Building a safe and efficient Amazon self-supporting account evaluation system: Detailed explanation of the four necessary conditions

As competition on the platform intensifies, more and more merchants are unable to cope with conventional operations. Traditional advertising and marketing methods can no longer meet the needs of merchants, so self-supporting account evaluation has become an important promotion method for merchants. This article will explore the advantages of self-supporting account evaluation and the technical conditions required to implement self-supporting account evaluation.

1. Advantages of self-supporting account evaluation

1. High authenticity: Self-operated account evaluation is an evaluation account operated by the merchant itself. Compared with ordinary users, it can more truly reflect the actual situation of products or services. This kind of highly authentic evaluation can help merchants gain more trust and recognition, thereby improving product rankings and traffic distribution.

2. Strong controllability: The evaluation of self-supporting accounts can be operated by merchants according to their own needs and plans, and the time, content and method of evaluation can be better controlled. This is very important for merchants because it can better control the rhythm and effect of marketing promotion.

3. Low cost: Compared with traditional advertising and marketing methods, the cost of self-operated account evaluation is relatively low. Merchants can reduce marketing costs through their own evaluation accounts, and can also avoid cooperation costs with third-party organizations, thereby reducing overall promotion costs.

4. High flexibility: Self-supporting account evaluation can be flexibly operated according to the needs of merchants. It can evaluate specific products or services or comprehensively evaluate the entire merchant. This high flexibility can help merchants better adapt to market needs and changes.

Building a safe and efficient Amazon self-supporting account evaluation system: Detailed explanation of the four necessary conditions

2. When sellers set up the necessary conditions for the evaluation system, we need to address 4 indispensable factors.

1. A stable network environment is the cornerstone. It needs to be baptized by technical means to disguise the underlying hardware parameters of the computer or mobile phone as foreign data to avoid the platform's deep detection through IP. In addition, the use of unique foreign home residential IP can achieve accurate positioning and solve problems such as high IP repetition rate and DNS country jump.

2. Browser anti-association has become an important link. Fingerprint browsers on the market mainly solve the cache problem between cookies, but without real physical configuration, the local area network may expose the IP address. Therefore, it is particularly important to build a secure terminal to run and install a privacy plug-in, which can effectively prevent the local area network from leaking IP addresses and prevent HTM "ping" tracking.

3. The relevance of foreign payment cards is also a major challenge. Nowadays, many foreign credit card segments are closely monitored by the platform, resulting in order failure or cancellation. In order to solve this problem, we use a credit card backend that has been tested and evaluated by a large number of accounts and can be directly used to ensure the security and stability of the card segment.

4. The registration information resources of the buyer’s account, the weight management of the account, and the ordering skills are all key factors that affect the store’s weight and the safe and stable use of the buyer’s account.

In short, self-maintaining an account is a technical job that requires a deep understanding of the platform’s risk control mechanism. The core of the evaluation lies in a pure environment, IP, formal and reliable buyer information, credit cards or gift cards, and account maintenance evaluation techniques adjusted according to risk control.

This article comes from online submissions and does not represent the analysis of kookeey. If you have any questions, please contact us

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