Tempered Glass For Motorola Edge 2024 / Moto Edge 2023 Screen Protector 3 Pcs [6.6 Inch], 9H hardness, Ultrasonic Fingerprint Support, HD Clear, Bubble-free

Tempered Glass For Motorola Edge 2024 / Moto Edge 2023 Screen Protector 3 Pcs [6.6 Inch], 9H hardness, Ultrasonic Fingerprint Support, HD Clear, Bubble-free

ASIN: B0FVXNRP4D
Analysis Date: Nov 8, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.80
Original Rating
4.10
Adjusted Rating

Analysis Summary

The reviews show a moderately suspicious pattern with 100% verified purchase status and 85% 5-star ratings, which is unusually high even for legitimate products. However, there are several mitigating factors: the reviews contain specific product details, installation experiences, and mixed feedback about camera protectors that suggest authentic usage. The 3-star and 4-star reviews provide balanced criticism about missing installation accessories and flash photography issues, which reduces suspicion. While the overwhelmingly positive sentiment and repetitive praise phrases ('easy to install', 'great quality') raise some flags, the detailed descriptions of actual usage and specific product features suggest mostly genuine customer experiences with some potential review manipulation.

Review Statistics

10,475
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 (4.10 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 (4.80 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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