NMNH (NMN Alternative) 500mg | UK Made | 60 Capsules, 1 Month Supply | NAD+ Supplement | 4X Stronger Than NMN | Liposomal High Absorption | Dihydronicotinamide Mononucleotide

NMNH (NMN Alternative) 500mg | UK Made | 60 Capsules, 1 Month Supply | NAD+ Supplement | 4X Stronger Than NMN | Liposomal High Absorption | Dihydronicotinamide Mononucleotide

ASIN: B0F1G8KPTJ
Analysis Date: Nov 8, 2025

Review Analysis Results

D
Authenticity Grade
42.00%
Fake Reviews
4.27
Original Rating
3.40
Adjusted Rating

Analysis Summary

This product shows moderate signs of review manipulation with several concerning patterns. The rating distribution is heavily skewed toward 5-star reviews (7 out of 11), with only one 4-star, one 3-star, and one 1-star review. Multiple reviews contain suspicious elements including generic praise without specific details, exaggerated health claims ('reversing aging,' 'feeling like the old me'), and formulaic language. The verified purchase rate is 73% (8/11), which is reasonable but doesn't eliminate concerns. Several reviews mention taking the product for extended periods (3 months, multiple bottles) yet provide vague results. The one-star review appears genuine with specific criticism about lack of effects and price, creating a more balanced but still suspicious overall pattern.

Review Statistics

74
Total Reviews on Amazon
-0.87
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 (3.40 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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