What Zoody is actually for,in three concrete RevOps setups.

Score free users on real product behavior, not form-fills.

A working PQL model takes 4-6 events, the right HubSpot property structure, and one workflow. The version Zoody walks every customer through in week one, with property names, weights, and a worked example.

Typical outcome: Free-to-paid conversion lift from 2% to 5-8% by alerting AEs the moment usage crosses threshold.

Time-decay scoring and behavior triggers across the 14 days that matter.

Trial sequences usually run on calendar logic because HubSpot doesn't know what happens in the product. Wire in a trial-window score that decays, segment by activation status, and the same calendar slot starts sending three different emails.

Typical outcome: Trial-to-paid conversion lift from 8-12% range into the 15-20% range.

Free user crosses the SQL line and Slack pings the AE in under a minute.

The handoff from product to sales runs on spreadsheets in most PLG companies. Put the right product signals on the contact record and the workflow becomes straightforward: lifecycle stage promotion, owner assignment, Slack alert with context.

Typical outcome: Median SQL-to-first-AE-touch time from 11 hours to under 40 minutes.