What is A9 Algorithm? A9 Algorithm Review, Features

What is A9 Algorithm? A9 Algorithm Review, Features

A9 is the name of Amazon’s search algorithm. To put it simply, A9 selects the most relevant products from Amazon’s huge product categories and displays them to customers based on relevance.


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"A9" previously provided six services: Product Search (product search ranking); VisualSearch (visual search ranking); Amazon Cloud Search (cloud search ranking); Mobile Application Search (mobile application search); Advertising (advertising search ranking); Technical Operation (technical operation support).

After the latest revision, only: Product Search (product search ranking); Visual Search (visual search ranking); Advertising (advertising search ranking).

1. Product Search

Official description: "We start operating long before the buyer determines the search type. Before the buyer decides to search, we have analyzed a large amount of data, observed the buyer's past browsing habits, and used text instructions in our categories to describe the products displayed for each search."

2. Visual search

Ranking algorithms for searching in the form of images, sounds, and other multimedia.

3. Advertising

The ranking of advertisements on Amazon is all powered by the A9 algorithm.

"The advertising industry is a fast-growing emerging industry. New electronics can only have sufficient influence if they execute quickly. If they want to continue to develop, they must expand their scale."


The core of A9 algorithm

1. The first principle of all things on Amazon is to maximize buyer returns (RPC).

2. Amazon tracks every action of buyers on Amazon.

3. A9 algorithm is the primary indicator that directs the data tracking of #2 (Amazon tracks every action of buyers on Amazon) to #1 (maximizing buyer benefits).


Main Features

1. Conversion rate

This is the influencing factor related to conversion rate measured by Amazon. It includes sales ranking, buyer reviews, answered questions, image size, quality and price, etc.

2. Relevance

Remember the first step of the A9 algorithm? They collect the results and decide how to rank them. Relevance tells A9 when to direct your product page to a given search keyword. Relevance includes things like title, Bullet+Points, and product description.

3. Buyer satisfaction and retention rate

How do you make the most money from a single buyer? Make them happy and keep them coming back. Amazon knows that maximizing RPC comes from buyer retention. It is much harder to get a buyer to buy 10 times and spend %2410 each time than to get a buyer to spend %24100 once. Buyer retention includes aspects such as feedback and order defect rate.

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