In-depth analysis of the review pitfalls! Is your review really safe?

Every

Before the peak season of the year, Amazon will carry out large-scale review deletion and restriction operations. This year is no exception, and the situation is getting worse and worse. Now a route has been formed where you get good reviews before the peak season, give you a break during the peak season, and then directly clean up your account and hold funds after the peak season.

Given the current situation, if we continue to use machine-generated reviews on a large scale, we will undoubtedly be walking into trouble. So before starting this article, let me first popularize the difference between evaluation and fake orders.

The most significant difference between the two is that the evaluation process emphasizes a gradual process, trying to simulate the real growth curve as much as possible, leaving reviews slowly with small increases, so that the product is always in a safe and healthy growth state. If necessary, the product will be given to the buyer for free and a commission will be paid.

Because the process is close to real purchases and most buyers purchase FBA products directly, when buyers follow the real purchase process, they are less likely to be detected by Amazon.

The process and purpose of fake orders are exactly the opposite of reviews. They seek to use explosive growth in sales and reviews to quickly occupy the top spot on the search page in the shortest possible time and quickly earn a wave of funds without considering long-term profits from the product. Therefore, there are many cases where products that dominate the screen for a week or even a month are suddenly banned by the fake order faction.

After Amazon became the leading e-commerce platform in the past two years, it has been in the public eye. After all, fake orders are a stain on the platform's reputation. Therefore, Amazon's efforts to crack down on fake orders have been increasing year by year. It is not uncommon for Facebook's fake order groups to be busted. The era of machine-generated fake reviews and large-scale group control of reviews is long gone. Therefore, most sellers have returned to the operation itself, relying more on products and refined operations, and choosing safe and reliable evaluations to accelerate the growth of new products.

After understanding the difference between the two, let me talk about the applicable situations. Generally speaking, fake orders are suitable for sellers who have thousands of buyer accounts and are proficient in group control technology, and can complete a large number of purchases and reviews in a short period of time.

But for the vast majority of small and medium-sized sellers, the above conditions are too harsh. Therefore, more often we prefer to choose to obtain ranking growth and reviews through evaluations. Evaluations usually have higher weights and can better withstand Amazon's deletion of reviews.

However, evaluation is not easy either. If we want to do this job well, the following issues are unavoidable for us sellers.

Frequently encountered problems during evaluation

1. Difficulty in finding buyers

As Amazon's review mechanism for buyer accounts becomes increasingly strict, many professional underground review buyer accounts have suffered heavy casualties. The days when you could just post something on Facebook or a forum and get a bunch of buyers responding are long gone.

Today's buyers are more picky and cautious. They will never review a product unless they like it, resulting in oversupply in the review market. The review commissions keep rising, and it is even harder to get a review for niche products.

2. Buyers are difficult to control.

Since the sources of buyers for reviews are complex, the best case scenario is that friends in the United States are willing to help with the reviews. In this non-face-to-face situation, no matter how detailed our operation steps are, there is no guarantee that the buyer will strictly follow our process to make the purchase.

Especially in the case of new products, buyers need to search for a relatively long time. Some buyers with less patience will take shortcuts and directly search and purchase using the product name or ASIN, resulting in the entire evaluation process not achieving the desired results.

We don’t have any good control measures for this situation, we can only pray that the buyer is reliable.

3. It is difficult to post comments.

Because the buyers for reviews are basically selected randomly, sellers have no binding force on buyers (on a buyer-first platform like Amazon, sellers always have the least say). This often results in buyers not submitting reviews on time and with quality as required by the seller, which affects or even disrupts the seller's growth rhythm.

But you can't rush him. If you push him too far, the buyer may even complain about you. You can only keep smiling and continue asking him to leave a review.

4. After-sales service is difficult to control.

The reason is the same as the above. Some buyers have participated in many evaluation activities and understand certain Amazon platform rules. After helping you buy the product, they threaten to give the seller a bad review. In order to keep things peaceful, sellers usually pay more commissions to keep things quiet; even worse, some sellers simply return the goods after collecting the commission, causing the sellers to suffer heavy losses.

5. It is expensive.

As buyer accounts become more and more valuable, high-quality reviews are not only given for free, but may even require a handling fee of 60-100. The initial cost of building a self-built review system is about 50 RMB, which can be reduced to around 20 RMB in the later stages, greatly saving the review cost.

6. Security is difficult to control.

When looking for reviews on the market, we usually need to check the buyer’s profile to check whether it is a professional brush. Professional brushes are easily detected by Amazon. Amazon now uses the buyer account pollution principle, that is, if a buyer reviews a listing that is mainly used for fake orders, Amazon will add it to the potential blacklist.

At this time, if this review account tests your product again, your listing will also be contaminated. This is the legendary domino effect, and once it falls, a large number of accounts will fall as well.

It is even possible that when you are checking the buyer's profile, he is still a normal buyer, but later the buyer is dazzled by the number of tests sent to him, and suddenly one day he thinks it would be a good idea to take more orders and earn more money, and gradually he becomes a professional buyer. What’s even more frightening is that the buyer himself is not a professional reviewer and does not know Amazon’s logic for checking fake orders, so he is very easy to fall into the trap, which will then affect your listing.

However, you can completely control your own evaluation account , from its birth to subsequent buyer behavior. Your destiny is in your own hands. Compared with the evaluation of service providers on the market and finding someone to send it for testing yourself, it is very safe.

Is there any suitable solution for the above problems?

To put it another way, what methods can be used to effectively avoid the occurrence of the above problems?