Build a live picture of a shopper’s preferences
Track preferences and target shoppers at an individual level. E.g., not only will you know that a customer likes flare jeans, but also that she prefers white tops, shoes from a certain brand, and so on.
Reveal cross-brand loyalty
Help the shopper discover other brands by leveraging cross-brand loyalty, where a group of customers who usually buy brand X also show loyalty to brand Y.
Identify emerging trends
Quickly adapt content to give it greater prominence and/or create new promotions if statistically significant volumes of shoppers are attracted to a particular color, brand or style on the website.
How it works
Advanced Customer Tagging is a unique Fresh Relevance personalization feature that allows sophisticated behavioral targeting.
It automatically tags products in your online product portfolio by criteria including color, style and brand. When a shopper browses, carts or purchases products, the tags from those items are linked with that shopper.
Because the data tracking is live, if the shopper displays a change in preference, such as switching from always buying skinny jeans to flares, the data will automatically update.
As a result, you can deliver highly personalized targeting of products to your customers, both on the website and in marketing emails, based on their purchasing and browsing behavior.