ExcelMark Self-Inking Rubber Stamp - Return to Sender Not at This Address - Red Ink (Large)

ExcelMark Self-Inking Rubber Stamp - Return to Sender Not at This Address - Red Ink (Large)

ASIN: B07D4P5PQG
Analysis Date: Oct 24, 2025

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Review Analysis Results

B
Authenticity Grade
18.00%
Fake Reviews
4.87
Original Rating
4.40
Adjusted Rating

Analysis Summary

The reviews show a moderately low fake percentage (18%) with most reviews appearing genuine. Key findings: 1) All reviews are verified purchases (V), which significantly reduces suspicion. 2) Rating distribution is heavily skewed toward 5-star (13/15 reviews), but this is common for functional products that work as advertised. 3) Review content shows reasonable variation in writing styles, specific use cases, and personal experiences. 4) Several reviews mention legitimate scenarios (military families moving frequently, apartment living, previous tenant mail) that align with the product's purpose. 5) The few 4-star reviews provide balanced feedback about ink fading and country of origin expectations. The slight elevation from excellent (0-15) to good (16-30) range is due to the high concentration of 5-star reviews and some repetitive phrasing patterns.

Review Statistics

3,861
Total Reviews on Amazon
-0.47
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 (4.40 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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