Behavioral Tags

Two customers who’ve spent the same amount can shop in completely different ways. Behavioral tags capture how someone shops, as plain-English badges you can filter by.

What they are

Customer History looks for 15 recurring patterns in a customer’s purchase and browsing history and tags the ones that fit. The tags are assigned automatically — no manual labelling — and recalculated as behaviour changes.

The fifteen tags

• Bargain Hunter — buys mainly with coupons or on discount.
• Impulse Buyer — decides fast, with little browsing first.
• Brand Loyal — keeps coming back to the same brand or brands.
• Gift Shopper — seasonal, varied, gift-like buying.
• Weekend Shopper — orders mostly land on weekends.
• Night Owl — orders mostly placed late at night.
• Cart Abandoner — often leaves a cart without completing.
• Researcher — browses across several sessions before buying.
• Subscription Seeker — gravitates to subscription products.
• Category Specialist — concentrates spend in one or two categories.
• Bulk Buyer — large quantities per order.
• Trendsetter — buys new products soon after they launch.
• Seasonal Shopper — activity concentrated in one season.
• Mobile Shopper — shops primarily on mobile.
• Desktop Shopper — shops primarily on desktop.

Confidence scores

Each tag carries a confidence score, so a strong, consistent pattern is distinguished from a borderline one. The more a customer’s history backs up a pattern, the higher its confidence.

Where to find it

A customer’s tags show on their profile, and behaviour is available as a column and filter on the customer list — so you can pull up, for example, every Bargain Hunter at once.

How to use it

Behavioral tags help you understand and group customers by mindset rather than just spend. What you do with that understanding is up to you — the tags are descriptive, and the plugin never acts on them.