Here's a moment you've almost certainly experienced as a consumer: you type something into a store's search bar, get a page of irrelevant results - or nothing at all - and you close the tab. Not with anger. Just with a quiet decision to look elsewhere.
That's ecommerce search abandonment. And it happens on your store, probably dozens of times today.
When a shopper searches, they're in "goal pursuit mode." They have a mental image of what they want. A failed search produces a small but real moment of disappointment. It undermines confidence: "Maybe this store doesn't have it."
Research in behavioural economics shows that the effort required to continue after a failure increases the perceived cost of staying significantly. It's easier - psychologically - to start fresh with a competitor than to troubleshoot a bad search experience. Most shoppers don't try again. They leave.
The most obvious failure mode. The shopper sees a "no results found" message and has no path forward. Exit rates from zero results pages are among the highest of any page type on an ecommerce site.
Sometimes harder to spot in analytics, but equally damaging. The shopper types "waterproof hiking boots" and sees a page of wellington boots and casual sneakers. The shopper scans the page, sees nothing useful, and leaves.
The product the shopper wants is in your catalogue and appears in search results - but it's on page three, because your search ranking logic prioritises cheap or highly-clicked products over the most relevant ones. The shopper never gets there.
The shopper starts typing, clicks on an autocomplete suggestion, and arrives at a results page that doesn't match what the suggestion implied. This is particularly damaging because the store actively guided the shopper to a failure.
If your zero results rate is above 5%, start here. Enable typo tolerance, build a synonym dictionary, enable partial matching, and add meaningful fallback content to your zero results page.
Most platform-native search ranks results by keyword frequency. Modern search solutions use a combination of signals: textual relevance, product popularity, conversion history, margin, and personalised behavioural signals.
Every zero results page should include popular products, trending searches, top-level category navigation, and a clear search bar pre-populated with the failed query so shoppers can easily rephrase.
In your analytics, segment search sessions by the last search query before exit. This tells you exactly which queries are driving abandonment - and many of them will be fixable in under an hour.
BRADsearch is designed to eliminate the most common causes of search abandonment - typos, synonym gaps, and poor ranking - from day one.