Lamicall Handyhalterung Fahrrad, Handyhalter Motorrad - Universal 360° Fahrrad Halter für iPhone 17/16/15/14 Pro Max Plus, Air, SE, 13/12 Pro Max Mini, 11 Pro Max, Xs, XR, Samsung S23 S22, Smartphone

Lamicall Handyhalterung Fahrrad, Handyhalter Motorrad - Universal 360° Fahrrad Halter für iPhone 17/16/15/14 Pro Max Plus, Air, SE, 13/12 Pro Max Mini, 11 Pro Max, Xs, XR, Samsung S23 S22, Smartphone

ASIN: B083FDJ9B9
Analysis Date: Sep 30, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.85
Original Rating
4.20
Adjusted Rating

Analysis Summary

The reviews show a moderately suspicious pattern with several legitimate characteristics but some concerning elements. Positive aspects include detailed descriptions of product usage, specific model mentions (Samsung A52), and varied language usage (German, English, Spanish, Swedish, Italian). However, concerns include: extremely high 5-star rating concentration (9 out of 11 reviews are 5-star, 82%), several overly enthusiastic reviews with marketing-style language, one extremely brief review ('👍'), and multiple reviews using similar positive phrasing about 'easy mounting' and 'secure fit'. The reviews lack the balanced perspective typical of genuine feedback, with only 2 reviews showing any critical elements.

Review Statistics

36,812
Total Reviews on Amazon
-0.65
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 (4.85 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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