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Many people believe that account issues come from violations, operational mistakes, or flawed strategies. But if you’ve observed enough real-world cases, you’ll notice a harsher truth: most accounts don’t fail at the moment of a violation. They begin to fail much earlier — at the level of their network environment.

An IP address is not just a technical detail. It is the starting point of an account’s lifecycle.

Platforms Fear “Abnormality,” Not Just Violations

In the eyes of platforms, an account is not merely a user ID. It is a digital identity that must remain consistent over time.

Platforms rarely jump straight to bans. Instead, accounts move through an invisible trust curve: high trust, normal trust, risk monitoring, limited reach, restricted permissions, and finally suspension.

Most operators only notice the final stage. They rarely realize that their accounts were quietly downgraded long before that.

Among all signals, IP is one of the earliest and most fundamental indicators of account credibility.

From a platform’s perspective, violations can be handled. But abnormal patterns are what truly trigger risk models.

Platforms continuously evaluate whether an IP changes too frequently, whether it matches historical behavior, whether it comes from high-risk networks, and whether IP, device, and behavior patterns make logical sense.

When these signals drift from expected patterns, platforms rarely issue explicit warnings. Instead, they silently reduce account trust.

The symptoms are familiar: less exposure, less traffic, and tighter restrictions.

What looks like a content or strategy problem is often, at its core, an environment problem.

A “Clean” IP Is Not the Same as a Stable IP

Many people assume that as long as an IP is clean, an account is safe.

But platforms care far less about one-time cleanliness than about long-term consistency.

The real value of a stable IP lies in continuity. It allows an account to appear as a real, persistent user in the eyes of the platform.

By contrast, accounts that frequently switch IPs, devices, or locations are far more likely to be flagged by risk models — even when their operations follow the rules.

The difference is not in what you do. It’s in how much the platform trusts you.

Multi-Account and Team Operations Are Most Exposed to IP Risks

As operations scale, IP-related risks multiply.

Multiple accounts sharing the same network, cross-region logins by team members, mixing cloud servers with local devices, and randomly switching proxies may seem efficient to operators. To platforms, however, they look like risk signals.

That’s why more teams are starting to focus on environment management — building long-term, controllable network environments for each account.

Some teams adopt professional proxy solutions such as JibaoProxy to reduce account correlation risks and maintain consistent network identities.

The key is not the proxy itself, but whether an account maintains a coherent digital identity over time.

At Its Core, an Account Is a Digital Identity

If an account is treated as an asset, then:

Content determines growth speed.

Strategy determines commercial value.

Environment determines lifecycle.

Many accounts don’t fail because of poor operations. They fail because they never had a stable identity foundation in the first place.

Once IP stability is ignored, an account’s lifespan begins to shrink — long before any visible warning appears.

Conclusion: IP Is Not a Cost, but a Barrier to Entry

In today’s platform ecosystem, competition has moved beyond content and strategy. It has shifted to the infrastructure layer.

A stable IP is no longer a bonus. It is a prerequisite for long-term account survival.

For years, Amazon sellers have focused on the same levers: product research, pricing, listings, and ads.

But in 2026, many sellers are running into limits long before those levers matter.

Not because their products are bad — but because their account environment isn’t stable enough to scale.

This is something I’ve seen repeatedly across different sellers, regions, and operating models.

Most Amazon Account Problems Are Environmental

When an Amazon account gets flagged, restricted, or quietly loses trust, the instinct is to look at operations:

Was the product risky?

Were ads scaled too fast?

Did something violate policy?

Sometimes that’s true. But often, the real issue sits one layer deeper.

Amazon evaluates accounts holistically, including:

IP behavior and network consistency

Device and browser fingerprints

Geographic alignment

Long-term login patterns

When these signals don’t line up, risk accumulates quietly over time — even if everything else looks compliant.

Why Proxies Are No Longer an “Advanced Trick”

A few years ago, proxies were treated as niche tools. In 2026, they’ve effectively become infrastructure.

They’re commonly used for:

Account warm-up and long-term stability

Operating across multiple Amazon marketplaces

Remote teams or distributed access

Separating environments between accounts

This isn’t about hiding activity. It’s about reducing environmental noise so accounts behave like normal, consistent users.

What Actually Matters in an Amazon Proxy Setup

Not all proxies behave the same, and price alone is a poor indicator of quality.

From practical experience, Amazon-compatible proxy setups tend to share three traits:

Clean IP historyIPs with minimal prior abuse reduce background risk signals.

Session stabilityFrequent IP rotation often causes more harm than good.

