Short answer
Read searches with no clicks as well as no results. Fix vocabulary, relevance and recovery paths before replacing the search engine or increasing its prominence.
The answer in detail
Useful on-site search leads from a shopper's words to a result worth opening. Read two lists each month: searches with no results and searches with no clicks. At one fashion store, the second problem was more than 10 times as common as the first. A search engine returning something is not necessarily helping anyone.
The benchmark
Baymard's April 29, 2026 synthesis reported 56% of reviewed sites failing to support search needs adequately. It rated performance “mediocre or worse” on 46% of desktop sites, 58% of mobile sites and 64% of apps. Those measures have different denominators and are not one combined failure rate.
| Query type | Editorial example | Sites struggling in the cited research |
|---|---|---|
| Exact name/reference | vitamin C serum 30 ml | 12% |
| Product type | maxi dress | 20% |
| Symptom/problem | tight-feeling skin | 37% |
| Feature | fragrance-free | 39% |
| Use case | wedding outfit | 43% |
| Compatibility | refill for 50 ml bottle | 44% |
| Abbreviation/symbol | SPF50, 1/2 | 54% |
| Nonproduct | returns, shipping | 66% |
The source notes Shopify's French-language typo tolerance and semantic understanding in documentation reviewed in October 2026. Do not assume the same behavior across every storefront language, plan or query. Test the languages you sell in. Proprietary collection or fit names often still need explicit synonyms.
A womenswear brand's January 2025–January 2026 review covered about 3,900 searches. Only 4.6% had no results, while 51.5% produced no click. The French term “blouse” accounted for 15.8% of volume but just 24.5% click-through. “Soldes,” “sale” and “promo” received no clicks without a route to the promotions page; “lin” did not match “linen.” Retaining those actual French and English strings matters: this was partly a vocabulary problem, not an example to translate away.
The rule
Treat search as a journey: query, result click, cart addition and purchase. The shopper has expressed a need; irrelevant results can imply you do not stock the right product.
Start with inexpensive work: a monthly hour reviewing queries, synonyms and appropriate page links, then improve the no-results screen and suggestions. Replace the engine only when a documented requirement exceeds the native controls. At a premium-apparel brand, the authors could not exclude a particular product from one query, leaving jeans among blazer results. The source says the current documentation did not describe that exclusion option; confirm the actual limitation before procurement.
The steps
- Export both failure lists. Shopify Search & Discovery reports cited by the source provide 30-day “Searches with no results” and “Searches with no clicks,” excluding predictive search suggestions. Export the top 50 in each list monthly. Keep predictive activity separate rather than assuming those reports cover every search interaction.
- Verify GA4 collection. Enhanced measurement can send
view_search_resultswhen the results URL contains recognized parameters such asq,s,search,queryorkeyword, with the query insearch_term. Confirm the event in Realtime for successful and zero-result searches. Some audited implementations omitted empty results entirely. A session segment containing the event helps identify tracked search usage; it does not capture uninstrumented interactions. - Classify intent. Use the diagnostic table below. Check actual stock and destinations before creating synonyms, which can introduce irrelevant matches if applied too broadly.
- Tune native controls. Create synonym groups from customers' language. Retest 20 genuine queries including misspellings and abbreviations. The source describes product boosts for strategic searches with up to 10 terms; verify current limits and available-product behavior before relying on them.
- Improve recovery and suggestions. Baymard reports that roughly half of reviewed sites handle no-results pages in ways that encourage abandonment. Offer related categories, alternative queries, relevant products and contact routes. Its 2022 autocomplete guidance suggests at most 10 desktop suggestions and four to eight on mobile; use those as starting ranges and check actual usability.
| Report pattern | Possible explanation | First action |
|---|---|---|
| No result for a stocked product | Customer vocabulary differs | Add and test synonyms |
| Generic query gets results but few clicks | Weak relevance or ordering | Check titles, product types and boosts |
| Sale/promotion query gets no clicks | Shopper wants a destination | Link the actual promotion page prominently |
| Exact product query gets few clicks | Unavailable or poorly described item | Check stock and out-of-stock ordering/hiding |
| Returns/shipping query | Information need | Surface the relevant page; Shopify search can include pages and articles |
The pitfall
Making search more prominent does not guarantee better sales. A niche fragrance brand tested a floating mobile search bar outside the hamburger menu across approximately 148,800 visitors over 40 days. Conversion did not change, but revenue per visitor fell about 11% and order value about 11–12%. The team kept the original. Revenue per visit exposed a loss that conversion alone missed.
High revenue among search users also does not prove search caused it: these shoppers may already have strong intent. Track changes in no-result searches, no-click searches and post-search purchasing, and record releases in the operating log. If top queries repeat category names, inspect category labels; search may be compensating for navigation failure.
What to tell your team
“Only 4% of searches returned nothing, but half produced no click, including our leading query. We will fix the top 20 queries before buying a new engine.” These figures are fictional.
