Increase Search Relevance with Dynamic Faceted Filters for Ecommerce

Why Dynamic Facets Matter in Ecommerce Search

Static filters can slow shoppers down. When every possible facet is shown for every search, users are forced to scan long lists of irrelevant options — often leading to frustration or abandonment.

Dynamic facets solve this by showing only filters that make sense for the current query and result set. Instead of overwhelming shoppers, faceted search becomes a helpful guide that speeds up product discovery.

Key Benefit: Dynamic filtering ecommerce search reduces friction by adapting faceted search filters in real time — improving usability and conversion.

How Dynamic Facets Work

Filters That Adapt to Every Query

• Query-Aware Facets — Only show filters that apply to the current search results.
  
  
• Automatic Value Pruning — Hide facet values with zero matching products.
  
  
• Smarter Navigation — Help users narrow results faster without dead-end filters.
  
  

Clerk.io automatically recalculates facets based on the live result set. Whether a shopper searches for “running shoes”, “leather boots”, or “waterproof jackets”, the available filters update instantly to match what’s actually available.

Use Case: Faster Filtering, Fewer Drop-Offs

A fashion retailer offers thousands of products across categories, brands, sizes, colors, and materials.

With static facets, a search for “black leather boots” still shows filters like “running type”, “mesh material”, or irrelevant size ranges — slowing the shopper down.

With dynamic facets, only relevant filters appear: heel height, leather type, brand, price range, and available sizes. Shoppers refine results in fewer clicks and reach the right products faster.