Behavioral Targeting

Understanding Behavioral Targeting

Behavioral targeting works by collecting signals about how a visitor interacts with your store and using those signals to tailor what they see next. If a shopper has viewed three different running shoes in the past week, behavioral targeting might show them a banner featuring running gear or prioritize running shoe reviews on the homepage.

The data inputs for behavioral targeting range from simple to sophisticated. Basic implementations track pages viewed and products clicked during the current session. More advanced systems incorporate purchase history, email engagement, time between visits, scroll patterns, and even mouse movement data to build a behavioral profile for each visitor.

In e-commerce, behavioral targeting is most commonly applied to product recommendations, email campaigns, and on-site content. A visitor who abandoned a cart might see a targeted popup with a small discount on their next visit. A repeat customer who always buys from one category might see that category featured prominently on the homepage.

Privacy regulations like GDPR and CCPA have changed how behavioral targeting works in practice. First-party behavioral data collected on your own store with proper consent is still fully usable, but third-party behavioral data from cross-site tracking is increasingly restricted. This has made on-site behavioral targeting more valuable than ever, since it relies on data you collect directly.