Which app categories are won by product-led growth versus paid acquisition?
It splits cleanly by category. Among 599 companies with a tagged growth engine, 95.5% of the 44 Health & Fitness apps grow product-led self-serve and 0% run paid — while 100% of Shopping (n=33) and Travel (n=33) apps run paid performance marketing and only ~6% are product-led.[1] Category, more than company stage, sets the default motion.
95.5% of Health & Fitness apps grow product-led with 0% paid, vs 100% paid / 6.1% PLG for Shopping apps — Lazyweb Research, 599 companies, July 2026.
| Item | PLG share |
|---|---|
| Health & Fitness | 95.5% |
| Education | 75.0% |
| Finance | 61.3% |
| Productivity | 57.1% |
| Utilities | 43.5% |
| Navigation | 36.4% |
| Sports | 25.0% |
| Music | 9.1% |
| Shopping | 6.1% |
| Travel | 6.1% |
| Food & Drink | 4.3% |
| Lifestyle | 3.8% |
The finding
Acquisition motion is close to category-destiny. Product-led self-serve dominates a cluster of habit/utility categories — Health & Fitness 95.5%, Education 75.0%, Finance 61.3%, Productivity 57.1% — where the product itself is the funnel.[1] Paid performance marketing owns the transactional categories — Shopping 100%, Travel 100%, Finance 100% (Finance runs both) — where demand is bought, not grown.[1] And content-led SEO is the whole game in publishing: News 100%, Magazines & Newspapers 100%.[1]
Product-led self-serve share by category
Share of each category's companies growing product-led, highest to lowest.[1]
| Category | PLG share |
|---|---|
| Health & Fitness | 95.5% |
| Education | 75.0% |
| Finance | 61.3% |
| Productivity | 57.1% |
| Utilities | 43.5% |
| Navigation | 36.4% |
| Sports | 25.0% |
| Music | 9.1% |
| Shopping | 6.1% |
| Travel | 6.1% |
| Food & Drink | 4.3% |
| Lifestyle | 3.8% |
| Social Networking | 3.3% |
| News | 0.0% |
Paid-acquisition share by category
The mirror image — the same categories ranked by paid performance marketing.[1]
| Category | Paid share |
|---|---|
| Shopping | 100.0% |
| Travel | 100.0% |
| Finance | 100.0% |
| Magazines & Newspapers | 88.0% |
| News | 86.7% |
| Navigation | 63.6% |
| Entertainment | 60.0% |
| Food & Drink | 56.5% |
| Social Networking | 56.7% |
| Music | 45.5% |
| Lifestyle | 46.2% |
| Sports | 40.0% |
| Utilities | 34.8% |
| Productivity | 9.5% |
| Health & Fitness | 0.0% |
How to apply it
Benchmark your motion against your category's default before you copy a playbook from another one. If you're building in Health, Education, Productivity or Finance-software, self-serve activation and word of mouth are the proven engines — Lazyweb's named top-3 for Health & Fitness is Word of mouth (43 of 44), PLG (42), then PR (17).[2] If you're in Shopping or Travel, paid performance is effectively table stakes (100% of peers) and a pure PLG bet is swimming upstream — Shopping's top-3 is Paid (33 of 33), PR (25), Social media (23).[2] News and Magazines are content-led first (100%) with paid as amplification.[2]
Caveats
Per-category n runs ~12–45 companies with a growth engine tagged, so a single category's percentage can move several points with a handful of retags.[1] These are Lazyweb's hand-labeled growth_engine tags on a curated ~600-company subset, and the field is multi-select (a Finance app can be both 100% paid and 61% PLG). Extreme values like 100% or 0% reflect the tagged sample, not a law of the category.
The numbers
| Stat | Computed from |
|---|---|
| Health & Fitness (n=44): 95.5% PLG, 0.0% paid, 97.7% word-of-mouth | categoryMotionShares |
| Shopping (n=33) & Travel (n=33): 100.0% paid, 6.1% PLG | categoryMotionShares |
| PLG share: Education 75.0, Finance 61.3, Productivity 57.1, Utilities 43.5 | categoryMotionShares |
| News & Magazines: 100% content-led; News 86.7% paid, 0% PLG | categoryMotionShares |
| Health & Fitness top-3 engines: Word of mouth 43, PLG 42, PR 17; Shopping top-3: Paid 33, PR 25, Social 23 | categoryPlaybook |
Sources & citations
- [1] Lazyweb Research analysis of 599 companies, July 2026. Lazyweb companies table (project zlfyzdmohcskkucuunmk); categoryMotionShares: for the top ~16 app categories with >=8 tagged companies, PLG / paid / content / word-of-mouth share among companies with a growth_engine. Named top-3 engines from the categoryPlaybook cut. Multi-select field; per-category n = companies of that category with a growth_engine. ↩
Source: Lazyweb Research — proprietary analysis of real, in-market app screens. Cite as Lazyweb Research, 2026-07-09.