Customers will consider switching companies after just one instance of poor service. Hoff hypermarket case Hoff is a trading network uniting 50 stores in Russia. Hypermarkets are visited annually by more than 16 million people, and the online store hoff.ru has more than 66 million visitors a year. Personal recommendations in the retailer’s app make it easier for the buyer to choose. They help him get his own version of the store, tailored to his interests, creating the same positive shopping experience that will keep him coming back to the store again and again. The integration of the personalization system is implemented on 10 pages of the mobile application, including: Main page; Category page; Card Product; Page of the “empty” product card; Search page, etc.
SberMegaMarket and Rive Gauche Also
For example, in the product card in the mobile application of the Hoff online hypermarket, the buyer sees two blocks of recommendations at once. The first is related products that can Oman Mobile Number List complement the current product. The second block is alternative proposals. These products can attract attention if the product in the card for some reason does not suit the buyer. How personalization of a mobile application allows you to implement a customer-centric approach: cases of Hoff, SberMegaMarket and Rive Gauche Results: 12% of shoppers use recommendations in a mobile app; 5.5% of mobile.
When we embed personalized recommendations
pp orders contain recommended products; Recommendations provide 5.5% of mobile app revenue; The average check of buyers who use recommendations is 21% higher than that of other customers in the mobile app. We create a single client profile based on data from USB Directory different channels Combining data from different channels (online store, application and offline purchase history) allows you to create a single customer profile. All data is collected in one place, synchronized in real time and serves as the basis for further communications.