

Results
Delivered a data-driven product research report highlighting products capable of achieving $10K+ in monthly revenue.
Identified categories where new sellers with under 200 reviews were already gaining traction, validating opportunity accessibility.
Provided actionable insights for Amazon private label launches, covering demand forecasting, competitive mapping, and revenue potential.
Enabled clients to make informed product launch decisions, reducing trial-and-error costs and improving speed to market.


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Project Description
The objective of this project was to conduct a comprehensive product hunt and market analysis to identify a scalable opportunity on Amazon. The focus was on evaluating products where over 20% of new sellers had fewer than 200 reviews, yet demonstrated the potential to generate at least $10,000 in monthly revenue.
Challenge
Differentiating high-potential products from saturated niches with low entry barriers.
Accurately forecasting sales potential while accounting for competition and seasonal fluctuations.
Balancing the need for a realistic entry point (low review threshold) with profitability and scalability.
Strategy & Execution
I utilized advanced product research methodologies and analytical tools to shortlist viable product categories. Each candidate product was assessed for demand trends, competitive intensity, and long-term growth potential. Special focus was placed on profitability margins, keyword opportunities, and compliance feasibility. This deep-dive report provided a clear roadmap for brand owners seeking to launch private label products with reduced risk and higher revenue confidence.
Skills & Deliverables
Amazon Product Research
Market Analysis & Product Concept Development
Amazon Private Label Strategy
Data-Driven Revenue Forecasting
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