Robust Churn Retention for Mature E-commerce Customers: A Noise-Resilient Framework with Survival-Based Intervention Timing
Current churn prediction research mainly emphasizes static accuracy on curated datasets, and they often overlook label noise arising from heuristic CRM rules, uncontrollable user attrition, and suboptimal retention timing. This study proposes a robust two-stage retention framework targeting e-commerce users with tenure...