
Short answer
Quick answer: if a salesperson works the list, buy a product-led sales platform. If a campaign works the list, you already have the tool and you need the definition. Pricing across this category is quoted rather than published as of September 2026 — verify live.
There are two problems in a PQL programme and they are not equally hard. The second one — collecting product events, computing a score, ranking accounts and pushing them into a CRM or a Slack channel — is genuine engineering and every tool here does it well. The first one — deciding which behaviours actually indicate readiness to buy — is a research question about your own customers, and no vendor can answer it. Teams buy the tool for problem two and discover that problem one was the constraint.
| Tool | Shape | Who works the list | Pricing shape |
|---|---|---|---|
| Pocus | Product-led sales platform | Sales team | Quoted |
| Endgame | Product-led sales platform | Sales team | Quoted |
| Correlated | Signal and playbook layer | Sales or CS | Quoted |
| HeadsUp | Signal and alerting layer | Sales or CS | Quoted |
| Warehouse-native | Your model in SQL | Whoever consumes the table | Engineering time |
| Questera | Lifecycle campaigns on the signal | An automated journey | Tiered by usage |
Pocus and Endgame are the two most teams shortlist, and the thing they genuinely do well is the last mile: a salesperson opens an account and sees the usage story — who is active, what they tried, what they hit a limit on — without switching tools. That context is what turns a score into a conversation, and it is harder to build than the score.
Correlated and HeadsUp are lighter and sit closer to the event stream, routing signals to the right person with a suggested play. They suit teams who already have a working CRM process and want signals into it, rather than a new surface for sales to live in.
Warehouse-native scoring deserves more consideration than it gets. If your product events already land in a warehouse, a scoring model in SQL is transparent, versioned, arguable and free of a per-seat bill. The trade is the last mile: you will build the alerting and the CRM sync that a platform includes, and that work is more than it looks.
Questera is on this list for one specific case rather than the category: accounts where the right response to a qualifying signal is an automated lifecycle campaign, not a human. Usage crosses a threshold, the account enters a journey with the eligibility and suppression rules already applied. Anti-fit, plainly: we do not give a sales team a ranked account workspace with usage evidence attached, and if that is what you need, Pocus or Endgame is the purchase. Our PQA definition worksheet is the part that comes before any of these tools.
Most PQL definitions are written in a meeting from intuition: three seats, two integrations, fourteen days of activity. They sound reasonable and they are untested. The check that costs an afternoon and changes everything: take the accounts that converted in the last two quarters and ask what share of them would have qualified under your definition, and what share of accounts that qualified never converted. If most converters would have been missed, the definition is too narrow. If most qualifiers never converted, sales is about to stop trusting the list — and once they stop, no amount of tooling brings the trust back.
The second thing tools do not fix is eligibility. A qualifying score on an account that cannot buy — wrong region, active support escalation, a contract that already covers the thing you are upselling — costs more credibility than a missed signal. Our upsell eligibility rule set is the exclusion layer that belongs between the score and the action.
What is the best PQL tool?
Pocus or Endgame if a sales team works the list, Correlated or HeadsUp for signals into an existing process, warehouse-native if you want to own the model, a lifecycle platform if the action is an automated campaign.
What counts as a product qualified lead?
An account whose in-product behaviour suggests readiness to buy or expand. It is a hypothesis expressed as a threshold, and it is only as good as the converted accounts you derived it from.
Tool first or definition first?
Definition. A tool scoring against an unvalidated definition produces a confident wrong list, which consumes sales attention and then loses their trust permanently.
See it in action

