Dynamic Churn Prediction using Machine Learning Algorithms – Predict your customer through customer behaviour

Abstract: In today's business landscape, customers are increasingly drawn to the quality of service (QoS) offered by organizations. However, the current era is marked by intense competition in delivering technologically advanced QoS to customers. Nevertheless, implementing efficient customer relationship management (CRM) systems can provide several advantages for organizations. These include acquiring more customers, fostering strong customer relationships, and enhancing customer retention, ultimately leading to increased profitability for the business. Additionally, integrating machine learning models such as support vector machine algorithms can further enhance customer retention strategies. Keywords-customer relationship management, customer retention, machine learning, support vector algorithm