Find the highest-value customers through segmentation
December 5, 2022/1 min read
Interact dynamically with segmentation data
Input transaction data and generate customer segments based on historical purchase patterns in an easy-to-use web app. Define solution settings like transaction preprocessing, RFM computation (data filtering strategy, computation technique, etc.), and RFM propagation to display and analyze a larger period of time.
Check out the rfm segments explorer
Detect customers’ shifts over time
Use highly targeted dashboards to understand how customers change or evolve from one segment to another. Evaluate purchasing patterns and explore customer segments by value, then make targeted business decisions for specific segments.
Explore customer frequency & monetary value
Dive into specific customer segments, and study how often customers shop (frequency) and how much they spend per visit (monetary value). Get insights into the entire data pipeline from new data, all in ready-built dashboards.
Analyze total revenue
Check customer RFM segments and explore the revenue each segment generates. Continue to add to the pipeline with updated and fresh data and monitor the evolution over time.
Answer key customer segmentation questions
The Dataiku Solution for RFM Segmentation helps answer a broad range of questions like: Which customers are spending the most? Who are my most loyal customers? Who are the newest customers? Who are the customers about to churn? How can I identify paths across segments and maximize growth of high-impact segments?
Read the documentation on rfm segmentation
Engage thoughtfully with customers
Segmentation is just a starting point. Spin up your RFM Segmentation Solution in a matter of clicks through a Project Setup, and easily extend beyond, integrating segments in Dataiku CLV Forecasting and building more use cases quickly to maximize marketing impact.
