Brake Light Switch 0015456409 6Pin FIT for Mercedes-Benz C230 C280 C43 AMG CLK320 CLK430 CLK55 AMG E430 E55 AMG G500, G55 AMG G550 ML320 ML430 ML500 ML55 AMG SLK230 SLK32 AMG SLK320

Brake Light Switch 0015456409 6Pin FIT for Mercedes-Benz C230 C280 C43 AMG CLK320 CLK430 CLK55 AMG E430 E55 AMG G500, G55 AMG G550 ML320 ML430 ML500 ML55 AMG SLK230 SLK32 AMG SLK320

ASIN: B09VD43T6G
Analysis Date: Oct 1, 2025 (re-analyzed Oct 1, 2025)

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Review Analysis Results

C
Authenticity Grade
25.00%
Fake Reviews
4.20
Original Rating
3.70
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive aspects include varied writing styles, specific vehicle model mentions (ML 430, SLK 230 Roadster), and realistic technical details about installation challenges. However, concerning patterns include: 4 out of 5 reviews being 5-star with minimal negative feedback, one review containing a spelling error ('aand'), and the single 1-star review appearing genuine with specific failure details. The high verification rate (all marked 'V') combined with predominantly glowing 5-star reviews suggests some potential review manipulation, but the presence of authentic-sounding technical details and one legitimate negative review prevents a higher fake percentage assessment.

Review Statistics

35
Total Reviews on Amazon
-0.50
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 (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 (4.20 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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