The Future of Site Search has Arrived

Site search is grossly underutilized by eCommerce shoppers. For nearly two decades, it has lacked any real innovation or evolution, causing almost 50% of all eCommerce site searches to end in failure. That ends today.

We’re excited to share that Reflektion has announced three powerful additions to our full and preview search solutions – photo search, Natural Language Processing (NLP) and universal search. With these additions, Reflektion is evolving site search beyond a simple utility and establishing the foundation for the future of site search. A future where consumers can use any combination of voice, photos and unique queries to naturally engage with a brand and receive individually relevant results.

Site search exists so customers can signal to brands exactly what they want. Unfortunately, most solutions simply show the most popular results for the term, and limit the potential for success for each individual shopper. If brands truly want to transform site search into a primary engagement point for shoppers, they need to be able to meet shoppers’ rising expectations – that means expanding and streamlining the ways in which shoppers engage with search and improving the relevance and variety of results. Furthermore, they must be able to combine individual customer preferences with product data to improve the relevance and engagement potential of each search result.

“The latest additions to our site search solution represent three critical elements of today’s modern eCommerce user experience – photos, voice and content. It’s important to note that two of these new features, NLP and universal search, represent foundational requirements for voice search. This isn’t a coincidence; expect updates from Reflektion regarding voice search very soon.”

– Amar Chokhawala, CEO, Reflektion

Reflektion’s expanded site search solutions now include:

Photo Search
Today’s digital consumers have fully embraced images and photos. Tumblr, Instagram, Snapchat are only a few examples of just how many photos and images consumers take in each day. On the road to creating more engaging mobile experiences, brands must consider expanding their definition of search to include photo search. For example, with Reflektion’s photo search functionality, if a shopper sees a pair of high heels she loves while out with friends she can snap a quick picture, and quickly attach that photo to a search query and see if her favorite brand offers anything similar.

Universal Search Results
Brands have long been adding content to their sites to offer customers suggestions, strengthen relationships, and expand SEO reach. But the content they spend time and money developing isn’t part of their existing search results. In order to ensure they are getting the very most from the content they are producing, Reflektion’s universal search ensures individually relevant content assets are delivered alongside equally relevant products in search results.

Natural Language Processing
On a web site an individual may type the text “black dress,” but conversationally they might add more context such as, “show me black dresses under $100.” The majority of site search solutions can’t deliver relevant results for that conversational query – especially on mobile. They will instead simply show black dresses. For consumers, that is a failed experience. The addition of NLP enables Reflektion customers to listen and respond to consumers’ conversational queries and opens the door to a host of innovative new voice search functionalities.

Matt Helmke

Matt is the senior director of communications and content at Reflektion. He’s led global communications, content and brand strategy programs for high-profile, culture-shifting Fortune 500 business divisions, as well as innovative, early-stage startups. The common thread running through his career is a passion for disruptive technologies focused on improving and redefining end-user experiences. Outside of technology, his passions include his family, music, bourbon, craft beers, fishing and swimming… but not all at once.