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Quantium Customer Behaviour and Loyalty Registry
Retail & Consumer Behavior
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About
Customer purchase behaviour and demographic profiling within a retail context are captured in this dataset to support data analytics training. Originally developed for a virtual experience program, the records allow for the exploration of how different life stages and customer segments interact with loyalty schemes. By examining the relationship between loyalty card numbers and specific lifestyle categories, analysts can derive insights into retail trends and consumer habits. This information serves as a practical foundation for learning how to handle real-world business data ethically and effectively.
Columns
- LYLTY_CARD_NBR: A unique numerical identifier assigned to each customer participating in the loyalty program.
- LIFESTAGE: A categorical descriptor of the customer's current stage in life, identifying groups such as retirees, older singles, or couples.
- PREMIUM_CUSTOMER: A classification defining the customer's spending profile, categorised into three segments: Mainstream, Budget, or Premium.
Distribution
The information is provided in a single CSV file titled
PurchaseBehaviour.csv with a file size of 2.45 MB. It contains 72,600 valid records across 3 distinct columns. The data structure is highly consistent, featuring a 100% validity rate with no missing or mismatched entries reported across the primary fields. It is a static resource with an expected update frequency of never and holds a usability score of 10.00.Usage
This resource is ideal for practising customer segmentation and performing exploratory data analysis within a commercial context. It is specifically designed for use in virtual internship modules to teach students how to connect demographic data with purchase activity. Analysts can also use these records as a benchmark for developing predictive models regarding customer lifestages or for practicing data cleaning and preparation techniques.
Coverage
The scope includes 72,600 unique loyalty members segmented across seven distinct life stages. Major groups represented include retirees and older singles/couples, which each make up approximately 20% of the entries. The demographic segmentation further covers three unique customer types, with "Mainstream" customers representing the largest portion at 40%, followed by "Budget" customers at 34%.
License
CC0: Public Domain
Who Can Use It
Data analytics students and interns can utilise these records to complete virtual work experience modules and refine their technical skills. Business analysts may use the dataset to practice profiling high-value customer segments and understanding retail trends. Additionally, educators can leverage the data as a realistic case study for teaching the principles of retail analytics and consumer behaviour.
Dataset Name Suggestions
- Quantium Customer Behaviour and Loyalty Registry
- Retail Demographic Segmentation and Purchase Profiles
- Virtual Experience Program: Customer Lifestage Database
- Loyalty Card Member Demographic Distribution
Attributes
Original Data Source: Quantium Customer Behaviour and Loyalty Registry
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