Canon Pixma MG3620 Wireless All-in-One Color Inkjet Printer with Mobile and Tablet Printing, Black

Canon Pixma MG3620 Wireless All-in-One Color Inkjet Printer with Mobile and Tablet Printing, Black

ASIN: B010A7TZ76
Analysis Date: Oct 7, 2025 (re-analyzed Oct 7, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.07
Original Rating
3.50
Adjusted Rating

Analysis Summary

The review set shows a mixed authenticity profile with some concerning patterns but overall appears to have legitimate user experiences. The 1-5 star rating distribution is reasonably balanced (7 five-star, 3 four-star, 1 three-star, 2 one-star), which is typical for real products. Several reviews demonstrate genuine user experiences with specific technical issues (WiFi connectivity problems, voltage incompatibility, missing USB cables) and detailed usage scenarios that would be difficult to fabricate. However, there are some suspicious elements: multiple reviews use nearly identical phrasing about having 'several of these printers' with the same 'wonderful/terrible' dichotomy, and a few five-star reviews are overly enthusiastic with minimal technical detail. The presence of Spanish language reviews alongside English ones is normal for Amazon. The moderate fake percentage reflects that while most reviews appear authentic, there are likely some incentivized or artificial reviews mixed in.

Review Statistics

28,570
Total Reviews on Amazon
-0.57
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 (3.50 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 (4.07 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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