UX / No-results
Zero-Results Searches: Turning Dead Ends Into Sales
// the blank page only happens to people who wanted to buy
By Fracto Solutions
October 7, 2026
The short answer
A zero-results page appears only when a shopper actively searched and found nothing, so it hits your highest-intent visitors. Never show a blank dead end. Acknowledge the miss, suggest corrected spellings and related products, keep search and navigation visible, and fix the underlying causes: missing synonyms, typos, and unsearchable product fields.
66%
54%
2.5x
Why are zero-results pages so costly?
Because they only happen to people who were trying to buy. A browser who sees nothing interesting drifts off; a searcher who gets nothing was specific, motivated, and ready, and you just told them you don’t have what they want, even when you often do.
Zero results is the most damaging outcome in site search precisely because of who it hits. These shoppers typed a real query, which is self-reported purchase intent. Constructor, analysing 609 million searches across 113 global retailers, found searchers convert at 2.5 times the rate of non-searchers, so a blank page is not a neutral outcome: it is your best-converting segment hitting a wall. Worse, many zero-result searches are false negatives, where you do stock the item but a vocabulary mismatch or typo hid it. This is the recovery companion to our site-search pillar.
How often search fails depends heavily on how the shopper phrases the query, and Baymard has measured exactly that across 170+ benchmarked sites and apps. The share of sites with identified usability issues rises steeply as queries move away from product names: 12% for exact searches, 20% for product type, 37% for symptom, 39% for feature, 43% for use case, 44% for compatibility, 54% for abbreviations and symbols, and 66% for non-product searches such as returns or warranty questions. Overall, 56% of those leading sites fail to adequately support users’ search needs. Those percentages are a map of where your own zero-result queries are most likely hiding.
What should a 'no results' page show?
Acknowledge the miss in plain language, offer corrected spellings or close matches, show related categories and a few best-sellers, and keep the search box and navigation on the page. The goal is to keep a ready buyer moving, not to apologize and stop.
Think of it as a soft landing rather than an error screen. Baymard’s benchmark shows no-results handling is a common weak point rather than an edge case, so this is a page worth designing deliberately instead of inheriting from your theme.
Element
What to show
Why it works
Clear message
'No exact match for X', in plain words
Removes confusion; feels handled, not broken
Did you mean
Corrected spelling or close term
Rescues typos and vocabulary mismatches
Alternatives
Related products and categories
Keeps a high-intent shopper browsing
Best-sellers
A few popular items
A useful default when intent is unclear
Search + nav
Keep both visible
Lets them retry without hitting back
A no-results page should move a ready buyer forward, never leave them on a blank screen.
How do I reduce zero-result searches in the first place?
Attack the three usual causes: add synonyms so shoppers’ words map to yours, enable typo-tolerant matching, and index the fields people search, like model numbers and SKUs. Most zero-result queries are fixable configuration, not missing inventory, and the benchmark data points the same way: sites handle exact product queries far better, with issues identified on 12% of sites, than the looser phrasings real shoppers actually use, where the figure runs from 43% to 66%.
Synonyms: map ‘couch’ to ‘sofa’, ‘trainers’ to ‘sneakers’, your buyers’ words to your catalog’s.
Typo tolerance: fuzzy matching so ‘ipone case’ still finds iPhone cases.
Searchable fields: index SKUs, model numbers, and key attributes shoppers paste in.
Autocomplete: steer typing toward terms that exist before a dead end happens.
How do I find my worst zero-result queries?
Your analytics already lists them. Pull internal search terms filtered to zero results, sort by frequency, and fix the most common ones first, usually a missing synonym or an unindexed field standing between a ready buyer and a product you actually stock.
This is a fast, high-return audit. The highest-frequency zero-result queries are a ranked to-do list of lost, high-intent sessions, and they are worth more per session than your average traffic: Constructor puts searchers at 24% of visitors but 44% of revenue. Fix the top handful and re-measure. It is the same find-the-leak discipline we apply across ecommerce growth strategy: let the data point you at the most expensive problem first.
We mine your zero-result queries for ready buyers you're already losing.
Zero-result search logs are one of the clearest signals in ecommerce: a list of exactly what motivated shoppers asked for and didn’t get. We pull them, separate true gaps from fixable misses, and close the synonym, typo, and indexing holes that hide products you already sell.
