TEKCOOL Microfiber Feather Bendable & Extendable Fan Cleaning Duster with 100 inches Expandable Pole Handle Washable for High Ceiling Fans, Window Blinds, Furniture (4 in 1 Duster)

TEKCOOL Microfiber Feather Bendable & Extendable Fan Cleaning Duster with 100 inches Expandable Pole Handle Washable for High Ceiling Fans, Window Blinds, Furniture (4 in 1 Duster)

ASIN: B0F87QCR5S
Analysis Date: Oct 9, 2025 (re-analyzed Oct 9, 2025)

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 some reviews appear genuine with specific details about product features (extendable pole, microfiber head, cleaning applications), there are multiple red flags: 1) Extremely high 5-star concentration (13/15 reviews are 5-star, 2 are 4-star) with minimal critical feedback, 2) Several reviews use generic, repetitive language with minimal substance ('Good product', 'Nice product', 'good quality'), 3) Multiple reviews contain grammatical errors and awkward phrasing suggesting non-native English or template use, 4) One review mixes Hindi and English in a way that appears authentic but stands out from the pattern. The verification badge (V) presence across all reviews is positive, but the content patterns suggest some organized review activity.

Review Statistics

700
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.

Share This Analysis

Learn More About Fake Reviews

Analyze new product