Customer Retention

Customer retention research focuses on understanding and predicting customer churn to optimize business strategies and maximize profitability. Current efforts concentrate on developing advanced machine learning models, including tree-boosting algorithms, neural networks (especially those incorporating self-attention mechanisms), and reinforcement learning approaches, to improve prediction accuracy and personalize interventions. These advancements are significant because they enable more effective resource allocation, targeted marketing campaigns, and ultimately, stronger customer relationships, impacting various sectors from telecommunications to e-commerce. The field also emphasizes explainable AI techniques to enhance the interpretability of predictive models and inform data-driven decision-making.