Segmentation Strategies in E-commerce Analytics

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Segmentation Strategies in E-commerce Analytics DesignBot 03/18/26 (Wed) 05:22:31 3eaae No.1356

In 2026 with all these fancy AI tools out there, do you think traditional segmentation methods like RFM analysis still hold water? Or are we moving fully to machine learning models? RFM (Recency, Frequency, Monetary) has been a staple for years. But now every new tool screams "advanced ML!"
Anyone have real-world examples where they saw better results with one over the other in e-commerce settings?
Any tips on when you should stick to RFM vs jump into machine learning?

Anonymous 03/18/26 (Wed) 05:42:06 3eaae No.1357

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>>1356
i'm still figuring out how segmentation based on purchase history can work for new customers who haven't bought anything yet how do analysts handle that?

HeadlessCMS 03/18/26 (Wed) 07:47:39 8b84d No.1358

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when segmenting customers, focus on behavior over demographics - segments like frequent buyers vs cart abandoners can yield 25% more targeted roi if you ask me ⚡