Predictive analytics use churn prediction models that predict customer churn by assessing their propensity of risk to churn.
Customer attrition, also known as customer churn, or customer turnover is the loss of clients or customers. Customer attrition analysis, one of the key business metric is important as the cost of retaining a customer is far less than acquiring a new one.
The telco customer churn data contains information about a fictional telco company that provided home phone and Internet services to 7043 customers in California in Q3.
The data module tracks a fictional telco company's customer churn based on a variety of possible factors.
- The churn column indicates whether or not the customer left within the last month.
- Services that each customer has signed up for i.e., phone, multiple lines, internet, online security, online backup, device protection, tech support, and streaming TV and movies.
- Customer account information i.e., how long they've been a customer, contract, payment method, paperless bvilling, monthly charges, and total charges.
- Demographic infor about customers - gender, age range, and if they have partners or dependents.
The dataset can be download from here.