Full Page Search

Full page search is a part of the site search experience that allows online shoppers to discover the products displayed on a full page in a grid or tabular format. Typically, this search experience is activated when the shopper presses enter after typing in a retail key phrase within the search box.

Reflektion’s full page search transforms the site search function into an individually targeted experience presenting the most relevant items for that shopper. The search function is sophisticated enough to understand retail specific search terms, including those related to pricing, sales, promotion, product sizing, synonyms, adjectives, and modifiers. In the full page search, an intuitive navigation experience is presented to the shopper, with the most relevant facets dynamically generated in the navigation bar based on search results, attributes, visitor interactions, and other rules. Also, the search results are re-ranked based on product attribute weights, individual visitor profiles, demographics, recent visits, session intent, propensity to buy, and other data points to maximize conversion.


Reflektion’s AI-powered personalization platform listens to the behaviors of each individual shopper, utilizes Artificial Intelligence to calculate their preferences and intent, and then responds to every moment-to-moment interaction by displaying the most relevant content and products in real-time and across the digital touchpoints that matter most—including preview and site search, product recommendations, category and landing pages, and email.

Leading retail brands such as Hanes, Marmot, Skechers, and Ulta rely on Reflektion’s platform.

Founded by pioneers in Artificial Intelligence and awarded both the Best eCommerce Solution and Best Overall Business Technology Solution by SIIA in 2019, Reflektion combines individual shopper insights, product intelligence, and AI to create more relevant and impactful eCommerce experiences.