West Chester UMB340/OS Tri-Fold Umbrella - Black, 40 in., Pongee, Automatic Opening Umbrella with Fiberglass Ribs, Metal Shaft, Gray Trim

West Chester UMB340/OS Tri-Fold Umbrella - Black, 40 in., Pongee, Automatic Opening Umbrella with Fiberglass Ribs, Metal Shaft, Gray Trim

ASIN: B08GG86VTZ
Analysis Date: Oct 10, 2025 (re-analyzed Oct 10, 2025)

As an Amazon Associate I earn from qualifying purchases.

Review Analysis Results

B
Authenticity Grade
18.00%
Fake Reviews
4.80
Original Rating
4.40
Adjusted Rating

Analysis Summary

The review set shows a moderately low fake percentage (18%) based on balanced analysis. While there are some minor suspicious patterns, most reviews appear legitimate. Key findings: All 5 reviews are verified purchases, which significantly reduces suspicion. The rating distribution (4 five-star, 1 four-star) is reasonable for a product with generally positive reception. Review texts show natural variation in length and content, with specific product mentions (fabric texture, umbrella surface size, wind limitations) that suggest genuine usage. However, the first review follows a common template pattern and two reviews are extremely brief, raising minor concerns about authenticity. Overall, this appears to be a legitimate review set with some minor template usage.

Review Statistics

36
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 (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 (4.80 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.

Share This Analysis

Learn More About Fake Reviews

Analyze new product