Ecommerce website development needs search and filters that reflect how customers choose products. Organise product attributes consistently, test realistic searches and check the mobile experience. Agree on how the website will manage the URLs generated by different filter combinations, so useful navigation does not create unnecessary technical complexity.
- Choose filters that make sense for each product category.
- Use consistent names for attributes and options.
- Test searches using the words customers actually use.
- Check results, empty lists and the mobile experience.
Ecommerce website development needs to answer a simple question. Can visitors find the right product without already knowing your catalogue? When search returns irrelevant suggestions or filters hide available products, customers encounter difficulties before they even reach a product page.
Why should ecommerce website development start with catalogue organisation?
Search and filters need consistent product information to work correctly. When attributes are incomplete or fragmented, even a carefully designed interface can return incomplete results.
Consider a homeware store where the same material appears as “stainless steel”, “inox” and “stainless”. If these entries are treated as separate options, customers may only see part of the relevant range.
Before designing product filters, agree on standard names, units of measurement and required fields. A “diameter” field should follow the same format throughout the relevant category.
Ecommerce website development therefore includes decisions about catalogue content. Clarify who organises attributes and who checks information imported from suppliers. Adding new products should follow the same rules as the original catalogue.
Wechevo’s ecommerce website development service includes catalogue organisation, filters and product search. These functions should be designed around the actual categories you sell.
Which filters does each category need?
Each category needs filters that reflect the buyer’s main selection criteria. Copying the same filter list across the entire store can introduce unnecessary complexity.
A product filter is an option that narrows a list of results according to a particular attribute. The useful attributes depend on the product.
For shoes, size may be decisive. For lighting, visitors may care about dimensions and installation type. For spare parts, compatibility may matter before price.
| Category | Potentially useful filters | What needs attention |
|---|---|---|
| Shoes | Size, intended use, colour | Availability of the selected size |
| Lighting | Type, dimensions, colour | Consistent units and terminology |
| Spare parts | Manufacturer, model, compatibility | Verified compatibility information |
| Bags | Intended use, capacity, dimensions | Clear distinctions between attributes |
| Tools | Task, power source, brand | Separation of tools and accessories |
These are planning examples. For your catalogue, start with the questions customers ask before choosing a product.
During ecommerce website development, request a working category populated with real products. This lets you assess the filters before applying them throughout the store.
Check whether each option narrows the range meaningfully. A filter with dozens of unclear values may make the decision harder, especially on a small screen.
How do you check whether search understands your customers?
Test search with different ways of expressing the same need. Include product names, codes, synonyms and common spelling mistakes, without assuming the system supports them automatically.
Internal search is the function that searches within your online store. It differs from Google Search and depends on your website’s implementation and settings.
For a hypothetical tool store, you might test “cordless drill”, “battery drill” and an actual model number. Record whether the appropriate product appears and how easily it can be identified among the results.
Different terms do not necessarily need to return identical lists. However, results should be relevant, and suggested products should make sense for the query.
Ecommerce website development should specify what search supports. Phrases such as “smart search” and “AI search” need a demonstration using your products.
Also check the order of results. An exact model-code match should be easy to find rather than buried among products containing loosely related words. Ask your provider to explain how relevance is configured and how corrections can be made.
What should happen when there are no results?
An empty results page should explain what happened and offer a clear next step. Visitors need a way to change their search or remove restrictions.
Someone selecting a size, colour and price range may create a combination with no available products. Show the active selections and allow each filter to be removed individually.
“No products found” becomes more useful when accompanied by actions such as changing the search term, clearing filters or returning to the relevant category.
Distinguish between a product that is absent from the catalogue and one that is temporarily out of stock. How you present each situation may depend on your store’s availability policy.
Agree on these scenarios during ecommerce website development. Ecommerce navigation should remain useful even when the first search does not lead to a purchase.
On mobile, check whether active selections remain visible after the filter panel closes. Customers should understand why they are only seeing two products and how to broaden the selection.
