Naturali Anti Dandruff Shampoo with Sage & Salicylic Acid | No Sulphate No Paraben Shampoo | Calms Itchy Scalp | Exfoliates flaky scalp | Soothes Inflammation | 100 ml
Naturali Anti Dandruff Shampoo with Sage & Salicylic Acid | No Sulphate No Paraben Shampoo | Calms Itchy Scalp | Exfoliates flaky scalp | Soothes Inflammation | 100 ml
Review Analysis Results
Analysis Summary
This review set shows a generally authentic pattern with only minor concerns. The 10 reviews display a healthy rating distribution: 40% 5-star, 30% 4-star, 10% 3-star, and 10% 1-star, which suggests organic feedback rather than artificial boosting. The presence of a 1-star review (R190S90UVZYHFJ) and a 3-star review (R50IAUJ3AJUT2) provides credibility, as fake review campaigns typically avoid negative ratings. All reviews are marked with "U" (unverified purchase), which is somewhat unusual for a complete dataset but doesn't necessarily indicate inauthenticity.
Language patterns show reasonable variation in expression. Review R38L75AL84ZG8X uses the phrase "5★" which is standard, while R3CYU40Q9NT7HQ shows a more nuanced "4★" rating. The reviews lack the repetitive marketing language often seen in fake reviews, though the brevity of most entries (just star ratings without text) makes deeper linguistic analysis impossible. The consistent format suggests these might be extracted from a larger dataset where full review text wasn't captured.
Authenticity indicators are mixed due to limited data. The absence of review text prevents analysis of specificity, emotional tone, or detailed experiences. The timing pattern cannot be assessed without dates. However, the natural rating distribution and inclusion of critical feedback (1-star and 3-star) suggest genuine user experiences rather than coordinated promotion. The uniform "U" designation raises questions about whether these represent verified purchases.
Key concerns include the complete lack of review text and the uniform unverified status, which limits authenticity verification. Positive indicators include the natural rating spread with genuine-seeming negative feedback. Without textual content, it's impossible to detect common fake review patterns like repetitive phrasing, excessive brand mentions, or unnatural enthusiasm. This dataset appears to represent genuine ratings but lacks the textual evidence needed for full confidence assessment.
Key patterns identified in the review analysis include: All reviews marked as unverified purchases, Natural rating distribution including negative feedback, Complete absence of review text content.
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
Naturali positions this shampoo in the mid-range segment with natural ingredients targeting specific scalp concerns. Without the current Amazon price, we recommend comparing it against similar anti-dandruff shampoos like Head & Shoulders Clinical (₹500+) or Himalaya Anti-Dandruff (₹200-₹300). Check if the price aligns with the 4-star rating and sulfate/paraben-free formulation before purchasing.
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 (3.60 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 (4.00 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.