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Tell collects events, sessions, and logs from your app — then lets you query them as metrics, time series, and breakdowns. You get answers like “how many daily active users this week?” or “which events are most common?” without writing SQL.

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What you can measure

CategoryMetricsLearn more
VisitorsDAU, WAU, MAU, user count, location, device, OSVisitors & Page Views
SessionsSession volume, unique sessions, stickiness (DAU/MAU)Sessions & Stickiness
EventsEvent counts, top events, property breakdowns, aggregationsEvents
LogsLog volume by level, top logs by source/servicePart of the metrics API
SegmentsLifecycle (new, returning, dormant, churned) and engagement segmentsSegments
PredictionsChurn risk, auto-segmentation, anomaly detection, forecastingPredictions

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How it works

Every metric follows the same pattern: pick a time range, optionally add filters and breakdowns, and get back a time series. 
# Daily active users over the last 30 days
tell metrics dau --range 30d

# Event counts broken down by device type
tell metrics events --range 7d --breakdown device_type

# Compare this week's sessions to last week
tell metrics sessions --range 7d --compare previous
The same queries work through the HTTP API, the TUI, and boards.

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Filtering and breakdowns

All metrics support the same filtering system — 15 operators, breakdowns by any field, time granularity from minute to yearly, and period comparison. See Filtering & Breakdowns for the full reference.

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Boards

Combine multiple metrics into dashboards with Boards. Each board contains metric blocks that you configure with their own time ranges, filters, and visualizations.

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SQL access

For queries that go beyond built-in metrics, use raw SQL directly against ClickHouse — scoped to your workspace and security-validated.