There is a saying in the industry that "fake orders are like a bowl of poison. Drinking it will only quench your thirst, but if you don't drink it, you may not live long, so why not just drink it?"
There are always some sellers who hold different mentalities, ignoring the heavy blows of the platform and risking their stores and accounts being closed, and fueling the rampant growth of gray transactions such as brushing orders.
However, Amazon will not be lenient towards these bad sellers and has recently been removing product reviews from "problematic" buyers.
Amazon removes a large number of "problematic" customer reviews
Recently, a seller said on a social platform that he received an email from Amazon deleting his review, and wondered if he was being pranked. The editor learned that this wave of deleting reviews has swept a large number of sellers ↓
I received the same email, but I can't see the specific comments or order number. Received two emails today, unknown. I took screenshots of the comments every day, but now I can’t find which one was deleted.
At present, many sellers have reported that they have received emails from Amazon Seller Center, in which the content of the emails mentioned that Amazon stated that the platform has taken action to delete product reviews related to buyers who violated Amazon policies from sellers’ listings.
"Amazon deleted some real and positive feedback, which had a great impact on our sales and reputation," one seller complained. At the same time, Amazon also launched an automated process to compress the comments left by buyers and provide sellers with relevant listing information, which seems to be a big move to solve a wave of violations.
However, not all sellers have engaged in bad behavior. Many innocent sellers are very worried and are concerned about risks. They don’t know what to do. One seller admitted that Amazon has been very strict in controlling reviews in the past two months, and not all reviews from review buyers were involved in this wave.
Some sellers mentioned that one of their listings had more than 20,000 reviews, and some of the reviews were removed. However, it is currently impossible to determine whether these reviews came from normal buyers or problematic buyers.
Some sellers even said that they had not violated any regulations, but their comments were still removed.
“In the past two months, I have frequently received many emails from Amazon asking for review deletions, but I have not violated any regulations,” a seller said helplessly. He basically receives four or five emails every month, and most of them involve hot-selling products. Some of the listings have even been deleted and are not for sale for a year. He suspects that he has been attacked by his peers.
Amazon is going to settle accounts? It has never been soft on cracking down on fake reviews
But more sellers are wondering if Amazon is going to settle accounts later? Will it investigate thoroughly?
Adhering to the principle of "better to kill by mistake than to let off the guilty", Amazon has always been very strict on the manipulation of reviews. Generally, it will take immediate measures if it finds any attempt to manipulate buyers' reviews. However, Amazon, which has always cracked down on false reviews, did not carry out a large-scale rectification of reviews this year. People can't help but feel that Amazon is going to clean up a wave of illegal sellers at the end of the year.
In addition, some sellers reported that they received emails to remove reviews for products they had removed from the shelves several years ago, which seemed to exacerbate this feeling.
While feeling uneasy, a seller took immediate action after the comments were removed. He tracked the removed comments and found that the addresses and times of these comments were normal, so he wondered if he had been accidentally damaged by the platform.
Regarding the above speculations, more sellers believe that their accounts have violated regulations and are more likely to be detected by Amazon or reported by others.
Even in the above situation, some sellers think that it is not a big problem, and Amazon is just using the detection algorithm to filter suspicious comments and automatically delete them. Accounts with too many positive reviews or too simple reviews may be judged as "problematic buyers."
As long as the seller can confirm that he has not made fake orders, it will not have much impact on the account. If you think your comment was deleted by mistake, you can also provide relevant evidence and information to fight for the right to restore the comment.
But there is one undeniable fact: Amazon has never been lenient in its crackdown on fake reviews.
Although it has not cracked down on it, Amazon has indeed increased the penalties for manipulating reviews. If you are not careful, you will end up with reserved funds and your account will be suspended. In addition, Amazon has also taken a step to "cut off the source of the problem" by directly cooperating with fake order companies, trying to solve the problem of manipulating reviews at the source.
Amazon updates AI reviews, a double-edged sword
In recent years, Amazon has made too many changes to reviews, especially since this year, Amazon began using artificial intelligence to continuously upgrade reviews, but this is a double-edged sword.
Taking the recent AI review analysis update as an example, Amazon extracts the "hot keywords" in the reviews and marks them with different colors. The labels are divided into good reviews, medium reviews, and bad reviews. Good reviews are green labels with a check mark, becoming a new badge of honor for sellers; medium reviews are gray backgrounds, reminding sellers which aspects are still acceptable but still have room for improvement; bad reviews are yellow labels with a termination symbol, and the warning function is obvious.
On the surface, it is an intelligent upgrade, which not only simplifies the processing of review content, but also creatively introduces a color-coded "hot keyword" label system to make product feedback more intuitive.
But increasingly intuitive visual signals also highlight the advantages and shortcomings of the product.
Not only are there labels on reviews, there are also "data balances". If the number of positive reviews under a label is more than twice the number of negative reviews, then the label is displayed as a positive review , which may represent widespread customer satisfaction; otherwise, it is a negative review , which may be the starting point of a crisis . If the difference between positive and negative reviews is not much, it is judged as a neutral review.
Quantitative analysis undoubtedly enhances the transparency and operability of review data.
Previously, Amazon also used AI to summarize reviews, which not only identified common review themes, but also provided concise summaries on product detail pages, highlighting some product attributes, such as performance, ease of use, and stability, and putting check marks next to them to indicate that the product has these characteristics.
Undoubtedly, consumers can use Amazon's AI review summary function to quickly see the information they are interested in among the vast number of reviews, saving shopping time. However, AI review summary also requires a certain amount of review data as a basis. If there is not a certain amount of reviews, the reference value of AI summary will be greatly reduced.
The advantage brought by the number of reviews, which used to be extremely important, will be infinitely weakened. The bad reviews hidden in a large number of reviews will also be exposed. New sellers will lament the fairer competition environment created by the narrowing gap in the number of reviews, while old sellers need to continue to focus on the product itself and keep moving forward.
Now, three months after the feature was launched, it has also been complained by a large number of sellers and consumers. The inversion machine that can relieve back pain was described by Amazon AI as "a table that can relieve pain"; among more than 3,000 reviews, 16 customers complained about rust problems, and Amazon AI directly generated a summary "Some customers reported rust on the lid."
Many sellers believe that the AI summary exaggerates the negative reviews of the products, which has dealt a heavy blow to the sellers’ peak season sales. listing Amazon Comment |
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