A Bibliometric Systematic Literature Review on Machine Learning Methods for Predicting Customer Churn

Key Points

• This review aims to analyze and summarize the literature on machine learning methods used for predicting customer churn.
• Conducted a bibliometric analysis of existing literature
• Identified trends in machine learning applications for customer churn
• Reviewed various methodologies and predictive algorithms
• Outlined the most commonly used machine learning techniques
• Identified gaps in the current literature
• Highlighted emerging trends and future research directions