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RFM segments: Segment customers with RFM analysis

How Do I Use RFM Analysis to Segment My Customers?

RFM analysis (Recency, Frequency, Monetary) measures customer loyalty and purchasing behavior.

Updated this week

🏷️ RFM segments are available on all Marsello pricing plans.

  • Identify your most valuable customers

  • Re-engage at-risk shoppers

  • Optimize your marketing strategies for stronger ROI

What is Customer segmentation?

Customer segmentation divides shoppers into groups based on shared characteristics. This makes marketing more targeted and effective.

Common types of segmentation include:

  • Demographic – age, gender, life stage

  • Geographic – location such as country, state, or city

  • Behavioral – purchasing patterns, e.g., last purchase date

Marsello focuses on behavioral segmentation through RFM analysis, giving retailers clear insight into customer value and engagement.

Why customer segmentation is important?

Every customer database is diverse, with unique shopping behaviors. Segmentation ensures the right message reaches the right customer at the right time.

How Segmentation helps:

  • Understand Your Business – Spot best customers, identify those at risk, uncover growth opportunities.

  • Boost Loyalty – Reward repeat buyers with personalized experiences and exclusive offers.

  • Enhance Email Marketing – Increase open/click rates with targeted campaigns.

  • Reduce Costs & Improve ROI – Focus resources on high-value customers for stronger returns.

How does Marsello calculate segments?

Marsello uses RFM analysis, based on:

  • Recency – How recently a customer purchased.

  • Frequency – How often they purchase.

  • Monetary – How much they’ve spent in total.

When you connect Marsello to your eCommerce or POS system, your customer database and order history sync automatically. Segments update daily and refresh instantly when a customer places a new order.

Customer segments overview (Most → Least engaged)

Customer Segments Explained

Best

Your most valuable and loyal customers with the highest lifetime value.

Typical behavior

  • Purchase frequently within your average buying cycle

  • Have the highest total spend

Recommended actions

  • Offer VIP perks and exclusive rewards

  • Provide personal recognition

  • Encourage referrals and brand advocacy

Loyal

Repeat customers with strong engagement and spending habits.

Typical behavior

  • Purchase regularly

  • Spend consistently, but slightly less than Best customers

Recommended actions

  • Reward ongoing loyalty

  • Offer exclusive previews and promotions

  • Invite them to community events or early access campaigns

Promising

Customers with strong potential to become Loyal or Best customers.

Typical behavior

  • Have made recent purchases

  • Have placed 2 or more orders

  • Show average spending patterns

Recommended actions

  • Share your brand story and values

  • Follow up after purchases

  • Encourage social engagement and repeat visits

New

First-time buyers who are new to your brand.

Typical behavior

  • Have completed one recent purchase

  • Recently joined your customer database

Recommended actions

  • Send welcome and onboarding emails

  • Create a memorable first experience

  • Encourage a second purchase quickly

Window Shoppers

Customers who are browsing but haven’t made a purchase yet.

Typical behavior

  • Created an account

  • Have not placed any orders

Recommended actions

  • Send welcome offers or discounts

  • Share personalized product recommendations

  • Use onboarding and nurture email sequences

At Risk

Customers showing signs of declining engagement.

Typical behavior

  • Haven’t purchased in 2 or more average buying cycles

Recommended actions

  • Launch win-back campaigns

  • Offer limited-time promotions

  • Send relevant product recommendations

Cold (formerly Lost)

Inactive customers who are at high risk of churn.

Typical behavior

  • Haven’t purchased in 4 or more average buying cycles

Recommended actions

  • Run reactivation campaigns

  • Highlight new arrivals or product launches

  • Offer exclusive deals or incentives to return

📝 Note: Segments are mutually exclusive; each customer belongs to only one

segment at a time.

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