Product usage signals (2026): the tools that turn signups into sales conversations

We read usage straight from the client's warehouse or product database, decide which accounts cross the PQL line, and write the result onto the Attio company record with the reason attached. Reps see one field and one sentence, not a dashboard.

These tools record events in your product. They are where you define the cohort, such as workspaces with three or more active users this week, before anything goes to sales.

If usage lives in a warehouse, reverse ETL syncs a model of it into the CRM on a schedule. If it lives in an event stream, a CDP forwards it.

These combine product usage with web, CRM, and third-party signals and hand reps a ranked list. Both keep product signals on their top tier.

Usage answers the question cold outbound never can: is this account already getting value? A free workspace with one user who logged in twice is a lead in name only. A free workspace where seven people from the same company domain log in every day, two of them managers, is a sales conversation waiting to happen.

The useful signals are usually few. Pull your last 50 closed-won accounts that started on free or trial and look at what they did in the 30 days before they talked to sales. Most teams find two or three behaviors that separate them from accounts that never paid.

Several tools built only for PQLs are gone or changed hands. Pocus announced it was joining Apollo in March 2026 and its site now shows a waitlist. Koala was acquired by Cursor and shut down. Breadcrumbs folded into MadKudu, and madkudu.com now redirects to HG Insights. Census became Fivetran Activations. Endgame now sells a context layer for sales calls and email.

That leaves two practical routes. Buy a broader signal platform that includes usage on its top tier, such as Unify Business or Common Room. Or build it from parts you probably already pay for: product analytics, a pipe to the CRM, and a scheduled job that scores accounts. The second route is cheaper and you own the logic, but someone has to maintain it.

Here is the play we set up most often. A nightly job reads the last seven days of usage, flags any company domain with three or more active users that is not paying, and writes PQL status and the reason to the CRM company record. The job then finds the economic buyer at that company, who is usually not the person using the product, and enrolls them in a short sequence. The routing rule sends it to the rep who owns the account, or to the pool if nobody does.

The copy names the team, not the clicks. "Four people on your design team have been using the free plan since August" lands. "I saw you exported 14 files on Tuesday" reads as surveillance and gets reported. Offer something useful for the next step, such as a security review, a shared workspace setup, or pricing for the seat count they already have.

Product usage is first-party data, but you still need your privacy policy and terms to allow using it for sales outreach, and in the EU and UK you need a lawful basis. Keep outreach at the account and team level, honor opt-outs across product email and sales sequences, and do not pass raw event logs into tools that do not need them. This is not legal advice.

Most product-led teams have the data and no path from it to a rep. The analytics tool knows who is active, the CRM does not, and sales works a list of signups sorted by date.

OneGTM finds the signals that predicted past conversions, builds the job that scores accounts and writes them to your CRM, and wires the outreach that follows. You own the code, the data, and the workflows.