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Solution Accelerator

Recency, Frequency and Monetary (RFM) Segmentation

Pre-built code, sample data and step-by-step instructions ready to go in a Databricks notebook

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Activate first-party data to segment audiences and personalize customer engagement

RFM segmentation is a vital strategy for retail brands seeking to enhance customer engagement — providing insights to segment customers into distinct groups based on Recency, Frequency and Monetary value. With the Databricks Lakehouse, organizations can:

  • Calculate RFM value metrics to organize customers into value-aligned groups
  • Connect audiences with appropriate messages across various external channels
  • Leverage the Census Data Activation platform to build a 360-degree view of their customers
Download notebook

Resources

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Blog

Retail Personalization With RFM Segmentation and the Composable CDP

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Blog

Estimating Customer Lifetime Value on the Lakehouse

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Workshop

Building the Composable CDP: Resolving Customer Identities

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