How do filters affect your presence on Google?
Filter combinations can create many different URLs for similar product lists. Your technical team needs to decide which pages offer search value and how the remaining combinations should be managed.
Faceted navigation allows visitors to narrow results using multiple attributes. Google explains that implementations based on URL parameters can generate extremely large numbers of URLs and unnecessary crawling. See its guidance on managing faceted navigation URLs.
For the business owner, the practical question is which categories should serve as stable search landing pages and which combinations only support a visitor’s temporary selection.
An organised “cordless drills” category may serve a different purpose from a temporary combination of price, colour and sorting order. The decision requires an assessment of your catalogue and relevant demand.
Connect ecommerce website development with SEO services before deciding how filter URLs will be handled. Seeking Google visibility for every possible combination is not a useful default strategy.
Ask for a clear explanation of the chosen approach. You should understand which pages are intended for search visibility without needing to manage the technical settings yourself.
How do you test and improve the experience?
Use a small set of realistic scenarios and repeat the same tests after changes. Combine manual checks with usage data where measurement has been configured correctly.
- Choose reference products. Include popular items, variants and products with complex attributes.
- Write different searches. Use names, model codes and everyday descriptions.
- Combine filters. Check whether selections display the correct products and available variants.
- Test the return journey. Open a product and return to the list to see whether your selections remain.
- Check mobile behaviour. Test typing, opening filters and clearing selections.
- Record findings. Note the exact search, expected result and actual behaviour.
Google Analytics can record search-results views through enhanced measurement when it detects the relevant URL parameters. This needs to be verified for your implementation. See the documentation on internal search measurement.
Recording a search does not, by itself, establish whether the results were correct. Tracking searches that return no results, for example, may require additional implementation.
Ecommerce website development should therefore include agreement on checks after launch. New products and changes to attributes can affect search behaviour.
Assign someone to review recurring problems and maintain the catalogue. A corrected filter can become unreliable again if subsequent imports use inconsistent attribute names.
From our experience
For The Scoop Plug, the store presentation was organised around categories, brands and visitor goals. The project provides a practical example of offering different routes into a product catalogue.
The same principle applies to ecommerce website development in other sectors. One visitor may begin with a preferred brand, while another starts with an intended use.
The available project evidence does not include a measured sales increase attributable to filters or internal search. We do not claim that outcome without separate supporting data.
What should you do next?
Choose five products and try to find them on your phone without using direct links. Record the searches and filters that make the process difficult.
If you are planning ecommerce website development or improving an existing catalogue, contact Wechevo. Bring a few real examples so the proposed changes address specific difficulties in the shopping journey.
Frequently asked questions
Does a small online store need filters?
A small store may work well with a few clear categories and simple sorting. Filters become useful when they help customers distinguish between meaningful options. Assess how many products appear together and which attributes influence the purchase, rather than adding functionality simply because larger stores use it.
Should I display out-of-stock products?
The decision depends on your catalogue and availability policy. If a product is expected to return, keeping it visible with a clear availability message may be helpful. Customers should always understand which variant is available and have a way to narrow their search when appropriate.
Do I need AI-powered search?
The need depends on product complexity and how your customers search. Start by checking the accuracy of your data and the performance of the existing function. If you are considering AI search, request testing with real queries, clear pricing and measurable evaluation criteria before deciding to implement it.
Why does a product disappear when I apply a filter?
The product may have a missing attribute, a differently named value or availability that does not match the selection. The filter configuration may also be responsible. Check the product entry first, then the implementation, using a specific product and repeatable test steps to identify the cause.
Want a website that brings customers? Talk to the Wechevo team for a free initial assessment.
Athanasios Charatsaris is the founder of Wechevo. He designs and builds websites and e-shops for Greek businesses and leads the strategy that helps them appear on Google and in AI answers (SEO & AEO), as well as Google…
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