pql-definition
PQL Definition Framework
A PQL (Product-Qualified Lead) is a free trial or freemium user who has demonstrated enough product usage to indicate buying intent. Unlike MQLs (which are based on marketing engagement), PQLs are based on actual product behavior. A user who set up 3 integrations, invited 2 teammates, and ran their first campaign is signaling readiness to buy through actions, not form fills.
The principle: PQL scoring is built from product usage patterns that correlate with conversion. The best PQL criteria come from analyzing what converted customers did in their first 7-14 days of product use, then defining the threshold that separates tire-kickers from future buyers.
PQL vs MQL
| Dimension | MQL | PQL |
|---|---|---|
| Signal source | Marketing engagement (content, ads, forms) | Product usage (features, frequency, depth) |
| Intent signal | Indirect (researching, browsing, downloading) | Direct (using the product, experiencing value) |
| Typical conversion rate | 15-25% MQL → Opportunity | 25-40% PQL → Opportunity |
| Data source | Marketing automation, CRM, web analytics | Product analytics (Segment, Amplitude, Mixpanel, Heap) |
| Sales approach | Discovery: "What problem are you trying to solve?" | Value expansion: "I see you've set up X. Want to unlock Y?" |
| Applicable to | All B2B SaaS (inbound marketing model) | Only B2B SaaS with free trial or freemium |
PQLs convert at 1.5-2x the rate of MQLs because the prospect has already experienced the product. The sales conversation shifts from "why should I care" to "how do I get more of this."