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📊 Survey & Market Research

Free RFM Customer Value Assessment Template

Score customers on recency, frequency and monetary value using the classic RFM method, and get an AI report ranking segments from champions to lapsed.

3 axes
RFM model
AI PDF Report
Live Preview

Quick answer

Score customers on recency, frequency and monetary value using the classic RFM method, and get an AI report ranking segments from champions to lapsed.

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About this template

RFM — recency, frequency, monetary value — remains the cheapest useful segmentation model in customer analytics. This assessment walks a customer cohort or account book through the three axes with weighted scoring, then the AI PDF report ranks each into the classic RFM segments — champions, loyal, at-risk, lapsed — with the standard play for each.

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Live Preview

Live form and AI report preview — fill it in and the report is generated from your answers.

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Fill it in to see how responses flow.
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Sample AI report with scoring visuals and recommendations, printable as a PDF.
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What's Included

Everything you need to run this template.

1

Recency scoring

How recently active.

2

Frequency scoring

How often they engage.

3

Monetary scoring

What that activity is worth.

4

Segment ranking

Champions to lapsed, per subject.

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How It Works

From copy to deliverable in four steps.

1

Use this template

Copy the RFM assessment into your FormLM workspace — free.

2

Anchor scores in data

Answer each axis with real figures.

3

Score per subject

One run per customer or account.

4

Read the segment plays

The report ranks and recommends.

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Who Is This For

Pick your role — see how it fits your workflow.

1

Retail and ecommerce teams

Rank the customer base in an afternoon.

2

Subscription and membership

Find lapsing members by recency drift.

3

Agencies reporting upward

Give clients a defensible tiering.

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Key Features

What makes this template work as a professional deliverable.

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Sample Questions Inside

A preview of real questions — the full version adds scoring and a personalized report per respondent.

  1. Our customers have made purchases from us very recently (1-5)
  2. Most of our active clients have interacted with us within the last 30 days (1-5)
  3. We can easily reach our customers with timely, relevant offers (1-5)
  4. Our customer base shows clear signs of recent behavioral activity (1-5)
  5. Our customers purchase from us on a regular, repeating basis (1-5)
  6. Clients return to us multiple times within a typical business cycle (1-5)
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Frequently Asked Questions

Do I need a data warehouse for RFM?
No — the model runs on three numbers per customer; this assessment structures exactly those, in bands, for manual or light-data settings.
What band cutoffs should be used?
Quantile-style: split the book into fifths on each axis, or use category rhythms (monthly service means different recency bands than annual contracts).
How does the report reach segments?
The three axis scores combine into the classic cells — high-high-high is champion; high monetary with low recency is the save case.
Is RFM outdated next to ML churn models?
It answers a different question cheaply: who is valuable right now. Most ML projects start by hand, and this is that hand.
Can it score B2B accounts?
Yes — monetary becomes contract value and frequency becomes engagement events; keep bands honest to the sales cycle.
Is it free per cohort?
Yes — copy per cohort, tier or review period.

Rank customers the classic way

Score recency, frequency and value — get the segment plays — free.