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Customer Retention for Internet Services
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About
This dataset is designed to address the significant competition among Internet service providers. For providers to increase revenue, retaining existing customers is as vital as acquiring new ones. The dataset's primary purpose is to help identify customers who are likely to cancel their service, a phenomenon known as churn. By understanding which customers are at risk of churning, providers can proactively intervene, perhaps by offering promotions, to improve customer retention. It contains collected data on internet service users, labelled to indicate whether a customer has churned.
Columns
- id: A unique identifier for each subscriber.
- is_tv_subscriber: Indicates whether the customer has a television subscription.
- is_movie_package_subscriber: Indicates whether the customer has a cinema movie package subscription.
- subscription_age: Represents the duration, in years, for which the customer has used the service.
- bill_avg: The average bill amount for the last three months.
- reamining_contract: The number of years remaining on a customer's contract. If this is null, the customer does not have a contract. Customers with a contract are typically subject to a penalty fee if they cancel their service before the contract ends.
- service_failure_count: The number of times the customer has contacted the call centre for service failures over the last three months.
- download_avg: The average internet download usage in Gigabytes (GB) over the last three months.
- upload_avg: The average internet upload usage in Gigabytes (GB) over the last three months.
- download_over_limit: Counts how many times a customer exceeded their download limit over the last nine months. Most customers have a download limit, and exceeding it incurs additional charges.
- churn: This is the target column, where a value of '1' signifies that the customer has cancelled their service.
Distribution
The data file is typically provided in a CSV format, with a sample file updated separately to the platform. The dataset
internet_service_churn.csv has a size of 2.68 MB and contains 11 columns. Many columns consist of 72.3k valid records, while some columns like download_avg and upload_avg have 71.9k valid records, and reamining_contract has 50.7k valid records. The exact number of rows/records for the entire dataset is not explicitly stated as a single total, but column-level valid counts are provided.Usage
This dataset is ideal for developing churn prediction models and for forecasting the probability of customer churn. It can be used by internet service providers to identify and target at-risk customers with retention strategies, such as tailored promotions, to mitigate customer loss and safeguard revenue.
Coverage
The dataset focuses on customer behaviour related to internet service subscriptions. Specific geographic or demographic scope is not detailed within the provided information. Data availability for certain groups or years is not specified beyond the observed valid record counts for individual columns.
License
CC0: Public Domain
Who Can Use It
This dataset is valuable for:
- Internet Service Providers: To understand customer churn patterns and implement retention strategies.
- Data Scientists and Machine Learning Engineers: To build and refine predictive models for customer attrition.
- Business Analysts: To gain insights into customer loyalty and the factors influencing service cancellation.
- Marketing and Strategy Teams: To develop targeted campaigns aimed at retaining existing subscribers.
Dataset Name Suggestions
- Internet Service Provider Customer Churn Prediction
- ISP Subscriber Churn Analysis
- Customer Retention for Internet Services
- Telecom Customer Attrition Dataset
- Broadband Subscriber Churn Insights
Attributes
Original Data Source: Customer Retention for Internet Services
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