What is Amazon Review s latest store scoring criteria?

of buyer quality

An excellent buyer can be greatly promoted to buy and leave a message, then the review that stays will naturally be in the front, sometimes, even if some reviews are dozens of helpful, but they will still be ranked after some reviews, this is the importance of buyer quality and real purchase.

2.VP logo or not

VP (VerifiedPurchase) reviews are the most authentic reviews left by Amazon customers after purchasing a product; As a result, reviews from such buyers are more credible, more convincing, and have a higher weight. Therefore, VP comments are often ranked first, and comments without VP logos (that is, direct reviews) no longer have a little weight at all.

retention time

The longer the review is retained, the higher the weight of the review.

As we all know, especially before the two peak seasons of the year, Amazon will conduct a large number of regular deletions.

Therefore, the review that can survive for a long time must be recognized as a high-quality review by the A9 algorithm, so the weight of the review is very high.

4.review the number of likes

The number of clicks on a review is helpful, and the review with a large number of likes will naturally be ranked first.

If the other weights of the same two reviews are basically equal, then the one with the most likes will of course be ranked first. However, if there are essential differences between the two reviews, such as purchase, purchase environment, and VP logo, even if they are helpful, they will not be counted, and there will be no increase in ranking.

Amazon has also long introduced an artificial intelligence system into the A9 algorithm, which can detect fake reviews on the one hand, and help reviews with star ratings on the other. Therefore, reviews that tend to be natural and have a good number and quality of text are bound to occupy some advantages in star ratings.

Amazon review score new changes, review score calculation method has changed, the original calculation method:

Number of Stars = Number of Reviews * Number of Stars Total number of reviews.

Now the calculation method:

In order to avoid the impact of sellers' review evaluations due to being swiped by other sellers, Amazon has set a new scoring method for the review score. There are a number of factors that can affect the Reveiw score now, including:

1. Whether the review has a VP logo.

4. The number of words of the review.

5. Review whether it is useful and useful by buyers.

6. The number of clicks on the review.

7. The number of times the detail page has been clicked.

8. The number of times the seller left the page.

9. The rate at which sellers leave the return page.

10. Review the original star rating.

In other words, the current Amazon review score is no longer a simple two factors before, and the current review is more comprehensive factors such as evaluation content and page situation, and the impact of malicious bad reviews on sellers can be introduced through this new calculation method.

Check whether the verified purchase flag is used.

There is the number of humorous reviews in the latest 10 reviews.

1.review whether there is a verifiled purchase logo, the direct review is no longer weighted a long time ago, and now it is basically 0;

5.Review the number of times it is helpful to be voted by buyers, note that the pitfalls here are the quality of the buyer's account: how long the buyer's account has been and how often they have shopped.

rate, regional distribution pattern, payment method distribution pattern, shopping habits.

6.Review the quality of the buyer's account, which is described above, and the details also include the IP structure (computer room IP, home. This part is currently in China.

There is a deep understanding of this among the swiping bosses; 7.review the original star score;

8.review of the number of clicks, which involves the judgment of a number of factors, such as whether the buyer's purchase behavior is legitimate, that is, whether it is a normal shopping habit; 9.the number of clicks on the detail page; 0.the number of times the buyer left the detail page;

11.The rate of buyers returning to that detail page again, here is a very professional one, and the algorithm team should be commended.

Amazon's latest review scoring algorithm:

1.The amount of time the buyer stays for the review.

Whether it has the VP logo or not.

3.The number of words left by the buyer for the review.

The number of security of the buyer's account.

Original star rating.

The number of times the helpful was clicked.

The number of times the details were clicked.

The role of review in Amazon's rating system includes the following:

1. Provide reference for product selection.

You can evaluate the sales volume by reviewing the quantity, so as to provide a reference for the selection of products. Sellers can evaluate the sales volume of competitors based on the number of reviews, the more reviews, the more potential buyers; The fewer reviews, the fewer potential buyers. As a seller, you know how to choose products.

During the selection period, the analysis of competing product reviews is indispensable, and sellers can evaluate the potential of the product according to the number of reviews of the products on the previous pages, judge the sales volume of competitors according to the number of reviews of a single listing, understand what customers are most concerned about about the product, and explore the quality status of the product itself and customer demands.

Analyzing the negative reviews in the review of competing products, you can find the quality problems and design defects of the product, so that you can avoid similar problems in product development and selection.

2. Increase the listing right of Zhen's stove.

Within a certain range, the more customer feedback on the product and the higher the review star, the system will determine that the product is better, so as to improve the ranking of the listing and add more ** volume to the product.

3. Increase sales.

The core role of review is to increase sales, because review is the evaluation of other consumers on the product, which is more convincing than the description of listing, giving potential customers confidence to buy, dispelling their doubts, and ultimately increasing sales.

