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Evergage Recommendations brings advanced, per-user Evergage recommendations present unique product and content suggestions using complex algorithms and to individual visitors. This functionality leverages advanced machine learning algorithms, a deep understanding of user behavior. The solution offers configurable each visitor's behavior, and a contextual understanding of your business. Recommendations offers configurable algorithmic strategies, called "recipes", that can be used to boost content or product engagement/discovery on your site. Recipes consist of ingredients, exclusions, and boosters, which can be constructed in a variety of combinations to serve up the right content or products based on the individual visitor's behavior and affinities on your site. These recipes are then queried against the proprietary Evergage Recommendations engine and the individual query results are presented to each visitor as his or her personalized recommendations, mobile app, emails or onsite search. Once you have created and published a recommendation recipe, you can use them to show promoted content any campaigns based on what others have viewed or purchased (including offline transactions). The predictive algorithms available in Evergage can even dynamically adjust to temporary shifts in consumer behavior.
This section details how to create configurable "recipes" that you can use boost content or product discovery throughout your various channels.