Amazon Product Researcher / Online Arbitrage

As an Amazon Product Researcher, I evaluated products to identify profitable selling opportunities on Amazon by analyzing key metrics such as Best Sellers Rank (BSR), estimated sales, competition, selling price, ROI, and profit potential to ensure each product met the client's sourcing criteria. I verified product matches, reviewed listing details, and checked seller eligibility before recommending products. By comparing product data and evaluating profitability, I helped identify products with strong resale potential while maintaining accuracy, attention to detail, and consistency throughout the research process.

As an Online Arbitrage Specialist, I sourced products from various online retailers and matched them with Amazon listings to identify potential resale opportunities. I evaluated each item based on profitability factors such as ROI, estimated profit, BSR, sales performance, competition, and pricing. I also confirmed product details, checked seller eligibility, and filtered out listings with potential risks such as IP issues, private label dominance, or suppressed Buy Boxes. This role helped me develop strong sourcing judgment and consistency in identifying viable products in a fast-moving e-commerce environment.

I use Seller Amp as part of my Amazon product research process to evaluate product opportunities using data-driven metrics. I analyze estimated sales, ROI, BSR, profit margins, number of sellers, and overall competition to assess product viability and market potential. By comparing these data points across different listings, I can understand demand levels and evaluate how competitive a product is before moving forward with further research and decision-making. This approach helps me make more informed and structured decisions when identifying and evaluating potential product opportunities on Amazon.

I have experience using Keepa for basic Amazon product research to assess product stability. My responsibilities include reviewing price history trends, analyzing price movements over time, and identifying whether a product demonstrates stable or fluctuating pricing. I also examine simple data patterns to better understand demand consistency and support effective product comparisons. I use these insights to assist in shortlisting products with more stable and reliable conditions. Overall, I am continuously developing my skills and learning how to use Keepa more effectively to support accurate and data-driven product research decisions.