Filters for Shark Navigator Lift Away Deluxe Upright Vacuum Replacement UV540 UV440 NV360 NV350 NV351 NV352 NV355 NV356 NV357 NV370 NV391 UV490 UV500 UV541 ZU503AMZ, Compare to Part XFF350, XHF350

Filters for Shark Navigator Lift Away Deluxe Upright Vacuum Replacement UV540 UV440 NV360 NV350 NV351 NV352 NV355 NV356 NV357 NV370 NV391 UV490 UV500 UV541 ZU503AMZ, Compare to Part XFF350, XHF350

ASIN: B0CBWWGP7Y
Analysis Date: Nov 3, 2025

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Review Analysis Results

D
Authenticity Grade
42.00%
Fake Reviews
5.00
Original Rating
4.00
Adjusted Rating

Analysis Summary

The review set shows moderate signs of inauthenticity with several concerning patterns. All 6 reviews are 5-star verified purchases with extremely short, generic content focused on basic functionality ('perfect fit', 'worked great'). The language is repetitive and lacks specific details about product performance, durability, or unique features. Multiple reviews use identical phrasing ('perfect fit') and none mention any negatives or balanced perspectives, which is unusual for genuine reviews. The high verification rate (100%) combined with the formulaic, low-effort content suggests potential review manipulation, though the consistent focus on vacuum filter functionality provides some product relevance.

Review Statistics

279
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 (4.00 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 (5.00 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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