Evergage Adds Recommendation Tech to Personalization Platform
The offering builds on the foundational real-time personalization capabilities of the Evergage platform, incorporating dynamic suggestions.Evergage announced the debut of Recommend, an integrated recommendation system that is a native part of a full testing, targeting and personalization solution. The offering builds on the foundational real-time personalization capabilities of the Evergage platform, incorporating dynamic suggestions of pertinent products or pieces of content. Leveraging behavioral analytics and insights, Evergage Recommend delivers suggestions based on visitors' expressed or implied preferences, as well as the aggregated browsing and past purchase behaviors of other visitors. "We identified a number of unmet needs with existing recommendation engines," Andy Zimmerman, chief marketing officer of Evergage, told eWEEK. "For example, many solutions lack the ability to give customers more control over their recommendation strategies, base recommendations not only on popularity but also on unique individual visitor behaviors, and enable companies outside of the retail industry to deliver content, not just product, recommendations."
In conversations with customers and prospects, Zimmerman said he learned that in using existing recommendation solutions, they typically struggled with algorithms not displaying relevant product offerings, the ability to target recommendations to individual users or user segments, and product feed delays causing recommendations to promote out-of-stock items.