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RFM Analysis: How to Drive More Profit from Your Existing Customers

E-commerce Marketing

4

minutes to read

April 23, 2026

In this blog post

Most Shopify store owners focus on acquiring new traffic, often ignoring the powerful analytical tools they already have at their fingertips. One of the most underrated reports is the RFM analysis. The statistics are clear – often, as little as 13% of customers generate more than half of a store's total revenue. Understanding who these individuals are is the key to profitable scaling.

From this article, you’ll learn how to stop talking to everyone in the same way and start personalising your communication where it brings the highest return.

Key Takeaways in 30 Seconds (TL;DR)

  • Pareto Principle in Action: A small group of loyal customers accounts for the lion's share of your income.
  • RFM Defined: Segmentation based on how recently a customer bought (Recency), how often they buy (Frequency), and how much they spent (Monetary).
  • Shopify’s Hidden Treasure: This report is available natively in the Shopify dashboard (Analytics -> Reports), but many merchants are unaware of it.
  • Personalisation = Profit: Differentiating communication for "Champions" versus "Lost" prevents wasting margins on unnecessary discounts.
  • Integration: Shopify RFM segments can be easily synced with Klaviyo to automate email flows.

What Exactly is the RFM Model?

RFM analysis is a method of customer classification that allows you to assess their value to the business in real-time. The model is built on three key axes:

  1. Recency – the number of days since the last order. This is the most critical indicator – the fresher the purchase, the higher the chance of another one.
  2. Frequency – how often a customer returns to your store. This helps distinguish one-time "bargain hunters" from true brand advocates.
  3. Monetary – the total amount spent by the customer. This is where you identify your "Whales" (highest-value customers).

Customer Segments and Strategy

Shopify automatically divides your base into 10 segments. Here are the key groups and recommended actions based on the RFM model:

Customer Segment RFM Profile Suggested Action
Champions High spend, high frequency, and recent purchases. Recognition (VIP), early access to drops, exclusion from awareness ads.
Loyal Customers Strong purchase history, high total spend, but quiet lately. Loyalty building, brand reminders, subscription incentives.
Need Attention / About to Sleep Moderate value, beginning to "cool off". Win-back campaigns, personalised discount codes.
At Risk / Hibernating / Can’t lose them Used to buy frequently, but high recency (days since last buy). Aggressive reactivation, SMS/WhatsApp marketing, feedback requests.

Technical Implementation with Klaviyo

To make RFM segmentation effective, it must not be a static list. Customers should dynamically migrate between groups based on their behaviour.

We recommend integrating Shopify Flow with Klaviyo. Instead of static lists, use tags: assign a tag when a user enters a Shopify segment and remove it when they exit. Create a segment in Klaviyo based on these tags to ensure your automated flows (e.g., email sequences) always reach the right people.

Strategic Steps You Can Implement Today

  1. Open the Report – locate it in your dashboard and analyse your revenue distribution.
  2. Create Segments – save key groups (e.g., Champions, Loyal, At Risk) as segments within Shopify.
  3. Connect to Klaviyo – if you use Klaviyo, synchronise these segments to automatically send different emails to different groups.
  4. Prepare 3 Messages – create distinct marketing messages for three different groups and test them in Klaviyo.
  5. Adopt the RFM Cycle – make segmentation a regular part of your marketing planning cycle.

Summary: Why Does It Matter?

The biggest advantage of RFM segmentation is increasing communication efficiency. You cannot speak to every customer in the same way – because where it is not necessary, you are giving away part of your potential profit for free. Just as a physical store treats a regular differently than someone walking in for the first time, your e-commerce should respond to user behaviour.

Want to get more out of your customer base?

At wecanfly, we help mature brands implement advanced analytics and automation on Shopify Plus. If you need support with Klaviyo configuration or RFM reports – get in touch with us.

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Adam Choromański

New Business Manager

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