Which is better for Amazon's evaluation system?

At present, Amazon's evaluation is mainly in 3 ways:

1 Machine brush

2 autotrophic number

3 Real people (foreigners)

1 Machine brush is cheap but unstable and dangerous

2 The current main method of self-supporting account is to use some anti-association browsers to create an environment. An environment corresponds to a number and continuously raise the account, which absolutely simulates the real buying behavior and path of foreign buyers.

3 The cost of real foreigners is too high and foreigners have some discrimination. So in fact, most of the real foreigners are overseas Chinese, but this is actually not guaranteed by the rating.

At present, the self-supporting account is mainly completed through the dai management IP + migratory bird protection associated browser to create the environment. It is also the current mainstream Amazon evaluation system.

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Most people can't do the Amazon evaluation system ranking list migratory bird anti-related browsers

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Origin blog.csdn.net/amazon20201212/article/details/113810883