Zero-result search in e-commerce: What does it tell us about customer needs?

The internal search engine is one of the most important points of contact between a customer and an online store. When it returns a blank page of search results, you're not only losing sales - you're also losing valuable information about what customers are really looking for. This article will show you how to turn zero-result search from a problem into a source of competitive advantage.

Key findings (TL;DR)

Before you get into the details, here are the key takeaways from this article:

• Zero-result search is not a failure - it's one of the most valuable signals of customer intent and frustration, revealing assortment gaps, naming issues and filter mismatches.
• Search users convert 2-4× more often than category browsers, so any lack of results is particularly costly - e-commerce can lose up to 10-15% of conversions.
• 40-70% of queries with no results can be handled without bidding expansion - just improve synonyms, tags and search logic.
• Internal search data should be combined with Voice of Customer (on-site surveys, NPS, CSAT, CES) and sales data to prioritize the highest impact activities.
• In the article, you'll find a 12-point optimization checklist and specific examples from fashion, electronics and beauty.

What is zero-result search in e-commerce and why is it crucial for CX?

Zero-result search is when a store's internal search engine returns no products for a user's typed query. This can be due to a lack of product on offer, but just as often it can be due to naming mismatches, typos or problems with filter logic.

It is worth distinguishing this phenomenon from zero click searches on Google. Zero click searches are search engine queries that don't end up going to any website, because the user gets the answer directly on the search results page - via Featured Snippets, Direct Answer or Knowledge Panels. In e-commerce, on the other hand, zero-result blocks the entire path to purchase.

Here are examples from 2024-2026:

• A customer searches for "communion dress 2026" in March - gets a blank page because the product exists under the name "children's formal dress."
• The query "iPhone 15 Pro titanium blue" does not match, because the color in the catalog is "Titanium Blue"

Internal search typically handles 30-60% of revenue for large stores. Each zero-result search is at once a lost sales opportunity, a signal of customer need, and a potential source of frustration that translates into lower NPS and CSAT.

Why are zero-result searches such an important source of customer insights?

Zero-result search is users' raw queries in their natural language - untainted by marketing filtering. It's a record of how customers really think about products, what words they use and what they expect.

From this data you can read:

• Assortmentshortages - for example, new RTX 5090 models appear in inquiries long before they are available in Poland
• Seasonal trends - a frequent zero-result for "100% linen" in May signals demand for natural materials before summer
• Price expectations - inquiries like "55-inch TV up to PLN 2,000"
• Popular brands and formats - customers are looking for specific brands you don't carry
• Technical parameters - "retinal cream 0.1%" indicates beauty-conscious consumers

In 2024, about 65% of global searches on Google will end without a click, and on mobile devices the number will exceed 75%. In this era of zero click, inbound search is becoming one of the few places to fully control click searches leading to conversions.

How does zero-result search affect Customer Experience, conversion and loyalty?

A lack of search results sets off a simple sequence: frustration → session abandonment → lower conversion. Even if traffic comes from well-optimized campaigns, zero-result can undermine the entire marketing effort.

Key data:

• Internal search users convert 2-4× more often than category-only browsers
• 80% of users leave the site within seconds after receiving a zero-result
• In a zero-result searches situation, e-commerce can lose up to 10-15% of conversions

Example scenario from beauty: a customer types "retinal cream 0.1" - no results, no prompts, no alternatives. She leaves the site. In the on-site survey, she marks "I didn't find what I was looking for." NPS drops.

A series of 2-3 unsuccessful search attempts in a single session correlates strongly with a negative CX score (lower CSAT and CES) and abandonment of purchases. It is worth measuring the impact of specific patterns of zero-result queries on conversion rate, rejection rate, session length and stated satisfaction in on-page surveys.

Common causes of zero-result search: offer, language, filters, UX

The following list will help you quickly map the problems to your own store:

No product on offer Queries for specific models (e.g., "Xiaomi Redmi 15 Ultra") or brands that the store does not carry. This is a signal to the purchasing department.

