Retention numbers with no why
Connect each cohort to the events, sessions, and feedback behind it.
Retention analysis
Cohort retention analysis that explains why users come back
Group users by when they started and see what share returns in later periods — then jump to the events and sessions behind the curve.
Problems it solves
Built for teams that want retention with a reason
One global number hides the story
Break retention down by cohort and by segment.
Retention in a separate tool
Retention sits next to events, funnels, and replay in one workspace.
Workflow
How PulsePanda turns this into product decisions
Group into cohorts
Users are grouped by when they first appeared.
Measure return
See what share of each cohort comes back in later periods.
Explain it
Open the events and replays behind a cohort's curve.
What you get
Connected capabilities in one workspace
CohortsRetention by start period and by segment.
CurveReturn rates across later periods.
ContextLinked events, funnels, and replay.
FAQ
Questions teams ask before switching
What is cohort retention?
It groups users by when they started and measures what share returns in later periods.
Can I see retention by segment?
Yes. Combine retention with saved segments to compare audiences.
How does it connect to the rest?
Retention links to the events, funnels, and replays that explain the curve.
Related pages
Explore the rest of the PulsePanda analytics stack
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