Introduction

Starting from August 2025, Amazon has significantly intensified its automated monitoring systems. As a result, reviews are being removed more frequently, often without what users perceive as a clear or direct violation.

This article explains why Amazon removes reviews and how reviewer behavior is evaluated today.
Its purpose is to give you a clear understanding of the environment in which reviews are monitored, flagged, and deleted.

In recent months, unverified patterns are detected more easily, review removals occur faster, and entire reviewer histories are sometimes erased even when users believe they acted correctly. This trend affects everyone, not only users of review platforms, but anyone whose reviewing activity statistically resembles non-authentic behavior.

Amazon is not reacting to individual actions.
It is reacting to behavioral patterns.

1. Why Amazon Review Removals Are Increasing

Since late 2025, Amazon has deployed far more aggressive, AI-driven monitoring systems to evaluate reviewer activity. These systems operate continuously and at scale, identifying patterns that are often invisible to individual users.

Based on cross-platform data analysis, several recurring outcomes have become increasingly common:

• Some reviews are approved but hidden, contributing to the star rating while remaining invisible on the product page.
• Many reviews are rejected immediately, even when they appear compliant with Amazon’s public guidelines.
• When a suspicious pattern is detected, Amazon often removes every review previously posted by that reviewer account.
• In more severe cases, Amazon permanently disables reviewing privileges.

This phenomenon does not affect only users of review platforms. It impacts any reviewer who posts reviews too frequently, too quickly, or in ways that statistically resemble fake or coordinated behavior. This includes activity coming from Facebook Ads funnels, beta reader groups, informal communities, or private networks.

Amazon is not targeting people.
Amazon is targeting patterns.

Understanding how these patterns are formed and why they trigger removals is essential to protecting a reviewer account and preventing long-term damage.

2. The Four Main Triggers Amazon Is Targeting

Based on BookVillage’s internal data and large-scale cross-platform analysis, Amazon currently focuses on four core behavioral patterns. These patterns are statistically associated with fake, manipulated, or non-authentic reviewing activity and are therefore considered high risk.

These triggers are not evaluated in isolation.
They often overlap and reinforce each other, increasing the probability of review removals or permanent restrictions.

Trigger 1 – Excessive Use of Unverified Reviews (KU and Free Promo)

Amazon treats unverified reviews as a primary risk signal. This includes Kindle Unlimited reviews that do not display the Verified Purchase badge and Free Promo reviews.

Over time, these review types have become problematic because they are heavily abused on other platforms that lack effective moderation tools. In particular, they are frequently associated with fake reviews posted by paid Virtual Assistants (VAs).

These VAs are easily hired through:

• freelance marketplaces,

• private Facebook groups,

• informal review-for-hire networks.

They typically rely on:

• compromised or already-flagged Amazon accounts,

• repetitive timing patterns,

• high volumes of unverified KU or Free Promo reviews.

As a result, Amazon has learned to associate large concentrations of unverified reviews with non-authentic reviewer behavior, leading to fast and often irreversible review removals.

Amazon applies far more aggressive scrutiny to unverified and Free Promo reviews because it cannot verify that a real payment method was used.
When multiple unverified reviews are posted consecutively, the absence of a confirmed transaction becomes a strong negative trust signal.

The opposite is also true.
Reviews linked to verified paid purchases, completed with a valid payment method, provide Amazon with clear proof of genuine consumer activity. Over time, consistently posting verified paid reviews increases the trust level of the Amazon account, reducing the likelihood of removals and restrictions.

This is why repeated use of unverified review types becomes suspicious, while verified paid purchases contribute to long-term account stability.

Trigger 2 – High Weekly Review Volume

Posting too many reviews per week becomes problematic when the increase is sudden and not gradual, and when the reviewing activity lacks a natural consumer progression.

Amazon does not penalize growth itself.
It penalizes unnatural acceleration.

Reviewer accounts that move quickly from little or no activity to high weekly volumes are far more likely to be flagged, especially when reviews are posted:

• in short timeframes,

• with little variation,

• week after week without pauses.

This risk becomes significantly higher when most of these reviews are unverified, as explained in Trigger 1.
When high frequency and unverified review types combine, the resulting pattern strongly resembles professional or automated reviewing behavior.

In contrast, gradual increases in activity that follow a natural, consumer-like rhythm are far less suspicious, particularly when supported by verified paid purchases.

In short:

• Sudden spikes in weekly review volume are dangerous.

• High volume combined with unverified reviews is one of the fastest ways to trigger removals.

Trigger 3 – New or Weak Amazon Accounts Used Primarily for Reviewing

Amazon applies very different tolerance levels depending on the history and strength of the reviewer account.

Accounts with:

• several years of activity,

• regular purchases of physical products,

• diversified buying behavior beyond ebooks,

are generally trusted more and tolerate moderate reviewing activity.

In contrast, new accounts or accounts with little purchasing history are monitored far more aggressively. When such accounts begin posting:

• many reviews per week,

• a high percentage of unverified or Free Promo reviews,

• reviews shortly after account creation,

Amazon often associates this behavior with paid VA activity rather than genuine consumer behavior.

In these cases, review removals and permanent bans are extremely common.

Trigger 4 – Repeated Reviewer–Author Interactions and Platform Network Detection

This is one of the least discussed but most critical triggers.

Most review platforms rely on a simplistic rule:
User A reviews User B, and User B does not review User A.

This is not sufficient.

Amazon does not evaluate reviews pair-by-pair.
It evaluates interaction networks over time.

When the same reviewer:

• reviews multiple books by the same publisher,

• does so within a short time window (for example, within a single month),

• repeats similar interaction patterns across different authors,

Amazon identifies these behaviors as coordinated or non-random, even if direct swaps are avoided.

This risk becomes significantly higher when:

• the reviewer account has a weak purchase history,

• the account is relatively new,

• reviews are mostly unverified.

The situation is further worsened by Virtual Assistants, who often reuse the same Amazon reviewer account across multiple client profiles. These accounts jump from one author to another until they are eventually banned, causing mass deletions of reviews across many books and users.

Because most platforms lack the tools to detect or limit these repeated interaction patterns, entire user networks become easier for Amazon to identify and flag.

Highly Related Articles

In this article, we mentioned several mechanisms and risk factors that are worth exploring in more detail.

Below you will find a list of highly related articles that expand on what you have just read and help you understand how these issues arise and how to avoid them in practice:

👉 How to Post Reviews Safely Using Your Amazon Reviewer Account

👉 Verified Paid Reviews vs. Unverified Reviews – Everything You Need to Know

👉 Why Coin-Based Review Platforms Are Ponzi-Like Systems Destined to Collapse

Conclusion

Amazon review removals are not a matter of luck.
They are the result of detectable behavioral patterns that Amazon now identifies with extreme efficiency.

Ignoring how these mechanisms work means exposing your reviewer account and the books you support to unnecessary risk.
Understanding them means staying operational, credible, and safe over time.

Most platforms do not address these topics openly because they lack the tools or the competence to control them.
BookVillage was built specifically to do the opposite.

We encourage you to share this article within the communities you are part of, so these dynamics can be discussed openly and clearly.

If you want to ask questions or explore these topics further, you are welcome to join our official Facebook group, where you can also submit questions anonymously:
👉 https://www.facebook.com/groups/bookvillage.pub

Our founder, Adriano, is always available to discuss these topics publicly and transparently.

If you want to test a review ecosystem designed with advanced safety systems, controlled interactions, and long-term Amazon compliance in mind, you can do so without risk.

BookVillage is free for everyone for the first 30 days.

👉 Start your 30-day free trial here: https://bookvillage.pub

— The BookVillage Team