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Social Catalog Search

Integrate product recommendations directly within your site's search results.

Self-Optimizing Search Results Drive Real-Time Revenue
Baynote Social Search™ for product catalogs breaks the mold of site search by displaying product links that have been proven to be useful to like-minded searchers in the past. Social Search avoids traditional pitfalls by observing how users interact with the products they discover, not simply the keywords they type. The result is a more robust means to always deliver the products customers expect regardless of their query term.

Lightweight Flexibility Only SaaS Can Provide
Baynote is delivered as a Software-as-a-Service (SaaS) and installs easily on top of any search engine allowing for existing business rules and vendor relationships to remain intact. Alternatively, Baynote can serve as a complete faceted search solution to replace an existing search engine. Search results are funneled into the Baynote Affinity Engine and output as XML so you have complete control over the visual presentation.

Maintain Merchandizing Control Within Search Results
By using the Merchandizing and Editorial Console, you can adjust Baynote's socially-optimized search results to take into account margin, inventory, bundling, promotions or other factors to meet specific commerce objectives. Through actions such as product pinning, magnification, and blacklisting, merchandizers have the power to make rapid changes to the site search experience — all without IT intervention.

Baynote Social Search
for Product Catalogs
Typical eCommerce
Search
Bread-crumb navigation
Basic merchandizing
Faceted navigation
User feedback/review integration
Flexible layout and configuration
Multi-lingual support
Works with any eCommerce platform or website
Works with existing search engine
Dynamic merchandizing across entire site
Self-optimizing and tuning in real-time
Automatically identifies product gaps
Community-based reporting & marketing analytic tools
Live in days
Automatic upgrades & feature availability