Scaling ecommerce stores have thousands of SKUs. While categories and collections go a long way in making these products more discoverable, online shoppers still need to uncover the exact product type, variation, and price point that fits their purchase criteria.
Ecommerce site search makes that possible. It’s an internal search engine that retrieves the most relevant content—be that products or information pages—related to a shopper’s query. A seamless and intuitive search experience goes a long way in improving customer satisfaction, increasing sales, and reducing bounce rates.
This guide shares how to optimize your ecommerce site search, complete with guidance on how to choose a site search provider so you can improve ecommerce performance.
What is ecommerce site search and how does it work?
An ecommerce site search solution is a third-party tool used on your site to sync customer search queries with product titles, variants, descriptions, images, videos, SKUs, and reordering codes.
It involves a search box where users can enter keywords or phrases, and a search algorithm that matches the query to relevant product pages on the website. The internal search engine connects these search terms with products and pages labeled in your ecommerce back end to provide personalized recommendations on demand and at scale.
“As a Shopify merchant selling home furnishings, optimizing our site’s search is crucial. Ecommerce product searches drive nearly 40% of online sales,” says Zach Dannett, cofounder of Tumble. “By fine-tuning search relevance, we make it effortless for customers to discover our most relevant items. The goal is to serve up products matching search terms and intent. With thousands of SKUs, nailing search is key to higher conversions.”
15 ecommerce site search best practices
1. Ensure products are accurately named and tagged
Before any thought goes into optimizing your search engine, you need to ensure the back end of your website is configured to display accurate results.
“Our top technique for improving ecommerce search experiences is refining and expanding our product tagging strategy,” says Erin LaCkore, founder of jewelry brand LaCkore Couture. “Tags are critical for accurate search results, so we’ve put significant effort into ensuring every product is well-tagged with relevant, searchable terms.”
After restructuring their tagging approach, LaCkore Couture saw a 15% increase in search-driven conversions. This shows that strategic improvements can yield substantial results even within the default search function.
Richard O’Connor of First Mats also suggests using search analytics to discover the terms your target audience is actively searching for. This will allow you to learn the language and phrases people use for your products.
“For example, if your store sells men’s shoes, you may find that users search for loafers, brogues, and other specific shoe types,” says Richard. “Make sure you’re using these terms on the relevant products in your store to ensure that customers find them when using the search function.”
2. Provide a clear and prominent search box
The search bar on your ecommerce store is one of the most interacted-with elements. Studies show 69% of consumers go straight to the search box when they visit an online store. This figure may be higher for returning visitors who weren’t able to find the item they wanted to buy in a previous shopping session.
Simplify the user experience by making the search box prominent on both desktop and mobile versions of your online store. That might mean:
- Using a sticky header containing a search box that’s easily accessible wherever a shopper is on the page
- Displaying a search icon in your ecommerce navigation bar
- Incorporating a secondary search box in your website footer
3. Use autocomplete to suggest popular search terms and products
Being able to handle errors without manual interception is another key requirement for a third-party site search solution, which is often aided by natural language processing (NLP) and machine learning features.
Homeware brand Nathan James, for example, offers search suggestions for each query. A search for “light” displays a list of product recommendations and collections alongside related terms like “vanity light” and “pendant lights.”
When mirror brand Inyouths implemented their machine-learning-powered search autocomplete feature, it helped reduce their bounce rate by 23% and improve their conversion rate by 17% over a six-month period.
“It also increased the average session duration and the number of pages visitors viewed per session,” says Inyouths cofounder Kevin Wang.
4. Use natural language processing to understand user intent
The demand for natural language processing within search has increased, allowing for accurate results even when the user can’t describe what they’re looking for. Some 38% of sites don’t fully support symptom-based searches, resulting in lost sales when shoppers search things like “dry skin relief” or “stained carpet remover.”
Adopted by the likes of Google, NLP-based search is an established part of ecommerce, driving real change in online customer experience. NLP algorithms are based on context and relevance, rather than the presence or absence of keywords in product names or descriptions.
