Optimising on-site search helps UK e-commerce websites convert more visitors into buyers by making it easier for customers to find products quickly. A well-tuned search function reduces bounce rates and supports better user experience across desktop and mobile devices.
This guide explains how to select and implement popular search terms, design effective autocomplete, improve results relevance, and track performance with analytics. The advice applies to common UK platforms including Shopify, WooCommerce and Magento.
Understanding the importance of on-site search
On-site search is one of the most used features on e-commerce websites. When customers cannot find what they need, they often leave the site. Good search functionality addresses common shopper behaviours such as looking for specific product types, brands, sizes or colours.
In the UK market, shoppers frequently use descriptive phrases rather than single keywords. Optimising for these patterns can increase the chance that a visitor completes a purchase. The following sections provide concrete steps to achieve this without relying on guesswork.
Researching popular search terms
Start by reviewing internal site data and platform reports to identify terms already used by visitors. Shopify, WooCommerce and Magento each provide basic search logs that show entered phrases. Export these periodically and sort by frequency.
- Look for misspellings that appear often and consider adding redirects or synonym mappings.
- Check product category and filter data to see which attributes (such as "waterproof" or "organic") are popular in your niche.
- Use free tools such as Google Keyword Planner or the search suggestions in Google itself to find related terms that match your product range.
Compile a master list of 50 to 100 terms grouped by category. Update this list every quarter because customer language changes with seasons and trends. For a clothing store this might include terms such as "men's winter jacket" or "cotton t-shirt pack".
Implementing autocomplete functionality
Autocomplete reduces typing effort and guides users toward relevant products. Most modern platforms offer built-in autocomplete or support extensions that can be configured.
On Shopify, enable predictive search in the theme settings and customise the number of suggestions shown. For WooCommerce, plugins such as Ajax Search Pro allow control over which fields are searched. Magento users can adjust the Elasticsearch configuration to prioritise certain attributes.
- Limit suggestions to 8–10 items to avoid overwhelming the user.
- Include both product names and category links in the dropdown.
- Display small thumbnail images alongside text where possible to improve recognition.
- Test on mobile devices because many UK shoppers browse on phones and need larger touch targets.
Ensure autocomplete updates in real time as the user types and respects any merchandising rules such as promoting sale items higher when appropriate.
Improving search results relevance
Relevance determines whether the first few results match what the customer expects. Poor relevance leads to abandoned sessions.
Begin by ensuring all products have complete and consistent metadata. This includes titles, descriptions, SKU numbers, colour and size attributes. On Shopify this is managed in the product admin; WooCommerce uses custom fields; Magento uses attribute sets.
Configure the search engine to weigh fields differently. For example, give higher importance to product title and SKU than to long descriptions. Add synonym rules so that "sneakers" returns trainers and vice versa. Most platforms allow these rules in their search settings or through third-party apps.
Use faceted navigation so users can refine results by price, brand, rating or availability. Test different sorting options such as "best match", "price low to high" and "newest first" to see which performs better for your audience. Review search sessions where no results were returned and add missing products or adjust spelling corrections accordingly.
Setting up analytics tracking
Without measurement it is impossible to know whether changes improve performance. All major platforms support integration with Google Analytics or similar tools.
Track these key events:
- Number of searches performed per session.
- Search terms used and their frequency.
- Percentage of searches that return zero results.
- Click-through rate from search results to product pages.
- Conversion rate from search sessions to completed orders.
In Google Analytics 4 create custom events for search interactions. Shopify and WooCommerce have apps that simplify this setup. Review the data monthly and focus first on the terms that drive the highest volume but have low conversion. Adjust relevance settings or product data based on what you observe.
Consider heat-mapping tools to see where users click within the search results page. This visual data often reveals whether important filters are being missed.
Common pitfalls and maintenance
Many UK stores overlook ongoing maintenance. Search performance can degrade as inventory changes or new products are added. Schedule a monthly review of search logs and zero-result queries.
Avoid overloading product descriptions with irrelevant keywords because this can reduce relevance. Keep URLs clean and use 301 redirects when product names change so that old search bookmarks continue to work.
Test search after every major site update. Mobile performance should be checked separately because autocomplete and result layouts can behave differently on smaller screens. Document the changes you make so that you can measure their effect over time.
Putting it all together
Combine the steps above into a repeatable process. Maintain a living document that lists target search terms, current synonym rules, and analytics findings. Assign one person to review the data each month and make incremental adjustments rather than large changes all at once.
Founders based in West Yorkshire can access free desk space and mentoring at Loomworks in Liversedge while they implement these improvements. Consistent attention to on-site search typically produces measurable gains in conversion without requiring major redesigns of the store.
Frequently asked questions
How often should I update my on-site search settings?
Review search logs and performance data at least once per month. Update synonym rules, autocomplete suggestions and relevance weights whenever you add a significant number of new products or notice a change in common search phrases. Seasonal businesses may need more frequent checks.
Does autocomplete work on mobile devices?
Most modern e-commerce platforms support autocomplete on mobile. Ensure the dropdown is easy to tap and does not obscure too much of the screen. Test with real devices because keyboard behaviour and screen size affect usability for UK shoppers.
What should I do about searches that return no results?
Log these terms and either add the missing products, create synonym mappings, or improve spelling correction. Show helpful suggestions such as similar products or popular categories instead of a blank page. This reduces frustration and keeps visitors on the site.
Can I improve search without installing extra plugins?
Yes. Start by improving product titles, descriptions and attributes within the platform admin. Most platforms allow basic relevance tuning and synonym management without additional tools. Only add plugins once the fundamentals are in place.
How do I track which search terms lead to sales?
Use Google Analytics or the built-in reporting of your e-commerce platform. Set up events that record the search term, whether a product was viewed, added to cart and whether the order was completed. Conversion rates vary widely; benchmark against your own data.
Related reading: Adding product videos to boost UK e-commerce conversions, Using Shopify POS for UK online and physical retail hybrid businesses, Building a headless WooCommerce store for better speed and UX. Browse all e-commerce setup guides or apply to Loomworks.