Retention numbers with no why
Read each cohort next to the events, funnels, and replays in the same workspace.
Retention analysis
Cohort retention analysis that shows who comes back
Group users by when they started and see what share returns in later periods, by week or month.
Problems it solves
Built for teams that want retention with a reason
One global number hides the story
Break retention down by weekly or monthly cohort.
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
Compare the curve with your funnels and replays to find what brings users back.
What you get
Connected capabilities in one workspace
| Cohorts | Retention by weekly or monthly start period. |
|---|---|
| Curve | Return rates across later periods. |
| Context | Events, funnels, and replay in the same workspace. |
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 choose the cohort period?
Yes. Group cohorts by week or by month.
How does it connect to the rest?
Retention sits in the same workspace as the events, funnels, and replays that explain the curve.
Related pages
Explore the rest of the PulsePanda analytics stack
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