Let the Product Tell You Who's Ready to Buy

Your sales team and your product team argue about lead quality because they measure two different things. Marketing hands over a list of people who filled out a form or downloaded a guide. Sales calls them, gets ghosted, and blames the list. Both sides are right, and both are stuck. The fix is to stop guessing what a good lead looks like and let the product answer. A product qualified lead, or PQL, is a free or trial user who has done enough inside your product to show real buying intent. It is one honest signal both teams can trust.

The deep cut

• Behavior beats a form fill. A PQL is qualified by what a user did in the product, not by a webinar signup.
• A vague definition breaks the handoff. Skip the shared PQL criteria and reps reach out too early or miss the in-product hand raisers entirely.
• Name four actions that equal first value. Sherlock's activation checklist turns "engaged" into something you can count.

Why a form fill lies and product usage does not

Marketing qualified leads measure interest in your marketing, not your product. Someone downloads a guide, and now they are a "lead." But reading a blog post tells you nothing about whether they will pay. Appcues puts it plainly: MQLs are unreliable predictors of purchase intent, while a user's behavior inside the product tells you more than any form fill ever could.

A PQL flips this. It is a trial or freemium user who has used your product enough to feel its value. HubSpot frames it as turning the funnel 180 degrees: start with product adoption, then spend your sales energy on people who already raised their hand by using the thing. The signal is honest because the user cannot fake it. They either built the project and invited their team, or they did not.

Pin down what "activated" means before you score anything

You cannot track engagement you have not defined. The first job is to name the handful of actions a new account takes to reach first value. Derek Skaletsky at Sherlock gives a clean example for a project tool: account created, invited two teammates, made a project, uploaded files, created tasks, completed a task. Hit those, and the account is activated.

Do not overthink the threshold. You can call an account product qualified when it finishes the whole checklist, or when it hits half. Skaletsky's point is that either works as long as you pick one and measure against it. Google Docs, by HubSpot's telling, treats create, share, edit, and comment as its steps. Study your happy customers, find the actions they all took, and work backward. That list becomes your definition.

Read the signals as a ladder, not a single line

Activation is the floor, not the finish. Appcues sorts usage into four rungs: activation (they hit the aha moment), engagement (they come back and use core features), expansion (they are adding people or nearing plan limits), and intent (they visited the pricing page or clicked upgrade). Each rung deserves a different response, from a light in-app nudge early on to a rep conversation once someone is bumping the ceiling.

Kelly McKeown at Product-Led Alliance adds two checks so you do not chase warm users who will never buy. Score engagement, but also score fit (does this user match your ideal customer) and intent (are they projected to blow past a usage limit). A power user at a company you cannot sell to is not a PQL. Weight the three, set a threshold, and pass the ones that clear it.

One metric the whole company can rally around

The reason PQLs matter beyond sales is that they give four teams one shared scoreboard. Skaletsky argues most KPIs live in silos: marketing owns top of funnel, sales owns conversions, success owns retention, and everyone competes. PQLs cut across all of it. A high PQL rate tells marketing it is bringing the right users, tells product its onboarding works, and hands sales a warm list. Track three numbers: raw PQLs per week, PQL rate, and PQL to paid conversion.

When a rep does reach out, the product has done the cold work. Appcues calls this consultative: the rep opens with what the user already did, like heavy use of one feature, and points at the next step. Chris Luxford's warning about outcome-based selling applies here too. This is a mindset shift, not a tooling swap. If only sales changes and product ignores it, people regress to old habits fast.

Three questions for your team

• What four actions does a new account take to reach first value, and can we all name them from memory? If not, start there before you score anything.
• If PQLs convert better than MQLs, what is actually blocking us from using them, and where could we run one small test this quarter?
• Who owns the PQL definition when product, sales, and data disagree, and how will we keep sales from regressing to old habits once the shift starts?