Applaws 100% Natural Comida Húmeda para Gatos Adultos en Caldo - Selección Mixta de Atún, Pollo y Pescado del Océano en Caldo - Paquete de 12 latas de 70g

Applaws 100% Natural Comida Húmeda para Gatos Adultos en Caldo - Selección Mixta de Atún, Pollo y Pescado del Océano en Caldo - Paquete de 12 latas de 70g

ASIN: B017NJ2CMO
Analysis Date: Sep 29, 2025 (re-analyzed Sep 29, 2025)

Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.93
Original Rating
4.20
Adjusted Rating

Analysis Summary

The review set shows moderate authenticity concerns with several suspicious patterns. While many reviews appear genuine with specific product details and balanced feedback, there are notable red flags: multiple duplicate reviews from the same users (RFJPODULBYJCI and R2X5YNBFXJDCHI appear twice with identical content), some overly enthusiastic 5-star reviews with generic marketing language, and one review in Arabic that seems out of place for a product likely targeting Spanish/European markets. However, the majority of reviews contain authentic details like specific ingredient observations, feeding experiences with cats, price comments, and mixed feedback that suggests real usage. The verification badge (V) appears on most reviews, but the duplicates undermine credibility.

Review Statistics

10,866
Total Reviews on Amazon
-0.73
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 (4.20 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 (4.93 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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