Think of that e-commerce site you visit so often. Now imagine it without a search filter, hectic, right? No one wants to spend time checking endless pages of unrelated items when they could simply select “Female sunglasses” in the categories section and instantly get a list of relevant options.
When you receive the list of relevant options after filtering items on a site, it's likely that you still spend some time reviewing them to make a choice. Still, the process of filtering reduces the effort significantly.
A search filter helps users quickly find the products or services they want, and it can be implemented in many variations. In this article, we’ll explore what a search filter does, why it's important, and walk through a quick tutorial of how to build one with React.
TL;DR:
Search filters help users find what they are looking for by refining results based on criteria like price or brand. Adding this feature to a website, especially a service-based one, can improve user experience, speed up navigation, and boost sales. This article includes a tutorial showing how to implement a search filter in React.
What is a Search Filter?
A search filter is a feature that narrows down search results based on certain keywords or preferences. This could be achieved by selecting parameters like price, year, or sorting from highest to lowest.
You have most likely interacted with search filters on e-commerce apps, job boards, car rental websites, university websites, and other similar platforms.
Reasons websites need a search filter;
User Experience: Filters can reduce the strain or frustration users face from scrolling to find items, and make the process of navigating through products and services smoother.
Speeds up and Narrow Down Search: Search filter makes it easier for users to narrow down large amounts of information to find what they need.
Helps Prevent Churn: If a website's search filter is poorly implemented or non-existent, users can become frustrated, lose interest, and leave. However, if it is implemented correctly, users would be able to find products faster, which leads to higher conversion and sales.















