To put it simply , Amazon evaluation is the comprehensive service comments that Amazon sellers obtain through evaluation methods from buyers on the Amazon platform. In detail , Amazon sellers pass the evaluation, contact Amazon buyers, enter the store through the platform to buy products, let buyers receive the products, let them to the sellers themselves and their products, including: the quality of the product itself, product appearance requirements , seller service attitude, logistics receiving experience and a series of services, to leave a high-quality and real comprehensive evaluation. Through the evaluation, it can help the seller to make the Amazon platform like their products faster and give them better rankings, and it also makes it easier for buyers who enter the store to recognize their products.

Now let me analyze the mechanism of Amazon's monitoring and evaluation. Amazon has two monitoring mechanisms for leaving comments. The first is the proportion of comments left, and the second is the proportion of abnormal accounts. The first formula : the ratio of comments = total number of comments / total number of orders , this ratio is best controlled below 5%, if it is a new product, it can be relaxed to 10-20%. As for why this number is, because the natural review rate is 2%, this is the actual data from Amazon's official statistics. If you deviate too much from this data, it will trigger Amazon's automatic review mechanism. The second formula : the proportion of abnormal accounts = abnormal accounts / total buyer accounts , generally speaking, this proportion needs to be less than 3%. This abnormal account refers to those buyers who have been marked as abnormal accounts by Amazon, such as the rate of comment is too high, reported by the seller for a review, or when the seller wrote a POA. In general, as long as these two ratios are well controlled, Amazon’s automatic review mechanism can be avoided with a high probability.

So how to do it, 1. First of all, the quality of your buyer account should be high. If you are a new seller and have no resources, you should be very strict in the review of the evaluation service provider. To what extent are you strict? You only accept the return after the evaluation and it is a self-returning PP. Anyone who does not meet this requirement will be rejected. Don't make do with it, because it involves store security issues. Once your account has a problem, it will be a fatal blow for new sellers . And you are a new seller, there is no historical record to dilute, once there is a problem, your abnormal ratio is very high, and it will be automatically reviewed at once. 2. Secondly, if there is a phenomenon that the review rate is too high, the operation of comment dilution needs to be carried out. For example, if you are placing 25 orders every day , your natural number of comments per day should be between 1-4, but if the number of comments is between 5-10 in a short period of time (may be due to the operation error of the intermediary) etc.) , at this time, you should arrange for a review-free list as soon as possible to dilute the review rate . But at this time, you should also remember that the quality of the account is your root, and don't confuse the order. 3. In the process of simulating real shopping, how can it not be monitored by Amazon? In the final analysis, it is to ensure that buyers follow your guidelines when shopping. The specific guidelines are as follows. You give the buyer a keyword and let him browse other products (each product needs to browse for more than 5 seconds), then add your product to the shopping cart, and then place an order the next day. After the goods are received, you need to leave a review every 3-4 days . Generally speaking, the buyer will follow the agreement.

Of course , as long as the evaluation is carried out, there will be certain risks, and there is no 100% security and stability , but what we can do is to minimize the risks and control all the links as much as possible in our own hands. At present, the only thing that can do this is self-raised account evaluation. The platform has six main risk control points in the evaluation of buyer numbers : 1. Evaluation of hardware environment; 2. Network environment; 3. Registration information; 4. Payment information; 5. Receipt information; 6. Buyer As long as the behavior can master these six points, then the evaluation is not difficult, but it does not mean that the control can be controlled. The resources needed, the time and energy spent are all necessary. In addition, the platform will also detect the number of orders, conversion rate, order comment rate, etc. of the store. If the store data is too abnormal, it will also lead to risk control. These are things that sellers can control. Getting to the point : you need to understand where you have a problem, and then think about how to solve it. Assuming you have a problem with controlling store data, you are looking for a real person evaluation.

There are two types of real-person test scores: the first type, the foreign real-person test that you find yourself, the second type, and the so-called real-person test service provider? The first: then it can be basically determined that the other party's 1-5 points are basically no problem. After all, the real person is using his own mobile phone locally, the local network is operating, the registration information, payment information, and delivery address are also The real person owns it. So are real people really stable? That is, the behavioral problem can be analyzed from these aspects; whether the order rate of the buyer account is too high : (no normal user will frequently place orders and shop on the platform every day, and there are also very few) nor There will be people who log in on the platform and will definitely shop. Whether the comment rate of the buyer account is too high , the comment rate of a platform user's account may not even be 10%. After all, many people's habit is to buy it as soon as it is bought, and will not comment unless the product is really good. Satisfied, impressed us, and when we shopped ourselves . What is the shopping and browsing behavior of the other party , whether it is searched by keywords? Or direct ASIN search to place an order? When looking for products to browse, do you deliberately search for them? Is there any shopping? These are all abnormal user behaviors. In the platform's big data, these are abnormal customers, so the platform will naturally be very strict in reviewing these abnormal customers. These behaviors make users not like real people at all ! The second: looking for a so-called real service provider? This is even more difficult to say. Like the above-mentioned behavioral problems, it is definitely uncontrollable, and it is impossible to know the real information of the buyer. I don't know the quality of the buyer , and can I really be sure that it is a real person? This is worth considering and pondering carefully.

The Amazon platform has become more and more strict in the risk control of evaluation. Now the self-supporting account is more picky about the environment of raising the account and the method of placing orders, and the technology of raising the account in the early years is no longer applicable. We have been developing the self-supporting number evaluation environment for 5.6 years, and we have the ability to control risk at any time. As long as you do the evaluation, it will definitely stay with you. The same program is also applicable to cross-border e-commerce platforms such as Amazon, ebay, wish, Lazada, shoppe, AliExpress, Ali International, Walmart, mercari, newegg, etc. How much energy and time do you have to make up the order? Success is often hard-won, and there will definitely be some losses in this process, but perseverance will always end well ! Welcome to technical exchange preparation: zcwm0001