Prefixbox’s Autocomplete feature optimizes search suggestions and recommends popular products based on previous user
behavior. It shows relevant suggestions right after focusing into the search box. „Using prefix search results in more relevant
suggestions. Our customers receive instant product and category suggestions that are easy to understand, so the overall user experience
of the site improves” – said Szilvia Burka, Head of Marketing and Online Services at Praktiker. The solution can
predict the users’
too. Using synonym suggestions, Prefixbox recommends relevant keywords even when different names are
typed than the ones in the product lists. The product feed and search keyword list can be configured quickly and easily on the
online portal and data refresh is fully automated.
Praktiker experiences a growth of mobile traffic, too: at the moment 30% of their visitors come from mobile phones and 7%
from tablets. The misspelling rate in the search box is even higher on mobile devices, and
Prefixbox helps fixing that
during the search.
The tremendous adventage of Prefixbox service is that it keeps on learning based on the users’ search behaviour, so it
improves and gives better suggestions day by day and reflects seasonal changes.
Search Analytics is another essential part of the solution. On the online analytics dashboard detailed data can be found
search box usage and search results
„It is very important for us to know what our most searched products are and what searches
have no results on our site. These pieces of information influence our business decisions in many cases and make it possible for us to
react to the market demands promptly”
– explained Szilvia Burka. For product suggestion ranking, Prefixbox takes into
consideration the number of times users clicked on products on the search result page, and whether they added them to the
shopping cart during their search.