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Nigerian Telecom Attrition and Revenue Simulation
Data Science and Analytics
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About
Explore the simulated behaviour, preferences, and churn patterns of MTN Nigeria customers during the first quarter of 2025. This dataset provides rich insight into critical business factors such as device usage, data plan selection, customer age demographics, tenure, revenue trends, and the underlying drivers of customer attrition. The material is essential for understanding customer dynamics in highly competitive telecom markets, inspired by real-world behaviour and pricing structures.
Columns
- Customer ID: A unique identifier assigned to each customer. This identifier may appear multiple times if a customer owns various devices.
- Full Name: The customer’s full name, balanced to reflect Nigerian regional and ethnic diversity.
- Date of Purchase: The specific month and year when a device or plan was acquired; all records are dated within 2025.
- Age: The customer’s age, ranging from 16 to 80 years old, with purchasing behaviour rules applied.
- State: The Nigerian state of residence for the customer, including the Federal Capital Territory (FCT).
- MTN Device: The specific device purchased, including Mobile SIM Card, Broadband MiFi, 4G Router, and 5G Broadband Router.
- Gender: Indicates the customer's gender (Male or Female).
- Satisfaction Rate: A numerical score reflecting customer satisfaction, ranging from 0 to 5.
- Customer Review: A categorical assessment of the customer experience: Poor, Fair, Good, Very Good, or Excellent.
- Customer Tenure in months: The duration, in months, for which the customer has maintained their subscription.
- Subscription Plan: The formal name of the MTN data plan purchased (e.g., 60GB Monthly Broadband Plan).
- Unit Price: The cost of the specific data plan, denominated in Nigerian Naira (₦).
- Data Usage: The estimated amount of data used in gigabytes (GB), reflecting usage behaviour and not necessarily constrained by the plan size.
- Number of Times Purchased: Simulates the customer consumption rate by indicating how many times the plan was purchased within the month.
- Total Revenue: The overall amount spent by the customer, calculated by multiplying the Unit Price by the Number of Times Purchased.
- Customer Churn Status: A binary field indicating whether the customer has churned (Yes) or remains active (No).
- Reasons for Churn: If the customer churned, this field specifies the reason (e.g., Poor Network, Relocation, High Call Tariffs); it is empty for active customers.
Distribution
The material contains 974 customer entries, structured across 17 distinct columns covering usage patterns and demographic information. The data is suitable for analytical use and usually supplied in a CSV file format.
Usage
This data is perfectly suited for machine learning applications, specifically training classification models for churn prediction. Analysts can utilise it to perform market segmentation, develop rich telecom customer personas, and carry out Exploratory Data Analysis (EDA). It is also excellent for building detailed dashboards using tools such as Excel, Tableau, or Power BI, and practising data wrangling and pivoting techniques.
Coverage
The geographic scope focuses entirely on Nigeria, encompassing various states and the FCT. The temporal scope covers the three-month period of Q1 2025. Demographic details include customer age (16-80) and gender, based on simulated behaviours.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
Intended users include data scientists looking to test and validate machine learning models on realistic data. Business strategists can use the insights for telecom business strategy analysis and understanding customer lifetime value. Data visualisers can build dashboards that track device sales and churn rates. Students and educators benefit from real-feeling synthetic data that respects privacy for educational assignments.
Dataset Name Suggestions
- MTN Nigeria Customer Churn & Usage Patterns Q1 2025
- Nigerian Telecom Attrition and Revenue Simulation
- Q1 2025 MTN Customer Behaviour Data
Attributes
Original Data Source: Nigerian Telecom Attrition and Revenue Simulation
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