SaaS User Retention Predictive Model Architecture

Design a comprehensive predictive analytics framework for forecasting user retention in a multi-tier SaaS platform. Develop a modular pipeline that integrates feature engineering, machine learning model selection, and real-time scoring mechanisms. Include specific considerations for handling time-series user behavior data, addressing class imbalance, and creating interpretable model outputs that product managers can utilize for strategic decision-making.