Product Qualified Leads (PQLs): When Usage Signals It’s Time to Sell
Product Qualified Leads (PQLs) are users who demonstrate buying intent through product usage, not just marketing engagement. They convert 5-6x better than MQLs.1 Yet only 24% of B2B SaaS companies use PQL scoring.2 This chapter shows you how to identify PQLs, build a scoring model, and layer sales onto your PLG motion.
What is a product qualified lead?
A product qualified lead (PQL) is a user who has experienced meaningful value through your product and exhibited signals that predict conversion. Unlike MQLs (who downloaded a whitepaper), PQLs have used your product. They’ve hit usage thresholds, adopted key features, or taken actions that correlate with purchase.
PQL vs MQL Comparison
| Dimension | PQL | MQL |
|---|---|---|
| Signal source | Product usage | Marketing engagement |
| Intent indicator | Experienced value | Expressed interest |
| Conversion rate | 15-30%1 | 2-5% |
| Sales efficiency | High (warm, educated) | Low (cold, need convincing) |
| Examples | Used feature 10x, invited team | Downloaded ebook, attended webinar12 |
The difference matters. MQLs raised their hand. PQLs proved intent with behavior. When sales calls PQLs, they convert at 25-30%.2
What are examples of PQL criteria?
Every product-led growth company defines PQLs differently based on what predicts conversion for their product.
PQL Definitions by Company
| Company | PQL Criteria | Why It Works |
|---|---|---|
| Slack | Team sends 2,000 messages | Proves team adoption and habit |
| Dropbox | Uploads files from 2+ devices | Shows integration into workflow |
| Notion | Creates 3+ pages, invites 2+ collaborators | Demonstrates collaboration value |
| Calendly | Schedules 5+ meetings, invites team, connects calendar | Full product adoption within 14 days |
| Zoom | Hosts 3+ meetings with 3+ participants | Network value established34 |
Three Signal Categories
| Category | Signals | Examples |
|---|---|---|
| Usage signals | Feature adoption, frequency, volume | ”Used core feature 10+ times” |
| Intent signals | Pricing page views, upgrade clicks, limit hits | ”Viewed pricing 3x in one week” |
| Fit signals | Company size, role, industry | ”50+ employees, decision-maker title” |
The strongest PQL models combine all three. A user who hits usage thresholds AND views pricing AND matches your ICP is a higher-priority lead than one who only hits usage.
How do you build a PQL scoring model?
Start simple. You can add complexity later.
Three PQL Scoring Approaches
| Model | How It Works | Best For |
|---|---|---|
| Threshold | Binary: Did they complete X actions? | Early-stage, simple products |
| Weighted | Points assigned per action, sum to score | Growth-stage, multiple signals |
| Predictive | ML model trained on conversion data | Scale, complex products |
The Threshold Model (Start Here)
Define 2-3 actions that predict conversion:
PQL = User who has:
- Used core feature 5+ times, AND
- Invited 1+ teammate, AND
- Logged in 3+ of last 7 days
This model is simple, explainable, and works for most early product-led growth companies.
The Weighted Scoring Model
Assign points to actions based on conversion correlation:
Example Scoring System
| Action | Points | Rationale |
|---|---|---|
| Signed up | 10 | Baseline |
| Completed onboarding | 20 | Shows commitment |
| Used core feature | 15 | Value experienced |
| Invited teammate | 30 | Expansion signal |
| Viewed pricing page | 25 | Purchase intent |
| Hit usage limit | 35 | Upgrade trigger |
| PQL threshold | 70 | Ready for sales |
How Notion Does It: Notion synthesizes all interactions into a 1-100 score, combining product usage, website visits, and program participation. Sales prioritizes by score daily.4
Finding Your Signals
- 1Pull converted users Who paid in the last 90 days?
- 2Map their pre-conversion behavior What did they do in the 7-14 days before paying?
- 3Find common patterns Which actions appear in 70%+ of conversions?
- 4Test correlation Do users who take Action X convert at 2x+ the rate of those who don't?
The actions that appear consistently in converted users, but rarely in churned users, are your PQL signals.
What is product-led sales?
Product-led sales (PLS) is a hybrid go-to-market model where the product generates and qualifies leads, and sales accelerates conversion and expansion. It’s not PLG vs sales. It’s PLG + sales.
