Ubiquinol 200mg as Kaneka QH Reduced CoQ-10 | Stabilized - 3rd Party Tested | Enhanced Bioavailability | Cardiovascular & Mitochondria Function Support | Non-GMO by Health Thru Nutrition (Pack of 30)

Ubiquinol 200mg as Kaneka QH Reduced CoQ-10 | Stabilized - 3rd Party Tested | Enhanced Bioavailability | Cardiovascular & Mitochondria Function Support | Non-GMO by Health Thru Nutrition (Pack of 30)

ASIN: B00LFVDK1E
Analysis Date: Nov 6, 2025 (re-analyzed Nov 6, 2025)

Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.60
Original Rating
4.00
Adjusted Rating

Analysis Summary

The reviews show a mix of genuine and potentially inauthentic content. Positive indicators include: detailed personal experiences with specific health conditions (mitochondrial disease, energy improvements), mixed ratings (4-5 stars dominant but with some 3-star reviews), and mentions of product issues that were resolved. Concerning patterns include: several overly generic 5-star reviews ('Perfect', 'Good'), some repetitive phrasing about energy benefits, and a few reviews with marketing-style language about product superiority. The duplicate review (RFBE3EF8UX3RS appearing twice) is unusual but could be a system error. Overall, the majority appear legitimate with a moderate percentage of potentially inauthentic reviews.

Review Statistics

542
Total Reviews on Amazon
-0.60
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 (4.00 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.

Share This Analysis

Learn More About Fake Reviews

Analyze new product