Cross-selling and up-selling are, without a doubt, the most effective strategies to increase your e-commerce sales and raise the average receipt of orders made. To be realized, they require dynamic product recommendation systems that, in the first case, will recommend to the potential customer products from a different but complementary category compared to his last purchase , while, in the second, they will show products that push the user to spend more on the product he is purchasing .
But how do you set up recommendations? Let's clarify a bit.
Product recommendation: the basis of every dynamic up-selling and cross-selling strategy .
Product recommendations are, as the word itself suggests, purchasing advice in which products are dynamically populated for each user who is browsing a web page, an app or email, based on data relating to their purchasing behaviour or the occurrence of particular events, thus offering a personalized purchasing list of australia consumer email experience.
The selection of products to be shown to the customer is usually managed by a product recommendation engine that, based on input data, chooses the most appropriate products to display. Product recommendations should be considered as the basic activity for all companies that want to offer a personalized purchasing experience to their customers . We know well that personalizing the purchasing experience of users is fundamental in the world of e-commerce: just think that, according to a study carried out by Accenture, 91% of consumers are more likely to purchase products from brands that are recognized and remembered and that offer relevant product recommendations.
It can therefore be said that today consumers expect a personalized experience when using the web
Companies that personalize their users' browsing experience thus tend to see a 19% increase in sales, while over 56% of users choose to revisit a site that offers them recommendations on products to buy. It is no coincidence that Netflix recently declared that its personalized recommendation engine is worth at least a billion dollars. The most famous example is certainly the case of Amazon: according to data released by the company itself, over 35% of total revenue comes from purchases made through dynamic product recommendations.
Product recommendations: where can I use them?
Blendee, as a marketing automation platform , provides its users with its own product recommendation engine which , combined with the ability to segment audiences , allows you to personalize product recommendations at any level. Recommendations can then be inserted into various sections of your e-commerce:
