Which monetization models are hooked on paid ads, and which grow on word of mouth?
- By Ali Abouelatta
- n = 686
- Published
- Updated
- 3 min read
- gtm · strategy · paid-acquisition · word-of-mouth · monetization · network-effects · saas
Short answer
Ad- and transaction-monetized models are almost entirely paid-acquisition-bound: 100% of Advertising (n=173), Marketplace/Transaction-Fee (n=63) and Sponsored-Listings (n=19) companies run paid performance marketing.source[1] Subscription is the only large model that escapes it — just 41.3% of its 351 companies run paid — and it's the most word-of-mouth-driven of the big models at 58.7%.source[1]
100% of advertising, marketplace-fee and sponsored-listing companies run paid performance marketing, vs 41.3% of subscription companies — Lazyweb Research, 686 companies, July 2026.
Bar chart · Paid share
Paid share — Paid-performance reliance by business model
One block is about 3.6%
- Advertising
- 100.0%
- Marketplace / Transaction Fees
- 100.0%
- Sponsored Listings / Merchant Ads
- 100.0%
- Commerce Margin
- 96.6%
- Affiliate / Lead Gen
- 94.4%
- Creator Monetization Take Rate
- 92.3%
- Financial Rails Revenue
- 75.7%
- IAP Consumables / Usage
- 69.0%
- Subscription
- 41.3%
- Cross-subsidized Funnel
- 36.7%
- One-Time Purchase
- 33.3%
- B2B Licensing
- 18.2%
The finding
If your revenue comes from ads or transactions, you almost certainly buy your users. 100% of Advertising (n=173), Marketplace/Transaction-Fee (n=63) and Sponsored-Listings (n=19) companies run paid performance marketing, alongside Commerce Margin at 96.6% and Creator Monetization at 92.3%.source[1] The logic is mechanical: these models monetize volume, so they buy volume. Subscription is the outlier — only 41.3% of its 351 companies run paid, and it leans hardest on organic word of mouth (58.7%) of any large model.source[1]
Paid-performance reliance by business model
Share of each model's companies running paid performance marketing.source[1]
| Business model | Paid share |
|---|---|
| Advertising | 100.0% |
| Marketplace / Transaction Fees | 100.0% |
| Sponsored Listings / Merchant Ads | 100.0% |
| Commerce Margin | 96.6% |
| Affiliate / Lead Gen | 94.4% |
| Creator Monetization Take Rate | 92.3% |
| Financial Rails Revenue | 75.7% |
| IAP Consumables / Usage | 69.0% |
| Subscription | 41.3% |
| Cross-subsidized Funnel | 36.7% |
| One-Time Purchase | 33.3% |
| B2B Licensing | 18.2% |
The organic engines — word of mouth and network effects
Not every model can grow organically. Word-of-mouth and network-effect share tell you which ones do.source[1]
| Business model | n | Word of mouth % | Network effects % |
|---|---|---|---|
| Creator Monetization Take Rate | 26 | 76.9 | 76.9 |
| One-Time Purchase | 18 | 66.7 | 33.3 |
| Subscription | 351 | 58.7 | 39.0 |
| Cross-subsidized Funnel | 120 | 56.7 | 44.2 |
| IAP Consumables / Usage | 29 | 51.7 | 48.3 |
| B2B Licensing | 44 | 47.7 | 50.0 |
| Advertising | 173 | 48.0 | 45.7 |
| Marketplace / Transaction Fees | 63 | 0.0 | 0.0 |
How to apply it
Pressure-test your CAC plan against your model's paid dependence. If you monetize ads, marketplace fees, commerce margin or a creator take-rate, assume paid performance is a permanent line item — ~92–100% of peers run it, and organic alone won't feed a volume model.source[1] If you're subscription, you have the rare option to under-index on paid (peers sit at 41.3%) and over-index on word of mouth (58.7%) — earn referrals through the product instead of renting reach.source[1] Note the pure-transaction marketplace pattern: 100% paid and 0% word-of-mouth or network-effect tags — liquidity there is bought, not evangelized, so plan accordingly.
Caveats
These are Lazyweb's hand-tagged business_model and growth_engine fields on ~600–700 curated companies, not all 62,376.source[1] Fields are multi-select, so paid, word-of-mouth and network shares are independent. The 0% word-of-mouth for Marketplace/Transaction-Fees is a property of this tagged sample, not a proof that no marketplace ever spreads organically. Smaller models (Sponsored Listings n=19, One-Time Purchase n=18, Creator Monetization n=26) rest on a few dozen companies — directional.
The numbers
| # | Stat | Computed from |
|---|---|---|
| [1] | Paid = 100% for Advertising (173), Marketplace fees (63), Sponsored Listings (19); Commerce Margin 96.6%, Creator Monetization 92.3% | businessModelXGrowthEngine |
| [2] | Subscription (n=351): 41.3% paid, 58.7% word of mouth, 39.0% network effects | businessModelXGrowthEngine |
| [3] | Creator Monetization (n=26): 76.9% word of mouth, 76.9% network effects | businessModelXGrowthEngine |
| [4] | Marketplace / Transaction Fees (n=63): 100% paid, 0% word of mouth, 0% network effects | businessModelXGrowthEngine |
Methodology
Universe: Lazyweb companies table (62,376 rows); 686 companies carry a hand-tagged business_model and 599 a growth_engine. This page cross-tabs paid-performance and organic (word-of-mouth, network-effect) reliance against each monetization model, July 2026. Multi-select fields, so shares are independent. Caveat: smaller models rest on a few dozen companies each.
Sources
- [1]
Lazyweb Research analysis of 686 companies, July 2026
Lazyweb companies table (project zlfyzdmohcskkucuunmk); businessModelXGrowthEngine cross-tab: paid / word-of-mouth / network-effect share for each business_model with >=10 tagged companies, among companies that also carry a growth_engine. Both fields multi-select.
Source: Lazyweb Research — proprietary analysis of real, in-market app screens. Cite as Lazyweb Research, 2026-07-09.