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Customers who use search are ready to buy. They know what they want and want to find it quickly. According to Luigi’s Box analysis, the probability of conversion after using search is up to 44% higher compared to regular category browsing.
In some segments, such as books or B2B e-shops, search accounts for up to 90% of total sales. This is mainly because customers often look for specific titles.
Source: luigisbox.com
Less Searching on Mobile
While mobile shopping is popular, it lags behind in certain areas. Not because customers don’t want to, but because the UX itself often makes it difficult for them. The search bar is often not visible, predictive suggestions are missing, or the results page is poorly readable. Yet these are simple adjustments – an always-visible magnifying glass, instant loading of results from the first character, or voice input capability. These are elements that can significantly increase engagement and mobile conversions.
Source: luigisbox.com
Does Predictive Search Make Sense?
Data shows that users who utilise autocomplete during search complete purchases more often than those who ignore it. That’s why it’s good to perceive it as an active navigation tool on the e-shop. Its benefit doesn’t lie only in shortening typing time. It helps users make sure they’re on the right track. It also increases the chance of finding a specific product. A good solution should handle more complex inputs: cope with incomplete queries, product codes, or different names while offering relevant categories, brands, and specific items – all in real-time during typing.
What a Customer Can’t Find, They Won’t Buy
When a customer enters a specific query into search and gets no results, a moment of frustration occurs – and often a reason to immediately leave the site. Data shows that up to 9% of searches end without results, with this proportion being even higher in some segments like spare parts. It’s not always about the product being missing from the offer. Often a small difference in notation is enough: different code format, typo, colloquial expression, or different declension. If the search engine can’t recognise these deviations and offer an alternative, an unnecessary loss of visitor and order occurs.
Up to one-third of customers leave immediately after unsuccessful search, without another attempt. Even when you actually have the product in stock – you just didn’t “understand” each other with the user.
Order Matters. And the First Page
The same rule applies as with Google – if your product isn’t on the first page, it’s as if it doesn’t exist. Up to 89% of customers never look at the next page of results. An optimised ranking that considers customer behaviour, product margins, or popularity is essential. Results should also display price, availability, and relevant data directly in the preview.
Another topic is filters. Customers often ignore them because they’re too general or they don’t see them at all. Dynamic filters that change according to query type (e.g., diagonal for TVs, connection type for headphones) help customers find what they need faster and eliminate friction points in the purchasing process.
E-shop Search as Part of the Shopping Process
Search is one of the most underestimated parts of an e-shop – yet it has a direct impact on conversions, satisfaction, and sales. Whether it’s the quality of suggestions, ability to handle imprecise queries, or proper ranking of results… every detail determines whether a customer completes their purchase.
