Antirutschmatte für Teppich, 12 Stück Waschbare und Wiederverwendbare Antirutschunterlage, antirutsch Pads aus hochwertigen Materialien Zur Verhinderung des Verrutschens

ASIN: B0BX9T97LC
Analysis Date: Nov 15, 2025 (re-analyzed Nov 15, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.20
Original Rating
3.60
Adjusted Rating

Analysis Summary

The review set shows a moderately suspicious pattern with several concerning elements balanced against legitimate-looking reviews. Key findings: 1) Extreme rating polarization with 10/15 reviews at 5★ and only two 1★ reviews, creating a typical 'J-curve' pattern often seen in manipulated reviews; 2) Multiple unverified purchases (U) with highly enthusiastic 5★ ratings that read like marketing copy; 3) Several reviews use nearly identical phrasing about 'bombenfest halten' and similar superlatives; 4) However, the presence of detailed negative reviews with specific usage problems and the mix of languages (German/Dutch/English) provides authenticity counterbalance. The 1★ reviews appear genuine with specific complaints about adhesive issues. Overall, while there are clear manipulation indicators, the authentic negative feedback and varied writing styles suggest a mix of genuine and potentially incentivized reviews.

Review Statistics

1,228
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 (3.60 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 (4.20 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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