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Which revenue models go with self-serve vs sales-led — does subscription mean PLG and licensing mean sales?

  • By Ali Abouelatta
  • n = 686
  • Published
  • Updated
  • 2 min read
  • gtm · strategy · plg · sales-led · business-model · subscription · monetization · saas

Short answer

Revenue model is a strong tell for acquisition motion. B2B licensing is 100% sales-led with 52% also running product-led sales, and it never uses PLGsource[1]. Subscription and financial-rails apps are the self-serve strongholds — 42% and 57% PLG respectively, with sales-led at 8% or belowsource[1]. Advertising and marketplace models lean neither way on product/sales; they run on paid performance (100%) and content insteadsource[1].

The quotable stat
B2B-licensing apps are 100% sales-led and 0% PLG, while financial-rails apps are 57% PLG and 0% sales-led — Lazyweb Research, July 2026.

Bar chart · PLG %

PLG % — Motion mix by business model

One block is about 2%

Financial Rails Revenue
57%
Subscription
42%
One-Time Purchase
39%
IAP Consumables / Usage
31%
Advertising
20%
Cross-subsidized Funnel / Companion
6%
Marketplace / Transaction Fees
0%
B2B Licensing
0%

Motion mix by business model

For each business_model with enough tagged companies, the share running each motionsource[1]:

Business modelCompaniesPLG %Sales-led %PLS %
Financial Rails Revenue3757%0%0%
Subscription35142%8%8%
One-Time Purchase1839%11%11%
IAP Consumables / Usage2931%0%0%
Advertising17320%1%1%
Cross-subsidized Funnel / Companion1206%13%3%
Marketplace / Transaction Fees630%11%3%
B2B Licensing440%100%52%

The pattern is clean at the extremes: B2B licensing is entirely sales-led with no PLG, and financial-rails/subscription/usage models are self-serve with almost no salessource[1].

How to apply it

Pick your motion to match how you monetize, not the reversesource[1]. If you sell subscriptions or usage/financial-rails, self-serve PLG is the dominant peer behavior (42-57%) and a heavy sales build is off-patternsource[1]. If your revenue is B2B licensing, every tagged peer runs sales-led and half add product-led sales — self-serve alone is unheard of in that modelsource[1]. Advertising and marketplace models are a third path entirely: they barely use PLG or sales, so plan around paid acquisition and content instead (see the growth-engine leaderboard)source[1].

Caveats

Each row's denominator is the companies of that business_model carrying a growth_engine tag (Subscription 351 down to One-Time Purchase 18), inside Lazyweb's tagged subset — not the 62,376-company tablesource[1]. Both business_model and growth_engine are multi-select arrays, so a company can carry several models and motions; shares are per-motion and don't sum to 100%. Rows below ~18 tagged companies are omitted as too thin to benchmark.

The numbers

#StatComputed from
0157% (n=37)bm_rails_plgbusinessModelXGrowthEngine Financial Rails plg_pct 56.8
0242% (n=351)bm_sub_plgbusinessModelXGrowthEngine Subscription plg_pct 41.6
038% (n=351)bm_sub_salesbusinessModelXGrowthEngine Subscription sales_pct 8.0
04100% (n=44)bm_lic_salesbusinessModelXGrowthEngine B2B Licensing sales_pct 100.0
0552% (n=44)bm_lic_plsbusinessModelXGrowthEngine B2B Licensing pls_pct 52.3
060% (n=44)bm_lic_plgbusinessModelXGrowthEngine B2B Licensing plg_pct 0.0
0720% (n=173)bm_ad_plgbusinessModelXGrowthEngine Advertising plg_pct 19.7
080% (n=63)bm_mkt_plgbusinessModelXGrowthEngine Marketplace/Transaction plg_pct 0.0

Methodology

Universe is Lazyweb's companies table (62,376 rows); 686 carry a business_model tag and per-model motion shares are computed over each model's subset that also carries a growth_engine. Both fields are hand-tagged multi-select arrays, so models overlap and shares don't sum to 100%. July 2026 snapshot.

Sources

  1. [1]

    Lazyweb Research analysis of 686 companies, July 2026

    For each business_model with >=18 tagged companies, the share of that model's growth-engine-tagged companies citing each motion; business_model and growth_engine are multi-select enum arrays.

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

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