Geographic consistencyYour IP location should align with the marketplace you’re operating in.

This is why many sellers move away from generic datacenter proxies and toward residential-based solutions.

Tools like jibaoproxy are often mentioned in this context because they focus on residential IPs and regional accuracy — though the broader takeaway is simple:

Proxy quality directly impacts account reliability.

A More Realistic Tool Priority for 2026

One mistake I see often is sellers stacking tools too early.

In practice, a more sustainable order looks like this:

Stable network and proxy infrastructure

Isolated browser environments (fingerprint / anti-detect)

Product research and market analysis

ERP and workflow tools

Advertising and analytics

When the foundation is unstable, adding more tools usually increases risk instead of performance.

Why “Well-Tooled” Sellers Still Get Flagged

Speed is tempting.

Bulk listings, aggressive ads, parallel accounts — all of these can work if the environment is solid.

But when they’re layered onto an inconsistent setup, they amplify the wrong signals.

From a cost perspective, preventing instability early is far cheaper than recovering restricted accounts later.

Tools Help — But Mindset Matters More

No proxy or tool guarantees safety.

Long-term sellers still rely on:

Reasonable login behavior

Gradual scaling

Conservative operational decisions

Compliance-first thinking

That said, in 2026, one pattern is clear:

Without a stable account environment, most optimization efforts never reach their ceiling.

Final Thought: Test Before Committing

Infrastructure decisions are hard to evaluate on paper.

Different sellers operate at different scales, in different regions, with different workflows. That’s why many people prioritize tools that offer a free trial, allowing real-world testing before commitment.

Some proxy providers, including jibaoproxy, offer this option, which makes it easier to validate stability without upfront risk.

Regardless of the tools you choose, the principle remains the same:

In cross-border e-commerce, social commerce, and large-scale platform operations, managing multiple stores or accounts has become standard practice. However, many sellers face the same issue:

Stores show no policy violations, yet suddenly get linked, traffic-restricted, or permanently suspended.

Devices are changed, account details are separated, and operations are careful— so what's really causing the problem?

In most cases, the root cause is clear: a non-independent IP environment.

Using a dedicated proxy IP for multi-store operations is no longer optional—it is foundational.

1. How Platforms Detect Store and Account Linking

Many operators believe platforms only evaluate account information or visible behavior. In reality, modern risk-control systems analyze multiple technical signals, including:

Login IP addresses

Network type (residential proxy vs data center proxy)

IP usage history and reputation

Shared network environments across multiple accounts

Behavioral similarity patterns

Among these factors, IP address data plays the most fundamental role.

If multiple stores continuously operate under the same IP—or under reused or “dirty” IPs—platforms can easily classify them as being controlled by the same entity, regardless of account separation.

This is why multi-account proxy solutions are critical.

2. Risks of Sharing One IP Across Multiple Stores

High-Risk Flagging

Platforms may not suspend accounts immediately, but shared IP usage often leads to:

Traffic suppression

Reduced exposure

Lower conversion rates

Chain-Reaction Account Linking

When one store triggers risk control, all stores sharing the same IP are likely to be reviewed or restricted.

Difficult Recovery

Even after changing devices or credentials, IP behavior history remains, making post-incident recovery far more expensive and uncertain.

3. Why Dedicated Proxy IPs Are the Best Solution

True Network-Level Isolation

With dedicated proxy IPs:

One store is assigned one exclusive IP

No IP overlap between stores

Platforms cannot establish IP-based relationships

This level of separation is infrastructure-level protection, not a workaround.

Residential Proxies Match Real User Behavior

Compared to data center proxies, residential proxies for e-commerce offer:

Real ISP-sourced IPs

Low reuse rates

Natural traffic patterns

As a result, platforms assign higher trust levels, making them ideal for long-term store operations.

Long-Term Account Authority and Stability

Stable IP environments help:

Build consistent login behavior

Reduce verification triggers

Improve overall account trust scores

In SEO terms—and platform terms— stability equals authority.

4. Common IP Mistakes That Lead to Store Linking

Using Free or Shared Proxies

These IPs are often:

Overused

Blacklisted

Highly unstable

They dramatically increase the risk of account linking.

Frequently Rotating IPs

Constant IP switching creates abnormal behavior signals. For account longevity, IP consistency is more important than rotation frequency.

Choosing Proxies Based on Price Alone

Low-cost proxies often result in:

Suspensions

Throttled traffic

Lost operational time

These hidden costs outweigh any initial savings.

