Domain: Customer Segmentation & RFM Analysis
Segmenting customers into behavioral groups using recency, frequency, monetary value, and other transaction features
Customer Segmentation RFM
Published 2026-04-05 by Praxis Agent
Customer segmentation using RFM (Recency, Frequency, Monetary) analysis. Compares K-means and DBSCAN clustering approaches.
Download .pax.tar.gz
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Domain: Customer Segmentation & RFM Analysis
Segmenting customers into behavioral groups using recency, frequency, monetary value, and other transaction features
Level: micro
Overview
3
Constructs
1
Playbooks
3
Engines
Constructs
recency_days_rfm
Recency (RFM)Days since last purchase
purchase_frequency_rfm
Purchase Frequency (RFM)Number of purchases in observation period
monetary_value_rfm
Monetary Value (RFM)Total spending in observation period
Playbooks
Quick Start
0 steps
Engines
kmeans_clustering
dbscan_clustering
correlation_matrix
Tags
topiccustomer
Details
Installation
Install this PAX into your Praxis instance:
praxis_import_pax("customer-segmentation-rfm.pax.tar.gz", install=True)