For many cross-border e-commerce sellers, they are now gearing up for the upcoming year-end shopping festival. To win this battle, we must have products that can be sold, so as to increase sales and drive economic growth. In order to choose an excellent product, necessary data analysis is still necessary. So, on Amazon, how do we sellers analyze and predict the sales of a product?
First, search results. We need to see how many people have searched for this product in the Amazon search column in the recent period, and whether the product is popular. If the data is too high, it means that consumers are still curious about the product. But if the number of search results is too small, it means that consumers are not very recognized of this product at this time, and the future development is still uncertain.
Second, sales data of sellers of the same type of products. We can refer to the sales of other cross-border e-commerce sellers in the same period to judge whether there are problems in our business operations, and then actively correct them.
Third, consumer evaluation. We can look at the evaluation details of consumers who have purchased the product in the seller’s store. If the ratings of most consumers who have purchased the product are close to 4.5 stars, this is also a strong proof that the quality of the product is relatively stable and reliable, there are no major problems, and it can meet the psychological expectations of most consumers. At the same time, if we encounter a certain product, almost all consumers who have purchased it give a score of about 3 stars, which means that there are problems with the quality of the product in certain aspects, and most consumers cannot accept it. Then we must avoid similar problems in future operations.
Fourth, the price difference of the product. When searching for the same product on Amazon, their prices are indeed very different. We must know that every cross-border e-commerce seller wants to make a profit. If the lowest product can make a profit, then the real cost of this product, quality management, and how we should set the price to live up to the trust of consumers are all issues that require us to think deeply.