Castillna 14K Gold Plated Gold Bangle Bracelets for Women Christmas Birthday Gifts, Set of 7 Pieces

Castillna 14K Gold Plated Gold Bangle Bracelets for Women Christmas Birthday Gifts, Set of 7 Pieces

ASIN: B06ZZTWWBF
Analysis Date: Oct 17, 2025

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Review Analysis Results

D
Authenticity Grade
42.00%
Fake Reviews
4.27
Original Rating
3.40
Adjusted Rating

Analysis Summary

The review set shows several concerning patterns that suggest a moderate percentage of fake reviews. Analysis reveals: 1) Extreme rating polarization with 11/15 reviews being 5-star (73%) and only 2 negative reviews (both 1-star from the same user ID R2MIIGXOQPJ3ME), creating an unnatural distribution. 2) Multiple reviews contain generic, overly enthusiastic language without specific details ('best bracelets ever', 'so many compliments', 'super recomendable'). 3) Several reviews mention returning products but still give 5-star ratings, which is unusual consumer behavior. 4) The Spanish-language reviews (5 of 15) show similar enthusiastic patterns and may represent coordinated posting. 5) One review explicitly states they haven't tested long-term quality yet still gives 5 stars. However, some reviews contain specific, credible details about fit issues and material observations that appear genuine.

Review Statistics

1,232
Total Reviews on Amazon
-0.87
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade D mean?

This product has significant review authenticity issues. Many reviews show patterns consistent with fake or incentivized reviews. Exercise caution.

Adjusted Rating Explained

The adjusted rating (3.40 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 (4.27 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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