How to Improve Shopify Search for Large Catalogs

A large catalog is a Shopify store with thousands of products, multiple categories, and complex product data.

Large Shopify stores need multiple discovery paths that support how customers actually search, including:

• product names and keywords;
• SKU or product codes;
• technical specifications;
• product attributes;
• collections and categories.

Better search and filtering can reduce the number of steps between customer intent and product discovery, making relevant products easier to find. While unoptimized Shopify product discovery can lead to:

• Product invisibility — relevant products may remain undiscovered when search cannot interpret the information shoppers use to describe them. Baymard's 2026 benchmark found that 39% of ecommerce sites have issues handling searches that include product features or attributes (Baymard).
• Longer search journeys — shoppers may need to browse more pages or refine their queries before reaching a suitable product.
• Search refinement loops — shoppers may repeatedly change their queries when initial results do not match what they need. Baymard found that 43% of ecommerce sites have issues handling use-case searches, such as searches describing how or where a product will be used (Baymard).
• Zero-result searches — a search can return no products even when relevant items exist in the catalog. In one Baymard test, a search combining refrigerator style and capacity returned 0 products even though 45 products matched those attributes (Baymard).
• Product page abandonment — shoppers may leave before finding a suitable product when the search journey becomes frustrating.

Shopify product search is no longer limited to keyword matching. Different shoppers start their search with different levels of information. Some know only the product category, while others know the exact SKU or technical specification they need.

Large catalogs require multiple discovery methods, including search, filters, collections, and product attributes. The goal is to make it easier for customers to move from what they need to relevant products.

A more basic search experience.

Limited filtering can make it harder to narrow a large product catalog.

A more complete discovery experience.

Search, filters, and product attributes work together to help shoppers narrow large product selections.

Customers often begin with a general search query when they have an idea of what they need but do not know the exact product.

For example:

• "wireless headphones"
• "office chair"
• "mountain bike"

A good search experience should help shoppers discover relevant products even when queries are incomplete or do not exactly match product names.

Shopper need: "I know roughly what I want."

Search helps customers explore available options and discover products they may not have found through manual browsing.

Some customers already know exactly what they need. Instead of searching by product name, they search by SKU, manufacturer part number, or product code.

This behavior is especially common in:

• B2B stores;
• wholesale catalogs;
• automotive parts;
• electronics;
• industrial products.

Shopper need: "I know the exact item I need."

SKU search allows customers to locate specific products directly, without relying on collection browsing or manual comparison of similar items.

Many purchase decisions depend on product characteristics rather than names.

Customers may search or refine products based on:

• size;
• color;
• material;
• compatibility;
• dimensions;
• technical specifications;
• performance requirements.

For example, a customer looking for replacement parts may care more about compatibility than the product title.

Shopper need: "I know which characteristics matter."

Product attributes help customers discover relevant items based on the information they already have.

Not every shopper starts with a search. Some prefer to explore collections and browse product categories.

Well-organized collections help customers understand a catalog structure, while filters help them narrow large groups of products.

Shopper need: "I want to explore a product category."

Collection navigation can be complemented by search and filtering, particularly in stores with thousands of products.

Combining search and filters gives shoppers another way to narrow large product selections.

A shopper may start with a broad query and then refine results by:

• brand;
• price;
• size;
• availability;
• compatibility;
• technical specifications.

Shopper need: "I want to find a specific product category and narrow it down quickly."

Search helps customers discover relevant products, while filters help them remove irrelevant options.

Together, search and filters give shoppers a structured way to narrow large product selections.

Shopify’s native search and filtering tools work well for many stores, but large catalogs can run into platform limits. For example, Shopify Search & Discovery supports up to 25 filters per store, filters are unavailable on collections with more than 5,000 products, and filters are not displayed when a search returns more than 100,000 results.

For merchants with large or complex catalogs, these limits can make it harder to build category-specific filtering and give shoppers enough ways to narrow down products.

That is where a professional search solution can help.

Large catalogs create product discovery challenges for both merchants and shoppers. Customers need to find relevant products quickly, while merchants need to manage search, filtering, product visibility, and recommendations across a complex catalog.

Searchanise Search & Filter combines advanced search, filtering, merchandising, recommendations, and product discovery tools in a single Shopify app. It helps merchants make products easier to find, control which products shoppers see, improve catalog navigation, and create more opportunities to move customers from discovery to purchase.

Here’s how these capabilities help merchants improve product discovery across a large catalog.

Problem

Some customers already know the exact product they need and search by SKU, manufacturer part number, or product code instead of a product name. This is particularly common in B2B, wholesale, automotive, electronics, and industrial catalogs.

Solution

Searchanise Search & Filter supports SKU search, allowing merchants to make SKUs searchable alongside other product data.

