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How the Amazon Adjusted Rating System Works

Amazon uses a weighted average to calculate their star ratings. They look at the age of a review and whether the purchase was "Verified." While this sounds good, it doesn't stop professional scammers who have found ways to verify fake purchases.

The Flaw in the Verified Purchase Badge

In 2026, many sellers use "Refund Groups." They ask people to buy the product at full price so the review gets the "Verified Purchase" badge. Then, they refund the customer via PayPal or Gift Cards. To Amazon, this looks like a real sale, but to a review analysis tool, the pattern of these sales often looks unnatural and suspicious.

Filtering Out the Review Noise

A standard rating includes every single review, even the ones that are only one word long like "Good" or "Nice." Our amazon review checker strips away these low-quality, "thin" reviews. We only count feedback that provides actual details about the product. When you remove the fluff, a 4.5-star product often drops to a 3.2-star rating.

Spotting Word Count Patterns

Real customers write in a variety of lengths. Some write two sentences, others write five paragraphs. Scammers often pay for "bulk" reviews that all have a similar word count (usually between 30 and 50 words). If a product has hundreds of reviews that are almost the same length, our system flags them as potentially automated.

What is a High Sincerity Score

When you use our review analysis tool, you will see a "Sincerity Score." This percentage tells you how much of the feedback comes from unique, unbiased human voices. A score of 90% or higher means you can trust the stars. Anything below 60% means the seller is likely manipulating the system.

Get the Real Score

You don't have to guess if a listing is honest. A professional amazon star rating analyzer can scan thousands of comments in seconds to find these patterns. Run your product link through our Adjusted Rating Tool now.

Run a scan with our Adjusted Rating Tool now

Don't let a fake five-star badge trick you. Trust the data.