| CustomerID |
Unique customer identifier |
Categorical |
CUST\d{3} |
| Age |
Age of the customer in years |
Numerical |
\d{1,3} |
| Gender |
Gender of the customer |
Categorical |
Male, Female, Other |
| Income (Monthly) |
Monthly income of the customer |
Numerical |
\d+(\.\d+)? |
| Location |
Customer's city location |
Categorical |
Berlin, Hamburg, Cologne, Frankfurt |
| Purchase Frequency |
Number of purchases in a period |
Numerical |
\d+ |
| Avg. Transaction Value |
Average value per transaction |
Numerical |
\d+(\.\d+)? |
| Loyalty Program Member |
Whether the customer is in loyalty program |
Categorical |
Yes, No |
| Tenure (Months) |
How long they've been a customer (in months) |
Numerical |
\d+ |
| Last Purchase Date |
Date of the last purchase |
Date |
\d{4}-\d{2}-\d{2} yyyy-mm-dd |
| Total Spend (6M) |
Total spending in last 6 months |
Numerical |
\d+(\.\d+)? |
| Visit Recency (Days) |
Days since last visit |
Numerical |
\d+ |
| Preferred Category |
Product category most often purchased |
Categorical |
Grocery, Home, Beauty, Electronics |
| Engagement Score |
Score representing user interaction |
Numerical |
\d+(\.\d+)? |
| Value Score |
Score indicating customer value |
Numerical |
\d+(\.\d+)? |
| Retention Risk Score |
Score estimating likelihood of customer churn |
Numerical |
\d+(\.\d+)? |
| Overall Customer Index |
Composite score for customer performance |
Numerical |
\d+(\.\d+)? |
