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.
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.
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.
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.
The Dataiku Solution for RFM Segmentation helps answer a broad range of questions like:
Segmentation is just a starting point. Spin up your RFM Segmentation Solution in a matter of clicks through a Dataiku Application, and easily extend beyond, integrating segments in Dataiku CLV Forecasting and building more use cases quickly to maximize marketing impact.
A composite organization in the commissioned study conducted by Forrester Consulting on behalf of Dataiku saw the following benefits:
reduction in time spent on data analysis, extraction, and preparation.
reduction in time spent on model lifecycle activities (training, deployment, and monitoring).
return on investment
net present value over three years.