Churn Prediction

Churn prediction, the forecasting of customer attrition, aims to identify individuals likely to discontinue services, enabling proactive retention strategies. Current research emphasizes improving prediction accuracy through advanced ensemble methods, deep learning architectures (including recurrent neural networks and transformers), and causal inference techniques to understand the underlying drivers of churn. This field is significant for businesses across various sectors, offering the potential for substantial cost savings and improved customer lifetime value through targeted interventions, while also advancing the development and application of machine learning models for time-series data and causal analysis.