The Derma Co 1% Kojic Acid Daily Brightening Body Wash|With Alpha Arbutin|Reduces Dark Spots,Pigmentation & Blemishes|Up to 24 Hour Hydration|Cleanses & Brightens Skin|For All Skin Types|250 ml
Review Analysis Results
Analysis Summary
This product shows moderate signs of review manipulation with approximately 38% of reviews appearing suspicious. The rating distribution is polarized with 8 five-star reviews (53%), 3 four-star reviews (20%), 2 three-star reviews (13%), and 2 two-star reviews (13%), creating a U-shaped pattern that often indicates review manipulation. The verified purchase rate is 100% (all reviews marked 'V'), which is unusually high for Amazon products and could indicate coordinated review campaigns. The reviews cluster around extreme positions: either enthusiastic five-star claims of dramatic results or critical reviews noting minimal effectiveness.
Several reviews exhibit suspicious language patterns, including the repetitive claim that "kojic acid remove all body tan" (R3AKL2CL3OWT3X) which appears verbatim in two separate reviews, suggesting copy-paste content. Another pattern includes overly simplistic five-star reviews like "It works buddy" (R2SGW64F1TD8WD) and "Good 👍" (RZDKCPWYEMKO1) that lack substantive detail. The duplicate review (R1SFCLDUYCT8UO appears twice with identical text) further raises authenticity concerns about review duplication or manipulation.
Authenticity indicators show mixed signals: some reviews demonstrate genuine user experiences with specific details about skin reactions, hydration issues, and realistic timelines ("Reviewing after usage of 2 bottles" - R2XEWV5LWYFOWK). However, the emotional tone in suspicious reviews tends toward exaggerated enthusiasm ("Amazing product, it really works.." - RSZO44ICGCFWM) without addressing common user concerns mentioned in authentic reviews. The timing pattern cannot be assessed from this dataset, but the content clustering suggests possible batch posting.
Key concerns include the duplicate review, repetitive marketing language about tan removal, and the polarized rating distribution. Positive indicators include the presence of critical reviews with specific complaints about effectiveness and hydration, which suggests some authentic feedback. The product appears to have genuine users experiencing mixed results, but the review pool has likely been supplemented with incentivized or fabricated reviews to boost ratings, particularly around the tan removal claims that many authentic users dispute.
Key patterns identified in the review analysis include: repetitive 'remove all body tan' claims, brief generic 5-star reviews lacking detail, duplicate review 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.
Free, quick to install, and works on Chrome, Edge, Brave, and other Chromium browsers.
Price Analysis
The Derma Co positions this as a mid-range, ingredient-focused body wash. Without the current Amazon price, check if it's listed near ₹499 (typical brand MSRP) or discounted. Look for sales events for the best value, as this category frequently sees 20-40% promotions.
MSRP Assessment
Market Position
Buying Tips
Understanding This Analysis
What does Grade C mean?
This product has moderate review authenticity concerns. A notable portion of reviews show suspicious patterns. Consider reading reviews carefully before purchasing.
Adjusted Rating Explained
The adjusted rating (3.30 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 (4.07 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.