Segmentation Approaches
Demographic Segmentation
Based on: Age, gender, income, household composition, location
Example: "Urban millennials" vs. "Suburban families"
Behavioral Segmentation
Based on: Purchase patterns, channel preferences, engagement level
Example: "Weekend shoppers" vs. "Online-only buyers"
Value-Based Segmentation
Based on: CLV, profitability, spending level
Example: "High-value" vs. "Growth potential" vs. "Low-value"
Lifecycle Segmentation
Based on: Relationship stage with brand
Example: "New members" vs. "Loyal regulars" vs. "At-risk" vs. "Lapsed". See lifecycle marketing.
Needs-Based Segmentation
Based on: Shopping motivations and preferences
Example: "Convenience seekers" vs. "Price-sensitive" vs. "Quality-focused"
Category/Product Segmentation
Based on: Products purchased, category affinity
Example: "Organic buyers" vs. "Prepared foods" vs. "Baby products"
RFM Analysis
RFM (Recency, Frequency, Monetary) is a powerful behavioral segmentation model:
R - Recency
How recently did the customer make a purchase? Recent buyers are more likely to buy again and respond to communications.
F - Frequency
How often does the customer purchase? Frequent buyers have established shopping habits and demonstrate ongoing engagement.
M - Monetary
How much does the customer spend? High spenders represent more value and may warrant premium treatment.
RFM-Based Segments
| Segment | RFM Profile | Strategy |
|---|---|---|
| Champions | High R, High F, High M | Reward loyalty, advocate program |
| Loyal Customers | High R, High F, Medium M | Upsell, increase basket size |
| At Risk | Low R, High F, High M | Re-engagement campaign, understand issues |
| Promising | High R, Low F, Medium M | Build frequency, loyalty onboarding |
| Hibernating | Low R, Low F, Low M | Win-back or accept churn |
RFM Scoring
Assign scores (typically 1-5) for each dimension. A customer scoring 5-5-5 (recent, frequent, high-spending) is a champion; a 1-1-1 needs win-back or acceptance of churn.
Applying Segments in Loyalty
- 1. Differentiated communications. Different segments receive different messaging: new members get onboarding; at-risk get retention offers; champions get exclusive recognition.
- 2. Targeted offers. Tailor promotional offers to segment needs: price-sensitive segments get discount offers; convenience seekers get time-saving promotions.
- 3. Resource allocation. Invest retention resources proportionally to segment value. High-CLV segments justify higher retention spend than low-value segments.
- 4. Program design. Design tier benefits that appeal to target segments. Understand what each segment values—free shipping, exclusive access, or maximum discounts.
- 5. Measurement. Track program metrics by segment. Overall program success can mask segment-specific problems or opportunities.
- 6. Evolution to personalization. Use segments as foundation, then layer 1:1 personalization for individual-level customization within segments.
Exchange Solutions Segmentation
Exchange Solutions' platform includes advanced segmentation capabilities—RFM analysis, behavioral clustering, predictive segmentation, and dynamic segment assignment. Our analytics help retailers understand segment composition, track movement between segments, and measure program effectiveness by customer type.
