Cat Recovery Collar, Soft Adjustable Cone for Cats and Kittens, Lightweight Waterproof Elizabethan Collar for After-Surgery Care, Prevent Licking and Scratching, Neck Protector for Pets(Light Blue,M)

Cat Recovery Collar, Soft Adjustable Cone for Cats and Kittens, Lightweight Waterproof Elizabethan Collar for After-Surgery Care, Prevent Licking and Scratching, Neck Protector for Pets(Light Blue,M)

ASIN: B0DNCP9DSF
Analysis Date: Sep 18, 2025 (re-analyzed Sep 18, 2025)

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Review Analysis Results

B
Authenticity Grade
18.00%
Fake Reviews
4.56
Original Rating
4.10
Adjusted Rating

Analysis Summary

The reviews show generally authentic characteristics with a low fake percentage. Most reviews contain specific, detailed experiences with the product including personal anecdotes about their pets' medical conditions, recovery processes, and comparisons to traditional plastic cones. The rating distribution is realistic with a mix of 5-star (majority), 4-star, 3-star, and 1-star reviews. The presence of critical reviews (1-star and 3-star) discussing fit issues and limitations adds credibility. However, some reviews show minor patterns of repetitive phrasing and a few contain unusually brief or generic content that slightly raises suspicion.

Review Statistics

64
Total Reviews on Amazon
-0.46
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade B mean?

This product has good review authenticity with minor concerns. While most reviews appear genuine, we detected some patterns that warrant mild caution.

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 (4.56 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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