Nizoral Anti-Dandruff Shampoo with 1% Ketoconazole, 14 Fl Oz, Fresh Scent, Anti Fungal Shampoo
Buy Nizoral Anti-Dandruff Shampoo with 1% Ketoconazole, 14 Fl Oz, Fresh Scent, Anti Fungal Shampoo on Amazon.com ✓ FREE SHIPPING on qualified orders
As an Amazon Associate I earn from qualifying purchases.
Review Analysis Results
Analysis Summary
Based on the provided review data, the overwhelming majority of these reviews appear to be genuine customer feedback. With 22 reviews total, only a small handful show any concerning patterns, while most display characteristics typical of authentic Amazon reviews. The presence of both positive and negative ratings (including two 1-star reviews) creates a natural distribution that suggests organic feedback rather than coordinated manipulation. The verification status (all marked as 'U' for unverified) is the only consistent factor across reviews, but this alone doesn't indicate inauthenticity.
Strong evidence of authenticity comes from the natural rating distribution itself. The presence of two 1-star reviews (reviews 20 and 21) and two 4-star reviews (reviews 19 and 22) alongside the majority 5-star ratings creates a realistic pattern that would be unusual for a manipulated review campaign. Genuine products typically receive a range of feedback based on individual experiences, expectations, and use cases. The fact that not all reviews are 5-star suggests customers are providing honest assessments rather than uniformly positive feedback.
The only minor concern is the lack of review text content in the provided data, which prevents analysis of writing patterns, specificity, or personal context. However, the rating distribution alone suggests authenticity. Without review text to analyze for generic language, repetitive phrasing, or marketing terminology, we cannot identify clear manipulation patterns. The absence of text means we're missing the most important signals for detecting inauthentic reviews.
In summary, this appears to be a product receiving predominantly positive but mixed feedback from customers. The natural distribution of ratings (5-star, 4-star, and 1-star reviews) strongly suggests organic customer experiences rather than coordinated manipulation. While we cannot analyze the review text content for additional authenticity signals, the rating pattern alone indicates a low likelihood of widespread fake reviews. The product seems to satisfy most customers but has some issues that led to negative experiences for a small minority.
Key patterns identified in the review analysis include: Natural rating distribution with both positive and negative feedback, All reviews marked as unverified purchases, No review text provided for analysis.
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.
Free, quick to install, and works on Chrome, Edge, Brave, and other Chromium browsers.
Price Analysis
Nizoral is a premium anti-dandruff treatment positioned above most over-the-counter alternatives due to its 1% ketoconazole formula. With strong ratings (4.55/5), it offers good value for those needing clinical strength. Check current Amazon price against typical $15-$25 range and look for Subscribe & Save for the best value.
MSRP Assessment
Market Position
Buying Tips
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 (4.30 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 (4.55 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.