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Behavior analytics · Retention

Who returns, and what made them

New-user retention by sign-up week, and feature retention: of the people who used a feature once, how many came back to it?

  • Any start and return event
  • Daily, weekly or monthly
  • Website, app and mini program
What you get

Retention you can act on

Compare cohorts, find the features that keep people and the groups that leave.

  • Cohort tables and curves

    Retention by the day, week or month people started, as a table or as curves.

  • Feature retention

    Which features people return to — the ones worth promoting in onboarding.

  • Any start, any return

    Start from sign-up, first purchase or any event; count returns as any event or a specific one.

  • Split and compare

    Break down by channel, platform or segment to see who stays.

How it works

From events to curves

  1. 1

    Choose the start event

    For example, sign-up or first order.

  2. 2

    Choose the return event

    Any activity, or a key action such as a report export.

  3. 3

    Compare groups

    Split by channel or segment and save the chart to a dashboard.

Questions it answers

What retention answers

01

Are newer users sticking better?

Compare recent sign-up weeks with older ones.

02

Is the new feature used twice?

Feature retention shows whether people come back to it.

03

Which channel brings loyal users?

Split retention by acquisition channel.

FAQ

Retention analysis questions

Anything else — open the chat in the corner and ask.

What counts as “returning”?
You choose: any activity or a specific event.
Can I see retention for app users?
Yes. Retention works on website, app and mini-program events (apps and mini programs from Pro).
How is retention different from cohort LTV?
Retention counts people who come back; cohort LTV adds up what they pay over time.

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