Project Abstract

Abstract
Predictive modeling for customer churn is a critical aspect of business strategy in the insurance industry. This research project aims to explore the application of predictive modeling techniques to analyze and predict customer churn in insurance companies. The study will focus on understanding the factors that contribute to customer churn in the insurance sector and developing predictive models to identify customers at risk of churning. By leveraging historical data and advanced analytical tools, the research aims to provide valuable insights into customer behavior and preferences, enabling insurance companies to proactively address customer retention challenges. The research will be divided into five main chapters. Chapter 1 will provide an introduction to the research topic, including the background of the study, problem statement, objectives, limitations, scope, significance, structure of the research, and definition of terms. Chapter 2 will consist of a comprehensive literature review covering ten key aspects related to customer churn, predictive modeling, and insurance industry trends. Chapter 3 will detail the research methodology, including the research design, data collection methods, sampling techniques, data analysis tools, and ethical considerations. In Chapter 4, the research findings will be discussed in detail, analyzing the predictive modeling results and their implications for customer churn management in insurance companies. The chapter will cover seven key findings and provide insights into the effectiveness of predictive modeling in identifying customers at risk of churn. Moreover, it will discuss the practical implications of the findings for insurance companies looking to improve customer retention strategies. Chapter 5 will present the conclusion and summary of the research project, highlighting the key findings, implications, limitations, and recommendations for future research. The conclusion will emphasize the importance of predictive modeling for customer churn management in insurance companies and provide practical insights for industry practitioners to enhance customer retention efforts. Overall, this research project aims to contribute to the existing body of knowledge on customer churn prediction in the insurance sector and offer valuable insights for industry professionals seeking to optimize customer retention strategies.

Project Overview