Software Growth

PQL (Product qualified lead)

A PQL is a user or account that has used your free trial or free plan in ways that signal they are likely to pay, so sales can reach out with context.

A product qualified lead is someone who has tried your product and behaved like a person who will buy. Instead of scoring them on ebook downloads, you score them on what they did inside the app: invited teammates, hit a plan limit, connected an integration, or completed the setup that predicts retention.

PQLs matter if you run freemium or a free trial. Most signups will never talk to you, and a few will become customers on their own. The PQL is how you find the ones worth a human nudge, without emailing everyone.

How a PQL is defined

Kyle Poyar, who wrote about this at OpenView, describes a PQL as a user who shows high product usage, fits your ideal customer profile, or both, and sometimes shows explicit purchase intent. In the OpenView product-led sales research he discussed on a Pocus AMA, he also separates the PQL, which is about one person, from the product qualified account (PQA), a group of connected users inside one company who together signal buying potential. He adds that teams got so focused on product signals that the best answer sits somewhere in the middle, combining usage with traditional fit data.

A practical PQL rule has three parts:

  • Fit. The company or person matches your ideal customer profile.
  • Activation. They reached the moment that predicts long-term use. See activation rate.
  • Buying signal. They hit a limit, used a paid feature on trial, viewed billing, or added several teammates.

How to measure PQL conversion

If 1,000 people sign up for a trial in a month and 120 meet your PQL rule, you have a 12% PQL rate on signups. Say 42 of those 120 become customers. That is 42 / 120 = 35%. If the other 880 signups convert at 3%, you get about 26 customers, so the PQLs convert at a far higher rate and deserve your personal attention first. Those figures are an illustration. Look at your own cohorts to set the rule.

PQL versus MQL

An MQL says "interested." A PQL says "has used it and it worked." PQLs usually convert better because the lead has already seen the product, which is why they are central to product-led growth. A PQL still needs to be confirmed as a sales qualified lead if you sell a higher-priced plan.

Common mistakes

  • Picking signals by gut feel. Compare the behavior of customers who paid with those who churned, and choose actions that separate them.
  • Counting a single power user at a tiny company as a PQL when no one else can approve a purchase.
  • Reaching out with a generic "need help?" message. Mention what they actually did.

For small SaaS

You do not need a data stack. A weekly query that lists accounts that hit your activation event and a plan limit, plus a short personal email, is a working PQL system. Add automation once you have enough volume to justify it.

Sources

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