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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.

  • Every visit included
  • Inputs never recorded
  • EU-resident by default
A product professional using analytics on a laptop in a modern workplace
Retention
Signal
W1
Coverage
100%
Decision
CSV
Where the signal gets lost

Why retention is hard to read

01

Plain monthly active users does not tell you if retention is improving or acquisition is just growing.

02

Most tools force a single cohort definition. Real teams need weekly, monthly, and per-feature cohorts at the same time.

03

Retention plots that round percentages obscure the cliff at week 2 and the slow tail beyond week 8.

The leadmaps difference

How leadmaps does it

Clean first-party evidence, presented clearly enough for the whole team to act on.

A product team reviewing analytics together01

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.

A product team reviewing analytics together04

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.

A team using product data to make a decision together
Ready when you are

Turn the next question into a clear answer.

Keep the raw signal, the decision, and the context in one privacy-first workspace.

Signal ready100%