Typos and entry errors Customers often use different terminology than what is in the database. Lack of error and typo handling in search engines can generate empty results. Examples: "iphon 15 pro", "adidass campus", "retinol 01 cream".

Synonyms and colloquial language "sliding closet" vs "closet with sliding doors", "half-shoes" vs "lords", "active foam" vs "car wash shampoo" - Failure to map customer language to catalog vocabulary.

Overly technical product names Description "household appliance FZ21-4900 Inverter Heat Pump" vs search "susarka with heat pump A " - customer searches by parameters, not by manufacturer code.

Problems with language variation of "running shoes", "beard brush", "double bed" - search engine does not cope with inflection and Polish diacritical marks.

Incorrect categories and tags Product exists, but does not appear on queries "women's winter jacket 2026", because it was categorized as "outdoor parka" without the tag "winter".

No brands in the index Products exist, but brand names are not included in the search field.

Mismatched filters Customer has narrowed results (e.g., "available in stock" filter) and each new query ends up with a zero-result - UX does not communicate that active filters are to blame.

Indexing errors New SKUs, campaign landing pages or color variants are not included in the search engine index.

"Lack of product" vs. "lack of understanding of customer intent." - how to tell the difference?

Zero-result search does not always mean that the product does not exist. Often it means that the store does not understand how customers describe their needs.

A simple framework for analysis:

1. Does the product/product type exist in the catalog?
2. Does it appear after a similar query?
3. Can filtering account for missing results?

Example from home & garden: The query "140x200 oak Scandinavian bed" returns zero-result, but the product "Oslo bed 140x200" exists in the catalog. The phrases "oak" and "Scandinavian" do not appear in the indexed fields.

Example from fashion: Zero-result for "oversize jacket beige 42", but the product appears with "jacket beige 42". The search engine does not understand the "oversize" attribute as a cut.

Regularly reviewing the logs and manually checking 50-100 of the most common queries often reveals that 40-70% of them can be handled without oversizing - all you need to do is improve the naming, tags and search engine logic.

How to analyze queries without results: data, segments, behavioral context?

A practical guide to the dimensions and metrics of analysis:

Frequency and share of search traffic Identify the TOP 50-100 phrases without results and their share of total internal searches. Typically 5-15% of queries end in zero-result.

Seasonality Compare month-to-month and year-to-year data. Example: a spike in queries "gift for communion boy 2026" in March-May or "portable air conditioner" in a heat wave.

Customer segment Analyze zero-result separately for new and returning users, loyalty program clubbers, B2B vs B2C segments. New users generate up to 2× more zero-result.

Device and channel On mobile devices, the percentage of zero-click searches exceeds 77%, due to mobile users' preference for concise responses. Also see if users from paid campaigns are more likely to hit zero results.

Category and catalog context Map zero-result queries to potential categories (electronics, fashion, beauty) - this makes assortment planning easier.

Follow-up user behavior Analyze what happens after a zero-result: whether the customer corrects the query, clicks on recommendations, goes to the category, or leaves the site immediately.

Track sessions Combine search logs with sessions in GA4 to see how often zero-result is the "last event" before abandonment. Platforms like YourCX can combine this with research data, showing a correlation with claimed product difficulty to find (CES) and NPS.

Combining internal search data with Voice of Customer and sales

The greatest value comes from combining search logs with qualitative and numerical data:

Voice of Customer On the no results page, display short on-site surveys: "Did you find what you were looking for?" and open-ended questions asking you to specify your need. Online customer satisfaction and experience surveys can achieve response conversions of 20-30%.

NPS, CSAT, CES Combine satisfaction survey responses with data on whether zero-result occurred in a session. Sessions with zero-result typically have an NPS 1-2 points lower.

Feedback and reviews Some of the missing search phrases appear in reviews: "larger sizes are missing", "too bad you don't have brand X". It is worth mapping and tagging them.

