SUNGUY USB C auf USB C Kabel 0.3M [2Pack ], 60W USB C Kabel Winkel Kompatibel mit iPhone 16/15 Pro,MacBook Pro,iPad Pro 2020,MacBook Air,Galaxy S20/S10, Huawei

SUNGUY USB C auf USB C Kabel 0.3M [2Pack ], 60W USB C Kabel Winkel Kompatibel mit iPhone 16/15 Pro,MacBook Pro,iPad Pro 2020,MacBook Air,Galaxy S20/S10, Huawei

ASIN: B07H96FWY9
Analysis Date: Oct 30, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.67
Original Rating
4.00
Adjusted Rating

Analysis Summary

The review set shows moderate authenticity concerns with several suspicious patterns. While many reviews appear genuine with specific usage scenarios and detailed experiences, there are notable red flags: 1) Extremely high 5-star concentration (14/15 reviews are 5-star, 93%), 2) Duplicate review content (review #6 and #14 are identical), 3) Several overly generic reviews lacking detail ('Works well', 'Tolle und wertige Qualität'), 4) Multiple reviews from unverified purchases (2/15). However, the majority of reviews contain specific usage contexts (car charging, power banks, Android Auto) and practical observations about cable length and angled connector functionality, suggesting many are from real users. The duplicate review and generic content push the score into the moderate concern range.

Review Statistics

2,196
Total Reviews on Amazon
-0.67
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 (4.67 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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