Making Books Discoverable with Prefixbox Autocomplete

Many shoppers misspell queries or make typos, especially on mobile devices, which can lead to high Zero Result Search Rates. Prefixbox’s Rich Autocomplete leverages AI and automation to decipher what shoppers are looking for and make relevant suggestions, no matter how they type their query.

By providing relevant search query, category, and product recommendations the second shoppers focus into the search box, Prefixbox decreased Tania Ksiazka’s Zero Result Search Rate by 23.3%.

Additionally, Prefixbox’s Rich Autocomplete gave Tania Ksiazka the power to Merchandize within the Autocomplete box. With the power to fine-tune results, Tania Ksiazka could promote desired books and products that helped them improve their bottom line.

Shoppers expect to see relevant results instantly. Prefixbox makes this a reality. By returning results and recommendations that matched search users’ intent, Prefixbox shortened the path to purchase and increased customer satisfaction.

Prefixbox’s Rich Autocomplete is data-driven, which means it continuously analyzes search user behavior to improve results over time. In addition to preventing Zero Result Searches, data-driven results reflect seasonal trends and changing user behavior to help shoppers better navigate their search.

By streamlining the search experience with relevant recommendations, Prefixbox helped Tania Ksiazka improve the shopping experience, build customer loyalty, and inspire return visits that increased sales.

Prefixbox is the only search provider to offer true north star metrics like Time to Search and Session Success Rate. These insightful metrics helped Tania Ksiazka understand how shoppers were interacting with results.

By identifying non-relevant results and highlighting room for improvement, Prefixbox enabled Tania Ksiaszka to effectively optimize their search, decrease Zero Result Searches, and increase conversion rate.