It is the same measurement-first approach behind our conversion optimization work: we agree the metric before the test runs and report the result at the confidence level the test actually reached, rather than the headline that reads best.
// we would rather show up in your reporting than in your inbox
Frequently asked questions
What is a good zero-results rate?
Lower is better, but the more useful move is to look at your highest-frequency zero-result queries rather than a single rate. Those specific queries are your ranked list of lost, high-intent sessions to fix first.
Should a no-results page ever be blank?
No. A blank page sends your most motivated shoppers to a competitor. Always acknowledge the miss and offer corrected spellings, related products, best-sellers, and visible search and navigation.
Are most zero-result searches really for things I don't stock?
Often not. Many are false negatives caused by vocabulary mismatches, typos, or unsearchable fields, where you have the product but search could not surface it. Baymard’s benchmark shows the pattern clearly: 12% of sites have identified issues with exact product searches, but 43% struggle with use-case phrasing, 54% with abbreviations and symbols, and 66% with non-product queries. The further a shopper strays from your exact product name, the more likely your search fails them. That is why synonyms, typo tolerance, and indexing matter so much.
Where do I see my zero-result searches?
In your site search analytics (or your search app’s dashboard). Filter to searches returning zero results and sort by frequency to prioritize the fixes that recover the most ready buyers.
Sources
How often search fails, by query type: Baymard Institute search UX benchmark, 170+ benchmarked sites and apps with more than 10,000 performance ratings for 2026 ecommerce search UX. Share of sites with identified usability issues for that query type: exact searches 12%, product type 20%, symptom 37%, feature 39%, use case 43%, compatibility 44%, abbreviation and symbol 54%, non-product 66%. This is a different metric from Baymard’s overall performance rating, under which 56% of these leading sites fail to adequately support users’ search needs, with 46% of desktop sites, 58% of mobile and 64% of apps rated mediocre or worse. Published 12 September 2024, updated 29 April 2026. Note that these measure site performance by query type, not the frequency of zero-result pages, which Baymard does not quantify in aggregate. Baymard: ecommerce search UX best practices
Searchers versus non-searchers: Constructor, “Beyond Relevance”. 609 million shopper searches generating $9.8 billion in search-driven revenue across 113 leading ecommerce sites, October to December 2024. Press coverage dates it to 6 March 2025; Constructor publishes no date on the report itself. Searchers were 24% of visitors but drove 44% of revenue and converted at 2.5x the rate of non-searchers. Constructor’s own report page elsewhere says “nearly three times”, so the publisher is not internally consistent; we cite the lower figure. Constructor study, 6 March 2025
Stated as Fracto’s position, not research: the composition of a good no-results page (acknowledgement, corrected spellings, related categories, best-sellers, visible search and navigation) and the advice to prioritise by query frequency rather than by an overall zero-results rate. These come from client work rather than a published study.How often search fails, by query type: Baymard Institute search UX benchmark, 170+ benchmarked sites and apps with more than 10,000 performance ratings for 2026 ecommerce search UX. Share of sites with identified usability issues for that query type: exact searches 12%, product type 20%, symptom 37%, feature 39%, use case 43%, compatibility 44%, abbreviation and symbol 54%, non-product 66%. This is a different metric from Baymard’s overall performance rating, under which 56% of these leading sites fail to adequately support users’ search needs, with 46% of desktop sites, 58% of mobile and 64% of apps rated mediocre or worse. Published 12 September 2024, updated 29 April 2026. Note that these measure site performance by query type, not the frequency of zero-result pages, which Baymard does not quantify in aggregate. Baymard: ecommerce search UX best practices
Searchers versus non-searchers: Constructor, “Beyond Relevance”. 609 million shopper searches generating $9.8 billion in search-driven revenue across 113 leading ecommerce sites, October to December 2024. Press coverage dates it to 6 March 2025; Constructor publishes no date on the report itself. Searchers were 24% of visitors but drove 44% of revenue and converted at 2.5x the rate of non-searchers. Constructor’s own report page elsewhere says “nearly three times”, so the publisher is not internally consistent; we cite the lower figure. Constructor study, 6 March 2025
Stated as Fracto’s position, not research: the composition of a good no-results page (acknowledgement, corrected spellings, related categories, best-sellers, visible search and navigation) and the advice to prioritise by query frequency rather than by an overall zero-results rate. These come from client work rather than a published study.