A framework naming the five most common causes of Amazon FBA product failure: (1) low demand or fake social-media trends, (2) unrealistic competition, (3) wrong keywords / weak SEO, (4) saturated product types, and (5) unchecked profit red flags. Diagnosing a product idea means checking it against each of these five failure modes before committing to sourcing or launch, rather than relying on hype or intuition — "inside Amazon guessing is gambling."
Each failure mode maps to a specific diagnostic: demand via the Data Dive Demand Scorecard and Keyword Ecosystem Validation, competition via Data Dive Competition Indicators, keywords via Master Keyword List & Listing Scorecard, saturation via Amazon Niche Saturation Diagnosis, and profit via Amazon Profit Red Flags. Clearing all five at once is what defines a Safe Niche Threshold Checklist.
TikTok/social virality is a trap, not a demand signal, under the 'low demand/fake trends' failure reason: a cloudy humidifier lamp and a magnetic LED galaxy light both had large social followings but were exposed by Data Dive as having low real Amazon demand, high return rates, or patent/compliance risk.
"Amazon doesn't reward guessers. It rewards data-driven sellers."
Из тем: Product Research & Validation