |
| B2B Licensing | 1 |

Growth engines (n=44 growth-tagged) [2]:

| Engine | Apps |
|---|---|
| Word of mouth | 43 |
| Product-led self-serve (PLG) | 42 |
| PR | 17 |
| Social media | 14 |
| Network effects (social graph) | 12 |

## How to apply it

Subscription is not just common here — it is the category standard, so a non-subscription fitness app is a genuine outlier. Pair it with a self-serve onboarding and a word-of-mouth loop, which are the two dominant engines (each covering ~95% of growth-tagged apps in the category) [2]. Companion-app / cross-subsidized funnels (e.g. hardware-adjacent apps) are the main alternative flavor, present in 5 apps [1].

## Caveats

Business-model denominator is 54 tagged apps; growth denominator is 44 [1][2]. Both tags are multi-valued, so growth counts sum past 44. Advertising and IAP do not clear the reporting threshold in this category, meaning they are rare, not necessarily zero.

## The numbers

| Stat | Computed from |
| --- | --- |
| 53 of 54 (98%) | bm_by_category: Health & Fitness Subscription 53, n=54 |
| 5 of 54 | bm_by_category: Health & Fitness Cross-subsidized Funnel 5, n=54 |
| 1 of 54 | bm_by_category: Health & Fitness B2B Licensing 1, n=54 |
| 43 of 44 | ge_by_category: Health & Fitness Word of mouth 43, n=44 |
| 42 of 44 | ge_by_category: Health & Fitness Product-led self-serve 42, n=44 |
| 17 of 44 | ge_by_category: Health & Fitness PR 17, n=44 |
| 14 of 44 | ge_by_category: Health & Fitness Social media 14, n=44 |
| 12 of 44 | ge_by_category: Health & Fitness Network effects 12, n=44 |

## Methodology

Universe: Health & Fitness apps in Lazyweb's ~800-app tracked corpus — 54 with a business_model tag, 44 with a growth_engine tag, July 2026 pull. Method: multi-valued tag prevalence within the category. Caveat: both tags are multi-valued so counts sum past the category size.

## Sources & citations

- [1] Lazyweb Research analysis of 54 Health & Fitness apps (~800-app tracked corpus), July 2026. business-model mix within the Health & Fitness App Store category.
- [2] Lazyweb Research analysis of 44 Health & Fitness apps (~800-app tracked corpus), July 2026. growth-engine mix; category ≥20 tagged companies, engines shown where ≥5 apps use them.

## Related questions

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- [What growth engines do tracked apps rely on most?](https://www.lazyweb.com/research/what-growth-engines-do-tracked-apps-rely-on)
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