user-segmentation

User segmentation clusters users into distinct groups based on engagement level, feature usage, and value signals. Use SQL templates to analyze behavioral patterns across your user base and create actionable cohorts for targeted interventions and personalization.

Multi-dimensional segmentation combines engagement metrics, feature adoption, and value indicators to distinguish user types. SQL-based templates compute segment distributions and persona definitions, enabling you to prioritize retention and growth efforts by cohort.

Yes. The Skill provides SQL templates and metrics pipelines that compute segment definitions and track segment migration across time periods, allowing you to monitor cohort stability and identify users transitioning between segments.

Segment analysis reveals which features drive engagement and value within specific cohorts. By analyzing feature usage across segments, you can prioritize improvements that address the highest-impact user groups and their distinct behavioral patterns.

User segmentation requires behavioral data across engagement level, feature usage, and value signals. The Skill includes raw metrics queries to extract and structure this multi-dimensional data for segment computation and persona definition.