Customer churn, also known as customer attrition or customer turnover, refers to the rate at which customers discontinue or stop using the products or services of a business. It represents the loss of customers over a specific period of time. Churn can occur for various reasons, such as customer dissatisfaction, competitive offers, changes in customer needs, or poor customer experiences. When customers churn, it negatively impacts a business's revenue, profitability, and market share. Therefore, managing and reducing customer churn is a critical objective for many businesses.

The particular data set includes information about customers who left within the last month – the column is called Churn Services that each customer has signed up for – phone, multiple lines, internet, online security, online backup, device protection, tech support, and streaming TV and movies Customer account information – how long they’ve been a customer, contract, payment method, paperless billing, monthly charges, and total charges Demographic info about customers – gender, age range, and if they have partners and dependents Inspiration To explore this type of models and learn more about the subject.

Goals: "Predict behavior to retain customers. You can analyze all relevant customer data and develop focused customer retention programs." [IBM Sample Data Sets]

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