How are Amazon star scores calculated? How are they calculated?

The principle of Amazon star rating is to add up the negative and positive attitudes, and then take the weighted average to get the star score. So how is Amazon star score calculated?

How is Amazon star rating calculated?

1. The quality of buyers.

The quality of the buyer's account has risen to the most important influencing indicator of the rating star. A review left by a very normal buyer account and shopping IP environment ranks first. Sometimes, even if some reviews have dozens of helpful points, they will still be ranked behind some reviews, which is the importance of the quality of the buyer's account and actual purchases.

2. Whether the VP flag exists.

VP reviews are the most authentic reviews left by buyers after purchasing a product. Therefore, these buyers' reviews will be more credible, more convincing, and more weighty. Therefore, this review often ranks first. Reviews without the VP mark (i.e. direct reviews) are completely weightless.

3. Comments are kept for a certain period of time.

The time mentioned here refers to the length of time that buyer reviews are retained on the product page, which will directly affect its weight.

Amazon regularly deletes reviews, especially before the two peak seasons each year. Both swiped and left reviews are likely to be deleted.

Therefore, reviews that can be retained for a long time are identified as high-quality reviews by the A9 algorithm. In this way, the weight of the review may be greater than 10 five-star reviews generated by machines.

4. The number of likes on the comment.

Clicking “Help” will be ranked first, which is an important theoretical source of non-negative services on the service provider’s home page.

When other weights of two reviews are equal, there will be more positive reviews for the product. However, if there are essential differences between the two reviews in terms of purchase account, purchase environment, VP logo, etc., the ranking will not rise even if you click "Helpful".

5. The word count and content of the comments.

Amazon introduced the AI ​​system into the A9 algorithm. It can not only detect false reviews. In addition to that, it can also help with the star rating. Therefore, reviews tend to leave reviews naturally. The quantity and quality of the texts are very good, which will definitely give some advantages in the star rating.

In general, Amazon’s star score is based on factors such as the quality of the buyer, the presence of the VP badge, the age of the review, the number of likes on the review, and the word count and content of the review.