NAD Supplement 8457mg Extra Strength NMN Alternative Liposomal + Green Tea for Women & Men w/Urolithin A, Resveratrol, CoQ10, Alpha Lipoic Acid.
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Review Analysis Results
Analysis Summary
This product shows moderate signs of review manipulation with several concerning patterns. The rating distribution is heavily skewed toward 5-star reviews (8 out of 11), with only one 3-star and two 4-star reviews. Multiple reviews contain suspicious elements including: overly enthusiastic language with medical claims ('rewinding vitamin', 'anti-aging support'), repetitive phrasing across different reviews, and generic praise without specific details. The duplicate review from RQ9C90OM3Y14 is particularly concerning. However, some reviews show balanced feedback including price concerns and lack of results, which adds credibility. The presence of Spanish reviews alongside English ones isn't inherently suspicious but contributes to the mixed authenticity profile.
Review Statistics
Price Analysis
This appears to be a premium anti-aging supplement with a strong 4.62/5 rating from 709 reviews, suggesting good customer satisfaction. Given the multiple high-quality ingredients (Urolithin A, Resveratrol, CoQ10), expect pricing in the upper range of NAD+ supplements. Wait for Amazon Subscribe & Save or seasonal sales for the best value, and verify seller authenticity before purchasing.
MSRP Assessment
Market Position
Buying Tips
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 (3.60 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 (4.62 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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