User Behavior & Retention Tracking
Cohort Retention Analytics Dashboard
Cohort analysis dashboard tracking user retention patterns, engagement trends, and behavioral segments for product optimization.
SQLPythonApache SupersetRedash
12+
Cohorts
5+
Segments
Superset
Tool
Problem Statement
Product team couldn't identify which user cohorts retained best or understand behavioral drivers of long-term engagement.
Architecture
SQL cohort calculation queries feeding Superset heatmap visualizations with Python-based behavioral segmentation layer.
Database
ClickHouse with user event and session data for cohort calculations.
Solution
Built cohort retention dashboards with weekly/monthly cohort tracking, behavioral segmentation, and trend analysis.
Key Queries
- Weekly/monthly cohort retention queries
- User behavioral segmentation queries
- Engagement trend analysis queries
Dashboards Built
- Cohort retention heatmap
- Behavioral segment comparison
- Engagement trend dashboard
Business Insights
Identified highest-retention user segments
Revealed critical retention drop-off windows
Enabled targeted retention campaigns
Challenges
- Computing cohorts on large event datasets
- Defining meaningful behavioral segments
- Visualizing multi-dimensional retention data
Future Scope
- Predictive retention scoring
- Automated retention alerts
- Campaign impact measurement
Features
Cohort retention heatmapsBehavioral segmentationTrend analysis viewsSegment comparison tools