Deliver Full Commerce Lifecycle Personalization with Algonomy
Connect every touchpoint, backed by real-time user profiles
Personalized recommendations
With the industry’s most comprehensive library of over 150 strategies, Algonomy Recommend™ delivers the most contextually relevant product recommendations that help you achieve engagement, conversion and revenue goals, be it for similar products, cross-sell or long tail products.
Our promise – no two shoppers see the same search results for identical search terms. By leveraging shopper individual behavioral data and affinities, Find™ displays the most relevant catalog items upfront, ensuring customers find what they need, without having to dig deeper. Our self-learning search eliminates the dreaded ‘no results’ page and ensures relevance.
Dynamically re-sort category and product listings with flexibility to customize weights for attributes such as brands, pricing, product newness, view and purchase affinities. Discover™ immediately impacts product discovery by matching category pages with your shopper preferences as she browses, as if you were re-arranging the in-store display for every visit.
Engage™ auto-optimizes content experiences by mapping individual shopper behavior against advanced targeting and segments. Discover new behavioral segments, eliminate the need to run manual A/B tests and trigger on-demand dynamic experiences. Personalize by shopper type (new visitors or returning customers) and across the buying journey (from landing pages to cart page).