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Which types of apps are product-led vs sales-led — how does the motion change by product archetype?

  • By Ali Abouelatta
  • n = 757
  • Published
  • Updated
  • 2 min read
  • gtm · strategy · plg · sales-led · self-serve · archetype · prosumer · enterprise

Short answer

The self-serve-vs-sales split flips hard by archetype. Prosumer apps are the most product-led at 38% PLG, while Enterprise apps are the most sales-led at 48% — with Collaborative close behind at 39% sales-ledsource[1]. For everything consumer-facing (Consumer, Social, Marketplace), PLG runs 13-29% and sales-led stays under 10%source[1]. Your archetype, not your ambition, largely determines whether a self-serve or sales motion fitssource[1].

The quotable stat
Prosumer apps lead on self-serve PLG (38%) while Enterprise leads on sales-led (48%) — Lazyweb Research, July 2026.

Bar chart · PLG %

PLG % — PLG and sales-led shares by archetype

One block is about 1.4%

Prosumer
38%
Consumer
29%
Social
23%
Enterprise
20%
Collaborative
17%
2-sided Marketplace
13%

PLG and sales-led shares by archetype

For each product_archetype, the share of its growth-engine-tagged companies running each motionsource[1]:

ArchetypeCompaniesPLG %Sales-led %PLS %
Prosumer11038%7%6%
Consumer42729%5%3%
Social23723%9%5%
Enterprise6020%48%27%
Collaborative4617%39%28%
2-sided Marketplace14013%6%2%

Prosumer tops the self-serve chart; Enterprise and Collaborative are the only two archetypes where sales-led clears 39%source[1].

How to apply it

Map your product to an archetype first, then let the modal motion set your defaultsource[1]. Prosumer and Consumer apps should assume self-serve and treat a sales team as a later, optional layer — sales-led is a 5-7% behavior theresource[1]. Enterprise and Collaborative apps should assume a sales or product-led-sales motion; self-serve alone is the 17-20% minority in those segmentssource[1]. Marketplaces are the odd one out: low on both PLG (13%) and sales (6%) because they lean on paid and liquidity insteadsource[1].

Caveats

Each archetype row's denominator is its own count of companies with a growth_engine tag (Consumer 427 down to Collaborative 46), inside Lazyweb's ~600-900-company tagged subset — not the 62,376-company tablesource[1]. product_archetype and growth_engine are both multi-select arrays, so a single company can appear under more than one archetype and hold multiple motions; row shares don't sum to 100%source[1].

The numbers

#StatComputed from
0138% (n=110)arch_prosumer_plgselfServeVsSalesByArchetype Prosumer plg_pct 38.2
0229% (n=427)arch_consumer_plgselfServeVsSalesByArchetype Consumer plg_pct 29.0
0323% (n=237)arch_social_plgselfServeVsSalesByArchetype Social plg_pct 23.2
0420% (n=60)arch_ent_plgselfServeVsSalesByArchetype Enterprise plg_pct 20.0
0517% (n=46)arch_collab_plgselfServeVsSalesByArchetype Collaborative plg_pct 17.4
0613% (n=140)arch_mkt_plgselfServeVsSalesByArchetype 2-sided Marketplace plg_pct 12.9
0748% (n=60)arch_ent_salesselfServeVsSalesByArchetype Enterprise sales_pct 48.3
0839% (n=46)arch_collab_salesselfServeVsSalesByArchetype Collaborative sales_pct 39.1
0927% (n=60)arch_ent_plsselfServeVsSalesByArchetype Enterprise pls_pct 26.7
1028% (n=46)arch_collab_plsselfServeVsSalesByArchetype Collaborative pls_pct 28.3

Methodology

Universe is Lazyweb's companies table (62,376 rows); 757 carry a product_archetype tag and per-archetype motion shares are computed over the subset of each archetype that also carries a growth_engine. Both fields are hand-tagged multi-select enum arrays, so archetypes overlap and shares don't sum to 100%. July 2026 snapshot.

Sources

  1. [1]

    Lazyweb Research analysis of 757 companies, July 2026

    PLG, Sales-led and PLS shares within each product_archetype; each row's N is the companies of that archetype carrying a growth_engine tag (Consumer 427, Social 237, Marketplace 140, Prosumer 110, Enterprise 60, Collaborative 46).

    Back to text

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