Filtering

What is filtering?

Filtering — also called faceted navigation — lets customers narrow a collection by selecting attributes such as price, size, color, availability, brand, or product type. Instead of scrolling through hundreds of items, the shopper clicks their way down to exactly the subset that matches their needs. Filters pull dynamically from your product data, so the options shown are only as good as the tags, variants, and metafields your products are set up with.

Why does filtering matter?

In a store with a large assortment, filtering is often the difference between a sale and a bounce. Customers who use filters typically have higher purchase intent, because they are actively narrowing toward a specific product. Filtering also has an SEO downside: every filter combination creates a new URL with query parameters, and without control that can produce thousands of near-identical pages that waste crawl budget and create duplicate content. That is why filtered views should usually be canonicalized back to the clean collection URL.

Common use cases

• Apparel and fashion: filter by size, color, and material to reach the right variant fast.
• Price filters: let customers scope to a budget with a range, e.g. ?filter.v.price.gte=.
• In stock only: hide sold-out items so shoppers do not land on something they cannot buy.
• Brand or product type: navigate a broad catalog without building a separate collection for each combination.

Shopify perspective

In Shopify you set up native storefront filters through the free Search & Discovery app, which builds filters from product options, variants, tags, metafields, and inventory availability. Native filters require an Online Store 2.0 theme. Filters generate URLs with parameters like ?filter.p.product_type=, and OS 2.0 themes canonicalize back to the base collection by default. If you need more facets or synonyms, consider a dedicated search and filter app — but always clean up product data first, or the filters will be messy.