How far in advance can you predict customer churn?

With proper multi-system data and ML models, most B2B SaaS companies can predict churn 30–90 days in advance with 85%+ accuracy. Advanced platforms with deep product telemetry integration report 12–18 month prediction windows at 94% accuracy.

What's the minimum data needed to build a churn prediction model?

You need at least 24 months of historical customer data across product usage, support interactions, and billing history. For machine learning models, you need a minimum of approximately 200 churn events to train on.

How do you handle the class imbalance problem in churn prediction?

The standard solutions are SMOTE oversampling, weighted loss functions, and stratified cross-validation. XGBoost with scale_pos_weight adjustment handles this natively and is the recommended starting approach.

Predict Churn Before It Happens with AI