EGV 3 Pack Screen Protector Compatible for Samsung Galaxy S21 Ultra 6.8-inch, HD Clear Flexible Film, Positioning Tool, Support Fingerprint, Bubble Free, Model No. ZU

EGV 3 Pack Screen Protector Compatible for Samsung Galaxy S21 Ultra 6.8-inch, HD Clear Flexible Film, Positioning Tool, Support Fingerprint, Bubble Free, Model No. ZU

ASIN: B08PZ73RGK
Analysis Date: Nov 4, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.60
Original Rating
4.00
Adjusted Rating

Analysis Summary

The review set shows moderate authenticity concerns but falls within the 'good with minor concerns' range. Positive aspects include detailed, specific installation experiences from multiple reviewers, varied review lengths, and some critical feedback (3-star review discussing TPU material limitations). However, several red flags appear: multiple extremely brief 5-star reviews in foreign languages with generic praise ('Excelente producto', 'Works Fine for me Go For it'), some overly enthusiastic language ('absolutely AWESOME'), and repetitive praise of installation ease. The video content integration is positive but doesn't fully offset the pattern of brief, low-effort 5-star reviews mixed with more detailed authentic ones. The product appears legitimate but likely has some incentivized or low-quality reviews boosting ratings.

Review Statistics

22,726
Total Reviews on Amazon
-0.60
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 (4.60 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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