Product Growth Report

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

DimensionPQLMQL
Signal sourceProduct usageMarketing engagement
Intent indicatorExperienced valueExpressed interest
Conversion rate15-30%12-5%
Sales efficiencyHigh (warm, educated)Low (cold, need convincing)
ExamplesUsed feature 10x, invited teamDownloaded 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

CompanyPQL CriteriaWhy It Works
SlackTeam sends 2,000 messagesProves team adoption and habit
DropboxUploads files from 2+ devicesShows integration into workflow
NotionCreates 3+ pages, invites 2+ collaboratorsDemonstrates collaboration value
CalendlySchedules 5+ meetings, invites team, connects calendarFull product adoption within 14 days
ZoomHosts 3+ meetings with 3+ participantsNetwork value established34

Three Signal Categories

CategorySignalsExamples
Usage signalsFeature adoption, frequency, volume”Used core feature 10+ times”
Intent signalsPricing page views, upgrade clicks, limit hits”Viewed pricing 3x in one week”
Fit signalsCompany 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

ModelHow It WorksBest For
ThresholdBinary: Did they complete X actions?Early-stage, simple products
WeightedPoints assigned per action, sum to scoreGrowth-stage, multiple signals
PredictiveML model trained on conversion dataScale, 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

ActionPointsRationale
Signed up10Baseline
Completed onboarding20Shows commitment
Used core feature15Value experienced
Invited teammate30Expansion signal
Viewed pricing page25Purchase intent
Hit usage limit35Upgrade trigger
PQL threshold70Ready 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

Finding PQL Signals
  1. 1
    Pull converted users Who paid in the last 90 days?
  2. 2
    Map their pre-conversion behavior What did they do in the 7-14 days before paying?
  3. 3
    Find common patterns Which actions appear in 70%+ of conversions?
  4. 4
    Test 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

ModelHow It WorksRevenue Split
Pure PLG100% self-serve, no sales100% product
PLG + Sales AssistSelf-serve primary, sales for expansion70/30
Product-Led SalesProduct acquires, sales converts enterprise50/50
Sales + ProductSales primary, product for POC/trials30/705

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

RoleFocusUses Product Data For
Sales RepConvert PQLs, expand accountsPrioritization, personalization
Customer SuccessDrive adoption, prevent churnHealth scoring, intervention triggers
Growth PMOptimize PQL signals, conversion flowModel 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

SignalWhat It Means
Deals stuck at a size ceilingSelf-serve maxes out; enterprise needs human touch
Enterprise requests increasingSecurity reviews, procurement processes, custom terms
Competitors with sales are winningBuyers want the option
Expansion opportunities missedUpsell requires relationship
$10-50M ARR reachedScale 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

DoDon’t
Sales works PQLs only (not all signups)Sales calls every free user
Sales uses product data in outreachGeneric “checking in” emails
Clear handoff criteria (score-based)Ambiguous lead routing
Sales accelerates, doesn’t replace self-serveGating 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 StateSelf-Serve WorksSales Adds Value
Individual user, small teamYesNo
Team ready to expand org-wideMaybeYes
Enterprise with security requirementsNoYes
User hitting limits, hasn’t upgradedMaybeYes
Power user, already payingYesNo (unless expansion)

Action Items

  1. 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?
  2. 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.
  3. 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.
  4. 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.
  5. 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

  1. Kieran Flanagan, VP of Growth at HubSpot, via ProductLed. PQLs convert 5-6x better than MQLs, typically 15-30%. 2 3 4

  2. 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

  3. ProductLed, “Lead Scoring Model to Uncover PQLs.” Slack 2,000 messages, Dropbox multi-device examples.

  4. Refiner, “PQL Metrics: How to Identify Product Qualified Leads by 9 SaaS Brands.” Notion’s 1-100 scoring system, Calendly and Bonjoro examples. 2

  5. 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

  6. OpenView, “2022-2023 Product Benchmarks Report.” 61% of PLG companies add enterprise sales by $50M ARR.