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Baynote Recommendations and Social Search automatically display the best content and products to website visitors.
Without collecting any explicit feedback, Baynote increases the number of products purchased, impressions on the site,
and the number of leads generated by tapping into the collective wisdom of the silent majority.
Based on the silently observed visitor actions, we are able to identify and leverage the virtual communities of
like-minded visitors on your site. The virtual community includes every visitor on your site and each visitor is
completely anonymous. The Affinity Engine identifies emerging patterns among the visitors of your site thereby
capturing the collective wisdom of the crowd.
Social science tells us that every person plays multiple roles and the context of our current role drives needs or buying
decisions. The Affinity Engine not only interprets and aggregates the behavioral observations but also understands the
context of the behavior. We combine context with behavior to dynamically recognize the visitor's intent and guide them
to the right content, product, or information at every page of the site.
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Applications
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Product Recommendations
Shoppers who experience Baynote Product Recommendations™ in the form of "Customers Who Liked This, Also Liked..."
increase their average order value (AOV) by up to 30%. Built on top of the Collective Intelligence Platform™, Product
Recommendations automate the merchandizing process to deliver up-sell and cross-sell products across all channels.
Content Recommendations
Visitors who experience Baynote Content Recommendations™ increase their
click-through rates and time-at-site by 100-300%.
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for Product
Self-Optimizing Search Results Drive Real-Time Revenue Baynote Social Search™ for products adapts instantly to changes in
preference and demand, thus enabling you to quickly capitalize on consumer trends as they emerge. Social Search, powered by
UseRank™, drives significant incremental revenue while avoiding traditional enterprise search and analytics pitfalls such as
complex tuning and rigid taxonomies.
for Content
Self-Optimizing Search Results Using the latest in computational and behavioral science, Baynote Social Search™ for
content models how users actually think about the content for which they are searching. The result is the ability to deliver
users the items they expect regardless of the keywords they type.
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Company Overview
Helping to enhance the user experience from a content discovery perspective
