Hello, my name is Eric and welcome to Nextopia eCommerce Labs. I’m here today to share some knowledge from our team of experts about adaptive search, and what it means for your eCommerce store.
Let’s begin by defining adaptive search. Adaptive search is when your search technology learns, or adapts, to customer behaviour over time. What does this mean? It means that if a group of products has an equal relevance score in a customer’s search results, the best “performing” product—the one that gets clicked on most often—will automatically be promoted to the top of the search results.
This an an important feature to have with on-site search for a few reasons.
First, it helps to display search results in a more efficient manner than simply by alphabetical order. By showing the most popular products at the top of your search results, you will be displaying the best, most in-demand products to your customers. Chances are, if other people preferred one product to another, others will too.
Second, an adaptive search algorithm will change over time instead of remaining static. As new products are released and customer buying habits change, so will your search results.
And finally, an adaptive search will do all of this passively—without ever needing input from an eCommerce retailer. While you can still customize your search results by pushing certain products to the top of certain keyword results, adaptive search is a completely hands-off solution that revolutionizes how your search operates, and delivers higher conversion rates and revenues than stock search solutions.
Thanks for watching and I’ll see you next time!