For example, NLP understands that a visitor who types in “red jumper” is happy to look at sweaters and pullovers, even though the product descriptions don’t contain the term “jumper.” The same applies to color and being able to understand variations of red.
5. Allow for misspellings and synonyms in search queries
High-converting ecommerce customer experiences are accessible. Not all shoppers, including the 5% to 10% of the world’s population who have dyslexia, have the ability to accurately spell your product’s name or description. Of those who can, it’s uncommon to delete an incorrectly spelled word and initiate another search. Those are seconds a modern shopper can’t afford to waste.
Cater to these people by allowing them to make spelling mistakes in their site search. Choose a provider that can recognize typos, commonly misspelled words, and synonyms. That way, shoppers still see relevant results even if their original query isn’t accurate.
6. Use faceted search to allow users to filter results
Faceted search, also known as smart filters, help customers narrow down search results even further. They help retain those 27% of consumers who leave a site because the search results showed too many options.
“One technique we’ve implemented to improve ecommerce search experiences is changing the results page layout to include more filters such as product type, color, size, etc.,” says Ricky Allen, marketing director at Ever Wallpaper. “This helps customers narrow their options and find what they’re looking for faster. Our conversion rate increased by 12% after implementing this change, and the customer feedback has been overwhelmingly positive.”
7. Add rich merchandising capabilities to site search solutions
Many merchants look for a third-party search engine because their current setup lacks merchandising features, like a way to change the ordering of products in search results and the ability to feature user-generated content.
This is a huge disadvantage, especially considering more than half of online shoppers are likely to engage with user-generated content—such as images, reviews, and videos—if it is shown in relevant search results. The same report found 54% of shoppers are likely to buy products after consuming this type of content.
This example from Luvme Hair shows a rich instant search interface which displays various product attributes such as:
- Thumbnails
- Product reviews
- Sale prices and discounts
Suggested categories can also be displayed in the quick-search interface, as well as nonproduct search results such as customer service pages, blog posts, size guides, or even recipe ideas. Some site search engines show the full result set in the dropdown, with scrolling and faceted search filters.
The features that are important in this area include the ability to:
- Assign hero SKUs across specific queries and groups of queries
- Handle visual merchandise-specific queries and groups of queries
- Create rules for boosting a specific selection of products (across individual queries and groups of queries)
- Handle variant-specific queries
- Include product labels
- Include attribute-based (tags and metafields) filtering in the quick-search interface and on the search results page
- Add recommended results to zero-result search errors
The payoff for this level of detail can be huge. Military collectables seller International Military Antiques credits InstantSearch+ for helping them create detailed search rules for more than 7,500 products with unique attributes like type, time period, and nationality.
The result was a 600% lift in conversions among visitors who use their onsite search.
8. Prioritize search results based on relevance and popularity
Most enterprise-level retailers have adopted machine learning-based solutions, be it via onsite product recommendations, category merchandising, or onsite messaging and content.
Personalization is a new area that’s been introduced by a number of the different providers, essentially promoting products based on individual user behavior. For example, after a user has been browsing men’s clothing on Gymshark’s ecommerce websites, search results for “shorts” display men’s shorts.
The use of machine learning adds a second layer of accuracy, prioritizing products based on performance. It also ensures results are improved over time based on learning from user behavior on the site.
What happens if your ecommerce site search doesn’t pull any products related to a potential customer’s search term? Don’t shortchange users with a “no products found” message. Instead, display products often bought by people searching similar terms. Almost a quarter of consumers think ecommerce merchants could improve their site search experience by offering alternative products when no exact matches are found.
9. Use analytics to gain insights into user behavior and search trends
Ecommerce merchants can use search analytics to identify popular products, search terms, and trends. This information can be used to improve product offerings, website design, and marketing campaigns.
