A segmentation model that identifies which past customers are ready to buy again, and a system that reaches them before they forget you exist.
RFM modelling scores every past customer on how Recently, how Frequently, and how much they've spent, revealing exactly who's most likely to buy again. LTV segmentation then tells you who's worth investing extra effort in. Together they turn a static customer list into a prioritised, actionable list of who to re-engage first and how. This is the difference between hoping repeat business happens and engineering it.
Larger datasets and data spread across multiple systems require more preparation before segmentation.
Businesses selling multiple product types often need separate models per category.
Existing email or WhatsApp infrastructure speeds up automation; starting from scratch takes longer to set up.
Recency, Frequency, Monetary modelling scores customers on buying behaviour. It works for any business with a customer list of a few hundred or more, including most GCC SMEs.
The right approach depends on their RFM segment. A recently lapsed high-value customer needs a different message than someone who bought once, years ago. The model tells you which is which.
Yes. Spreadsheet data is a common starting point, and cleaning and structuring it is part of the engagement.