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Telecommunications Demographic Risk and Retention Database
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About
Analysing customer retention patterns within the Californian telecommunications sector provides a foundation for reducing churn and improving business growth. These records capture the demographic profiles of over 7,000 customers across 1,106 cities in California following the acquisition of TELCO. By examining factors such as age, marital status, and household dependencies, the data enables a move away from anecdotal evidence toward factual, data-driven insights regarding why clients might leave a service. Understanding these nuances is vital for identifying high-risk segments—such as those on month-to-month contracts or senior citizens—and prioritising retention efforts for high-value accounts.
Columns
- Customer ID: A unique identifier assigned to each individual client.
- Count: A numerical value used for summarising the total number of customers within filtered report views.
- Gender: The recorded sex of the customer, including Male, Female, and other categories.
- Age: The current age of the customer in years at the conclusion of the fiscal quarter.
- Under 30: A boolean indicator specifying if the customer is younger than 30 years old.
- Senior Citizen: A boolean indicator specifying if the customer is aged 65 or older.
- Married: Indicates the marital status of the client.
- Dependents: A boolean field indicating whether the customer lives with dependents, such as children or elderly parents.
- Number of Dependents: The specific count of dependents residing in the customer's household.
Distribution
The data is delivered in a CSV format titled
Telco_customer_churn_demographics.csv with a file size of 263.2 kB. It consists of 7,043 unique records across 9 distinct columns. The resource maintains a 100% validity rate for all entries and holds a usability score of 10.00.Usage
This resource is ideal for conducting churn analysis and developing customer retention strategies. Analysts can utilise the demographic markers to segment the customer base and test hypotheses regarding competitive pressures in specific regions like San Diego. It also serves as a robust dataset for training machine learning models to identify "at-risk" customers based on their profile and tenure, allowing businesses to prioritise outreach to high-value individuals.
Coverage
The geographic scope is specific to the state of California, United States, covering 1,106 distinct cities. Temporally, the data represents a snapshot of the customer base at the end of a fiscal quarter. The demographic focus is broad, encompassing various age groups (from 19 to 119 years), household sizes, and life stages.
License
CC0: Public Domain
Who Can Use It
Data analysts and business intelligence professionals can leverage these metrics to build visualisations in tools like Power BI or perform deep-dive SQL queries in environments like BigQuery. Marketing strategists and Chief Growth Officers can use the segmented profiles to design targeted promotional campaigns aimed at reducing attrition. Additionally, students and beginner data scientists can use this well-structured collection to practice data cleaning and predictive modelling.
Dataset Name Suggestions
- California TELCO Customer Demographics and Churn Profile
- Telecom Customer Retention and Demographic Insight Registry
- TELCO California: Strategic Churn Analysis Data
- Telecommunications Demographic Risk and Retention Database
Attributes
Original Data Source: Telecommunications Demographic Risk and Retention Database
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