Product Qualified Lead (PQL) Scoring Framework Calculator

Score Product Qualified Leads (PQLs) using the 2027 PLG framework: Activation (40 pts) + Usage (30 pts) + Intent (20 pts) + Account Fit (10 pts) = 100. Decide who gets sales touch, automated nurture, or product-only flow. Free, private.

Activation Score (0-40 pts)

Completed onboarding (0-10)

Invited team members (0-10)

Integrated 3rd-party tool (0-10)

Hit aha moment (0-10)

Usage Score (0-30 pts)

Feature depth (0-10)

Week 2 retention (0-10)

Intent Score (0-20 pts)

Visited pricing page (0-10)

Upgrade prompt engagement (0-10)

Account Fit (0-10 pts)

ICP match (size, industry, stack) (0-10)

Total PQL Score

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Engagement tier

Activation

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of 40

Usage

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of 30

Intent

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of 20

Account Fit

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of 10

PQL Tier	Score Range	Action	Expected Conversion

Recommended Action: Run calculator for action.

What is a Product Qualified Lead (PQL)?

A PQL is a free-trial or freemium user who has demonstrated meaningful product engagement that predicts willingness to pay. Coined by OpenView Partners in 2018 and now standard in product-led growth (PLG) playbooks. Unlike MQLs (who consumed content) or SQLs (who spoke with sales), PQLs have used the actual product and reached engagement thresholds. PQLs convert to paid 5-10x higher than MQLs because they have already experienced product value.

This calculator uses the 4-component framework (Activation + Usage + Intent + Account Fit = 100 points). Standard PQL threshold is 70+. Some PLG companies use 80+ as a stricter cut for "hot" PQLs that get immediate sales outreach, vs 60-80 "warm" PQLs that get automated nurture.

The 4 PQL scoring components

(1) Activation Score (0-40): Did the user complete the actions that predict retention? Typical: completed onboarding, invited team, integrated a third-party tool, hit the aha moment. (2) Usage Score (0-30): Are they actually using the product? Login frequency, feature depth, week 2 retention. (3) Intent Score (0-20): Have they shown buying signals? Visited pricing, engaged upgrade prompts, requested demo. (4) Account Fit Score (0-10): Does the account match your ICP? Size, industry, tech stack. The weighting (40/30/20/10) reflects predictive power: activation is the strongest predictor, account fit the weakest if the user is already engaged.

How to set PQL thresholds for sales handoff

Standard tier mapping: PQL 80+ (Hot) → sales reach out within 24 hours, often via warm intro email + LinkedIn touch. Expected conversion to paid: 35-50%. PQL 60-80 (Warm) → automated nurture sequence + sales watching for triggers (return visit, second team member). Expected conversion: 15-25%. PQL 40-60 (Cool) → product-led nurture (in-app prompts, milestone emails), no sales touch yet. Expected conversion: 5-10%. PQL under 40 → keep in product-led marketing flow. Expected conversion: 1-3%.

Time-to-PQL matters as much as PQL score

A user who reaches PQL 70 in 2 days is much hotter than one who took 60 days. Time-to-PQL is a key velocity metric. Best-in-class PLG companies (Notion, Linear, Figma) see top users reach PQL within 7-14 days. The longer it takes, the more friction in your activation flow. Track median time-to-PQL by cohort to identify regression. AI-augmented PLG products are now showing time-to-PQL of 2-5 days because the aha moment is more visceral and immediate. Build your PQL definition around your retention curve inflection point.

Sources: OpenView PLG Index 2026 (openview.com), Bessemer State of the Cloud 2026 (bessemer.com), Salesforce State of Sales 2026 (salesforce.com), Gartner Product-Led Growth Survey 2026 (gartner.com). Last updated: May 2026.