# RFM-Model

### What is the RFM-Model?

<table data-full-width="true"><thead><tr><th width="254">Customer segment</th><th width="92" align="center">R</th><th width="85" align="center">F&#x26;M</th><th>Definition</th></tr></thead><tbody><tr><td>Champion ♥︎</td><td align="center">4-5</td><td align="center">4-5</td><td>Customers with the highest potential value and strong engagement.</td></tr><tr><td>Loyalist ☻</td><td align="center">2-5</td><td align="center">3-5</td><td>Customers who have a strong relationship with the brand and make regular purchases.</td></tr><tr><td>Potential Loyalist [☺︎]</td><td align="center">3-5</td><td align="center">1-3</td><td>Customers who have the potential to become loyal but need more nurturing.</td></tr><tr><td>New ⊕</td><td align="center">4-5</td><td align="center">0-1</td><td>Customers who are new to the brand and have made their first purchase.</td></tr><tr><td>Need Attention ‼</td><td align="center">2-3</td><td align="center">2-3</td><td>Customers who are showing signs of disengagement and need attention.</td></tr><tr><td>At Risk ☹︎</td><td align="center">0-2</td><td align="center">2-5</td><td>Customers who are at risk of churning and need immediate attention.</td></tr><tr><td>Hibernating ☾</td><td align="center">1-2</td><td align="center">1-2</td><td>Customers who have not made a purchase in a long time.</td></tr><tr><td>Lost ⊖</td><td align="center">0-2</td><td align="center">0-2</td><td>Customers who have churned and are no longer active.</td></tr></tbody></table>

### What does RFM mean?

R → Recency : When was the last time a customer has purchased a product from your brand

F → Frequency : The numbers of times a customer has made a purchase.

M → Monetary Value : The total amount of money a customer has spent on your products or services.

### **How does it work?**

1. **Assign Scores:** You give each customer a score for each of the RFM factors (Recency, Frequency, Monetary). Usually, you divide your customers into groups (e.g., top 20%, next 20%, etc.) and assign scores from high to low (e.g., 5 for the top group, 1 for the bottom group).
2. **Combine Scores:** You combine the individual RFM scores to create an overall RFM score or segment. For example, a customer with a recency score of 5, a frequency score of 4, and a monetary score of 5 might be in your "Champions" segment.
3. **Create Segments:** Based on the combined scores, you create customer segments. Here are some common segments:
   * **Champion** ♥&#xFE0E;**:** High scores in all three categories. These are your best customers.
   * **Loyalist** ☻: High frequency and monetary scores, but their recency might be a little lower.
   * **Potential** **Loyalist** \[☺︎]: High recency and frequency scores, but their monetary value might be lower.
   * **New** ⊕: High recency score, but frequency and monetary scores might be lower
   * **Need** **Attention** ‼:&#x20;
   * **At** **Risk** ☹︎: High monetary value, but their recency and frequency are declining.
   * **Hibernating** ☾:&#x20;
   * **Lost** ⊖: Low scores in all three categories.
4. **Targeted Marketing:** Once you have your customer segments, you can tailor your marketing efforts to each group. For example:
   * **Champions:** You might offer them exclusive deals or early access to new products.
   * **At-Risk Customers:** You might send them a special offer to win them back.
   * **Lost Customers:** You might try a re-engagement campaign.

> There are more targeted marketing strategies below this article.

<figure><img src="/files/aoNz35hxxluydKxUs6li" alt=""><figcaption></figcaption></figure>


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