The A9 algorithm is a search algorithm on the Amazon platform. Simply put, it sorts the products in all Amazon product categories according to relevance, and then displays the most suitable products to customers. The core process of the A9 algorithm includes two steps: the first step is to select relevant results from a large number of product “catalogs”, and the second step is to recommend these results ranked as “most relevant” to customers.
In order to allow customers to search for the products they want to buy as quickly and accurately as possible, Amazon will analyze and record the behavior of each customer. In other words, as long as the customer has searched for products on Amazon, the customer has already started using the A9 algorithm. Therefore, the ranking results of the seller’s product listing are the results of the A9 algorithm. If the seller wants to improve the ranking of the product listing, it is necessary to understand the main factors that affect the A9 algorithm.
There are three core factors that affect the ranking of the A9 algorithm, namely conversion rate, relevance factors, customer satisfaction rate and retention rate.