Lunavia Antifungal Pen – Cures Most Athlete’s Foot, Jock Itch, and Ringworm - 25% Undecylenic Acid with added Tea Tree, Jojoba, Clove Bud Oils & Aloe - 3-Pack Twist Pen (9ML Volume)

Lunavia Antifungal Pen – Cures Most Athlete’s Foot, Jock Itch, and Ringworm - 25% Undecylenic Acid with added Tea Tree, Jojoba, Clove Bud Oils & Aloe - 3-Pack Twist Pen (9ML Volume)

ASIN: B0DV12HJQX
Analysis Date: Sep 11, 2025

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Review Analysis Results

C
Authenticity Grade
25.00%
Fake Reviews
4.71
Original Rating
4.10
Adjusted Rating

Analysis Summary

The reviews show a mix of authentic and potentially suspicious patterns. While most reviews appear genuine with specific personal experiences and timelines, there are some concerning elements: extremely high 5-star concentration (5/6 reviews), several reviews mention dramatic results within very short timeframes (days/weeks for toenail fungus which typically requires months of treatment), and some use exaggerated marketing-style language. However, the reviews also contain specific personal details, varied writing styles, and some mention realistic timelines and minor criticisms, which balance the assessment. The moderate fake percentage reflects that while some reviews may be incentivized or overly enthusiastic, the majority appear to be from real users.

Review Statistics

2,361
Total Reviews on Amazon
-0.61
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 (4.10 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 (4.71 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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