What percentage of reviews are fake for this product?

28.00% of the analyzed reviews appear to be fake or inauthentic.

What is the authenticity grade for this product?

The product receives a grade of C based on review authenticity analysis.

How many reviews were analyzed?

15 reviews were analyzed for authenticity patterns.

What is the adjusted rating after removing fake reviews?

After removing suspicious reviews, the adjusted rating is 4.00 out of 5 stars.

How does this analysis help consumers?

This analysis helps consumers identify products with manipulated reviews, enabling more informed purchasing decisions based on genuine customer feedback.

Is this product priced fairly on Amazon?

Based on AI price analysis, this product is Unable to compare.

How is this product positioned in the market?

This product is positioned as a Mid-range option in its category.

Dr. Beckmann Power Brush Stain Remover | fights even stubborn new & dried-in stains | 250 ml

Name: Dr. Beckmann Power Brush Stain Remover | fights even stubborn new & dried-in stains | 250 ml
Brand: Amazon
SKU: B004BDOPA8
Availability: InStock
Rating: 4.0 (15 reviews)

ASIN: B004BDOPA8

Analysis Date: Nov 25, 2025 (re-analyzed Nov 25, 2025)

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Review Analysis Results

Authenticity Grade

28.00%

Fake Reviews

4.60

Original Rating

4.00

Adjusted Rating

Analysis Summary

The reviews show a moderately suspicious pattern with several legitimate-looking reviews mixed with some concerning elements. The product has an extremely high 5-star concentration (12 out of 15 reviews are 5-star, 80%), which is unusually positive even for effective products. However, many reviews contain specific, detailed usage scenarios with different stain types (oil, wine, tomato, greasy food) and fabric applications (shirt collars, carpets, cuffs) that suggest genuine user experiences. The presence of 3-star and 4-star reviews with balanced criticism adds credibility. Concerning patterns include repetitive phrasing about the 'built-in brush' across multiple reviews, some overly enthusiastic language ('Truly Works Wonders!'), and one extremely brief review ('Naaaaaice') that appears low-effort. The duplicate review (R2XBJ2LCWSUI0F) is also suspicious but may be a system error.

Review Statistics

1,872

Total Reviews on Amazon

-0.60

Rating Difference

Price Analysis

Dr. Beckmann Power Brush is a well-rated mid-range stain remover that typically offers good value in the £4-£6 range. Check major UK supermarkets (Tesco, Sainsbury's, etc.) for price comparison as they often stock this product. Wait for Amazon price drops below £4.50 or bundle deals for the best value.

MSRP Assessment

Estimated MSRP: £5.50-£6.50

Source: Market research

Amazon Price: Unable to compare

Market Position

Positioning: Mid-range

Alternatives Range: £3.00-£8.00

Value: Offers strong stain removal performance at a competitive price point compared to similar specialty cleaners.

Buying Tips

Best Time to Buy: Spring cleaning season (March-May) often brings promotions on household cleaning products.

Deal Indicators: Price below £4.50, multi-buy discounts, or bundled with other Dr. Beckmann products.

Watch For: Watch for third-party sellers charging significantly above £7.00 or unusually low prices from unverified sellers.

Price analysis generated by AI based on product category and market research. Actual prices may vary. Last analyzed: Dec 1, 2025

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 (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 (4.60 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.