Upload data, get rfm analysis results with interactive charts. Free.
or click to browse · max 3 MB
Running rfm customer segmentation analysis analysis...
Sent to — interactive charts, statistical results, R code, and AI insights.
Analyze another fileCustomer segmentation using Recency, Frequency, and Monetary analysis on retail transaction data.
Use this when you need rfm analysis on your data.
See related tools for alternatives.
Built for: Analyst, data scientist, business user
Typical data source: CSV with relevant columns
Data for rfm analysis
Minimum 10 rows · Best with 100-5000 rows
Segment customers using Recency, Frequency, and Monetary (RFM) analysis to identify high-value customers, at-risk churners, and growth opportunities using quintile-based scoring.
Customer segments by size and revenue contribution
Detailed RFM metrics for each customer segment
Customer distribution across Recency and Frequency scores
Distribution of Recency, Frequency, and Monetary values
Individual customers plotted by RFM scores, colored by segment
Cumulative revenue distribution (Pareto / Lorenz curve)
RFM metrics by customer country
Retention rates by acquisition cohort over time
Recommended marketing actions per segment
Distribution of order frequency across customers
Plain-English interpretation — what the numbers mean, what's significant, and what to do next.
See our FAQ for details on pricing, data privacy, and how the analysis works. Every report includes a Methodology section showing the statistical test, assumptions checked, and diagnostics run.
Run any analysis on your own data — 60+ validated R modules, interactive reports, AI insights, and PDF export.
Try Free — No Credit Card