AI-powered search: From keywords to conversations
By now, everyone’s had the opportunity to experiment with AI tools like ChatGPT or Midjourney and ponder their inner ...
Director, Product Marketing
By now, everyone’s had the opportunity to experiment with AI tools like ChatGPT or Midjourney and ponder their inner ...
Director, Product Marketing
Search has been around for a while, to the point that it is now considered a standard requirement in many ...
Senior Machine Learning Engineer
With the advent of artificial intelligence (AI) technologies enabling services such as Alexa, Google search, and self-driving cars, the ...
VP Corporate Marketing
It’s no secret that B2B (business-to-business) transactions have largely migrated online. According to Gartner, by 2025, 80 ...
Sr. SEO Web Digital Marketing Manager
Twice a year, B2B Online brings together industry leaders to discuss the trends affecting the B2B ecommerce industry. At the ...
Director of Product Marketing & Strategy
This is Part 2 of a series that dives into the transformational journey made by digital merchandising to drive positive ...
Benoit Reulier &
Reshma Iyer
Get ready for the ride: online shopping is about to be completely upended by AI. Over the past few years ...
Director, User Experience & UI Platform
Remember life before online shopping? When you had to actually leave the house for a brick-and-mortar store to ...
Search and Discovery writer
If you imagine pushing a virtual shopping cart down the aisles of an online store, or browsing items in an ...
Sr. SEO Web Digital Marketing Manager
Remember the world before the convenience of online commerce? Before the pandemic, before the proliferation of ecommerce sites, when the ...
Search and Discovery writer
Artificial intelligence (AI) is no longer just the stuff of scary futuristic movies; it’s recently burst into the headlines ...
Search and Discovery writer
Imagine you are the CTO of a company that has just undergone a massive decade long digital transformation. You’ve ...
CTO @Algolia
Did you know that the tiny search bar at the top of many ecommerce sites can offer an outsized return ...
Director, Digital Marketing
Artificial intelligence (AI) has quickly moved from hot topic to everyday life. Now, ecommerce businesses are beginning to clearly see ...
VP of Product
We couldn’t be more excited to announce the availability of our breakthrough product, Algolia NeuralSearch. The world has stepped ...
Chief Executive Officer and Board Member at Algolia
The ecommerce industry has experienced steady and reliable growth over the last 20 years (albeit interrupted briefly by a global ...
CTO @Algolia
As an ecommerce professional, you know the importance of providing a five-star search experience on your site or in ...
Sr. SEO Web Digital Marketing Manager
Hashing. Yep, you read that right. Not hashtags. Not golden, crisp-on-the-outside, melty-on-the-inside hash browns ...
Search and Discovery writer
Mar 9th 2020 ux
Today’s online users have higher expectations than ever. They expect your site to be well-designed with a navigation based on predictable design patterns. If it isn’t, they’ll likely be frustrated and move on to a competitor’s site within minutes—if not seconds. Faceted search is an integral function that makes the search experience more seamless and helpful for your users.
Faceted search is a search and navigation feature that lets users tweak the search results to their interests by selecting a range of different attributes. These attributes are typically grouped together into pre-defined facets, shown below, which are granular and chosen by the business.
Faceted search is commonly viewed as a type of filtering. Filters are generally broader in scope and often help users segment content without even searching (e.g., “Women’s clothes” or “Children’s shoes” might be filters on an e-commerce site). Each filter, like the ones shown below, may produce hundreds or thousands of products, which can be frustrating for users to manually explore.
Faceted search, however, allows users to refine their searches more intentionally. Someone searching for “Women’s Dresses” likely would also want to narrow results with facet filters such as color, size, price range, and so on. Faceted search and navigation tools provide the ability for users to quickly do so.
Online consumers have high expectations for site performance and won’t tolerate a slow or clunky interface.
Faceted search and navigation is an important component of optimized search. By eliminating the need for users to scroll through seemingly endless results, it decreases the time required for users to connect with what they want. This promotes a better user experience, which is particularly important for mobile devices that have limited screen space and slower network connections. A fast and intuitive exploration process promotes more engaged users and higher conversions, among other benefits.
Here are 3 additional ways faceted search powers an efficient and intuitive user experience:
A good faceted search and navigation experience requires careful planning and iteration. There are a few important considerations to make when doing so:
The facet filters on your site should cater to the needs and interests of as many of your users as possible. To craft the best faceted search, you need to understand what your users are searching for and how. Search analytics are another powerful way to do so. By tracking popular search keywords and metrics such as click through rates, you can see how users are engaging with your content and what types of facets could be added to better meet their needs.
And don’t forget to include facets based on social proof such as reviews and ratings, which can lead customers to new things while building their confidence in products and services on your site.
While having facets that meet customers’ needs is a must, it’s also important not to have too many options. Choosing the correct number of facets will depend on your use case and the savviness of the user. A large number of facets, especially if there are several unnecessary or unused facets, can overwhelm users. When analyzing your search data, you should be conscious of which facets remain unused and trim these on an ongoing basis. Also note that facet options should contextually adapt as users type to only include relevant options. For example, when a user searches for a shirt, the facet options should include color, price, and brand, but should not include shoe size filters.
If your content catalog is large, it’s likely that a single facet selection alone won’t narrow down the results enough for most customers to find what they’re looking for. However, with multiple facet options, it’s much more likely that they’re able to do so. For example, a search for a blue shirt may produce hundreds of results on a large e-commerce website, while a search for a blue women’s small t-shirt between $20-30 will be much more precise.
Thematic filters are much more subjective groupings of content. For an e-tailer, for example, thematic filters for women’s clothing might include options like “Holiday,” “Work,” “Casual,” or “Party.” Though the scope is not as narrow as other types of filters and facets, thematic filters guide users to specific types of products. By capturing specific moods or tastes, they have the potential to capture and match user intents better that traditional facets. They can also provide a good starting point for more passive browsers to start their exploration process. Once these users find a theme that is relevant to them, they can then narrow their scope down further with other facets. The experience below isn’t powered by Algolia, but is it a great example of thematic filters.
Showing the number of results helps indicate to users how effective their search queries and facet selections were. Further, by providing these counts next to the unselected facets, these users can also see which are the most likely to get them to their desired content fastest. While a number of facets will often apply to users’ searches, they can often narrow down the content sufficiently with just a subset of these when ordered correctly.
To provide an engaging and high-performance search experience to your users, you’ll need to setup and monitor a well-designed system for faceting and filtering content. This requires a search as a service partner that can provide all the tools necessary to meet the industry standards that users expect. Check our e-book “Search Beyond the Box” to learn how search can help users discover content and drive business results.
Read the full report
Powered by Algolia Recommend