Ecommerce site search: help shoppers find the right products

Customers rarely describe a product exactly as it appears in a supplier catalogue. Someone searching your online shop may know its purpose, material, size or an alternative name. If the results are empty or confusing, changing the search button's appearance will not solve the underlying problem.

This guide helps UK retail teams improve product discovery within their own store. It includes a reusable search test sheet and a fictional homeware example. Store search and Google Search are different systems: the changes below are primarily about helping people who have already reached your shop.

Collect the searches your customers actually make

Start with available search reports and the wording customers use in support questions. Select a manageable set of queries covering popular products, alternative names, broad categories, specific attributes and genuinely unavailable items. Remove personal information before sharing examples with a supplier or developer.

For each query, record the expected useful result, the actual result and the action the visitor can take. Test while signed out of the store's administration interface. Use both a phone and a desktop because the visible suggestions, filters and result layout may differ.

Do not fix every empty result by forcing a product into it. A search for an item you do not sell is different from a search using an unfamiliar name for something you stock. The appropriate response may be a useful category, an honest unavailable message or a clear way to ask a question.

Build a small search acceptance sheet

The table below uses a fictional homeware shop selling storage and furniture. Replace these examples with your own catalogue and customer language. The expected outcomes are test requirements, not observations from a real shop.

Add columns for device, result count, first useful result, selected filters, owner and retest date. A result is not useful merely because its title contains the query. Open it and check its dimensions, availability and product information against the shopper's stated need.

Improve product data before adding more software

Review the fields that explain what the product is. Use consistent product types, units, material names and dimensions. Separate descriptive marketing language from attributes shoppers need to compare. If a cabinet's width exists only inside a photograph, visitors and filtering tools may struggle to use it.

Agree how your team handles missing attributes. “Not recorded” should not silently become a claim that a product meets a particular requirement. Assign responsibility for maintaining catalogue data when products change, rather than treating the first import as a permanent solution.

For the fictional shop, the first change might be recording usable widths consistently and giving storage products clear category assignments. That can be more useful than adding a complex recommendation system to inconsistent data. Our guide to product comparison covers the next decision once customers have found plausible options.

Use synonyms and filters deliberately

If you use Shopify, its Search & Discovery documentation explains synonym groups and product boosts. Shopify explicitly distinguishes these store-search adjustments from rankings in external search engines. Check the current behaviour of your theme and search configuration before assuming that a setting will affect every search surface.

Make a synonym group only when the terms reasonably describe the same thing. A shoe cabinet and a shoe storage unit may overlap; treating every storage product as a bookcase would make the results less reliable. Retest both the original query and the alternate term after each change.

Choose filters that help a real purchase decision. For a furniture collection, width, material and availability may matter more than a long list of supplier labels. On a phone, the selected filters should remain understandable, removable and compatible with returning from a product page. A clear reset action helps someone recover from a combination that produces no results.

Design a helpful route through empty results

Keep the visitor's query visible so they can edit it. Explain that no matching results were found and suggest a relevant next step: change a term, remove a filter, browse a category or contact the shop about a specific item. Do not present an unrelated bestseller as though it answered the request.

If an unavailable product has a genuine alternative, explain the difference. A narrower cabinet, another material or a later delivery date can change suitability. The customer needs enough information to make that decision rather than being pushed towards an item solely because it is in stock.

For a product the shop regularly receives questions about, the owner may need to improve purchasing, merchandising or delivery information. Search reports can reveal that conversation; they do not by themselves establish how much revenue has been lost.

Measure discovery and the journey after it

Shopify's search reporting guide describes reports for search queries, empty results, results without clicks, click rate and purchase rate. It also notes that these search-performance reports cover the results page rather than interactions with predictive search. Keep that distinction in any before-and-after comparison.

Repeat your acceptance sheet after changes and compare similar periods, allowing for promotions, stock changes and seasonality. Review whether customers can find suitable products, understand them and complete checkout. More result clicks alone do not show that the purchase experience improved.

A Website Grader check can provide an initial view of the broader site, but the search tests need your actual catalogue and customer language. Our eCommerce service connects product discovery to checkout, while our online retail solutions show the wider customer journey. After purchase, the separate order-to-dispatch guide helps plan the operational handover.