MOUNT PRO Monitor Wall Mount for 13 to 32 inch Computer Screen, Extra Long Adjustable Single Wall Mount Monitor Arm, Full Motion Vesa Wall Bracket 100x100, Hold up to 17.6lbs, Black

MOUNT PRO Monitor Wall Mount for 13 to 32 inch Computer Screen, Extra Long Adjustable Single Wall Mount Monitor Arm, Full Motion Vesa Wall Bracket 100x100, Hold up to 17.6lbs, Black

ASIN: B0F13QDPJW
Analysis Date: Oct 23, 2025

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Review Analysis Results

B
Authenticity Grade
18.00%
Fake Reviews
4.20
Original Rating
3.80
Adjusted Rating

Analysis Summary

The review set shows mostly authentic characteristics with some minor concerns. Positive indicators include: natural language variation across reviews, specific technical details about monitor sizes and weights, mixed ratings (including 1-star reviews), and detailed installation experiences. Concerns include: some repetitive phrasing in positive reviews, a few overly generic 5-star reviews, and one duplicate review (R1Q6D6YII37E0Y appears twice with identical text). The presence of verified purchases (V) and unverified (U) reviews in a balanced mix, along with critical feedback about weight capacity issues and installation difficulties, suggests organic customer experiences. The duplicate review is the most significant red flag but appears to be an isolated issue rather than systematic manipulation.

Review Statistics

120
Total Reviews on Amazon
-0.40
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 (3.80 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 (4.20 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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