Churn Prediction Model of Telecom Industry

Mobile technology is included in computing, which is one of the top global trends in technology. There are many different types of private service providers now, thus new, creative business models are necessary to succeed in the present environment. To expand their base of revenue-generating clients, telco businesses must both draw in new ones and prevent contract terminations (=churn). The single biggest reason for income decreasing for telecom providers is telecom churn. Customers’ demographic and behavioral data have been used in both industrial practice and active research to predict churners. Consumers in the telecom industry can actively move between operators and have access to a wide range of service providers. Clients may choose to end a contract for a number of reasons, such as better pricing offers, more alluring packages, unpleasant service encounters, or modifications in their personal circumstances. We will look at customer-level data from a leading telecom business in this study, create prediction models to figure out consumers who are most likely to churn and determine the key churn signals.