Current Amazon multi-store operations are subject to extremely stringent monitoring mechanisms, and the main reason for most account bans is the failure to properly manage browser fingerprints. This article will explain to you how Amazon identifies multi-store operations, how important browser fingerprinting is, and how to prevent Amazon multi-store operations from being detected. These and other questions will help you better manage your Amazon multi-store operations.

Operating multiple stores on large platforms like Amazon has always been a common practice among many sellers. After all, having an additional store to list products increases the chances of customers browsing from one of your stores to another. However, over the past two years, many Amazon sellers have noticed that even when using different IP addresses, their stores still have a high probability of being linked and subsequently banned in batches.

Based on our research and interviews with some experienced Amazon sellers, Amazon has significantly upgraded its multi-store detection mechanisms. It now focuses not only on IP-related information but more heavily on users' browser fingerprints! Today, we will explain from Amazon's identification logic how multi-stores are detected and how to properly set up isolation methods to reduce the probability of association.

How Does Amazon Identify Multi-Store Operations?

Amazon no longer relies on a single factor to determine if accounts are linked together; instead, it conducts a comprehensive analysis using multiple types of data, such as network environment, device information, and operational behaviors. The most common and recognized methods are as follows:

1. IP Monitoring Mechanism

IP addresses remain one of the most basic judgment factors. If multiple Amazon stores consistently log in using the same IP address, or frequently switch between several adjacent IP segments, it is easy for the system to flag this as abnormal behavior. Additionally, low-quality proxy IPs are more likely to be added to risk control lists.

However, it is important to note that IP is now only one of the reference criteria, not a decisive factor. This is why many sellers still experience account association even after changing their IP addresses.

2.Browser Fingerprint Tracking (Key Factor)

Compared to IP information, browser fingerprinting is now a crucial method used by most multi-user platforms, including Amazon, to identify multi-store operations. A browser fingerprint is not a single piece of information but a combination of multiple device and environmental parameters, such as operating system type and version, browser type and version, User-Agent, screen resolution, font list, Canvas/WebGL information, time zone, language, and hardware-related characteristics.

This combination of information forms a browser fingerprint that is bound to an account, used to determine if multiple accounts belong to the same user—after all, hardware information is indeed difficult to modify.

3. Cookie and Account Behavior Association

In addition to fingerprint information, Amazon also analyzes local data and behavioral patterns in the browser, such as Cookies, LocalStorage, login status cache, page visit paths, operation sequences, and rhythms. If multiple accounts repeatedly log in within the same browser environment or exhibit highly consistent operational behaviors, the system will record this to determine account association.

How Important is Browser Fingerprinting?

Browser fingerprinting is a critical factor for many platforms to determine if accounts are operated by the same person. It is not a single piece of information but an environmental characteristic formed by a combination of multiple device and system parameters. This information includes operating system type, browser version, resolution, fonts, language, time zone, as well as more basic rendering parameters such as Canvas and WebGL.

Even if a user changes their IP address, if these fingerprint characteristics are highly similar, the platform can still identify that multiple accounts originate from the same device or browsing environment. Therefore, in multi-store operation scenarios, browser fingerprinting often requires more attention than IP addresses. The fundamental reason why many sellers still experience account association after changing IPs is not the network but whether the device and browser environment itself have changed.

Common Operations Leading to Account Detection/Association:

• Operating multiple stores on the same device: This is one of the most common and highest-risk scenarios. Even if you change IP addresses each time, frequently switching accounts on the same computer/browser environment makes it easy to be identified as the same user.

• Similar advertising and price monitoring behaviors: If multiple stores use similar advertising rhythms, operate during the same time periods, adjust prices in identical ways, or follow highly repetitive operational paths, the system will use behavioral models to determine that these accounts may belong to the same team or individual, increasing the risk of association.

• Using identical or overly similar registration information: Using similar information when registering or completing profiles for multiple stores—such as the same email format, similar phone numbers, identical company information, or payment details—will increase the probability of account association. Platforms use information similarity to determine if accounts belong to the same entity.

• Highly similar login times and rhythms: If multiple accounts frequently log in during the same time periods, have similar operation frequencies, or even follow nearly identical daily operational rhythms, the system may determine that these accounts are controlled by the same person or team, triggering association.

• Frequently abnormal network environments: Frequently changing IP addresses in a short period, spanning excessively large geographic regions, or using low-quality, unstable proxy networks can easily lead to the system flagging login behavior as abnormal.

• Accounts/devices with a history of violations or risk control records: If certain devices or environments have previously logged into restricted, frozen, or penalized accounts, new accounts logged into the same environment will often be subject to enhanced monitoring, resulting in significantly higher association risks.

How to Prevent Amazon Multi-Store Operations from Being Detected?

The key to reducing the probability of Amazon multi-store association is not to hide, but to make each account appear as an independent, genuine operating entity. We can adopt a combination of anti-detection browsers (to isolate browser environments) and proxies, creating independent browser environments for each store with distinct fingerprint information, then binding relatively fixed proxy IPs. This approach maximizes the security of your accounts.

Advantages of Using Anti-Detection Browsers:

• Ensures complete environmental isolation between different stores

• Allows manual or automatic adjustment of browser fingerprint differences

• Stabilizes network environments after configuring proxies and IPs

• Offers multiple methods to reduce account association risks

• Comes with built-in independent Cookie and cache management settings

These features effectively prevent cross-contamination of login information and other data, avoiding detection by official systems that multiple accounts are controlled by the same person or team.

Recommended Anti-Detection Browsers

We highly recommend MostLogin Anti-Detection Browser. In addition to implementing the above features, it also helps us better achieve account isolation and automated operations in multiple aspects. Currently, the MostLogin Anti-Detection Browser not only offers the "Pioneer Program"—providing free access to all features except cloud mobile functionality—but also supports team sharing and control operations, making it ideal for individual and team users looking to experience anti-detection browsers.

Its Features Include:

• Fingerprint Spoofing and Device Simulation

• Complete Browser Environment Isolation

• Advanced Proxy and IP Management

• Multi-Account Security Management

• Team Collaboration and Permission Control

• Automation and API Support

• Configuration Templates and Batch Operations

• Security and Data Protection Mechanisms

Summary:

In most cases, Amazon multi-store operations are detected not due to a single reason, but a combination of multiple problematic data points that lead to association and account bans—with browser fingerprinting being the most critical factor. In the current environment, successfully managing Amazon multi-store operations requires proper adjustment of browser fingerprints. Using the MostLogin Anti-Detection Browser allows us to efficiently protect accounts and improve operational efficiency in bulk.

FAQ

Will operating multiple stores on the same computer definitely result in detection?

Not necessarily, but the risk is high. Without environmental isolation, browser fingerprints and behavioral patterns are easily detected.

Will using an anti-detection browser guarantee no account bans?

No guarantees. Anti-detection browsers serve to isolate environments and reduce association risks.

Why do some users avoid issues for a long time while others get banned quickly?

Amazon's risk control is a comprehensive judgment mechanism, and differences in account history, behavior, and environment all influence outcomes.