About

This canvas performs a comprehensive user retention and activation analysis on 4,774 users, building features from raw events (credits, sessions, agent tool usage, time-to-deployment) to train a Random Forest classifier and identify that agent tool adoption is the strongest predictor of long-term retention (0.89 correlation with credits), ultimately recommending the "Zerve Catalyst" program to drive agent adoption from 8% to 25-40% through guided onboarding and unlock projected annual revenue increases of $120K-$240K.