We may be increasingly aware of the role that algorithms play in our online experiences, but it’s easy to overlook how they factor into ecommerce. And yet, ecommerce product search
Without getting too technical,
an ecommerce search algorithm can be defin as the process by which results are retriev and display in response to a search query. From a user perspective, algorithms essentially dictate how easily a shopper finds accurate results, or whether they find relevant results at all.
level of power wield by an inscrutable technology, fear not. With the right search solution, you can optimize and control your ecommerce search algorithm with minimal technical skills. Below are the questions you ne to ask of your search solution as an ecommerce manager or merchandiser.
Does your ecommerce search algorithm understand semantic search?
An algorithm that responds to the intent behind various types of search queries is essential. Your search bar should understand that a user searching for a “r Nike shoe” wants a shoe, while a user searching for “r Nike shoe laces” wants an accessory for Nike shoes. For each search, the shopper should be present with a specific set of relevant products, instead of a broad collection of all “Nike” results that are only loosely relat to the search query.
Semantic search (sometimes also referr to as natural whatsapp data language processing) means your search bar can assess the subtleties in a search term to identify which words are product categories, and which are attributes.
Search Results:If this sounds
R Nike Running Shoes – Attributes, category, product type
What’s more, an intelligent search algorithm will automatically account for things like spelling errors, plural and singular search terms, and special characters such as customer retention tools and strategies measurements.
Bonus tip: Remember, an ecommerce product search algorithm is only ever as good as the data it has to work with. No matter the query, the quality of your results betting email list will ultimately be determin .