24k Gold Under Eye Patches (25 Pairs), eye mask, Collagen Skin Care Products, Eye Patches for Puffy Eyes, eye masks for dark circles and puffiness

24k Gold Under Eye Patches (25 Pairs), eye mask, Collagen Skin Care Products, Eye Patches for Puffy Eyes, eye masks for dark circles and puffiness

ASIN: B0BDD7D34M
Analysis Date: Nov 3, 2025

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Review Analysis Results

D
Authenticity Grade
42.00%
Fake Reviews
4.60
Original Rating
3.60
Adjusted Rating

Analysis Summary

The review set shows moderate signs of inauthenticity with several concerning patterns. While many reviews appear genuine, there are notable red flags: 1) Extreme rating skew with 11 out of 15 reviews being 5-star (73%), 2) Duplicate review (RPMZJTEIQ1HRT appears twice with identical content), 3) Several reviews use overly enthusiastic marketing language that reads like product descriptions rather than personal experiences, 4) Multiple reviews contain nearly identical phrasing about 'cooling effect' and 'reducing puffiness' suggesting coordinated content, 5) The single Spanish review stands out as potentially targeting different markets. However, the presence of legitimate 3-star reviews with specific complaints and the overall reasonable variation in writing styles provides some balance.

Review Statistics

10,495
Total Reviews on Amazon
-1.00
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade D mean?

This product has significant review authenticity issues. Many reviews show patterns consistent with fake or incentivized reviews. Exercise caution.

Adjusted Rating Explained

The adjusted rating (3.60 stars) represents what we estimate this product's rating would be if fake reviews were removed. This product's adjusted rating is lower than Amazon's displayed rating (4.60 stars), suggesting positive fake reviews may be inflating the score.

How We Detect Fake Reviews

Our AI analyzes multiple factors: language patterns (generic vs. specific), reviewer behavior (history, timing), temporal anomalies (review clusters), verification status, sentiment authenticity, and statistical outliers. No single factor determines a review is fake - we look at the combination of signals.

Important Limitations

No automated system is perfect. Sophisticated fake reviews can evade detection, and some genuine reviews may be incorrectly flagged. Use this analysis as one data point in your purchasing decision, not the only factor. Reading actual review content yourself is always valuable.

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