Important information to pay attention to includes:
- Query usage and search term counts
- Filtering usage and number of filters used
- Top-performing queries (conversions)
- Top-performing products (conversions and clicks)
- Underperforming queries (conversions)
- Where queries are being performed (pages)
- Where queries are being performed (geographically)
- Zero-result queries
High-volume search phrases that convert weakly are worth attention. They could indicate a problem with product inventory—or they could lead to new product offerings. These queries can also dictate merchandising decisions and actions. You could prioritize restocking items that are highly searched for but frequently out of stock.
Where on your website searches are being performed is another report to consider, as it usually highlights an issue with product or merchandising. For example, if shoppers browsing your stationery category often head to the search feature in their quest to find a matching stationery set, make the product discovery journey easier by displaying sets together on the collection page.
10. Optimize search results for mobile devices
More people access the internet through smartphones and mobile devices than through desktop computers. By 2025, it’s estimated mobile shoppers will account for 44.2% of all online sales. Ecommerce is critically dependent on a robust mobile strategy.
Experiment with using search as the primary user journey on mobile. A traditional menu-based navigation can be harder and slower to use on mobile where just a one-second delay in page load speeds can sabotage conversions.
Jewelry brand Moriaty’s Gem Art benefited from making their mobile search bar more visible. The merchant attributes a considerable uplift in conversion rates on mobile to increasing search usage.
“We tracked our visitors through Google Analytics and saw that when people used our website’s internal search bar on their mobile device, the conversion rate was four times that of those who didn’t,” says Jeff Moriarty, digital marketing manager. “We immediately tested and moved it to be visible at the header of our website.
“The results were pretty incredible. For those visitors that had the mobile bar visible, we increased our conversion rate from 3.1% to 4.2%. Due to these results, we now have it visible 100% of the time.”
11. Use A/B testing to continuously improve search performance
A/B testing can be used to compare a new variation of your search functionality against the original. Online shoppers who fall in the variant group interact with the new feature. You’ll collect data about how these people interact with the search function compared to your control group.
You can A/B test several elements of the search functionality, from displaying customer reviews in the results page to expanding the pool of products returned for a zero-result query. Be sure to limit the changes to one per test. If too many things differ between the control and variant groups, you can’t accurately attribute the result to a single change.
Natalie Thomas, director of conversion rate optimization and UX strategy at The Good, recommends testing an instructional search prompt, because instructional search encourages intentional browsing, improves UX, and boosts conversions.
“During research for one client, user tests and session recordings revealed that customers primarily navigate through the search bar,” Natalie says. “We also found that customers only engage with select menu categories. Our team hypothesized that adding friendly microcopy and enhancing search bar visibility would encourage the use of search and in turn, increase transactions.”
Natalie says the team put this to the test, enhancing the search bar visibility with a white background and updating the language to “Try [search term].”
“It delivered over $3 million in revenue gains,” says Natalie.
12. Offer support for nonproduct searches
Not everyone using an ecommerce search feature is looking for products. According to Baymard’s usability testing study, more than a third of online shoppers use a retailer’s search box to discover nonproduct information such as:
- “About Us” page
- Shipping information
- Returns policy
- Order cancellation
- Size guides
- Unsubscribing from a subscription
The same study found 39% of ecommerce sites don’t fully support nonproduct searches. Incorporating this functionality into your site search is not only a competitive advantage, but a helping hand to customers who are using search to learn about your company.
13. Localize your search experience
For stores with international or multilingual audiences, offering search in multiple languages, and even localizing results based on regional context, can be huge.
For example, a query in Spanish or French should produce accurate product results, rather than a “no results found” dead end. Localizing search helps reflect regional naming conventions (e.g., “trainers” versus “sneakers,” “jumper” versus “sweater”) and shipping/pickup options specific to that region.
You can recognize the shopper’s IP location (if appropriate), or allow them to toggle between language/country settings.
14. Make search more accessible
According to the CDC, one in every four people in the US have some form of disability, whether visual, auditory, mobility-based, or cognitive. If your search interface isn’t designed to accommodate these users, you risk losing a segment of potential customers.
