Some buyers can use only a computer or laptop to select a product, while others use only a smartphone. Therefore, what works well on desktop may not work well on mobile, and vice versa. Moreover, for some pages, on different devices may be the same, for others they may be radically different. You can make a choice only after conducting tests in each case. Let's look at the recommendations that the Eldorado online store uses on the pages of its website? "Rebuilding" the showcase for each client Unlike offline, in online stores, each visitor can get his own, personalized.
Wersion of the main page, tailored to his personal preferences. This takes into account many characteristics of the product: color, size, brand, price and others. Artificial intelligence, on the basis of which the modules of the Latest Mailing Database Retail Rocket platform work, determines when and which product offers to demonstrate to a particular client. It could be a newbie looking into an online store for the first time. Nothing is known about him yet (about his interests and preferences), but it is quite possible that he.
Will be attracted by bestsellers - positions that are bought by many other Eldorado customers. The store meets regular customers differently: they receive personalized recommendations based on all the data available about them: preferences and behavior on all devices used for online shopping. Recommendation algorithms differ in different versions of the site. In the desktop version, personal product selections are shown to the client, taking into account his interests. And the mobile version offers personal bestsellers - products that are often chosen by other buyers, but taking into account the interests.