COSRX Snail Mucin Repairing Serum 100ml, Hydrating Serum for Face with Snail Secretion Filtrate for Dull Skin & Fine Lines, Korean Skin Care

COSRX Snail Mucin Repairing Serum 100ml, Hydrating Serum for Face with Snail Secretion Filtrate for Dull Skin & Fine Lines, Korean Skin Care

ASIN: B00PBX3L7K
Analysis Date: Nov 6, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.80
Original Rating
4.10
Adjusted Rating

Analysis Summary

The reviews show a mix of genuine and potentially inauthentic content. While most reviews provide detailed, specific experiences with the product (texture descriptions, absorption time, results over weeks), several concerning patterns emerge: 1) Multiple duplicate reviews (RYRZSF96N68F9 and R2ZEUVLFLQG2CR appear twice), 2) Several overly simplistic 5-star reviews with minimal substance ('Very good product', 'Best product ever'), 3) One review admits not having tried the product yet, and 4) One review contains marketing-like language that appears copied. However, the majority of reviews show authentic usage patterns, specific timeframes, and detailed texture/scent observations that suggest real user experiences. The product appears to be legitimate with a moderate percentage of potentially inauthentic reviews.

Review Statistics

95,021
Total Reviews on Amazon
-0.70
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade C mean?

This product has moderate review authenticity concerns. A notable portion of reviews show suspicious patterns. Consider reading reviews carefully before purchasing.

Adjusted Rating Explained

The adjusted rating (4.10 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 (4.80 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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