Telco Customer Churn

Likelihood of Telco Customer Churn

Predicting the behavior of customers retention Using Customer Behavior Data. A telecommunications company is concerned about the number of customers leaving their landline business for cable competitors. They need to understand who is leaving and why. (https://www.ibm.com/communities/analytics/watson-analytics-blog/predictive-insights-in-the-telco-customer-churn-data-set/)

Phase one of this analysis aims to examine the different relationships several factors have in predicting the probability of a churner using provided data. Analysis of the data will lead to formualting a logistic regression model to predict the probability of a churner given a combination of several factors. It was found that many variables contributed to churn of the customer including: demographic information of having dependents and partners, service account informations like having phone service, internet service, using online services like security, backup, paperless billing, device protection, tech support also account informations like contract, payment methods. These factors are suggested to contribute to the to the likelihood of churning of the customer from the business.