Product qualified lead

What a product qualified lead means

A product qualified lead is somebody who has already got value out of your product. One published definition is a lead who has experienced meaningful value inside your product, usually through a free trial or a free plan.

One guide puts the difference plainly: a PQL looks at customer engagement with the product, while an MQL looks at marketing engagement to qualify as a lead.

So the two terms read different files. One reads your marketing system, the other reads your product database.

For example, your scoring model can see that somebody opened three emails. It cannot see that they invited four colleagues into a workspace, and that second fact is the one worth calling.

What a real trigger looks like

A PQL trigger is one specific in-product action with a number attached. The examples worth copying are old and public, and what they share matters more than any single threshold.

Three companies, three numbers

1. 1Each definition names one action and one count. No adjectives, no score, no weighting across five signals.
2. 2The counts are far apart because the products are. Copying somebody else’s number is the mistake this list makes obvious.
3. 3The same page says a PQL definition is "entirely dependent on how your business operates," which is the same handoff the MQL definitions make.

Notice what is missing from all three: nobody counted logins. For example, a login tells you somebody came back and nothing else.

A habit is different. It means they would notice if you took the product away, and that is the thing a rep can build a conversation on.

One guide adds a caveat worth carrying: the qualifying action scales with the account, so a small team and an enterprise account should not clear the same bar. It arrives with no numbers attached, so read it as a direction and not a setting.

What a cleared trigger is worth is the next question, and the answer you will meet most often comes from vendors selling the model.

The comparison you will be shown

1. 1Four numbers in five lines: 13 percent, 6 percent, 84 days, and five to six times.
2. 2The 13 percent is the only one carrying a link, and it goes to a KPI reference page, not to a study. The other three carry nothing.
3. 3Treat it as a vendor’s case for the model. No PQL conversion rate with a stated sample is published anywhere.

Why no CRM ships this stage

Look at the default lifecycle stages in HubSpot and there is no PQL among them. Subscriber, lead, marketing qualified lead, sales qualified lead, opportunity, customer, evangelist and other. The term you came here for is not on that list.

That is a build, not a setting. Somebody has to get the product event into your CRM, decide the threshold, and route on it. Teams underestimate the first part and argue about the second.

1. Find the action your best customers all took

   Look at accounts that converted last year and find one in-product action every single one of them completed before paying. Start there, not with a metric you already report.

2. Find the number where the curve bends

   Plot conversion against how many times accounts did that action. The threshold is where the line stops being flat, not a round number you like.

3. Check it against the accounts who did not buy

   If plenty of non-buyers cleared the same bar, the action is popular and not predictive. Try a different action before you tune the number.

4. Get the event into the CRM before you announce it

   A trigger your CRM cannot route on changes nothing. This is the step that quietly kills most PQL projects.

Step three is the one that saves a quarter. An action that everybody takes tells you nothing, however strongly it correlates with the people who bought.

PQL and MQL and activation

Three terms get used for overlapping things here, and two of them are owned by different teams. Sorting them out is mostly a question of which system holds the evidence.

The marketing side of the contrast is plainer: an MQL is a prospect who meets the criteria your marketing team sets. The criteria are yours, so the term travels badly between companies.

Forrester solves the same problem in the other direction. Jessica Lillian’s account of the SiriusDecisions Demand Waterfall replaces the lead with a demand unit, a buying group organised around one need.

The practical rule is about what already exists. If people can use your product before paying, a PQL is available to you. If they cannot, the term does not apply no matter how good it sounds in a plan.

One publisher places the PQL alongside MQL and SQL for product-led companies instead of replacing them, and that is usually right. Sales still qualifies, but they open the conversation knowing what the person already did.

Where the term goes next

A PQL only means something once you know what it is standing next to. The two older stages carry the definitions, the published conversion rates, and the argument about who sets the bar.

Read the comparison of the two older stages first, then decide whether your product can produce a signal worth qualifying on.

Suppose your product can produce the signal: filling the top of that funnel is our SaaS SEO service.