5. Choosing the Best Proxy for Multi-Store Management

When selecting an anti-detection proxy for multiple stores, prioritize providers that offer:

Dedicated (exclusive) IPs

High-anonymity residential proxies

Long-term IP stability

Country and city-level targeting

Scalable infrastructure and reliable support

Solutions like jibaoproxy are designed specifically for preventing store and account linking, making them suitable as long-term infrastructure rather than temporary fixes.

Conclusion: Dedicated Proxy IPs Are the Foundation of Multi-Store Success

In multi-store operations, success is determined less by tactics—and more by environment stability.

IP addresses are not optional tools. They are core infrastructure that directly affects account survival and scalability.

If you are dealing with account linking, traffic suppression, or store security issues, consider starting with a free trial of jibaoproxy.com. Testing a dedicated residential proxy IP in real operating conditions is the most reliable way to validate long-term viability.

In many real-world projects, there is a common assumption:

As long as the logic is correct and the request rate is well controlled, the system should run stably.

In practice, however, a large number of projects do not fail because of flawed implementation. They fail because of a much more basic — and frequently overlooked — factor: the access environment.

Among all environmental issues, IP-related problems are often the most underestimated.

A Common Pattern: Everything Looks Fine, Until It Suddenly Isn’t

In scenarios such as data collection, automation scripts, or account-based operations, the early phase usually goes smoothly:

Request rates are moderate

Concurrency is well controlled

Only public endpoints are accessed

For the first few days, nothing seems wrong. Then subtle changes start to appear:

The request success rate gradually drops

403 or 429 responses begin to occur

Accounts remain normal, but access becomes unreliable

At this stage, most teams focus on debugging code — while the real issue lies elsewhere.

Using Proxies Is Easy. Using the Right Proxies Is Not.

Once IP issues are suspected, introducing proxies is usually the next step.

Common approaches include:

Free proxy IPs

Extremely cheap shared proxies

Self-built proxy pools with limited IP sources

These solutions may work temporarily, but they quickly expose their weaknesses:

Low IP availability and frequent failures

Repeated use of the same IP ranges

Highly unstable success rates

On the surface, the project is still running. In reality, stability is never guaranteed.

This leads to an important realization:

A proxy that “works” is very different from one that supports long-term operation.

The Real Breakthrough: Understanding What Platforms Actually Monitor

Before continuously switching proxy solutions, more experienced teams take a step back and analyze how target platforms detect abnormal behavior.

Based on many real-world cases, risk control systems often focus on:

Whether a single IP shows long-term, repetitive behavior

Whether the same IP ranges are reused frequently

Whether access patterns are overly centralized or uniform

In many cases, the problem is not request speed. It is that the traffic looks too much like it comes from the same entity.

Once this becomes clear, the direction of the solution also becomes clearer:

Use cleaner IP sources

Ensure diversity and natural behavior

Apply rule-based IP rotation

Minimize manual maintenance costs

A More Sustainable Choice: Prioritizing Stability Over Trial and Error

For projects that need to run continuously, maintaining proxy pools manually quickly becomes a burden.

As a result, many teams eventually choose more stable and manageable proxy services, with core requirements such as:

High anonymity

Predictable availability

Rule-based IP rotation

Low operational overhead

In this context, services like jibaoproxy often become one of the practical choices. Not because they are “all-purpose,” but because they significantly reduce interruptions caused by IP-related issues.

Stability is the real value.

What Changes After Adjusting the Strategy

After switching to a more stable proxy approach, projects typically show clear improvements:

Request success rates become predictable

IP failures shift from widespread to isolated cases

Systems can run for days without manual intervention

Most importantly, teams can finally focus on improving the project itself — instead of constantly questioning whether the IP layer has failed again.

Practical Takeaways for Long-Running Projects

Based on accumulated experience across many projects, several lessons stand out:

Do not wait until blocks occur to think about IP strategy

Free solutions are suitable for testing, not production

Long-term cost includes maintenance time, not just pricing

Seven days of stable operation matters more than one perfect day

Tools are not the goal — choosing the right tools is

The choice of service always depends on project requirements. However, in terms of stability and controllability, Jibaoproxy meets the baseline expectations of many production-level projects.

Final Thoughts

Many technical problems appear to be caused by insufficient implementation.

But once examined more closely, the root cause is often much simpler:

The weakest point is usually the most basic one.

With the advent of the big data era, the demand for data in businesses is increasing rapidly. Whether it’s understanding market trends, analyzing competitors, or uncovering consumer behavior, data has become the core of decision-making. In this process, web scraping (data collection) has become an important tool for acquiring information, gaining increasing popularity among enterprises.

