DermAllay Oatmeal Shampoo, 12 Ounce
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Review Analysis Results
Analysis Summary
The reviews show a generally authentic pattern with mostly detailed, specific experiences from pet owners. The product has overwhelmingly positive sentiment (12/15 reviews are 4-5 stars) which is typical for well-regarded pet care products. Most reviews contain specific details about dog breeds, skin conditions, vet recommendations, and practical usage experiences. However, there are some minor concerns: one user (R169QZCG13C6R4) appears twice with identical reviews, and several reviews use very similar phrasing about 'soft and shiny' coats. The negative reviews (1-3 stars) appear genuine with specific complaints about ingredients and delivery issues, which adds credibility to the overall review set. The high concentration of 5-star reviews (10/15) is somewhat elevated but plausible for a veterinary-recommended product.
Review Statistics
About Review Data Collection
We extract as much review data as Amazon makes available at the time of analysis. The amount may vary due to Amazon's rate limiting, regional restrictions, or other factors. Our analysis is based on the reviews we successfully collected.
Want to analyze more reviews? Install the Null Fake Chrome extension to capture and analyze additional reviews as you browse Amazon.
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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 (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 (4.20 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.
