Built-in segments
Lifecycle segments
Point-in-time classification based on when a user was first and last seen:| Segment | Definition |
|---|---|
| new | First seen within the last 7 days |
| returning | Not new, but active in the last 7 days |
| dormant | Last seen 8-30 days ago |
| churned | Last seen more than 30 days ago |
Engagement segments
Based on total session count (from the events table):| Segment | Definition |
|---|---|
| one_timer | Only 1 session total |
| casual | 2-4 sessions |
| regular | 5-14 sessions |
| power_user | 15+ sessions |
Segment counts
Get the number of users in each segment:Segment drill-down
See which users belong to a specific segment:first_seen and last_seen timestamps. For engagement segments, it includes session_count.
How segments are computed
Segments are calculated at query time — not pre-computed. Tell runs a single query using your filter’s time range to classify users. This means segment counts always reflect the current state of your data within the selected time range. No ML is involved in these segments. For ML-based segmentation (auto-generated clusters and churn predictions), see Predictions.Lifecycle segments are a snapshot — they classify all users right now using fixed 7/30-day windows. For a time series view of how new, returning, and resurrected users change over time, see the lifecycle metric.