Shopify Collection Filter Apps: Improving Product Discovery
Filter apps help customers navigate your Shopify collections by narrowing down products to match their specific needs. This guide covers how filtering works and how to implement it effectively.
Why Use Collection Filters?
- Help customers find products faster
- Reduce browsing frustration
- Improve conversion rates
- Handle large product catalogs effectively
Types of Filters
Native Shopify Filtering
Configure Shopify's built-in Storefront Filtering at Online Store > Navigation > Collection and search filters:
- Availability: In stock / Out of stock — enabled by default on OS 2.0 themes
- Price range: Slider or input fields for min/max price — customers can narrow to their budget
- Product type: Filters by the "Product type" field you assign in product settings
- Vendor: Filters by brand/supplier — works well for multi-brand stores
- Tag-based: Any product tag becomes a filter option — use prefixed tags like
color_red,size_largefor clean filter labels - Metafield filters: Custom attributes (material, style, occasion) set up through Settings > Custom data > Products can be added as filters
Third-Party Filter Apps
Install from Apps > Shopify App Store to go beyond native filtering:
- Boost Product Filter & Search: Adds color swatches, size grids, multi-select checkboxes, and instant AJAX filtering without page reloads
- Search & Discovery (free, by Shopify): Adds synonym management, product boosting/burying, and filter analytics — install at Apps > Search & Discovery
- Smart Product Filter & Search: Supports custom filter trees, "and/or" logic within filter groups, and metafield-based options that go deeper than native filters
Collection Organization: AWSM Collections helps you organize products effectively, making filtering more useful with consistent tagging and categorization.
Setting Up Effective Filters
Prerequisites
- Consistent product tagging
- Complete product attributes (size, color, etc.)
- Organized product types
Implementation Steps
- Audit product data: Go to Products > All products and check that product types, vendors, and tags are filled in consistently — filters are only useful when the underlying data is complete
- Standardize tags: Use a prefix convention like
color_,size_,material_so filter groups display clean labels instead of random tags - Enable Storefront Filtering: Go to Online Store > Navigation > Collection and search filters and add the filter types you want customers to see
- Configure filter display: In your theme editor (Online Store > Themes > Customize), select a collection page and configure the filter sidebar or drawer position
- Test: Browse your store as a customer, apply multiple filters, and verify the results match expectations — check on both desktop and mobile
Filter Best Practices
- Keep it simple: Don't overwhelm with too many filter options
- Prioritize relevance: Show filters that matter most to customers
- Show result counts: Let customers see how many products match
- Enable clear filters: Make it easy to reset and start over
- Mobile optimization: Ensure filters work well on all devices
Common Filter Types
- Price: Range slider or predefined ranges
- Size: Standard sizing options
- Color: Color swatches or text options
- Brand: Vendor/brand selection
- Availability: In stock vs. out of stock
- Rating: Customer review ratings
Measuring Filter Effectiveness
Use analytics to track:
- Filter usage rates
- Conversion rates with vs. without filtering
- Most popular filter combinations
- Zero-result searches
Conclusion
Collection filters are essential for stores with many products. They help customers find what they want quickly, improving both user experience and sales. Focus on clean product data and relevant filter options for the best results.
Related Resources
Explore More Guides
Disclaimer: While we strive to provide accurate and up-to-date information, we cannot guarantee the correctness of all content.
Information may be outdated or incorrect, and we recommend verifying any information before relying on it.
Information may be outdated or incorrect, and we recommend verifying any information before relying on it.