Allurials 99.75% Pure & Organic Aloe Vera Gel - Made in USA, Clinically tested & Dermatologist approved, Hydrates & Heals Dry & Damaged Skin & Hair- 12 Oz

Allurials 99.75% Pure & Organic Aloe Vera Gel - Made in USA, Clinically tested & Dermatologist approved, Hydrates & Heals Dry & Damaged Skin & Hair- 12 Oz

ASIN: B073XN2WPK
Analysis Date: Oct 10, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.27
Original Rating
3.70
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive indicators include: natural language variation across reviews, specific usage details (hair care, skin conditions, shipping issues), and a balanced rating distribution (8x 5★, 2x 4★, 3x 3★, 1x 2★). However, concerning patterns include: two identical duplicate reviews (R37KQCLUA9CE2I appears twice with identical text), another near-duplicate (R3G3GHB2F4WJH8 appears twice with minor text variation), and some overly enthusiastic language in multiple 5-star reviews. The presence of shipping/packaging complaints (4 reviews) adds credibility, as fake reviews rarely mention negative delivery experiences. The moderate fake percentage reflects the duplicate content concern balanced against otherwise authentic-seeming reviews.

Review Statistics

4,172
Total Reviews on Amazon
-0.57
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 (3.70 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 (4.27 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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