Datasets:
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license: cc-by-4.0
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license: cc-by-4.0
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---
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Customer churn prediction dataset of a fictional telecommunication company made by IBM Sample Datasets.
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Context
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Predict behavior to retain customers. You can analyze all relevant customer data and develop focused customer retention programs.
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Content
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Each row represents a customer, each column contains customer’s attributes described on the column metadata.
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The data set includes information about:
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- Customers who left within the last month: the column is called Churn
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- 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
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- Customer account information: how long they’ve been a customer, contract, payment method, paperless billing, monthly charges, and total charges
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- Demographic info about customers: gender, age range, and if they have partners and dependents
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Credits for the dataset and the card:
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- [Kaggle](https://www.kaggle.com/datasets/blastchar/telco-customer-churn)
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- [Latest version of the dataset by IBM Samples team](https://community.ibm.com/community/user/businessanalytics/blogs/steven-macko/2019/07/11/telco-customer-churn-1113)
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