Organic African Black Soap - For Acne & Dark Spots | Natural Vegan and Cruelty Free – Satisfaction Guarantee 1lb bar | 90 day Supply

Organic African Black Soap - For Acne & Dark Spots | Natural Vegan and Cruelty Free – Satisfaction Guarantee 1lb bar | 90 day Supply

ASIN: B01CLTDH3O
Analysis Date: Nov 6, 2025 (re-analyzed Nov 6, 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 reviews show several concerning patterns that suggest a moderate level of inauthentic reviews. While there are likely genuine reviews mixed in, the aggregate shows: 1) Extreme polarization with 12/14 reviews being 5-star and only one 1-star review, creating an unnatural distribution; 2) Multiple reviews use dramatic, life-changing language ('changed my life,' 'saved my skin,' 'incredible') that is common in incentivized reviews; 3) Several reviews follow similar storytelling patterns about severe acne conditions being miraculously cured; 4) Repetitive medical condition mentions (acne, tinea versicolor) across multiple reviews; 5) One review appears duplicated (R3OTYOIIKWVY8I appears twice with identical content). However, the presence of some negative reviews and varied writing styles suggests not all reviews are fake.

Review Statistics

14,128
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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