Retention
Who comes back, week after week.
Returning visitors over time, grouped by signup cohort. The classic SaaS retention triangle, with exact counts under every percentage.
Why retention is hard to read
- Plain monthly active users does not tell you if retention is improving or acquisition is just growing.
- Most tools force a single cohort definition. Real teams need weekly, monthly, and per-feature cohorts at the same time.
- Retention plots that round percentages obscure the cliff at week 2 and the slow tail beyond week 8.
How leatmap does it
Cohorts by signup week or month.
Toggle grain in one click. See the trend without rebuilding the report. The grid recomputes server-side, never in your browser.
Returning visitors, exact counts.
Every cell shows both the percentage and the underlying count. No false precision, no rounding that hides the real shape.
Filter by any event property.
Look at retention for visitors who hit a specific feature, segment, or pricing tier. The grid filters live, no SQL required.
Export the matrix.
One-click CSV of the underlying cohort grid. Hand it to your finance team, your board deck, or your own modelling notebook.
Stop measuring with crossed fingers.
Get a tracking plan you can trust, a collector that enforces it, and a dashboard you actually want to open.