The world post-Facebook is a social one. Nobody shops in a bubble anymore and everyone looks to the opinions of others in their social networks to inform their product decisions. Baynote pioneered something we call onsite search years ago and it is becoming more important to ecommerce. Onsite search takes into account the social graph and activity of all of your shoppers as they search on your site. It then creates a “folksonomy” of terms and matches those terms to various products and content on your site. It applies the mathematical linkages that the big social platforms of today apply to their social graphs, but ours applies it to your product catalog and shopper patterns on your site. This surfaces popular trends more quickly, and helps you to understand what your shoppers are looking for. The end result is the delivery of far more personalized recommendations to each shopper, creating more engagement, improved KPIs and repeat business.
Onsite search emerged in 2004, and has grown in its importance to the ecommerce industry ever since. Why does Baynote call it onsite search? Because we collect data on all of the search terms used by shoppers to any particular website. Then we capture where that shopper went next based by observing their behavior on site. This tells us which terms take a shopper to a particular item and begins to establish what Baynote calls a “folksonomy”. When future shoppers arrive on site and use the same terms, onsite search then takes advantage of the patterns established by the social graph to deliver personalized recommendations sooner in the shopper’s journey. By basing results on social actions, each user can be served personal, relevant results. Searching social with onsite search creates a new world of ecommerce where choice is socialized yet still driven by personalization.