pH-D Feminine Health Support - 600 mg Boric Acid Suppositories - Woman Owned - for Vaginal Odor Use - 36 Count

pH-D Feminine Health Support - 600 mg Boric Acid Suppositories - Woman Owned - for Vaginal Odor Use - 36 Count

ASIN: B08W6D8PVW
Analysis Date: Sep 22, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.53
Original Rating
3.90
Adjusted Rating

Analysis Summary

The review set shows moderate authenticity concerns with a 28% estimated fake percentage. While most reviews contain specific personal medical experiences that appear genuine, several patterns raise suspicion: multiple reviews use nearly identical medical terminology ('BV,' 'yeast infections,' 'pH imbalance'), some contain overly enthusiastic language with minimal detail ('Buy,' 'Excellent works fast'), and there's a notable concentration of 5-star ratings (13/15 reviews). However, the majority provide detailed personal health journeys, specific usage timelines, and realistic product experiences that suggest legitimate user feedback. The presence of one 1-star review about packaging issues and one 3-star review about quantity concerns adds credibility to the overall distribution.

Review Statistics

28,868
Total Reviews on Amazon
-0.63
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 (3.90 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 (4.53 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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