MaryRuth's Liquid Multivitamin + Hair Growth | Biotin 10000mcg | Lustriva Hair Growth Supplement | Clinically Tested in Women for Thicker Hair & Facial Wrinkle | Skin Care | Ages 18+ | 15.22 Fl Oz
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Review Analysis Results
Analysis Summary
The reviews show a mix of genuine and suspicious patterns. Positive aspects include detailed personal experiences with specific timelines (3 weeks, specific dates), mixed ratings (including 1-star and 4-star reviews), and varied writing styles. However, concerning patterns include: extremely high 5-star concentration (12/15 reviews are 5-star), several overly enthusiastic reviews with repetitive phrasing about hair growth results, duplicate review content (review #7 and #13 are identical), and some reviews with minimal substance ('I have bought 4 so far'). The presence of foreign language reviews mixed with English suggests potential international review manipulation. The moderate fake percentage reflects that while many reviews appear authentic, there's a concerning pattern of repetitive positive content and duplicate reviews that suggest some coordinated activity.
Review Statistics
Price Analysis
This is a premium-priced supplement with strong consumer ratings (4.6/5 from 14,780 reviews). While we can't compare to MSRP, the product competes in the higher end of the hair/skin supplement market. Check current Amazon pricing against other premium brands like Nature's Bounty or Sports Research for value comparison before purchasing.
MSRP Assessment
Market Position
Buying Tips
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 (4.00 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 (4.60 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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