28L Kühlrucksack Thermo Rucksack Picknickrucksack Kühltasche Groß Isoliert Cooler Bag Männer Frauen für Picknick/BBQs/Camping/Ausflügen/Einkaufen (A. Grau)

28L Kühlrucksack Thermo Rucksack Picknickrucksack Kühltasche Groß Isoliert Cooler Bag Männer Frauen für Picknick/BBQs/Camping/Ausflügen/Einkaufen (A. Grau)

ASIN: B0CFDNM1PH
Analysis Date: Nov 7, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.73
Original Rating
4.10
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive indicators include: 1) Natural language variation across reviews, 2) Presence of critical feedback (one 2-star review with specific complaints), 3) Multiple languages (German, English, Italian, French, Spanish) suggesting diverse user base, and 4) Some detailed usage scenarios. However, concerning patterns include: 1) Extremely high 5-star concentration (14/16 reviews = 87.5%), 2) Multiple very brief, generic positive reviews that lack substance, 3) Several reviews using nearly identical phrasing about cooling performance, and 4) Unverified reviews showing similar enthusiastic patterns as verified ones. The moderate fake percentage reflects that while many reviews appear genuine, there's likely some artificial inflation of positive ratings.

Review Statistics

1,156
Total Reviews on Amazon
-0.63
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 (4.73 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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