The various products on the Amazon platform are mainly ranked by the A9 algorithm, so in order to make the published products have a better ranking, the A9 algorithm is a knowledge point that sellers must master.
A9 is the name of Amazon’s search engine, and the search rules followed by the search engine of the Amazon platform are called the A9 algorithm.
There are two main ways for buyers to find products on the Amazon platform: one is to enter the keywords of the product in the search bar on the homepage to search for product display; the other is to find products according to the category of the product. The relevant products found by buyers will be sorted and displayed according to a certain algorithm, and the search ranking or category ranking of the product is determined by the Amazon A9 algorithm. The A9 algorithm is to ensure that buyers can search for the products they want to buy faster and more accurately. In order to enable sellers to better understand the A9 algorithm, the relevant processes of the A9 algorithm are introduced below.
The process of the Amazon A9 algorithm is as follows.
● First, each seller publishes the product to the Amazon platform;
● Amazon gathers the products together according to certain rules;
● Buyers find products through certain search methods;
● A9 makes judgments based on certain algorithmic rules;
● Finally, the relevant products are displayed to buyers through web pages.
By understanding the A9 algorithm of the Amazon platform, sellers can clearly understand some of the things they need to pay attention to when publishing products, so that the products can comply with the basic judgment rules of the A9 algorithm after they are released, and improve the ranking of products. There are many ranking factors in the A9 algorithm, but Amazon has not officially announced which specific factors affect the ranking. However, judging from the practice and testing of many sellers on the Amazon platform, the A9 ranking factors can be summarized as relevance, conversion rate, satisfaction, repurchase rate, etc. Among them, sellers should pay attention to the relevance of products and the conversion rate of products when publishing products.