Tinte 104 Multipack kompatibel für Epson 104 Tinte ET-2820 ET-4800 ET-2870 ET-2810 ET-2862 ET-2826 ET-2856 ET-4810 ET-2811 ET-2812 ET-2814 ET-2815 ET-2821 ET-2710 ET-2711 Drucker(2Schwarz, C, M, Gelb)

Tinte 104 Multipack kompatibel für Epson 104 Tinte ET-2820 ET-4800 ET-2870 ET-2810 ET-2862 ET-2826 ET-2856 ET-4810 ET-2811 ET-2812 ET-2814 ET-2815 ET-2821 ET-2710 ET-2711 Drucker(2Schwarz, C, M, Gelb)

ASIN: B0D6YJLFFM
Analysis Date: Nov 4, 2025 (re-analyzed Nov 4, 2025)

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Review Analysis Results

C
Authenticity Grade
35.00%
Fake Reviews
4.64
Original Rating
3.80
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive indicators include: natural rating distribution (mostly 5-star but with some 4-star and 1-star reviews), detailed technical descriptions in several reviews, and varied review lengths. However, concerning patterns include: multiple extremely brief 5-star reviews with generic praise ('Funktioniert einwandfrei', 'Das ist Gut'), several reviews that read like marketing copy with excessive enthusiasm and brand promotion, and a high concentration of 5-star ratings (11 out of 13 reviews). The verified purchase ratio is balanced (6 verified, 7 unverified), but some unverified reviews contain suspiciously detailed product promotion language that seems unnatural for genuine user experiences.

Review Statistics

264
Total Reviews on Amazon
-0.84
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

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 (3.80 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 (4.64 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.

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