Build recommendation filters from your catalog, not guesswork

Recommendation filters are now much easier to set up. Instead of typing tags, collections, and attributes by hand, you can now choose from values already in your catalog, which helps you avoid typos and reduces the chances of seeing misleading product counts.

What's new

• Searchable tag and collection pickers: When filtering product recommendations by tag or collection, you can now search and select from values already in your catalog instead of entering everything manually.

• Custom values still supported: If you need to filter on something that isn’t in the list yet, you can still type your own value and use it right away.

• Attribute filters guided by real catalog data: For attribute-based filters, you can now pick the attribute and then choose from the values that actually exist for that attribute in your catalog.

Why we made these changes

Recommendation filters should help you narrow to the right products quickly, not make you remember exact field names or troubleshoot why a valid filter returns no matches. These changes make the setup flow faster and more dependable by grounding filter choices in your actual catalog data while still giving you flexibility when you need it.