Zivacate Brosse Chat Brosse Chien[Prise ergonomique & nettoyage en un clic & Patented Design] Outil pour chiens/chats/lapins à poil court et long, Chien Accessoires(gris)

Zivacate Brosse Chat Brosse Chien[Prise ergonomique & nettoyage en un clic & Patented Design] Outil pour chiens/chats/lapins à poil court et long, Chien Accessoires(gris)

ASIN: B0CHR8Q8ZS
Analysis Date: Oct 6, 2025 (re-analyzed Oct 6, 2025)

Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.80
Original Rating
4.10
Adjusted Rating

Analysis Summary

The reviews show a mixed pattern with some legitimate characteristics but also several concerning elements. Positive aspects include: natural variation in ratings (5★ dominant but with 4★ and 3★ present), detailed descriptions of product features, and some negative feedback about size limitations. Concerning patterns include: extremely high 5★ concentration (13/15 reviews), repetitive phrasing about the push-button hair removal system across multiple reviews, and some reviews with overly enthusiastic language that reads like marketing copy. The duplicate review (R1XN8KL9HBZUQW appearing twice) is particularly suspicious. However, the presence of verified purchases (V) and some critical feedback prevents a higher fake percentage assessment.

Review Statistics

4,406
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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