However, when performing large-scale data collection, there are often technical and operational challenges, such as anti-scraping mechanisms, IP blocks, and data quality issues. So, how can businesses improve their data collection efficiency while avoiding being blocked by websites? Let’s explore this together.

1. Challenges of Large-Scale Data Collection

Large-scale data collection not only faces technical difficulties but also needs to deal with websites’ anti-scraping strategies. Many websites employ the following methods to block scraping:

IP Blocking: If a large number of requests come from the same IP, websites may treat this as malicious scraping behavior and block that IP.

CAPTCHA: Many websites require users to solve CAPTCHAs when abnormal traffic is detected, preventing automated tools from collecting data.

Dynamic Content Loading: Some websites load content dynamically via JavaScript, meaning scrapers need to simulate browsers to parse this data.

These anti-scraping measures significantly affect data collection efficiency, especially when large amounts of data need to be collected, and website blocking can disrupt an otherwise smooth scraping process.

2. Solutions to Improve Scraping Efficiency

To avoid being blocked and to improve data collection efficiency, businesses and data scientists often adopt the following strategies:

A. IP Rotation: Using Proxy IPs

The most common way to improve scraping efficiency is by using proxy IPs. By rotating proxy IPs, scrapers can frequently change their IP addresses during the collection process, avoiding triggering the website’s anti-scraping mechanisms. The advantages of proxy IPs are as follows:

Avoid IP Blocking: By rotating proxy IPs, scrapers can switch between different IPs, preventing a single IP from being blocked due to too many requests in a short time.

Increase Scraping Speed: Using multiple proxy IPs allows multiple requests to be made simultaneously, speeding up the data collection process.

Bypass Geographical Restrictions: Proxy IPs can simulate requests from different regions, effectively bypassing geographical restrictions imposed by IP addresses and enabling global data collection.

B. Dynamic Proxy Pool Management

Another key strategy for improving efficiency is to build a dynamic proxy pool. By managing the proxy pool, scrapers can select the most appropriate proxy IP based on time and request conditions, ensuring anonymity and stability in the requests. This method not only reduces the risk of being blocked but also allows scrapers to flexibly choose high-quality proxy IPs as needed.

C. Using High-Quality Proxy Service Providers

Choosing a suitable proxy IP service provider is crucial for data scraping. High-quality proxy providers typically offer a rich pool of IPs from different regions, ensuring stability and high performance. These service providers often offer API interfaces, allowing developers to easily call proxy IPs for large-scale data collection.

For businesses needing high-quality proxy IP services, Jibaoproxy is an ideal choice. It provides a global proxy IP pool, supporting large-scale data collection, and boasts high stability and speed, effectively avoiding blocks and improving scraping efficiency.

3. Best Practices for Data Collection

In addition to using proxy IPs, the following tips are essential for improving scraping efficiency:

Respect the robots.txt Protocol: Every website has its own robots.txt file, which specifies which pages are allowed to be scraped and which are prohibited. Adhering to these rules not only avoids legal issues but also improves scraping efficiency.

Simulate Browser Requests: Some websites render content dynamically via JavaScript, so scrapers need to simulate real user behavior to load page data. Tools like Selenium can simulate the browser loading process and scrape dynamically generated data.

Set Appropriate Request Intervals: Frequent requests may be recognized as malicious behavior by the website. Setting reasonable intervals between requests (e.g., one request per second) can effectively reduce the risk of being blocked.

4. How to Choose the Right Proxy IP Service Provider?

Choosing the right proxy IP service provider is crucial for data collection. When selecting a provider, businesses need to consider the following factors:

Richness of the IP Pool: High-quality service providers usually have a large number of proxy IPs, which can meet the needs of large-scale data scraping.

Stability of Proxy IPs: High-quality proxy IPs perform well in terms of connection speed and request stability, ensuring efficient data collection.

Wide Geographical Distribution: If you need to collect global data, choosing a provider that supports IPs from multiple countries is more convenient.

API Support: Providers that offer easy-to-integrate API interfaces make it easier for scrapers to manage proxy IPs.

Jibaoproxy provides a global range of IPs with extremely high stability and security, making it ideal for stable data collection tasks. Its high-performance proxy IP service can effectively support large-scale data scraping, enhance efficiency, and help businesses bypass firewalls and anti-scraping technologies.

5. Conclusion

Data collection is a critical part of business intelligence analysis, and proxy IPs are an effective tool for improving scraping efficiency and bypassing blocks. By using proxy IP services, businesses can bypass anti-scraping mechanisms and achieve efficient, stable data collection, enhancing data acquisition efficiency and providing more accurate information for subsequent business decisions.