Are users coming back after using the product?It covers Day 1, Day 7, and Day 30 retention, cohort analysis, and returning versus churned users — for example, 100 users joined and 30 came back after 7 days. Use it to measure product stickiness and improve long-term engagement.
KPI metric cards
Overall Retention
The percentage of users that perform an event and return to perform that event on or after a specific day. Tracks how many users return across:Day 7 Retention Over Time
The percentage of users that perform an event and return to perform that event on or after Day 7.Usage Interval
The percentage of active users that have performed Any Event with a median frequency of X days.Explore further
An option is provided to continue in the chart creation interface. Clicking it redirects you to the Retention creation page.Breakdown and metrics table
Break metrics down by specific dimensions to identify behavior differences across segments. You can select any available property. The retention data table is shown for the selected event.Configuration
Click Configurations to open the Product Analytics Configuration page and land on the Retention Analysis creation page.Retention events
Which event best represents a user returning to and engaging with your product?Select events using the event selector, with event filter support. Default value is Any Event, and you can select two events.
Retention interval
What is the retention interval you are interested in?
Default selection: Day 7, Week 1. The selected intervals determine which retention metrics appear on the dashboard.
Default segment
Apply a default segmentA segment selector, defaulting to All Users. The chosen segment applies across dashboards, and all analytics queries use it unless changed.
Saving
Save stores all configuration changes. Discard Changes reverts all unsaved changes. Configuration changes impact KPI metrics, charts, retention calculations, and the retention table.Filters and controls
Filter the dashboard by user properties or session properties. Segments, the data freshness indicator, date range, and time granularity work as described in the Product Analytics overview.Next steps
- Retention analysis to build a standalone retention report
- Stickiness to measure how many days users repeat an event
- Product Analytics overview