Esanik Lot de 2 protections d'écran pour Samsung Galaxy S23 Ultra/S22 Ultra, S22 Ultra PET HD, couverture complète 3D incurvée S23 Ultra/S22 Ultra, compatible avec empreintes digitales, installation

Esanik Lot de 2 protections d'écran pour Samsung Galaxy S23 Ultra/S22 Ultra, S22 Ultra PET HD, couverture complète 3D incurvée S23 Ultra/S22 Ultra, compatible avec empreintes digitales, installation

ASIN: B0D12JWST2
Analysis Date: Sep 30, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.07
Original Rating
3.50
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive indicators include: natural rating distribution (mostly 5-star but with 1, 2, 3, and 4-star reviews), detailed installation experiences with specific problems mentioned, and bilingual reviews that appear authentic. Concerning patterns include: multiple reviews with nearly identical phrasing about 'easy installation' and 'no bubbles' across different languages, some overly enthusiastic language that reads like marketing copy, and several reviews mentioning trying multiple other brands before this one (a common fake review trope). The bilingual reviews appear genuine in their language switching patterns, and the negative reviews provide credible balance. Overall, this appears to be a legitimate product with some potentially incentivized or overly enthusiastic reviews mixed in.

Review Statistics

669
Total Reviews on Amazon
-0.57
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 (3.50 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 (4.07 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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