UGREEN 100W USB C Charger Cable for iPhone 17/17 Air/17 Pro/17 Pro Max/16, MacBook Pro, iPad Pro, Dell XPS, Samsung Galaxy S25/S24/S23 Ultra, Switch, Pixel, 10FT Black

UGREEN 100W USB C Charger Cable for iPhone 17/17 Air/17 Pro/17 Pro Max/16, MacBook Pro, iPad Pro, Dell XPS, Samsung Galaxy S25/S24/S23 Ultra, Switch, Pixel, 10FT Black

ASIN: B099K9PS7W
Analysis Date: Nov 7, 2025 (re-analyzed Nov 7, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.87
Original Rating
4.20
Adjusted Rating

Analysis Summary

The reviews show a moderately suspicious pattern with several legitimate-seeming reviews mixed with some concerning elements. The product has an overwhelmingly positive rating distribution (14/15 reviews are 5-star, 1 is 4-star) which is somewhat unusual. Several reviews exhibit marketing-style language, repetitive phrasing, and generic product descriptions that could indicate incentivized reviews. However, many reviews contain specific, practical details about usage scenarios, device compatibility, and physical characteristics that suggest genuine user experiences. The presence of non-English reviews (Swedish, Italian, Spanish) and varied writing styles provides some authenticity. The main concerns are the lack of critical feedback and the formulaic structure of some reviews.

Review Statistics

18,500
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 (4.20 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 (4.87 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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