The PLS Spectrum
| Model | How It Works | Revenue Split |
|---|---|---|
| Pure PLG | 100% self-serve, no sales | 100% product |
| PLG + Sales Assist | Self-serve primary, sales for expansion | 70/30 |
| Product-Led Sales | Product acquires, sales converts enterprise | 50/50 |
| Sales + Product | Sales primary, product for POC/trials | 30/705 |
McKinsey research shows that companies implementing PLS most effectively see significant boosts in both revenue growth and valuation ratios.5 65% of SaaS buyers prefer both self-serve and sales experiences.5
PLS Team Responsibilities
| Role | Focus | Uses Product Data For |
|---|---|---|
| Sales Rep | Convert PQLs, expand accounts | Prioritization, personalization |
| Customer Success | Drive adoption, prevent churn | Health scoring, intervention triggers |
| Growth PM | Optimize PQL signals, conversion flow | Model refinement, funnel analysis |
When Should You Add Sales to Product-Led Growth?
Not every product-led growth company needs sales. But most add it eventually.
Signals It’s Time to Add Sales
| Signal | What It Means |
|---|---|
| Deals stuck at a size ceiling | Self-serve maxes out; enterprise needs human touch |
| Enterprise requests increasing | Security reviews, procurement processes, custom terms |
| Competitors with sales are winning | Buyers want the option |
| Expansion opportunities missed | Upsell requires relationship |
| $10-50M ARR reached | Scale justifies sales investment |
The Timing Data: 61% of product-led growth companies add enterprise sales by $50M ARR.6 The question isn’t if you’ll add sales. It’s when.
How to Layer Sales Without Breaking PLG
| Do | Don’t |
|---|---|
| Sales works PQLs only (not all signups) | Sales calls every free user |
| Sales uses product data in outreach | Generic “checking in” emails |
| Clear handoff criteria (score-based) | Ambiguous lead routing |
| Sales accelerates, doesn’t replace self-serve | Gating features to force sales calls |
| Shared dashboards (product + sales) | Siloed data and metrics |
Which Users Actually Need Sales Help
A user crushing your product doesn’t need a sales call. They’ll self-serve. The highest-value PQLs are users who hit a wall and don’t know how to get past it. They’re showing buying signals but haven’t pulled the trigger. They’d expand faster with a conversation. Sales shouldn’t chase your best users. Sales should unblock users who are stuck.
Where Sales Actually Adds Value
| User State | Self-Serve Works | Sales Adds Value |
|---|---|---|
| Individual user, small team | Yes | No |
| Team ready to expand org-wide | Maybe | Yes |
| Enterprise with security requirements | No | Yes |
| User hitting limits, hasn’t upgraded | Maybe | Yes |
| Power user, already paying | Yes | No (unless expansion) |
Action Items
- Define your PQL signals: Pull your last 50 conversions. What did they do in the 7-14 days before paying? Look for actions that appear in 70%+ of conversions. Slack found 2,000 messages. What’s yours?
- Build a threshold model: Start simple. “Users who do X AND Y AND Z are PQLs.” Don’t over-engineer with ML until you have 1,000+ conversions. A basic threshold model that sales trusts beats a complex model they ignore.
- Measure PQL conversion rate: What percentage of PQLs convert within 30 days? Benchmark: 25-30% with sales engagement. If you’re below 15%, your PQL definition is too loose. Above 40%? Too tight.
- Time your sales response: How fast does sales respond to new PQLs? Under 1 hour = 53% conversion. Over 24 hours = 17%. Speed matters more than perfect qualification. Set up alerts.
- Decide: add sales or stay self-serve: Deals stuck at a size ceiling? Enterprise security requests piling up? Competitors with sales winning deals? If yes to any, plan your product-led sales motion. If no, keep optimizing self-serve.
Footnotes
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Kieran Flanagan, VP of Growth at HubSpot, via ProductLed. PQLs convert 5-6x better than MQLs, typically 15-30%. ↩ ↩2 ↩3 ↩4
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OpenView and Gainsight, “Product Qualified Lead Conversion Rate Benchmarks.” Only 24% of PLG companies use PQLs. PQLs convert 25-30% when sales engages. Response time data: 53% vs 17% conversion. ↩ ↩2 ↩3 ↩4
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ProductLed, “Lead Scoring Model to Uncover PQLs.” Slack 2,000 messages, Dropbox multi-device examples. ↩
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Refiner, “PQL Metrics: How to Identify Product Qualified Leads by 9 SaaS Brands.” Notion’s 1-100 scoring system, Calendly and Bonjoro examples. ↩ ↩2
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McKinsey & Company, “From Product-Led Growth to Product-Led Sales: Beyond the PLG Hype.” 65% of buyers prefer both experiences. PLS companies see higher growth and valuation. ↩ ↩2 ↩3
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OpenView, “2022-2023 Product Benchmarks Report.” 61% of PLG companies add enterprise sales by $50M ARR. ↩