Nowadays, consumers have more choices and controls than before, and too many choices lead to higher expectations. As a store, it needs to improve its competitiveness faster to keep up with the expected value of accelerated growth. Therefore, mastering consumers' likes and dislikes through data and applying this knowledge in product development is the key to creating products that consumers like.
In the field of e-commerce, "one size fits all" is not feasible in the face of demand. When a brand provides a personalized experience, 80% of consumers are more likely to make a purchase, and 90% of consumers say they find personalization attractive. In the rules of the new world, personalization goes far beyond simple classification and customization, but uses e-commerce data analysis to predict the needs of individual consumers and put forward relevant product suggestions.
Nowadays, customer experience is the new "brand currency". Besides price and quality, we also need to provide an attractive user experience to keep customers interested. Through data analysis, we can see how much time customers spend on the website, which functions attract their attention, and which aspects can be improved to create a unique, interesting, simple and barrier-free user experience to meet the changing needs of customers.