Providing an inclusive experience shows you respect and value all customers. Focus on these five areas to make your onsite search more user-friendly:
- Use ARIA or descriptive labels (e.g., “Main site search” rather than just “search”) so screen readers can announce it properly.
- Ensure users can tab to the search input and autocomplete suggestions.
- Stick to at least a 4.5:1 contrast ratio for text and backgrounds.
- Support common misspellings (“Did you mean?”) so dyslexic users aren’t penalized with zero-results pages.
- For zero results, provide helpful tips or product suggestions so screen readers can read them out loud.
15. Make search visual
The human brain is wired for visual processing. Seeing product thumbnails with prices and ratings can help shoppers pick the right items faster.
Add product thumbnails and “quick info” (price, stock levels, star ratings) to your existing autocomplete dropdown. More product data helps shoppers decide at a glance whether an item is relevant, and speeds up discovery. If you operate in a highly style-driven industry like fashion or home decor, consider an image-based search option where shoppers can snap a photo of a product they saw.
Best ecommerce site search solutions
The best search technology helps shoppers find the right products quickly and easily. Plus, they are cost-effective and easy to implement for your brand. Here are the top solutions.
Search & Discovery
The Shopify Search & Discovery app is a free tool that helps enhance your online store's search and product-discovery capabilities.
For starters, you can set up custom filters, so shoppers can narrow down their search by different categories. This way, they don't have to scroll through pages and pages of stuff they don't want. Say you sell hoodies, but some of your customers call them "sweatshirts." You can create a synonym group so that when they search for "sweatshirts," your hoodies pop up in the results.
If you've got products you really want to showcase, you can give them a boost so they show up at the top of the search results. To help shoppers discover more of your awesome products, the app can recommend related items on each product page.
Home furnishing brand Tumble leverages Shopify Search & Discovery functionality to power their website. “The seamless integration, ongoing enhancements, customization, scalability, and cost-effectiveness make Shopify search a great fit,” says Tumble cofounder Zach Dannett. “We can optimize keywords, tags, and titles to uncover high-value terms and enhance discovery. The payoff is a personalized, streamlined search experience that fuels customer satisfaction and sales.”
“We also leverage artificial intelligence like Shopify’s Keyword Manager to uncover high-value search terms,” Zach says. “Descriptive product titles and tags further optimize discovery. The payoff is that customers can easily find and buy what they’re looking for in just a few clicks.”
Klevu
Klevu is an advanced AI-powered search and product-discovery platform that helps businesses increase conversion rates and average order value. Shoppers enjoy a more personalized experience, with search results and product recommendations tailored to their preferences.
Behind the scenes, teams can leverage Klevu's intuitive merchandising dashboard to fine-tune their search strategy and maximize revenue. With seamless integration with Shopify Markets, merchants can confidently expand their reach, knowing that Klevu will provide a consistent, optimized shopping experience across borders.
Algolia
Algolia helps your website understand what customers are searching for, even when they use different words. It shows them exactly what they want to buy, quickly and easily.
The search is fast on phones, tablets, and computers, and can handle high volumes of searchers at once. Some other features include:
- Changes search results based on what each customer likes
- Suggests other items customers might want to buy
- Lets you easily control which products show up first
- Shows you which search terms lead to the most sales
Findify
Findify makes it easy for customers to search your online store and find what they want. It uses smart technology to understand what people seek, and shows them personalized results. You can let the system work automatically or control how products are shown to customers.
Findify offers search capabilities like:
- Understands what customers are searching for, even if they use different words
- Lets you easily control which products show up first
- Can be changed to look exactly how you want it to
- Shows helpful filters and product reviews to help customers shop
- Updates product information quickly whenever you make changes
The benefits of using site search in your online store
Recent research by the Baymard Institute looked at more than 5,000 UX performance ratings, and found that 41% of ecommerce sites fail to fully support the most common types of search queries. Even fundamental queries, like searching by a product’s exact name or SKU, can produce zero relevant results on some stores.
