Conntek RL-30104 U.S. 3-Prong Heavy Duty Dual Outlet Adapter, Black

Conntek RL-30104 U.S. 3-Prong Heavy Duty Dual Outlet Adapter, Black

ASIN: B00BHGY37C
Analysis Date: Oct 2, 2025 (re-analyzed Oct 2, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.70
Original Rating
4.00
Adjusted Rating

Analysis Summary

The reviews show a mixed authenticity profile with some concerning patterns but also legitimate characteristics. The product has 9 reviews with 8 verified purchases (89% verification rate), which is positive. However, there's an extremely high 5-star concentration (78% 5-star, 11% 4-star, 11% 3-star) with minimal negative feedback, which is somewhat suspicious for a simple electrical adapter. The reviews contain mostly generic praise about 'solid build quality' and 'heavy duty' construction with limited specific usage details. Several reviews use similar phrasing about durability and build quality. The single 3-star review appears genuine with specific limitations noted and photo evidence mentioned. While there are some patterns suggesting potential incentivized or formulaic reviews, the presence of verified purchases and one authentic critical review lowers the overall fake percentage estimate.

Review Statistics

821
Total Reviews on Amazon
-0.70
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 (4.70 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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