Sales data Analysis of queries "wool coat" juxtaposed with sales of outerwear shows a gap - high interest vs. low sales due to lack of available products.

YourCX allows you to combine behavioral data with CX findings and customer paths to prioritize corrective actions with the greatest impact on the experience.

How do you use zero-result search in product, purchase, content and UX decisions?

Zero-result search provides input for multiple teams:

Product and purchasing decisions A list of the most common zero-result queries as input for a purchasing plan: introduction of new Korean cosmetics brands, missing XXL sizes, specific electronics models.

Merchandising and categorization Changes to the category tree and filters: adding "material", "fashion" filters in fashion, "skin type" in beauty.

Content and on-site SEO Creation of landing pages answering users' recurring questions (e.g., "gift for programmer up to £200"). Optimizing content for Featured Snippets involves creating short, dense 40-50 word answers that answer specific user questions. These pages can also perform well in Google search results.

Using structured data (Schema Markup) is key to improving visibility, as it helps Google better understand the content on the page. Creating valuable visual content, such as infographics and videos, increases the chances of appearing in zero-click searches.

Search engine UX Increased visibility of hint suggestions (autocomplete), "did you mean?" mechanism, improved placement of filters and messages.

Pricing strategy Queries such as "55-inch TV up to £2,000" inspire a dedicated offer or a page with products in that budget.

Marketplace management Using zero-result to source new vendors that can cover assortment gaps.

AI, text analytics and query clustering: how to scale zero-result search work?

The growing number of queries (hundreds of thousands per month) requires automation. This is where artificial intelligence and natural language processing (NLP) come into play.

Query clustering (clustering) AI combines similar phrases ("iphone 15 pro," "iphon 15 pro," "iphone15 pro blue") into a single intent cluster, reducing noise and facilitating prioritization. Semantic search with AI can reduce zero-results by 70% without changing the offer.

Detecting customer intent Linguistic models classify queries into informational, comparative, transactional ("buy...", "cheap...", "up to £500") and service ("return", "complaint").

Identify trends Automatically detect sudden spikes for clusters of queries - e.g., new sneaker brand, TikTok's beauty hit.

Connection to the zero click era

In the context of zero click searches, it is useful to know what zero click is and how it affects SEO strategies. The phenomenon of zero click searches is changing the rules of SEO, as brand visibility in Google search results is becoming as important as the number of clicks.

Google displays various elements on the results page:

• Featured Snippets are short answers to the "zero position" in the form of a paragraph, list, table or video snippet
• Direct Answer are short answers generated from Google's own resources (weather, exchange rates)
• Knowledge Panels are expanded blocks of information about people, companies, places
• People Also Ask section contains drop-down related questions with short answers
• Local Pack is a map listing local businesses for local queries

Research shows that the presence of AI Overviews in search results lowers the CTR for the first position by an average of 34.5%. AI Overviews, or AI-generated responses to user queries, significantly reduce CTRs.

A July 2025 Pew Research Center study found that in the presence of AI Overviews, the average CTR of organic search results dropped nearly in half, from 15% to 8%. In AI Mode, which is gaining popularity, as many as 92-94% of queries end up without going to an external page.

According to a July 2024 SparkToro/Datos report, 58.5% of searches in the US and 59.7% in the EU end without clicking on any link. This shows how crucial internal search engine optimization is becoming - in an era of zero click, this is where the user gets the response that leads to a purchase.

YourCX can use text analytics to automatically tag customer responses from surveys and search logs.

