An Analysis of Customer Churn Prediction in Different Business Industries

: In this article, the currently deployed forecasting techniques are reviewed. Churn is widely used for areas such as web services, gaming and insurance. However, since it is vastly used to improve predictability in various industries, there is a great deal of variation in its definition and usage. This paper categorises the traditional methods of machine learning and deep learning, presents a number of papers related to these two technologies, and discusses and analyses the papers in order to provide more academics with a clear understanding of how these two technologies are used in different industries. The paper brings together definitions of froth in the following areas as business management, Information and communication technology (ICT) and newspaper industry, and explains the differences between them. On the basis of this, churn loss, attribute engineering and predictive modelling are categorised and explained. This study can be conducted by debris integration studies in industrial domains and selecting churn definitions and relevant models suitable for most interest to researchers.