ASAYA Tone Restore Cream for Dark Knees, Elbows & Neck | Depigmenting Cream with MelaMe™ Complex, Kojic Acid, AHAs & Urea | Brightening & Smoothing | Evens skin tone | Smooths rough, textured skin | For Men & Women | 50 gm

ASAYA Tone Restore Cream for Dark Knees, Elbows & Neck | Depigmenting Cream with MelaMe™ Complex, Kojic Acid, AHAs & Urea | Brightening & Smoothing | Evens skin tone | Smooths rough, textured skin | For Men & Women | 50 gm

ASIN: B0F6YTX3T9
Analysis Date: Sep 10, 2025

Review Analysis Results

C
Authenticity Grade
25.00%
Fake Reviews
4.88
Original Rating
4.30
Adjusted Rating

Analysis Summary

The reviews show generally consistent language describing product benefits (lightweight, non-greasy, brightening) with some natural variation in phrasing and experience reporting. However, there is moderate repetition in key phrases ('non-greasy', 'absorbs quickly', 'soft and smooth') across multiple 5-star reviews, and two reviews (5 and 7) appear nearly identical, suggesting possible copy-paste activity. The overall pattern indicates mostly genuine reviews with a small cluster of potentially inauthentic ones.

Review Statistics

416
Total Reviews on Amazon
-0.58
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 (4.30 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 (4.88 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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