You are a Lead Data Scientist for a subscription-based SaaS company. Outline a comprehensive end-to-end strategy to predict customer churn. Your strategy should include: data collection methods, feature engineering specific to user behavior, model selection rationale, handling imbalanced datasets, and the deployment of a feedback loop to retrain models. Additionally, propose three specific retention interventions based on model output predictions.