PUPGSIS Gaming Audio Mixer, Audio Interface for PC/Podcast/Streaming, Sound Board with 3.5mm/XLR Mic Input, 48V Phantom Power, Voice Changer, Live Sound Card with DJ Mixer Effects/Bluetooth/4 Channel

PUPGSIS Gaming Audio Mixer, Audio Interface for PC/Podcast/Streaming, Sound Board with 3.5mm/XLR Mic Input, 48V Phantom Power, Voice Changer, Live Sound Card with DJ Mixer Effects/Bluetooth/4 Channel

ASIN: B0DLK14FTY
Analysis Date: Oct 30, 2025

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Review Analysis Results

D
Authenticity Grade
42.00%
Fake Reviews
4.80
Original Rating
3.80
Adjusted Rating

Analysis Summary

The review set shows moderate signs of inauthenticity with several concerning patterns. While there are legitimate-sounding reviews with specific technical details and minor criticisms, there are multiple duplicate reviews (R2X6M2ZS54T2SR and R163C4JDM7QHDT appear twice with identical content), excessive use of brand name 'PUPGSIS' in unnatural ways, and several overly enthusiastic 5-star reviews that lack substantive detail. The rating distribution is heavily skewed toward 5-stars (12 out of 15 reviews) with only two 4-star reviews, which is unusual for a technical product where users typically report some issues. Several reviews use identical phrasing about 'making a big difference' and similar hyperbolic language. However, the presence of reviews mentioning specific technical issues (phantom power problems, humming noise, missing cables) and the variety of use cases described provides some balance.

Review Statistics

235
Total Reviews on Amazon
-1.00
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 (3.80 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 (4.80 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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