Makeup Brush Set, SOLVE 32 Pieces Professional Makeup Brushes Wooden Handle Cosmetics Brushes Foundation Concealer Powder Face Eye Make up Brushes Kit, Black

Makeup Brush Set, SOLVE 32 Pieces Professional Makeup Brushes Wooden Handle Cosmetics Brushes Foundation Concealer Powder Face Eye Make up Brushes Kit, Black

ASIN: B07HCY7Q9D
Analysis Date: Nov 4, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.13
Original Rating
3.60
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity with several concerning patterns but also legitimate variation. Key findings: 1) Unusually high verification rate (100% 'V' badges) is suspicious for Amazon reviews, 2) Rating distribution is polarized with 8/15 reviews at 5-stars and only one 1-star, suggesting potential review manipulation, 3) Several reviews contain generic, repetitive language about 'great price' and 'good quality' without specific details, 4) However, the presence of balanced 3-4 star reviews with specific criticisms (size issues, missing brush types, quality concerns) adds credibility, 5) Multiple reviews mention the same specific complaint about small brush size, indicating genuine customer experiences, 6) The duplicate review (R1CVSXBD0LYAAL appears twice) is concerning for manipulation attempts.

Review Statistics

7,900
Total Reviews on Amazon
-0.53
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 (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 (4.13 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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