If shoppers hit a dead end on something as basic as a model name or product type, they’ll assume you don’t carry it. A few missed searches might not sound massive, but over time, those are substantial conversions walking out the virtual door.
Improved user experience
Site search helps customers find products quickly and easily, improving the overall ecommerce user experience. Research by Nosto found 80% of consumers have exited a site after interacting with a poorly performing search function.
Increased conversions and sales
Customers who use site search are more likely to convert and make a purchase. The same Nosto report found 79% of consumers are likely to buy a product they’ve searched for using a merchant’s site search feature.
Valuable insights into customer behavior
Site search data provides insights into what customers are searching for and what products are popular. Use this information to make inventory and marketing decisions.
Personalization
Site search can be personalized to show relevant products based on a customer’s search history or preferences. This impacts revenue. Studies show 7 in 10 consumers are likely to complete a purchase if the results are personalized to their purchase history.
Higher average order value
Richard O’Connor, strategic marketing director of First Mats, finds search can indicate a high-intent shopper.
“For our store, only around 2% of our visitors use the search function,” says Richard. “But those who do are over 500% more likely to convert than those who don’t use search, and they spend 600% more per user too.”
Competitive advantage
A good site search can give businesses a competitive advantage by providing a better user experience and driving more sales.
“From my own experience with sites in the enterprise space, I’ve found the average conversion rate increases to be closer to 3.5 times non-search visitors, with around 5% to 10% of visitors using search,” says Paul Rogers, cofounder of ecommerce consultancy Vervaunt.
Choosing an ecommerce site search provider
Ecommerce search has become mainstream in recent years. Options exist for merchants of all sizes, with enterprise-level solutions available for as little as $200 per month. This availability has driven a surge in popularity and usage.
Simplify the decision-making process by evaluating ecommerce site search solutions based on the following criteria:
Features
Essential features for an ecommerce site search vary from business to business. Growing organizations are more likely to need natural language processing and machine learning features from internal search engine providers.
Integrations
Confirm each solution on your shortlist is compatible with your existing ecommerce toolstack. This includes your ecommerce platform, API clients, and customer profiling software.
Customization
The more customization features, the greater your ability to provide unique online experiences. Site search tools that allow you to customize the functionality are more likely to grow with you as your online store scales, reducing the need to switch to another platform later down the line.
Performance
With site search being such an important element of your site, you can’t afford to disrupt customer experiences if the platform goes down. Check each provider’s uptime report and confirm there are plans in place to keep the functionality available if an unexpected problem occurs.
Reporting on your ecommerce site search
For many merchants, the search bar is underutilized and often neglected in favor of new, shiny design elements. The opposite is true for online shoppers who flock to the search bar to speed up their product-discovery journey.
Use the ecommerce search best practices outlined here to connect shoppers with the products they’re actively searching for. Whether you’re using NLP to understand user intent or rich merchandising features to showcase each SKU in its best light, merchants that optimize their ecommerce search experiences are one step closer to increasing their site’s conversion rate.
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Ecommerce Site Search FAQ
How can I improve my ecommerce search?
Here are some ways to improve your ecommerce site search:
- Make the search bar clear and prominent.
- Allow for misspelled words and synonyms.
- Use autocomplete to predict search queries.
- Display rich merchandising features in the search results.
- Prioritize results based on relevance and popularity.
- Use A/B testing to improve search performance.
How does ecommerce search work?
An ecommerce search engine works by comparing a user’s query against information stored in each product listing. If a fashion shopper is searching for green shoes, for example, the site search functionality would browse the merchant’s product catalog for SKUs matching either term.
What are the different types of searches in ecommerce?
There are different types of searches in ecommerce, including:
- Exact searches: Queries that spell the product name exactly.
- Product type searches: Queries that define the category of a product.
- Nonproduct searches: Queries that don’t contain product-specific information.
- Symptom searches: Queries that detail the pain point a shopper has.
