Amazon Basics Zylinder-Staubsauger, leistungsstark, kompakt und leicht, ohne Beutel, für Hart- und Teppichböden, HEPA-Filter, 700 W, 1,5 l, EU, Schwarz/Blau

Amazon Basics Zylinder-Staubsauger, leistungsstark, kompakt und leicht, ohne Beutel, für Hart- und Teppichböden, HEPA-Filter, 700 W, 1,5 l, EU, Schwarz/Blau

ASIN: B07C3NFCYC
Analysis Date: Sep 27, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.67
Original Rating
4.00
Adjusted Rating

Analysis Summary

The review set shows a mix of authentic and potentially suspicious content. While most reviews appear genuine with detailed usage experiences and balanced feedback, several patterns raise moderate concerns: 1) Multiple reviews with identical or near-identical content (reviews 3 and 13 are duplicates), 2) Review 7 appears to be a placeholder or incomplete review with video player code, 3) Some reviews use generic praise without specific details. However, the majority demonstrate authentic characteristics including specific product features, personal usage timelines, and constructive criticism. The high proportion of 5-star ratings (10 out of 14) is somewhat concerning but not unusual for a budget-friendly product that may genuinely satisfy basic expectations.

Review Statistics

50,306
Total Reviews on Amazon
-0.67
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 (4.67 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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