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Retail Customer Spending Behaviour
Retail & Consumer Behavior
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About
Contains information about mall customers, including their annual income and spending scores. This data is primarily intended for learning and demonstrating customer segmentation concepts, particularly through unsupervised machine learning techniques like K-Means clustering. It can be used to identify target customer groups for marketing strategies.
Columns
- CustomerID: A unique identification number assigned to each individual customer.
- Gender: The gender of the customer, recorded as either Male or Female.
- Age: The age of the customer.
- Annual Income (k$): The customer's annual income in thousands of dollars.
- Spending Score (1-100): A score from 1 to 100 assigned by the mall, reflecting customer behaviour and spending habits.
Distribution
The dataset is provided in a CSV file named
Mall_Customers.csv, with a size of approximately 3.98 kB. It contains 200 records across 5 columns.Usage
Ideal applications for this dataset include customer segmentation analysis, developing targeted marketing campaigns, and learning unsupervised machine learning algorithms such as K-Means clustering. It can help businesses understand customer behaviour and spending patterns.
Coverage
The dataset provides demographic information such as gender and age for 200 mall customers. It includes financial details like annual income and a mall-assigned spending score. The geographic and specific time-range coverage are not specified.
License
CC0: Public Domain
Who Can Use It
- Data Scientists & Analysts: To practise and demonstrate customer segmentation models.
- Marketing Professionals: To understand different customer archetypes and inform marketing strategies.
- Students & Educators: As a practical tool for teaching machine learning and data analysis concepts.
- Retail Businesses: To gain insights into customer profiling for targeted promotions.
Dataset Name Suggestions
- Mall Customer Segmentation Data
- Retail Customer Spending Behaviour
- Customer Income and Spending Score Analysis
- Mall Shopper Profiles
Attributes
Original Data Source: Retail Customer Spending Behaviour
QUALITY