Develop Machine Learning Models to Predict Customer Lifetime Value for Banking Customers, Helping Banks Optimize Services

Abstract

Machine learning algorithms are useful in obtaining suitable data related to customer lifetime value for the banking professionals. The banking officials utilise the Customer lifetime value for fostering suitable business strategies to enhance customer satisfaction in this competitive market. This present study includes knowledge regarding machine learning model inclusion to predict customer lifetime values in taking services as well as analysing customer motivation for a banking sector. The inclusion of ML is also effective in handling customer insight in managing business profitability in managing overall business operational activity maintenance. This research has summarised the importance of machine learning models in predicting CLV to Mint and business performance of banks.