An absent customer is easy to miss when you are busy serving the people in front of you. By the time somebody says, “We haven't seen her in ages,” the buying habit may already have moved elsewhere.
Start with the customer's usual rhythm. A fortnight without a visit could be unusual for a weekday coffee regular. It tells you very little about somebody who buys a large bag of beans every six weeks. Those are hypothetical patterns, not industry standards.
Find the customers worth contacting
RFM means recency, frequency and monetary value. In plain terms: when did they last buy, how often do they buy and how much do they spend?
Use a sensible observation period, such as the previous six months, and check for duplicate profiles, missing purchases and refunds. Someone who recently switched branches must not appear lost merely because the original branch stopped seeing them.
Build a few understandable groups. A regular now overdue needs a different approach from a person who tried you once. High spend also deserves context: one large gift order is not necessarily a recurring household purchase. Review sample records before trusting the group labels.
Give each group a relevant reason to return
For a hypothetical Pretoria café, a regular's message might mention a favourite product or a convenient quieter time. A customer who reported a poor experience needs a response from a person before receiving another sales pitch. Somebody who has only bought once may need help understanding the menu or ordering process.
Start with usefulness. Reserve an incentive for a group where the likely contribution can support it. A message such as “Your usual is ready when you are” can be warm without pretending the business knows why somebody stayed away.
Use only customers eligible for the proposed marketing channel. Limit reminders and stop the sequence when someone returns, objects or has an unresolved service issue.
Measure a return you might not otherwise have earned
Here is a hypothetical test. Randomly divide 200 similar eligible inactive customers into equal groups. Contact 100 and leave 100 without that campaign. Over the same period, 18 contacted customers and 10 control customers return.
The observed difference is eight percentage points, or eight additional returning customers in the contacted group. Small samples are noisy. Treat this as an early signal and repeat the test rather than declaring a universal success rate.
Next subtract the campaign's costs from the additional contribution. Twenty voucher redemptions can still be poor value if most recipients would have returned anyway.
Futhi advertises RFM profiles, segmentation and automated messaging. [F02] Before configuring a campaign, agree how your transactions reach the system and how a completed purchase stops follow-ups. Ask Futhi to map one group first. A thoughtful return journey starts with a useful question: overdue compared with what?
Sources & further reading
- Futhi business offeringUndated draft website; read 28 September 2026; advertised capabilities, not an account level test
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