PQL · Product Qualified Lead
Product Qualified Lead
What is a PQL?
- A promising lead identified by product usage behavior
- Criteria set by working backward from the early behavior of converted customers
- The actual user and the approver may be different people
Adopting PQL moves the authority to judge lead quality from the marketing department to the product logs. Before, the same argument kept repeating: sales asking “Why are this month’s leads so bad?” and marketing replying “But they filled out the whole form.” Usage records, by contrast, are one screen both sides look at together. So the party that sets the criteria changes too: the conditions come not from marketing alone but from product, data, and sales sitting down together. Moving the basis of judgment from opinion to logs is the real substance of this concept.
When designing the criteria, look at two axes together. One is the activation signal that a user has experienced value (reaching a core feature, connecting data, inviting a second user). The other is the limit-reached signal that the free tier is no longer enough (80% of storage used, all free seats taken, clicking a permissions feature). Look only at the first, and you mix in accounts that use the product well but have no reason to buy. Look only at the second, and you end up approaching accounts that haven't even settled in yet. Three to five criteria is the realistic range; add more and only a handful of accounts qualify each month.
B2B changes the unit of judgment, too. You look not at a single user but at every account tied to the same domain, which is sometimes called a product qualified account (PQA). Don't scrap MQL and switch to PQL; it's safer to run the two tracks separately. Deals such as large-enterprise purchases, where the buyer asks for a proposal before trying the product, still exist, so the moment you discard inquiries without a trial, you lose the big deals.
The most common mistake is calling the moment an alert fires. When a practitioner who is just browsing features suddenly gets a “Can we help with payment?”, all they take away is a sense of being watched, and the account quietly goes cold. Another is mistaking an active user for a soon-to-be buyer. In Korea, no matter how happy the practitioner is, budget and security review sit in other departments, so a PQL whose approval chain hasn’t been checked can stall for three months. Setting the criteria once and leaving them untouched for over six months is also a problem. When the product changes, so do the conversion behaviors, so work backward again every quarter.
John KimInstructor John Kim, author of B2B Marketing Design and CEO of Nanum Consulting
Euijung KimBrand strategist with 30 years in advertising, formerly a division head at Daehong CommunicationsThe concept emerged in the late 2010s, as product-led growth (PLG) built on free trials and freemium models spread and MQLs proved inadequate for judging purchase likelihood. It has since become standard working terminology in the SaaS industry.
Let’s walk through a hypothetical case: Company A, which sells project management SaaS in Korea. With 90 employees and annual revenue of about KRW 12 (≈ US$1) billion, it gets 1,400 free-trial sign-ups a month. Its three sales reps were calling every one of them, and the trial-to-paid rate stayed at 1.2%. When the CEO asked, “Sign-ups are growing, so why is revenue flat?”, a four-month overhaul began.
- A growth team lead pulled the first-two-week logs of all 212 accounts that converted to paid over the past six months and found a common thread: 78% of them had connected an external calendar or messenger.
- When the data lead set inviting 3 teammates, creating 2 projects, and connecting 1 external tool as the PQL criteria, only 88 of 1,400 monthly sign-ups remained, and the sales head said, “This is a number the three of us can actually review properly.”
- As the dev team set up the CRM to flag accounts that meet the criteria automatically, they also locked in a rule: even when an alert fires, wait at least three business days before reaching out. Several earlier cases had churned after an immediate call.
- The sales rep first emailed a feature guide to the heaviest user on the account, and when a reply came, asked, “Would you like us to put together a usage summary you can use when your team considers adoption?”, steering toward an introduction to the department head.
- Four months later, the trial-to-paid conversion rate rose from 1.2% to 4.8%, monthly contacts per sales rep fell from 460 to 30, and the time from first contact to contract shrank from 45 days to 26.