Site search & filtering once you pass 50 SKUs

Once you pass ~50 SKUs, site search and filters become revenue-critical: searchers convert far higher, so track zero-results, handle synonyms, and design filters by real attributes. Search analytics is free merchandising input.

Past roughly 50 SKUs, site search and filtering become revenue infrastructure, not a nicety, because searchers convert several times higher than browsers. A failed search is lost money. Track zero-result queries, add synonyms so real terms find real products, design filters around the attributes people shop by, and read search logs as merchandising input. AI clusters your query logs and proposes synonyms and filters; you feed it the real searches and confirm the catalog terms.

Once your catalog passes roughly 50 SKUs, site search and filtering become revenue-critical, not a nicety. Visitors who search convert several times higher than those who only browse, so a failed search is lost money.

AI can cluster your search logs, spot the zero-result gaps, and propose synonyms and filters. You feed it the real queries and confirm which terms match which products.

What you'll learn

Turn on and read zero-results
Fix synonyms so real words find real products
Design filters around how people actually shop
Read search as merchandising input