Swirl M 40 EcoPor Staubsaugerbeutel (4 Beutel), reißfeste Staubbeutel für einige Miele & Hoover Staubsauger, 99,9% Filterung von Hausstaub & allergenem Feinstaub

Swirl M 40 EcoPor Staubsaugerbeutel (4 Beutel), reißfeste Staubbeutel für einige Miele & Hoover Staubsauger, 99,9% Filterung von Hausstaub & allergenem Feinstaub

ASIN: B0007880WA
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 review set shows moderate authenticity concerns with several patterns typical of incentivized or biased reviews. While most reviews appear genuine, there's a strong clustering of 5-star ratings (14 out of 16 reviews) with repetitive language focusing on price advantages over retail stores. Multiple reviews specifically mention saving 40-50% compared to retail, creating a marketing-like pattern. The reviews show good geographic diversity (German, English, Italian, Spanish, Turkish, French) which supports authenticity, but the overwhelming positivity and repetitive price-comparison language suggest potential bias. The two 4-star reviews appear more balanced and authentic, mentioning specific drawbacks. Overall, this appears to be a legitimate product with some potentially incentivized or biased reviews mixed in.

Review Statistics

6,249
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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