Description Format Details Source
Data on 60 customers at a clothing retailer
A data frame with 60 observations on the following 8 variables.
ID | Case ID |
Amount | Net dollar amount spent by customers in their latest purchase from this retailer |
Recency | Number of months since the last purchase |
Freq12 | Number of purchases in the last 12 months |
Dollar12 | Dollar amount of purchases in the last 12 months |
Freq24 | Number of purchases in the last 24 months |
Dollar24 | Dollar amount of purchases in the last 24 months |
Card | 1 for customers who have a private-label credit card with the retailer, 0 if not |
This dataset represents a random sample of 60 customers from a large clothing retailer. The manager of the store is interested in predicting how much a customer will spend on his or her next purchase based on one or more of the available explanatory variables.
Personal communication with David Cameron who completed a more extensive consulting project for the retailer.
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