Use a customer’s own baseline

A three-week gap means different things for a daily café customer and an occasional retail shopper. Compare a person with their established routine before labelling them at risk.

Keep the explanation visible

An owner needs to know why a customer is flagged. Useful reasons include a widening gap, a missed usual day or a sustained spend change. Each is a signal to review, not a diagnosis.

Check what the records miss

Missing bills, different phone numbers and seasonal demand can distort a pattern. Review data quality and give operators a way to correct a profile before automating an action.

Put the idea into practice.

Try the related workflow