A user who has experienced your product's core value first-hand — usually in a free trial or freemium plan — and whose in-product behaviour signals they are ready to become a paying customer.
PQL conversion rate = (PQLs that became paying customers ÷ total PQLs) × 100, with PQL rate = (PQLs ÷ total signups) × 100 as the upstream measure
800 free-trial signups in a month. 120 hit the PQL threshold (completed activation and invited a teammate), and 30 of those PQLs upgrade to a paid plan.
PQL rate = (120 ÷ 800) × 100 = 15%. PQL conversion rate = (30 ÷ 120) × 100 = 25% — versus 30 ÷ 800 = 3.75% if every signup were treated the same.
A PQL is qualified by behaviour, not declared interest. Where a marketing-qualified lead has filled in a form or downloaded a whitepaper, a PQL has done something inside the product that historically precedes a purchase: reached the activation milestone, invited teammates, connected an integration, hit a usage limit, or viewed the pricing page. The buyer has already experienced the value they would be paying for.
The definition is company-specific and should be reverse-engineered from your own conversion data. Pull the accounts that became paying customers, find the in-product actions they took before upgrading that non-converters did not, and set the PQL threshold at those value moments. A good definition pairs a usage signal (created three projects, invited two teammates) with fit: the account matches your ideal customer profile.
The most common mistake is qualifying on vanity engagement instead of value moments. Counting logins, sessions, or page views produces a long list of "PQLs" that never buy, because activity is not the same as value received. The second trap is scoring usage without fit — a hobbyist who uses the product heavily but will never pay is not a PQL. Fewer, stricter PQLs beat a bloated list.
PQLs are the hand-off point between product and revenue in product-led growth. Route a PQL to a sales touch, an upgrade prompt, or a targeted email the moment they cross the threshold; the window while value is fresh is short. Then close the loop against billing data: if a signal you score highly never shows up in the accounts that actually generate revenue in Stripe, demote it and re-fit the definition.
For a founder with a self-serve funnel and a small (or non-existent) sales team, PQLs are how you spend scarce attention where the revenue is. Instead of chasing every signup, you focus outreach, onboarding help, and upgrade prompts on the accounts that have already felt the product's value — which lifts trial conversion, shortens the sales cycle, and lowers effective CAC without hiring more salespeople.
ProductLed's 2022 Product-Led Growth Benchmarks (with Gainsight) found free trials using PQLs convert to paid at roughly 25% on average — about 3× the ~9% median free-to-paid rate — rising to 30% for products with $1k–$5k ACV and 39% at $5k–$10k ACV. Only around 24% of product-led companies used PQLs at all.
An MQL is qualified by marketing engagement — form fills, content downloads, email clicks — which signals interest but not experience. A PQL is qualified by product usage: they have already used the product and extracted value from it. Because the buyer has experienced what they would be paying for, PQLs convert to paid at a multiple of MQLs.
Work backwards from your paying customers. Find the in-product actions converters took that non-converters did not — activation milestones, teammate invites, integrations connected, usage limits reached, pricing-page views — and set your PQL threshold at those value moments, combined with ideal-customer-profile fit. Then keep validating the signals against actual upgrades in your billing data.
ProductLed's 2022 PLG benchmarks put average PQL-to-paid conversion at around 25%, rising to 30–39% for higher-ACV products — roughly 3× the ~9% median free-to-paid rate for untargeted signups. If your PQLs convert at rates close to your overall signup base, your PQL definition is too loose.
No. A signup is just a signup — most trial users never reach the product's core value. A user only becomes a PQL once their behaviour inside the product crosses your qualification threshold, such as completing activation or inviting teammates. Treating every trial as a PQL is the fastest way to make the metric meaningless.
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