Run automated cohort and retention analyses
AirOps MCP queries your data warehouse to build cohort retention tables, calculates week-over-week and month-over-month retention curves, and surfaces the product events most correlated with long-term retention. Outputs are formatted as readable summaries for leadership and detailed breakdowns for product teams — all delivered automatically.
Process
Connect your data warehouse
Link Snowflake or BigQuery. AirOps needs a user events table with timestamps and a user identifier to build cohort tables.
Define your cohort parameters
Set your cohort grouping (signup month, acquisition channel, plan type) and the retention milestones to track (Day 7, Day 30, Day 90).
Identify your key activation events
Select the product events to correlate with retention — feature usage, integration setup, or any custom event in your warehouse.
Review the first cohort output
Validate the cohort tables and retention curves. Confirm the activation event correlations make sense before scheduling delivery.
Schedule recurring delivery
Set the delivery cadence and destination — weekly to a Slack channel, monthly to a Notion page, or both.
Key benefits
Publish 10,000+ pages from a single workflow run
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