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Chartcastr supports 11 pre-built PostHog metrics across four categories. Each metric is delivered with an AI-generated summary tailored to product analytics.

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Active Users

MetricChart TypeDescription
Daily Active Users (DAU)LineUnique users per day based on pageview events
Weekly Active Users (WAU)LineRolling 7-day unique users
Monthly Active Users (MAU)LineRolling 30-day unique users
DAU / WAU / MAUComboCombined chart showing all three active user metrics together
DAU / WAU / MAU is the recommended starting metric — it gives a complete engagement picture in a single chart and pairs well with a daily or weekly Slack delivery.

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Growth Accounting

MetricChart TypeDescription
New UsersBarUsers who performed the event and were created during the interval
Retained UsersBarUsers active in both the previous and current interval
Resurrected UsersBarUsers inactive in the previous interval but active again
Dormant UsersBarUsers active in the previous interval but inactive in the current one
Growth AccountingStacked BarCombined chart showing all four lifecycle stages
The Growth Accounting chart is especially useful for product teams to understand whether growth is driven by acquisition (new), retention, or reactivation (resurrected) — and how much is lost to churn (dormant).

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Events

MetricChart TypeDescription
Total EventsLineTotal count of all events per day
Unique Users (Events)LineUnique users across all events per day

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Pageviews

MetricChart TypeDescription
Total PageviewsLineTotal pageview count per day
Unique Pageview UsersLineUnique users with pageviews per day

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AI-Powered Summaries

Every PostHog chart is delivered with an AI-generated summary specific to the product metric:
  • Active Users: engagement trends, DAU/MAU ratio (stickiness), weekly patterns
  • Growth Accounting: net growth signals, retention health, churn acceleration
  • Events: usage volume trends, anomaly detection, correlation with releases
  • Pageviews: traffic patterns, bot detection signals, feature adoption proxy

How AI analysis works in pulses

Learn how Chartcastr generates summaries, what context it uses, and how to get the most out of AI analysis.