About

This canvas executes a comprehensive user retention analysis for Zerve, flowing from data loading through a predictive ML pipeline to actionable business insights. It builds a Random Forest model (trained on aggregated user metrics like deployments, credits consumed, and activity days) to predict user success, then layers on churn prediction, RFM-style segmentation (Champions, Engaged, At-Risk, Lost), a retention funnel, and an executive summary with visualizations and targeted recommendations to improve activation and deployment conversion.