Uvital Telephone Phone Handset Cable Cord, Coiled Length 1.2 to 10 Feet Uncoiled Landline Phone Handset Cable Cord RJ9/RJ10/RJ22 4P4C(Black,2 PCS)

Uvital Telephone Phone Handset Cable Cord, Coiled Length 1.2 to 10 Feet Uncoiled Landline Phone Handset Cable Cord RJ9/RJ10/RJ22 4P4C(Black,2 PCS)

ASIN: B076J83H83
Analysis Date: Oct 2, 2025 (re-analyzed Oct 2, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.13
Original Rating
3.60
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive indicators include: natural variation in ratings (1-5 stars), detailed technical descriptions of phone cord issues, and realistic product-specific complaints. However, concerning patterns include: multiple reviews with nearly identical phrasing about 'tangled cords' and 'problem solved,' several reviews with unusually enthusiastic language for a mundane office product, and some reviews that feel overly promotional. The verification badge distribution appears normal, and the mix of positive/negative reviews suggests organic feedback. The moderate fake percentage reflects that while most reviews appear genuine, there's likely some artificial boosting through overly enthusiastic 5-star reviews.

Review Statistics

7,477
Total Reviews on Amazon
-0.53
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 (3.60 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 (4.13 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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