Good search features create an excellent customer experience in online stores and services. For example, conversion in online stores can be significantly affected by the search function of the service. Some studies have shown the conversion rate to be up to 50% higher among site search users. By investing in search functions and making them easily available, conversion can be increased significantly.
Search engine optimization (SEO) involves trying to affect which products are easily found through organic searches, like Google. On the other hand, by developing site searching the ease with which products can be found within a service can be influenced.
What does a good search look like?
A good site search function consists of several things. First, the search function should be easily available for users to use it. Use should be easy, logical and fast.
It is worth using suggestive logic in the search field. Suggestive search works by the service suggesting suitable products when the user has only entered part of the search term. Further typing focuses the search and narrows suggested options. Another much talked-about approach is semantic searching, where the search engine attempts to recognize the user’s intentions and context, thus producing more relevant search results. For the search ‘Men’s work pants 50 black’, for example, the search engine can pinpoint what products the user is looking for – instead of showing all products for men and all work pants.
Faceted classification uses product property information to categorize search results, allowing the user to easily filter products based on their features. A good search engine will offer faceted categories and make using them easy and quick.
It is always worth using product images in searches. The impact of a product image in product presentation and conversion creation generally is very big. When an image is already displayed in the search results, the customer quickly gets a reliable understanding of the product. Product images should also not be forgotten in suggestive searching.
Utilizing searches in product range management and targeting
Site searches should also be saved and analyzed. For example, product contents and keywords, as well as the range of products, can be developed by analyzing how users interact with the search. Search analysis can also be used to support other marketing channels, and results exploited for targeting or personalization of marketing, for example.
Searches and product information are firmly interlinked
Product information, its scope, and its quality significantly affect how site searches work and how relevant results they deliver. The structure of product information, level of classification, and atomicity determine, among other things, what kind of faceted categorization can be created. The search “Show all products from brand X” provides a simple example – searching by brand is not possible without classified product information.
Product information can be fetched automatically from background systems through interfaces. A product information system can also offer the entire search engine as part of a product information interface, which means everything to do with online store searches, for example, does not need to be done within the online store.
In summary, it is worth investing in good search functions. Today’s technology offers appropriate solutions which make constructing a search that benefits all parties effortless. For designing the search logic itself, it is worth consulting someone with experience in building functional searches. Even small actions can significantly improve user experiences and data utilizability.