Key points and techniques for evaluating AliExpress, International Station, and Amazon self-maintained accounts.

Evaluation is a key and indispensable part of sellers' operations. Through self-operated account evaluation, users can understand the product more realistically, clearly and quickly, reach the payment interface, complete the purchase, and pass the buyer's evaluation of the product. Sellers can get rid of their dependence on external service providers and reduce costs by operating their own accounts and conducting their own evaluations. It can also help sellers obtain better sales and create hot products.

This article will discuss the self-supporting account evaluation technology in detail from the evaluation environment, and take you to an in-depth understanding of the key points and techniques in the practice of self-supporting accounts.

First of all, environment construction is the starting point of the evaluation. The Amazon platform monitors the user's underlying hardware parameters through IP addresses. Therefore, we need to disguise these parameters through technical means to present them as foreign data. In addition, in order to avoid problems such as high IP duplication rate and DNS country jumping, we need to choose foreign home residential IPs and use technical means to perform terminal shielding to achieve accurate positioning. In this way, we can establish a stable and secure environment in the browser, laying a solid foundation for self-supporting accounts.

In terms of browser anti-association, the fingerprint browsers on the market can only solve the association problem between cookie caches, and there is no real physical configuration, which may leak the LAN IP address. Therefore, we need to install a privacy plug-in in the browser to prevent LAN address leakage and tracking, and operate through a secure terminal. Only in this way can we effectively prevent association at the browser level and ensure the security and stability of the self-supporting account.

When processing foreign payment cards, this is also an important part of the self-supporting account process. However, many foreign credit card segments are currently subject to platform risk control restrictions, which may lead to order failure or cancellation. In order to solve this problem, we need to choose credit card segments that have been evaluated by a large number of accounts and verified for stability to ensure smooth ordering. In addition, for the management of buyer accounts, we need to pay attention to the acquisition of registration information resources, weight management, and ordering skills. It is crucial to improve the store weight and ensure the safe and stable use of buyer accounts.

To achieve this goal, we need to carefully manage the data of the buyer's account to prevent the platform from detecting any abnormal behavior. At the same time, we also need to learn and master ordering skills to simulate the purchasing habits of real users, so that the results of the self-supporting account evaluation are closer to the real shopping process of foreigners.

The process of self-supporting accounts requires technology, resources and experience, but it is also an effective way to reduce risks and improve control. Although various problems may be encountered in practice, as long as we master the correct methods, we can effectively solve these problems and improve the effect of self-supporting account evaluation. Let stores such as AliExpress, Shopee, Lazada, Amazon, Wish, Coal Furnace, Pinduoduo Temu, Dunhuang, eBay, Newegg, Meikeduo, Allegro, Alibaba International, Walmart, OZON, Cdiscount, etc. stand out in the fiercely competitive market environment.