A simplistic, linear approach to search experience – a customer looking for a product in a search box or bar, then either adding to the cart or bouncing – has two downsides. For one thing, it feels restrictive to modern users who want holistic, personalized experiences. Secondly, it is costly. Businesses unable to offer inspiration through methods like browsing, navigation, and advanced faceting miss out on conversion and retention opportunities.

Top retailers use search as a strategic tool, embracing a design thinking approach focused not on technology but on ease, effectiveness, and emotion. This results in improved KPIs like conversion rates, stickiness, engagement, and increased basket size, and that’s not just empty talk:

• Site searchers are 80% more likely to convert than regular visitors
• 43% of site visitors go immediately to search boxes
• Searchers spend 2.6x more than non-searchers
• 76% of searchers won’t buy after an unsuccessful search
• 52% of searchers report abandoning their whole cart if they couldn’t find one item

 

But to take advantage of the power of search and to live up to these numbers, you’ve got to satisfy a few basics. Consumers spoiled by Google expect first and foremost an ultra-fast search bar that provides most relevant results. There are three aspects of relevance that users have come to count on:

1. Textual relevance

The name of a product, its brand, keywords in the description—what we call attributes—make up textual relevance. Textual relevance means reading correctly into the user’s intent even if they misspelled a word or used a stop word (“the”, “and”, “at”, “with”…). It also means giving them a synonym result (offering a parka when they typed in “jacket”), and making sure that plurals are accounted for (searching for “feet warmers” should display foot warmers).

2. Business relevance

On the occasions when you want to promote certain products for, let’s say, a recent release or a holiday sale, you can influence the results a user sees using business relevance. You can leverage your own business metrics ensuring that the user sees content they are most likely to act on.

You could, for example, be tracking conversion rates on your products, and wanting to display first the result with the highest conversion rate.

3. Personalization

Personalized ecommerce search experience is all about taking signals from your user: the conscious signals they are sending you by interacting with your user interface, and the more subconscious, latent signals coming from their past preference indications.

 

Multiple paths to conversion through advanced user experiences

Having covered the basics, let’s look at how progressive retailers provide advanced customer journeys past the simple: search bar > click > add to cart.

Offering multiple content types as search results

Cratejoy is an e-commerce website that makes it easy for users to subscribe to boxes of products they’ll love.

If a user types “planner” in Cratejoy’s search box, they can instantly choose a subscription, a category, a collection related to planners—or, if none of that works, dive into a blog post. This offers the user multiple paths into different types of content, which translates into multiple paths to conversion, based on the user’s personal preferences and ways of processing information.

Facets: filters with special intelligence

L’Occitane En Provence is an international retailer of body, face, fragrances and home products. Similarly to Cratejoy, their search is an as-you-type experience, but they have another interesting feature that showcases advanced search possibilities. Let’s say a user types in “baby” in the search box: on the left, facets will appear.

 

What exactly are facets? We are all familiar with filters as a way to narrow down our search result options. A facet is a filter that is intertwined with the result sets: the only facets that appear are the ones that match result sets. This prevents a “no result” type of screen experience, which almost universally causes users to bounce. Looking at our “baby” facets, we already know the number of items available in each category, together with the pricing.

If a user refines her search query to, let’s say, a “baby bath”, we see that the categories available to her have decreased, showing only applicable facets.

This means that in a few keystrokes and clicks, the user finds the very item they want. Compare this with a long list of items that comes with a standard search bar experience — by far superior.

From beyond the search bar to no search bar

Artsper, an arts buying and selling website, takes to heart the idea that search is not just about the search bar. Search technology rather powers the entire browsing experience.

If a customer selects a “painting” category on the home page, products and facets are showing up—even though no search query is entered.

Artsper also includes recommended categories; a customer can easily dive into abstract paintings, for example, and just as easily remove that filter.

Why is this so interesting? No search bar query by the user is involved, even though the search technology behind the scenes takes care of the engaging and natural customer experience, including ranking and personalized recommendations.

Imagining possibilities for e-commerce search experience

There are many other aspects of state-of-the-art search technologies that can advance the user experience and improve your business numbers: from recommendations and dynamic faceting to letting the users define the interface. For more information, check out these articles from our docs:

• How sending events unlocks tons of AI-powered, revenue-boosting features
• InstantSearch, Algolia’s straightforward library to make building search UIs point-and-click

We hope to have inspired you to join top retailers in advancing user experiences through search capabilities that go beyond the search bar. Your users should enjoy powerful discovery through browsing, faceting, innovative UX, and much more, shortening their path to the shopping cart while driving your business results. 

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