AI Powered Recommendations
Predictive Content Tailored To Every User Interaction
“..the patent-pending processes employed in” Blueshift’s Personalization Studio “accept a wide range of real-time event streams reflecting user behavior from sites, apps, wearables, Internet of Things connected devices and other sources, as well as from a customer relationship management (CRM) system.”
~Marketing Land
Predictive Recommendations, In The Hands of Marketers
Collaborative Filtering
Leverage the power of your website or app’s community of shoppers to help craft useful recommendations for your users based on the behavior of “People Like You” who browsed or purchased similar items.
Category & Brand Affinities
Recommendations based on user preferences, or affinities, for various product lines, categories, brands, authors, artists, price points and more.
Retargeting
Re-targeted content (the items that the user already saw and abandoned), & related recommendations (similar items, e.g. best sellers in the same category/brand).
Trending Content
Recommendations based on what’s trending and relevant for users, e.g. best converting or most viewed items in the user’s location.
Catalog Updates
Relevant new products or content that gets added to your catalog, or changes in price or other attributes for items that users have Favorited.
Putting Marketers in Control of Recommendations
Ready to learn more? Let’s Chat.