The most common mistakes companies make in their approach to zero-result search

A list of "anti-patterns" to avoid:

• Ignoring search engine logs - data is available, but no one is responsible for it (68% of stores treat zero-result as a dead end)
• Analyzing only the top phrases - ignoring the "long tail" where niche, high-margin customer needs are hidden
• Lackof process owner - lack of assignment to a product owner results in fragmented initiatives
• Treatment as an IT problem - without involvement of business and marketing teams
• Lackof connection between search and CX - no understanding of how lack of results translates into NPS and loyalty
• No A/B testing of the no results page - default "No products found" page maintained for years
• Focus on expanding offerings instead of improving naming, tagging and search logic

Practical checklist for zero-result search optimization in e-commerce

a 12-point checklist for the next 3-6 months:

1. Determine search & discovery process owner and data review cycle
2. Set up reports: number of queries, share, TOP phrases, segments, devices
3. Implement autocorrect and fuzzy search (typos, missing Polish characters)
4. Add a dictionary of synonyms and colloquial phrases
5. Supplement product names and tags with customer language ("oversize", "boho", "for gift")
6. Improve filter logic - narrowing information, easy reset on mobile
7. Redesign the no results page: message, search box, recommendations, FAQs
8. Add "Try Different" mechanism - alternative queries or categories
9. Run an on-site survey on the zero-result page
10. Introduce regular search engine UX testing on mobile and desktop
11. Ensure integration of search engine logs with analytics tools and CX platform to measure the impact of changes on conversion and satisfaction
12. A/B test and monitor: target <5% zero-result rate

Updating content regularly is important, as Google favors sites that provide up-to-date information.

FAQ - the most common questions e-commerce practitioners have about zero-result search

Below you will find answers to questions that often arise when implementing internal search optimization.

How often to analyze zero-result search in a medium or large e-commerce site?

For small and medium-sized stores, a minimum monthly review cycle is recommended. Large marketplaces and retail chains should analyze data weekly. During peak seasonal periods (Black Friday, holidays, back-to-school), it is worth switching to daily analysis, when the structure of user queries changes dynamically.

Where do I start if I haven't analyzed queries without results at all so far?

A simple 3-step start: (1) enable search engine query logging, (2) build the first TOP 50 report of zero-result phrases, (3) manually check whether products exist in the catalog and prepare a list of "quick wins" - synonyms, name corrections. Assign one person in charge and a business goal: e.g. reduce zero-result share by 20% in 3 months.

Is it worth investing in an advanced SaaS search engine, or is it enough to develop your own solution?

For small stores, improvements to simple mechanisms are often enough. With millions of SKUs and high traffic, the benefits of an advanced search engine (AI, NLP, personalization) grow exponentially. Regardless of the technology, monitoring zero-result and linking this data to CX and sales is key. Case studies show that reducing zero-results by 80% can result in a 25% increase in conversions.

How to measure the success of implementing internal search engine changes?

Key metrics: a decrease in the share of zero-result search, an increase in conversions after search, a decrease in bounce rate, improved ratings in surveys (ease of finding a product, CSAT), and an increase in revenue from search traffic. Compare "before and after" data over at least a 4-8 week period. Google Search Console will help monitor how changes affect key phrases and visibility.

Does zero-result search also matter in the AI era, when the share of zero click searches on Google is growing?

While more and more complex queries are ending up in Google without a click (zero click search), in-store click-through is still a condition for purchase - the user gets the answer directly on the results page only in Google, not in your search engine. Zero click searches affect brand visibility, but without having to click on Google results, a potential customer will not buy. That's why optimizing an e-commerce search page and reducing zero-result becomes one of the most important levers for conversion growth in 2025-2026. In the zero click era, it's the internal search engine that must convert intent into transactions.

Bottom line: zero-result search as a compass of customer needs

Zero-result search queries are not "data noise" or a technical failure. It's one of the purest sources of information about what customers are really looking for in your store - needed information written in their own language, without marketing filters.

Companies that systemically analyze zero-result search are quicker to match offerings, language, UX and communications to customer intent. They build competitive advantages based on valuable content and facts, not intuition.

Combining internal search data with Voice of Customer and sales enables fact-based decision making. Platforms like YourCX help close the loop: identify issues, plan actions, monitor the impact of changes on Customer Experience and conversion in real time.

Start with a simple step: generate a report of the TOP 50 zero-result phrases in your store and see how many of them can be handled by improving naming and tagging. The results may surprise you - and show you the direction for your site for the coming months.