60% of Media Markt customers visit the site via mobile devices, while 40% use desktop devices. To help Media Markt improve the shopping experience for everyone, Prefixbox approached optimizing each platform individually.

Prefixbox implemented Rich Autocomplete and Related Searches modules in the desktop version of the store, and after just two months, Media Markt saw convincing results.

60% of search users use Autocomplete suggestions, so optimizing Media Markt’s solution with relevant, data-driven recommendations was crucial.

Prefixbox’s Rich Autocomplete leverages AI and Machine learning to decipher user intent and provides search query, category, and product recommendations the second shoppers focus into the search box. Autocomplete helped Media Markt’s shoppers find what they were looking for by predicting their intent and enabling them to refine searches with smart keyword and category suggestions.

Prefixbox further enhanced Media Markt’s search box by optimizing it specifically for Consumer Electronics shoppers. These shoppers often need to know product specifications before making a purchase (i.e. processing power, storage capacity, pricing, etc.). By including this information in detailed product tiles with images, Media Markt helped shoppers differentiate similar-looking products and directly add items to their carts.

By making it easy for shoppers to find desired products and presenting information crucial to the decision-making process, Media Markt increased its conversion rate, decreased its zero result search rate, and saw significant increases in revenue.

In the consumer electronics industry, many shoppers execute broad searches for queries like computer or headphones, which generate many results. To streamline the shopping journey, Prefixbox implemented Related Searches.

Related Searches are relevant alternative suggestions based on semantic relations and user behavior, strategically placed at the top and bottom of the SERP to help shoppers efficiently refine their search.

For example: if a shopper searches for headphones, Related Searches presents shoppers with alternative, relevant search terms like gaming headphones, Bluetooth headphones, or sports headphones to help shoppers navigate to the products they want to buy.

On the SERP, Related Searches provide shoppers with alternative recommendations. They also helped ease the pain of Zero Result Search Pages by providing shoppers with quick pathways to the products they were looking for. By encouraging shoppers to explore parts of the catalog relevant to their initial query, Media Markt increased average order value and sales.

By making it easy for shoppers to refine or add to their initial search with just one click, Media Markt was able to keep shoppers engaged in their shopping journey while encouraging additional purchases and increasing conversion rate and revenue.

Prefixbox implemented Rich Autocomplete in Media Markt’s mobile store and, just like in the desktop store, saw significant results after just two months.

Typos are frequent on mobile shopping journeys, so Prefixbox’s Typo-Tolerant Autocomplete was key in optimizing Media Markt’s mobile store. By recognizing and correcting typos, Prefixbox presented shoppers with the relevant product, category, and keyword recommendations regardless of how queries were spelled.

Prefixbox further customized Media Markt’s Rich Autocomplete specifically for mobile, where shoppers see fewer suggestions on smaller screen sizes. By leveraging AI and Machine Learning, Prefixbox ensured results were accurately ranked to prevent dead ends and seamlessly mobile guide shoppers to their desired items.