CCCEI Furniture Recessed Power Strip, Black Desk Outlet with USB Ports, in Conference Desktop Flush Mount Plug, 6 ft Extension Cord.

CCCEI Furniture Recessed Power Strip, Black Desk Outlet with USB Ports, in Conference Desktop Flush Mount Plug, 6 ft Extension Cord.

ASIN: B07QLPC14H
Analysis Date: Nov 8, 2025 (re-analyzed Nov 8, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.87
Original Rating
4.20
Adjusted Rating

Analysis Summary

The reviews show a moderately suspicious pattern with several concerning elements, but also contain legitimate characteristics. Key findings: 1) Extremely high 5-star concentration (13/15 reviews = 87%) with minimal critical feedback, 2) Multiple reviews with identical or near-identical content (RD5NNZXRKL7JO and ROL0LHMS7YOM4 appear duplicated), 3) Several reviews use overly enthusiastic marketing-style language that reads like product descriptions rather than genuine user experiences. However, the reviews also show reasonable variation in use cases (headboards, desks, couches), specific installation details, and some authentic-sounding minor complaints. The presence of non-English reviews (Spanish and French) adds credibility, and the 4-star reviews mention specific drawbacks like missing templates and slow charging concerns.

Review Statistics

2,176
Total Reviews on Amazon
-0.67
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 (4.87 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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