Predicting Customer Churn

Stop Revenue Leakage with Proactive Insights

Discover how we helped a music streaming service predict customer churn with precision using advanced machine learning.

Key outcomes:

• Built 10 base models and a two-layer ensemble model

• Achieved 96% Accuracy and 86.5% F1-Score

• Identified transactional behavior as the strongest churn predictor

The result? Actionable insights that helped reduce churn, lower acquisition costs, and boost long-term customer loyalty.

Read the Full Case Study: Predicting Customer Churn Download the PDF: Predicting Customer Churn