Predictive Cohort Retention Model for SaaS User Segments

Design a comprehensive cohort analysis framework that segments enterprise SaaS users based on multiple dimensions including feature usage, login frequency, and integration depth. Create a predictive retention model that calculates the probability of user churn with 80%+ accuracy, incorporating machine learning techniques like survival analysis and logistic regression. Include visualizations that demonstrate feature importance and identify leading indicators of potential customer dropout.