4. It helps to analyze competitors and improve products.

Analyzing the review of competitors is more conducive to discovering the quality status of the product itself and customer demands. Refer to the negative reviews in the review of competing products, and from the bad reviews, you can roughly find out the quality problems, design defects, and customer demands of the product, so as to facilitate your own product development and product selection to avoid similar problems.

5. It is directly related to the conversion rate.

Since review occupies an important position in the A9 algorithm, sellers have to study various ways to get review, to put it mildly, to some extent, more reviews = more traffic and conversions = more orders.

If consumers see a listing (especially new product) without any review, in fact, their hearts are empty, who wants to be a guinea pig in the experiment, they will generally reflexively see what others say.

High-quality reviews bring more ** and traffic, pull up the ranking of listings, and thus generate conversions to form orders. In addition, high-quality reviews give potential customers more confidence and increase listing conversion.

1. Provide reference for product selection: Evaluate the sales volume by reviewing the quantity, so as to provide reference for product selection. Sellers can evaluate the sales volume of competitors based on the number of reviews, and then evaluate the feasibility of product selection.

2. Increase sales: For products, the importance of review is self-evident, a good review can give potential customers the confidence to buy, improve conversion rate, and increase sales. Review belongs to the listing and is left by the platform user, then it is the product review.

3. Bring the best volume and traffic: In Amazon's complex Pai Sen name algorithm, review is a very important evaluation factor. A good review can also directly pull up the ranking of products, bring more ** volume and traffic, and generate more orders.

Therefore, any seller must pay attention to the number of reviews and star ratings of their products.

4. It is helpful to analyze competitors and improve products: Analyzing the review of competitors is conducive to discovering the quality of the product itself and customer demands. Refer to the negative reviews in the review of competing products, and you can roughly find the quality problems, design defects and customer demands of the product from the negative reviews, so as to facilitate yourself to avoid similar problems in product development and product selection.

Amazon's customer review system only includes reviews. (

a.That's right.

b.Mistake.

Answer analysis b.

Amazon Inc. (Amazon; nasdaq：amzn）

It is the largest online e-commerce company in the United States, located in Seattle, Huranshengton, China. Founded in 1994, Amazon started as an online book sales business, and now has expanded to a wide range of other products, becoming the world's largest online retailer and the world's second largest Internet company.

Under the company's name, it also includes subsidiaries such as AlexaInternet, A9, Lab126, and Internet Movie Database (IMDB).

Amazon and other sellers offer millions of unique new, refurbished, and used products such as books, videos, videos, and games, digital, virtual electronics and computers, home and garden supplies, toys, baby products, food, apparel, footwear and jewelry, health and personal care products, sports and outdoor goods, toys, automobiles, and industrial products.

In August 2004, Amazon wholly acquired Joy.com. On July 18, 2019, Amazon stopped providing seller services to third-party sellers on Amazon China**. In May 2022, according to a report in the United States**, Amazon plans to send more than 3,000 satellites into low-earth orbit to provide satellite internet services.

The project is known as the "Projectkuiper".

In July 2021, Jeff Bezos officially stepped down as CEO of Amazon and was succeeded by Andy Jassy. No. 3 in the Fortune Global 500 list in 2021.

Buyer quality of review

A review left by a healthy buyer and shopping IP environment will deservedly be at the top. If the buyer who left the review is a natural buyer and the quality is very good, the weight is generally relatively high, and if it is a machine brush, in the eyes of the Amazon A9 algorithm, there is basically no weight at all.

VP logo or not

The age of the review

It is also how long the retention time of this review will directly affect the weight of this review.

review the number of likes

That is, the number of helpful clicks on a review, and the review with the largest number of likes will be ranked first. This is the important theory of the service provider's "no negative reviews on the homepage" service**.

If you pay attention to observation, you will find that many of the listing pages of big sellers, many of the reviews in front of them are long-winded, not only have**, but even have**, and then look down, the number of likes is also hundreds.

Isn't that a simple question?

Affected by the number of reviews and the star rating of the reviews.

of buyer quality

There is no doubt that the number of buyers who have lost quality stools has risen to the most important influencing indicator of the review star. A healthy buyer is empty early and the review left by the shopping IP environment will deservedly rank at the top.

Sometimes you will find that even if you order dozens of helpful reviews, they will still be ranked after some reviews, which is the importance of buyer quality and real purchase.

Some sellers look for a lot of reviews, but they basically find machine brushes (there are fewer and fewer real people), that is, the buyers who raise small numbers to leave reviews in batches, this method is not only extremely dangerous, but also the quality of the review score is extremely low.

In fact, this is very normal, because the buyers who leave bad reviews are natural buyers, and the quality is very good, and those who leave you five-star praise are some machine brushes, and there is basically no weight of jujube fiber in the eyes of AmazonA9 algorithm, so it is reasonable to say that a little bad review and a sharp drop in scores.