Shopper benefit

Customers can find specific products directly without browsing large collections or comparing similar items.

Merchant benefit

SKU search reduces search friction for customers who already know what they need and helps them reach product pages faster.

Problem

Product names alone often do not contain all the information customers use when searching. In large catalogs, shoppers may look for products based on specifications, compatibility, materials, or other characteristics.
Customers may search using:

• material or specification;
• compatibility requirements;
• product type;
• brand or model;
• technical attributes.

For example, a customer looking for replacement parts may search by compatibility details, while a B2B buyer may look for products based on dimensions, performance characteristics, or manufacturer information.

Solution

Searchanise Search & Filter helps merchants make more product information searchable by using data stored in Shopify product fields, including tags, attributes, and metafields.

Instead of relying only on product titles, merchants can create more discovery paths based on the information customers actually use when making purchase decisions.

Shopper benefit

Customers can discover relevant products even when their search terms do not exactly match the product title. They can search using the information they already know instead of guessing the exact product name.

Merchant benefit

Structured product data gives customers additional ways to discover products that may otherwise be difficult to find within a large catalog.

Problem

Large Shopify catalogs often contain many similar products. Even after customers reach the correct collection, they may still need to browse through dozens of pages to find the right option.

Shopify product filters help shoppers who already know which characteristics matter for their purchase decision, such as brand, size, compatibility, price range, or technical specifications.

Solution

Searchanise Search & Filter helps Shopify stores create Shopify collection filters based on product data, including attributes, tags, and metafields.

Merchants can organize filters around the characteristics shoppers actually use when making purchase decisions.

For example:

Industrial equipment catalog:

• manufacturer;
• product type;
• technical specifications;
• compatibility;
• dimensions;
• availability.

Electronics catalog:

• brand;
• screen size;
• storage capacity;
• operating system;
• product features.

Shopper benefit

Customers can narrow large product selections based on the exact requirements they already know.

Merchant benefit

Shopify filters for large catalogs give shoppers more ways to narrow product selections, while allowing merchants to organize navigation around the attributes that matter to their customers.

Problem

Large catalogs can make it difficult for shoppers to find the right product and discover relevant alternatives. Search helps customers find products based on their intent, while filters help narrow large result sets. But some shoppers may also benefit from seeing relevant products they would not have found through their initial search.

Solution

Searchanise Search & Filter combines search, advanced filtering, and recommendation widgets to support different product discovery paths.

A shopper can:

1. Search for a product or category.
2. Filter the results by relevant characteristics.
3. Discover recommendations displayed as product blocks on pages such as search results, collections, product pages, and the cart.

For example:

Search:

"commercial coffee machines"

Filters:

brand; capacity; voltage; price

Recommendations:

similar or related coffee machines, complementary products, or other relevant products.

This means recommendations don't have to wait until after the shopper finds a product. They can be part of the discovery experience throughout the store.

Shopper benefit

Customers can narrow down what they are looking for while also discovering relevant products and alternatives.

Merchant benefit

Merchants can use search, filters, and recommendation blocks together to create more product discovery opportunities across a large catalog.

Large catalogs often need more than search and filters. Searchanise also provides tools that help merchants control and improve the product discovery experience:

• Synonyms and Typo Tolerance — help customers find relevant products when they use different terms or make spelling mistakes.
• Merchandising — control product rankings and visibility in search and category results.
• Search Analytics — identify popular searches, searches with no results, clicked products, and other search behavior.

Together, these tools give merchants more control over how shoppers discover products across a large catalog, without managing separate solutions for each part of the experience.

Bicycle Warehouse manages a Shopify catalog of around 100,000 SKUs. As the catalog grew, the store needed more flexible ways to help shoppers find products and navigate a large number of similar items.

The challenge was not product availability, but product discovery: shoppers needed to search, refine results, and find relevant products without manually browsing the catalog.

Searchanise helped Bicycle Warehouse improve product discovery with filters, synonyms, and merchandising, giving the store more ways to manage how products are presented and discovered across its catalog.

This supported different shopper needs, from finding products by category or brand to narrowing results by relevant characteristics.

Search and filters work together to help shoppers move from a broad product search to a more specific selection.

For example:

Search:

"mountain bikes"

Filters:

brand · size · price · specifications

This gives shoppers a more direct way to narrow a large selection and find products that match their requirements.

By improving Shopify site search and navigation, Bicycle Warehouse achieved a 15–20% increase in conversion, with 25–30% of all orders flowing through search, while managing more than 100,000 SKUs.

For merchants, the case demonstrates how combining search, filtering, and merchandising can make a large catalog easier to manage and give shoppers more ways to discover relevant products.