Dividing e-commerce customers into groups based on shared characteristics such as purchase behaviour, demographics, lifetime value, or engagement level, to enable targeted marketing.
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):
Behavioural segmentation:
Lifecycle segmentation:
Segmentation-driven marketing tactics:
Segmented email campaigns generate 58% of all email revenue, and targeted offers to specific segments convert 3-5x better than mass promotions.
Clever Ops builds automated customer segmentation systems for Australian e-commerce businesses, implementing RFM analysis, behavioural segmentation, and lifecycle-based marketing automation.
"A specialty food retailer implements RFM segmentation, identifying that their top 15% generate 65% of revenue. A VIP programme with exclusive early access and free shipping increases this segment repeat purchases by 40%."