Enrich your existing site search engine with customer-centric product data.
Add exceptional depth, accuracy and the language consumers actually use to your product catalog, and make it easier for your shoppers to find what they’re looking for.
How it works
Brands and retailers who merely take in the generic product attributes provided to them by manufacturers and distributors – and stop there – aren’t able to push the language that customers actually use in their searches to their on-site search engine, then wonder why conversion is still stuck at an anemic 2% or worse.
Lily AI works with some of the world’s biggest brands and retailers to provide search engine-agnostic, plug-and-play product attribution data that feeds every step in the retail value chain. We help them return the sort of accurate and relevant results expected by their shoppers – even on some of the longest of long-tail searches. This dramatically increases engagement, conversion and ARPV.
Stop the endless site-search scroll.
It’s not acceptable to return 10-plus pages of results that drop off dramatically in relevance after the first click. Shoppers want focused, relevant results that match their shopping intent – and they’ll leave your site if they don’t get it.
By using granular, customer-centered product attribution data and enabling long-tail semantic searches, retailers can easily guide users directly to the items they really want.
It’s not just about finding the product. Sites that support semantic searches (which requires enhanced product data) see their cart abandonment rates drop down to as low as 2%.
Learn more about Product IntelligenceResources
Large Multi-Brand Retailer Boosts Product Discovery from On-site Search by 8.5%, Projecting to $22M Increase in Revenue Across Brands
How Bloomingdale’s Makes Site Search Convert With Enriched Product Data
How to Capitalize on Shoppers’ Search Diversity
