Site search

Search unlike any other: self-learning, error-tolerant and language-independent. Easily process any query - from SKUs to complex, long-tail queries and everything in between.

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How it benefits you

More sales, less work

thanks to automatic search optimization

Customer loyalty

by meeting users' needs with convenience

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fast learning smarter searchability

Uninterrupted search despite typos

In a single month, we found 83 wrongly-spelled variations for the brand Birkenstock in a fashion online shop. Without error tolerance capabilities, all would have led to lost sales. That's why we've developed a search engine that compensates for spelling mistakes, whether slip-of-finger or conceptual, to give customers what they were looking for without missing a beat.

graphical user interface, text, application, chat or text message

Be independent and ambitious with Worldmatch®

This patented algorithm is your linguistic edge over the competition. Due to its ability to match strings from different character sets, you're able to expand and enter new international markets faster. Whether it's Latin, Greek, Cyrillic, Arabic, Korean, Chinese, or Japanese - we've got you. Language independence for maximum scalability.

Carry a conversation with the search bar

Our Semantic Enhancer® algorithm takes into account both the syntactic match and latent semantic relationship, which simply put means it's able to understand natural human language in search queries. Its capacity extends past understanding by automatically learning from user behavior, continually (and smoothly) optimizing results.

Harness relevance as a revenue accelerator

Not all personalization is the same. We know because we created ours to be unlike anything on the market. Using unique customer preferences and real-time purchase intent, we create intimate search interactions that lead to immediate and future purchases. No segmentation, no big data, no manual rules - just 1:1 relevance.

Ein lächelnder Mann mit Brille vor Grafiken und einer Schaltfläche, die Lösungen von FactFinder für Online-Shops zeigt.

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Dive into our dynamic demo experience and explore the features of the FactFinder platform that are most relevant to your needs.

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What makes us different?

Our Worldmatch® search core is founded on proprietary algorithms developed in-house and refined by our own R&D department for more than 20 years. It has proven superior to the usual Levenshtein method used by other search solutions in A/B tests. FactFinder delivers better relevance and faster response times, no matter the amount of data, in any language.

Industry insights

Among the top 177 e-commerce sites, a whopping 70% of the search engines are unable to return relevant results for product type synonyms, while 34% of the sites don’t return useful results when users search for a model number or misspell just a single character in a product title.

E-Commerce Search UX

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Ready to see FactFinder in action?

FactFinder interface showcasing online shop solutions with product listings and analytics, featuring a customer support representative.

Fill out the form and one of our eCommerce experts will reach out to provide you with:

A product overview, based on your requirements
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Frequently asked questions

Can FactFinder handle special characters in the data (e.g., 15", Samsung Galaxy+, Bluetooth® headphones, headphones, HTML entities in text, and special characters in other languages)?

Yes, special characters are not a problem.

Does FactFinder offer automatic search completion to the user?

Yes, FactFinder supports the auto-suggest function. Auto-completion is activated from the second character entered.

How does FactFinder ensure that highly relevant products are displayed easily and quickly to users through simple keyword search?

Worldmatch, our patented language-independent search core, is the result of over 20 years of experience in eCommerce search. It uses advanced word-matching approaches to quickly deliver highly relevant results. This is supplemented by Atlas AI, an AI model that increases both general relevance (through wisdom-of-the-crowd) and personal relevance in real time, thus providing the most relevant search results for each individual shopper.

Can FactFinder automatically ignore common stop words like 'and' or 'with' to make search results more precise?

FactFinder supports stop word lists for all 16 supported languages and offers a default list that can be customized as needed. Companies can add additional words relevant to their industry as stop words. These stop words define terms that are ignored by the search engine to deliver more precise search results.

Does FactFinder automatically recognize singular and plural forms?

Yes, FactFinder recognizes both singular and plural forms in the results.

Does FactFinder also search content pages (e.g., FAQs, returns, help, and support pages)?

FactFinder can index both product and non-product data. Many of our customers have us index content and return that content as search results when a shopper performs a search. FactFinder also supports search redirects – so if a shopper searches for a term like 'returns', they can be automatically redirected to the correct page.

Can FactFinder display relevant products in search results based on EANs and article IDs?

Yes, FactFinder can also handle numerical values like EANs and article IDs. Any field indexed by FactFinder can be configured to support either exact matches or so-called 'fuzzy search fields,' which also consider non-exact matches.

Can the search results be displayed in multiple languages?

The FactFinder search platform is divided into channels (indexes), which typically represent different languages or other dimensions. Since the same words can have different meanings in different languages, it is recommended to use a separate index for each language. This index can also contain words from other languages (e.g., 'Denglisch' in German). To deliver relevant search results, it's crucial to select the correct channel for each request. It is often difficult to determine the correct language based solely on the search term. However, additional context like browser language, visited pages, or IP address makes it easier for the eCommerce frontend to select the appropriate channel.

Can FactFinder sort the search results by popularity, personal preferences, discount percentage, or other criteria such as customer ratings?

Yes, FactFinder offers flexible options for sorting search results based on various criteria. Shop managers can create new fields and edit their configuration through an intuitive user interface, including whether and how these fields are sortable. By default, results can be sorted by popularity, for example using the 'FFCheckoutCount' field, which tracks how often an item has been purchased. Additionally, through the Personalization module, FactFinder supports sorting based on personal preferences and past user behavior, prioritizing relevant results for each user. For specific criteria like discount percentage or customer ratings, corresponding fields can be imported into FactFinder and used for sorting.

Can the ranking of popular items be dynamically updated based on user interactions?

FactFinder uses AI to automatically optimize search results. The AI analyzes user interactions with products and product groups, ranking the most relevant products higher for a specific search result (wisdom-of-the-crowd). Trends within the product range are also considered.

Are search results ranked based on shoppers' personal preferences and past behavior?

Our Atlas AI model understands individual user interactions and can thus automatically highlight the most relevant items for each shopper. Learn more here: https://www.fact-finder.com/products/atlas-ai.html

Is it possible to pin, boost, or hide certain products in the search and PLP results?

The FactFinder platform offers business users numerous functions to specifically customize, boost, or hide search results. These can be configured either for specific search queries or more generally for product categories. With the integrated merchandising functionality, campaigns can be created that are triggered by search terms, category pages, or specific events on the website. These campaigns can specifically highlight products, brand pages, guided selling modules, and more.

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