What is a PQL (Product Qualified Lead)?

A product-qualified lead (PQL) is a user who has tried a product through a free plan, trial or pilot and taken the specific actions your data links to buying, so sales or an automated play should contact them next.

At a glance

• Tomasz Tunguz described the PQL in 2013 as a potential customer who has used a product and reached pre-defined triggers that signal a strong likelihood to pay.
• It differs from an MQL, which is scored on marketing activity such as form fills and email clicks.
• Every product needs its own triggers, and they change as usage patterns change.
• A product-qualified account (PQA) applies the same idea to several users at one company.

How a PQL is defined

Start from customers who already pay and look at what they did before they bought. Tunguz’s hypothetical example was Expensify: a user who uploads 10 receipts and invites one friend becomes a PQL and goes to sales. His point was that the best definitions come from conversion data, the behaviors that actually come before a paid upgrade.

Most definitions mix three things, which Kyle Poyar of OpenView listed in a 2023 Pocus session: high product usage, fit with your ICP, and signs of buying intent such as visiting the pricing page or asking about seats.

A PQL example

Example (illustrative): a project tool finds that free teams who connect an integration and add a fourth member in their first two weeks upgrade far more often than everyone else. It sets that as the trigger, adds a fit filter of 50 or more employees, and routes matching accounts to a rep with the usage history on the record.

• Usage trigger: integration connected and fourth teammate invited.
• Fit filter: company size and industry from enrichment.
• Action: rep outreach for fits, an in-product nudge for everyone else.

What the numbers say

Tunguz wrote in 2013 that when sales teams call PQLs, customers typically convert at about 25 to 30%, from what he saw across the SaaS companies he worked with. Treat that as one investor’s observation from that year, not a benchmark for your product. Your own conversion rate by trigger is the number that matters.

Common PQL mistakes

• Picking triggers by opinion. A feature the product team loves isn’t a buying signal unless paying customers used it first.
• Ignoring fit. A heavy solo user at a three-person company may never buy the plan a rep sells.
• Calling only individuals. Poyar’s warning was that working only PQLs means working accounts that might convert on their own. Look at the account level too.
• Never revisiting the definition. Tunguz noted the definition changes as usage changes. Check trigger conversion every quarter.

How PQLs show up in a revenue system

A PQL is only useful if it lands in the CRM with an owner, the trigger and the next step, inside the same stages the rest of the pipeline uses. That’s the kind of qualification rule and routing our RevOps work sets up inside partners’ systems.

Terms that sit next to PQLs

PQLs are the qualifying unit of product-led sales and of product-led growth more broadly. They’re usually built as part of lead scoring and sent to reps through lead routing. Once a rep accepts one, it moves on like any sales-qualified lead.