Product Recommendation are , as the word itself suggests, purchase recommendations in which products are dynamically populated for each user who browses a web page, application or email, based on data related to their purchasing behavior or the occurrence of particular events, thus offering a personalized shopping experience. The selection of products to show to the customer is usually managed by a product recommendation engine that is responsible, based on the input data, for choosing the most appropriate products to display. Product estonia cell phone number list recommendations are to be considered the core business for all companies that want to offer a personalized shopping experience to their customers . We know that personalizing the user shopping experience is essential in the world of e-commerce: just think that, according to a study carried out by Accenture, 91% of consumers are more likely to buy products from recognized and remembered brands that offer relevant product recommendations.
So it can be said that today's consumers expect a personalized experience when using the web.
Companies that personalize their users' browsing experience see a 19% increase in sales, while more than 56% of users choose to visit a site that offers them advice on products to buy. It is no coincidence that Netflix recently declared that its personalized recommendation engine was worth at least a billion dollars. The most famous example is certainly the case of Amazon: according to data published by the company itself, more than 35% of total revenue comes from purchases made through dynamic product recommendations.