NMNH | 120 NAD+ Capsules | 1-A-Day Tablet 4 Months Supply | NAD with Trans-Resveratrol & Urolithin A | Anti Ageing Liposomal Max Absorption | Vegan | No Fillers | UK Company

NMNH | 120 NAD+ Capsules | 1-A-Day Tablet 4 Months Supply | NAD with Trans-Resveratrol & Urolithin A | Anti Ageing Liposomal Max Absorption | Vegan | No Fillers | UK Company

ASIN: B0F91XPSZ6
Analysis Date: Sep 13, 2025

Review Analysis Results

D
Authenticity Grade
65.00%
Fake Reviews
3.25
Original Rating
2.20
Adjusted Rating

Analysis Summary

Analysis reveals significant manipulation with 65% fake reviews. Key findings: 1) Multiple duplicate reviews with identical text but different ratings (reviews 4, 9, 10, 11, 12 show exact text duplication with rating changes from 5★ to 0★), indicating coordinated manipulation. 2) Unnatural rating distribution with extreme polarization (only 5★ and 0★ ratings, no middle ground). 3) Several reviews contain suspiciously detailed technical specifications that read like marketing copy rather than genuine user experiences. 4) The pattern suggests both fake positive reviews to boost ratings and fake negative reviews to manipulate competitors.

Review Statistics

35
Total Reviews on Amazon
-1.05
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 (2.20 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 (3.25 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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