Behavioral segmentation is arguably the most useful for ecommerce merchants, as it segments customers according to what they have actually done on the website. The data for this segmentation can be gathered from your own website. For example, search analytics sheds light on how customers use site search
Behavioral segmentation can group customers regarding their user status (new or repeat customer), stage of the customer journey (awareness, consideration, conversion, retention, or advocacy), on-site behavior, spending habits, buying behavior (complex, dissonance-reducing, habitual, or variety-seeking), brand loyalty and customer lifetime value (CLV).
CLV is the total amount of products a customer will purchase from your store over time, including both past and predicted purchases. For instance, you can use past CLV to offer personalized promotions for returning customers or use predicted CLV to target customers who are likely to purchase again from your store in the future.
Another example of behavioral segmentation is personalized search results that combine behavioral segmentation with demographic segmentation.
Compare the two screenshots below. The first one shows search suggestions after looking up "t-shirt" on the first visit to the website: