Product Qualified Lead (PQL)
What is PQL?
A PQL (product qualified lead) is a user who has gotten real value inside the product, by hitting a usage milestone, inviting teammates, or nearing a plan limit, and is ready for an upgrade or sales conversation.
A PQL earns the label through what someone did inside the product. What they read or said doesn’t count, and neither does a login. The trigger should be a value moment that predicts paying, like inviting teammates or connecting real data. Since the product has already made its case, a PQL usually needs help finishing the purchase more than persuasion.
Also known as: Product Qualified Lead
How to use it
- List the accounts that converted from a free plan or trial in the last two quarters, and the same number that did not. Use accounts rather than individual users if several people from one company share a workspace.
- Compare what the two groups did in their first weeks: teammates invited, integrations connected, projects created, plan limits reached. Pick one or two actions that are much more common among converters as the PQL signal.
- Add a fit filter from your ideal customer profile, such as company size or role, so heavy users who can never buy are not routed to sales. Then check every quarter whether PQLs still convert at a clearly higher rate than other sign-ups.
Worked example
Hypothetical worked scenario
A fictional collaboration tool gets 2,000 free sign-ups in a quarter. 300 accounts invite three or more teammates in their first two weeks, and 75 of them upgrade. Of the other 1,700 accounts, 34 upgrade.
PQL conversion = 75 ÷ 300 = 25%. Non-PQL conversion = 34 ÷ 1,700 = 2%. PQLs are 15% of sign-ups but 75 ÷ 109 ≈ 69% of upgrades.
Inviting three teammates clearly separates likely buyers, so it works as a PQL signal. Sales time spent on those 300 accounts goes much further than calls to every sign-up.
Choosing between candidate signals
The same fictional quarter: 2,000 sign-ups, 109 upgrades, so 5.5% of all sign-ups paid. Each row is one candidate PQL rule.
| Signal | Accounts | Upgraded | Conversion | Lift vs all sign-ups | Share of all upgrades |
|---|---|---|---|---|---|
| Logged in on 3 or more days | 1,100 | 96 | 8.7% | 1.6× | 88.1% |
| Connected an integration | 420 | 63 | 15% | 2.8× | 57.8% |
| Invited 3 or more teammates | 300 | 75 | 25% | 4.6× | 68.8% |
| Invited 3+ teammates and connected an integration | 140 | 52 | 37.1% | 6.8× | 47.7% |
Two numbers decide the choice. Lift is how much more often accounts with the signal pay than sign-ups in general. Share of all upgrades is how many eventual buyers the rule would have flagged.
- Logging in on three days catches 88.1% of buyers, but its 1.6× lift means most of the 1,100 accounts never pay. It describes activity, not value.
- Inviting three teammates has 4.6× lift and still catches 68.8% of buyers. It is the better general rule.
- Requiring both actions raises lift to 6.8× but misses over half of buyers. Use a narrow rule like this only to decide who gets a sales call, and the broader rule for in-product upgrade prompts.
What the result tells you
A good PQL definition shows a big gap between PQL and non-PQL conversion, and catches most of the accounts that end up paying. If PQLs convert only a little better than everyone else, the signal is tracking activity, not value. If they convert well but make up few of the upgrades, the signal is too narrow: buyers are reaching checkout and nobody notices.
Assumptions and common mistakes
- Don’t copy another company’s PQL threshold. A message count or seat number that predicts buying in one product can mean nothing in another.
- A PQL is not automatically a sales lead. Many product-led buyers prefer to upgrade on their own; offer help in the product first and reserve outreach for larger accounts.
- Re-test the definition after pricing or packaging changes. Moving a feature behind a paywall changes which actions predict an upgrade.
Compare related measures
Frequently asked questions
What is the difference between a PQL and an MQL?
An MQL is qualified by engagement with marketing, such as content downloads or webinar attendance. A PQL is qualified by use of the product itself, which is usually much closer to a buying decision.
Is every free-trial sign-up a PQL?
No. Signing up shows interest, not value. A sign-up becomes a PQL only after reaching the usage milestone that your own data links to paying.
Should PQLs be counted per user or per account?
Per account in most B2B products. Five people from one company using the product are one buying opportunity, and counting them separately inflates the number of leads.
Sources and methodology
These references explain the methods. The worked scenarios use hypothetical figures. They are not company results or current market benchmarks.
- Pocus: The Definitive PQL Guide, Part 1
How to build a PQL definition from customer fit, product usage and buying intent, tested against real conversions.
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