How does the Amazon algorithm actually work?

Wie arbeitet der Amazon-Algorithmus?

Amazon is undeniably very successful – in Germany as well as worldwide. With maximum customer orientation, the online giant manages to optimize the individual steps of the value chain, thereby binding billions of customers to itself. A significant ingredient in the success recipe of the e-commerce player is the Amazon algorithm called A9: It satisfies the customer’s need to receive a good selection of products as quickly and easily as possible, in the currently best way.

So it’s no wonder that Amazon has even surpassed Google in the product search segment. This is reflected in the company figures: Of about 51.6 million e-commerce buyers in Germany, nearly 44 million regularly shop on Amazon. Figures that the development team of the Amazon algorithm is not entirely innocent of. Because only when A9 works well do customers find the products they really want to buy and come back next time.

This process is described by Thales S. Teixeira, a lecturer at Harvard Business School, in his book “Unlocking the Customer Value Chain”: The changing needs of the customer lead to digital disruption, not to technical innovations. According to Teixeira, these merely reinforce such tendencies. Amazon has taken advantage of exactly this effect: Suddenly, it became possible to deliver products directly to the end consumer without intermediaries. This satisfied an already existing customer need – namely the desire not to have to leave the house to shop. However, this was only made possible by Amazon’s A9 algorithm.

Many marketplace sellers find this search algorithm very opaque. Why is my competitor ranked number 1 instead of me? Why doesn’t my product rank for this or that keyword? To make matters worse, Amazon regularly revises its algorithm – changes are therefore not unusual. It is extremely important for business success to understand A9 as much as possible. That is why we have summarized all the important information about how the Amazon algorithm works here for you.

What does the Amazon algorithm do?

Does the Amazon algorithm have a special functionality?

They are on everyone’s lips: algorithms. Essentially, they are a set of instructions that define a solution for a class of problems and consist of several individual steps. They can be found in practically every computer program and provide a step-by-step guide on how a task can be solved.

In the case of the Amazon algorithm, it is likely to be a very complex algorithm that takes many different factors into account. However, only Amazon itself knows which aspects come into play in detail. Everyone else has to rely on general information and their own practical experiences. Therefore, it is not entirely easy to understand the Amazon algorithm.

The approach of the Amazon algorithm

Basically, A9 is responsible for determining which products rank for which keyword and then deciding in what order the products are displayed to the customer. The goal is always to present products with the highest likelihood of purchase at the top. In the following, we will take a closer look at how the algorithm works.

How does the Amazon algorithm determine content-relevant products?

In order to serve the user’s purchase intent as accurately as possible, A9 primarily evaluates user behavior and the product page. The basis is always the keyword. Not only does the user search for this through the search mask, but the algorithm also looks for it in the product to find the intersection of all products that are content-relevant. Therefore, sellers should definitely engage with the criteria for good SEO and the optimization of their listing.

A9 goes through two steps to determine content-relevant products:

  • In the first step, the algorithm searches all product pages contained in the index for the keyword. This can be, for example, a book title or simply a single word like “sunglasses.” All components must be found on the product page. However, filler words, punctuation, number, and similar elements are not taken into account.
  • In the second step, the results are further filtered. Only those products for which a main image has been set are selected. If this is missing, the Amazon algorithm ignores these products.

Now it is clear which products are content-relevant to the search query. However, there can be very many results. A search engine that does not sort all these results would be pointless for the searcher. For the keyword “sunglasses,” the algorithm finds over 100,000 hits, for example. Therefore, after the content selection, the ranking calculation takes place.

The Amazon algorithm significantly influences the search, this sunglasses for example.

How does the Amazon algorithm determine the ranking?

The A9 algorithm is no longer current.

The goal of every seller is for their listing to be at the top of the ranking for a keyword in the search results. This is because most purchases occur in the first three search results.

The Amazon A9 algorithm takes into account many different characteristics of a product with varying weights – but the two most important are undoubtedly relevance and performance. Both have a direct impact.

The relevance is determined based on the keywords used in the product title, the bullet points, the backend, and the product description. Here, Amazon SEO with good keyword research pays off.

The performance is weighted based on the click-through rate, the conversion rate, and the sales volume.

The click-through rate (CTR), also known as the click rate in German, represents the number of clicks on a link in relation to the total number of impressions. For example, if ten users click on a product after seeing it among the search results out of a hundred users, this product would have a CTR of ten percent.

The conversion rate (CR) relates the number of actual purchases to the total number of page impressions. If ten viewers buy the product out of a hundred interested parties who viewed a product page, the CR would be ten percent.

The sales volume describes how often a product has been purchased, for example, in the last 7, 30, or 90 days. This also forms the basis for the sales rank.

The higher these three factors are, the more likely it is that this product will be purchased again in the future, which is why the Amazon algorithm will assign a correspondingly higher rank to this product. Additionally, Amazon conducts many A/B tests to determine the CTR. In this process, the search algorithm, for example, displays various products in rank 1 for the keyword “sunglasses.” The product with the best CTR is likely to remain in first place in the long term.

While relevance can be relatively easily increased through keyword adjustments in the listing (e.g., in the product title), improving performance is more complicated. This is because many aspects come into play, such as product presentation, general conditions, product ratings, or seller performance (including return rates, etc.). An important factor for the Amazon algorithm, for example, is the price and the shipping method. All of this influences the website visitor’s decision on whether to click on the product and whether to purchase it in the next step.

Click-through and conversion rates are both keyword-specific! While product A ranks at the top for the keyword “sunglasses,” this may not apply to another keyword, e.g., “round sunglasses.” Here, product B may have a better CTR and CR because this item better serves the user’s purchase intent. Therefore, during Amazon SEO, multiple keywords usually need to be considered during listing optimization.

Conclusion: This is how the Amazon algorithm works!

The Amazon algorithm evaluates various factors to determine which products appear for a keyword in the search results and in what order they do so. It takes many different aspects into account in the weighting. First, the content relevance is determined, and then it is checked whether a main image has been set for all these products.

Basically, the algorithm always tries to place those products at the top of the ranking that have the highest likelihood of purchase because they best serve the user’s purchase intent. Therefore, in the second step, the algorithm evaluates the relevance and performance of a product in relation to the keyword of the search query. Relevance is primarily measured based on the keywords used in the listing and can be easily influenced. Performance is mainly determined by the click-through rate, conversion rate, and sales volume. This optimization is more time-consuming. In this way, A9 also influences the sales rank, for example.

Image credits in the order of the images: © charles taylor – stock.adobe.com / © Siarhei – stock.adobe.com / Screenshot @ Amazon / © yuriygolub – stock.adobe.com

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