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Which app categories are won by product-led growth versus paid acquisition?

  • By Ali Abouelatta
  • n = 599
  • Published
  • Updated
  • 3 min read
  • gtm · strategy · plg · paid-acquisition · category · saas · content-led

Short answer

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.source[1] Category, more than company stage, sets the default motion.

The quotable stat
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.

Bar chart · PLG share

PLG share — Product-led self-serve share by category

One block is about 3.4%

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.source[1] Paid performance marketing owns the transactional categories — Shopping 100%, Travel 100%, Finance 100% (Finance runs both) — where demand is bought, not grown.source[1] And content-led SEO is the whole game in publishing: News 100%, Magazines & Newspapers 100%.source[1]

Product-led self-serve share by category

Share of each category's companies growing product-led, highest to lowest.source[1]

CategoryPLG share
Health & Fitness95.5%
Education75.0%
Finance61.3%
Productivity57.1%
Utilities43.5%
Navigation36.4%
Sports25.0%
Music9.1%
Shopping6.1%
Travel6.1%
Food & Drink4.3%
Lifestyle3.8%
Social Networking3.3%
News0.0%

The mirror image — the same categories ranked by paid performance marketing.source[1]

CategoryPaid share
Shopping100.0%
Travel100.0%
Finance100.0%
Magazines & Newspapers88.0%
News86.7%
Navigation63.6%
Entertainment60.0%
Food & Drink56.5%
Social Networking56.7%
Music45.5%
Lifestyle46.2%
Sports40.0%
Utilities34.8%
Productivity9.5%
Health & Fitness0.0%

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).number[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).number[2] News and Magazines are content-led first (100%) with paid as amplification.number[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.source[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

#StatComputed from
[1]Health & Fitness (n=44): 95.5% PLG, 0.0% paid, 97.7% word-of-mouthcategoryMotionShares
[2]Shopping (n=33) & Travel (n=33): 100.0% paid, 6.1% PLGcategoryMotionShares
[3]PLG share: Education 75.0, Finance 61.3, Productivity 57.1, Utilities 43.5categoryMotionShares
[4]News & Magazines: 100% content-led; News 86.7% paid, 0% PLGcategoryMotionShares
[5]Health & Fitness top-3 engines: Word of mouth 43, PLG 42, PR 17; Shopping top-3: Paid 33, PR 25, Social 23categoryPlaybook

Methodology

Universe: Lazyweb companies table (62,376 rows); 599 companies carry a hand-tagged growth_engine. This page reports PLG and paid-performance share within each of the top ~16 app categories (>=8 tagged companies each), plus the named top-3 engines per category, July 2026. growth_engine is multi-select. Caveat: per-category n is ~12–45, so treat single-category figures as directional.

Sources

  1. [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.

    Back to text

Source: Lazyweb Research — proprietary analysis of real, in-market app screens. Cite as Lazyweb Research, 2026-07-09.