08 Nov 2024
Advanced Segmentation Techniques to Drive Personalisation & Conversion
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By Price Trakker
In a landscape crowded with choices, personalised experiences have become the standard expectation, not a bonus. Effective personalisation hinges on sophisticated segmentation strategies that go beyond broad demographic categories. For eCommerce managers, understanding advanced segmentation techniques can lead to more meaningful interactions with customers, higher conversion rates, and sustained growth. In this article, well explore actionable segmentation strategies that help create tailored experiences and drive results.
1. Behavioural Segmentation: Capturing Intent Through Actions
Behavioural segmentation can help retailers to understand where customers are in the buying journey and deliver messages that match their intent. Going beyond the standard 'new vs. returning' customer categories can unlock insights that fuel more precise targeting.- RFM Analysis (Recency, Frequency, Monetary Value): Analysing these three dimensions helps pinpoint high-value customers who are more likely to respond to promotions. Retailers can use RFM scores to create targeted campaigns, such as offering loyalty incentives to frequent buyers or re-engagement content to those who havent purchased recently.
- On-Site Behaviour: Track on-site interactions, such as time spent on specific product pages or items added to (and abandoned from) the cart. Segment customers based on these behaviours, then send highly relevant follow-ups”like product-specific reminders or limited-time discounts.
- Personalised Cross-Selling Based on Past Purchases: Rather than general product recommendations, retailers may leverage machine learning models to predict complementary items for each customer based on their purchasing history.
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