Customer Segmentation (E-commerce)

Customer segmentation in e-commerce goes beyond basic demographics to group customers by behaviours, preferences, and value. Effective segmentation enables personalised marketing that dramatically outperforms generic approaches.

Common segmentation models:

RFM segmentation (Recency, Frequency, Monetary):

• Champions: Recent, frequent buyers with high spend
• Loyal customers: Regular buyers with moderate to high spend
• Potential loyalists: Recent buyers who could become loyal
• At risk: Previously active, now showing declining engagement
• Hibernating: No recent purchases

Behavioural segmentation:

• Purchase frequency (one-time vs. repeat buyers)
• Average order value (low, medium, high spenders)
• Product category preferences
• Channel preferences (mobile vs. desktop)
• Browsing behaviour (browsers vs. buyers)

Lifecycle segmentation:

• New customers (first 30 days)
• Active customers (purchased in last 90 days)
• Lapsing customers (no purchase in 90-180 days)
• Churned customers (no purchase in 180+ days)
• VIP customers (top 10-20% by lifetime value)

Segmentation-driven marketing tactics:

• Welcome series for new customers
• Re-engagement campaigns for lapsing customers
• VIP exclusive offers for high-value segments
• Win-back offers for churned customers
• Category-specific promotions based on purchase preferences