RK ROYAL KLUDGE F99 Wireless Mechanical Keyboard with Numper Pad, Tri-Mode Hot Swappable 95%100 Keys Gaming Keyboard BT/2.4G/USB-C, RGB Backlit Gaming Keyboard for PC/Tablet/Xbox/PS4/PS5

RK ROYAL KLUDGE F99 Wireless Mechanical Keyboard with Numper Pad, Tri-Mode Hot Swappable 95%100 Keys Gaming Keyboard BT/2.4G/USB-C, RGB Backlit Gaming Keyboard for PC/Tablet/Xbox/PS4/PS5

ASIN: B0FB2XB6M1
Analysis Date: Oct 30, 2025 (re-analyzed Oct 30, 2025)

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Review Analysis Results

D
Authenticity Grade
42.00%
Fake Reviews
4.73
Original Rating
3.70
Adjusted Rating

Analysis Summary

This product shows moderate signs of review manipulation with several concerning patterns. The review distribution is heavily skewed toward 5-star ratings (10 out of 14 reviews), which is unusual for authentic review patterns. There are multiple duplicate reviews with identical text about video content, suggesting coordinated posting. Several reviews contain generic, non-specific praise without meaningful product details ('feels great,' 'value for money'). However, there are also legitimate-seeming reviews with detailed experiences and minor criticisms, including some 4-star reviews that discuss specific features like switch types, connectivity, and space requirements. The presence of German text and varied writing styles provides some authenticity balance.

Review Statistics

56
Total Reviews on Amazon
-1.03
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 (3.70 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 (4.73 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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