Ohuhu Skin-Tone Colours Markers, Brush & Fine Sketch Art Marker Alcohol-Based Brush Pens for Student and Adults' Coloring Illustration Skintone and Hair Shades Marker Set, Honolulu Series
Review Analysis Results
Analysis Summary
Analysis of 16 reviews reveals a mixed authenticity profile. While most reviews appear genuine with specific product details and varied writing styles, several concerning patterns emerge: extremely high 5-star concentration (94%), multiple reviews with minimal content ('Perfect!'), one reviewer appears twice (RN4TBVBNZRJB8), and several reviews focus more on brand/customer service than the specific product. However, the majority contain authentic details about marker performance, blending, color selection, and practical usage experiences. The presence of one 4-star review and varied writing lengths provides some natural variation. The moderate fake percentage reflects that while most reviews appear legitimate, the high 5-star clustering and repetitive positive language suggest some potential manipulation.
Review Statistics
Price Analysis
This Ohuhu marker set appears competitively positioned in the mid-range art supply market with excellent customer ratings. For UK buyers, monitor the price against the £30-£35 range for a good deal, and consider waiting for seasonal promotions if not urgently needed.
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 (4.20 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 (4.93 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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