Amazon Virtual Assistant | Book Flipper Online Arbitrage | Product Researcher

In my product research process, I use Keepa to analyze the product’s performance and ensure it is profitable and low risk. First, I check the price history to see if the product price is stable. I avoid items with sudden price drops because it can affect profitability. Next, I analyze the sales rank (BSR). If the BSR is consistently low, it means the product has good demand and is selling regularly. I also review the offer count and competition. If there are too many sellers, especially Amazon, it can be difficult to win the Buy Box. Then, I look at the Buy Box history to check if it rotates or if one seller dominates. This helps me understand my chances of getting sales. Lastly, I check the variation trends and seasonal patterns to avoid products that only sell during certain times of the year. Using Keepa helps me make data-driven decisions and ensures that I choose products with consistent demand, stable pricing, and manageable competition.

I have experience using SellerAmp SAS for product research in online arbitrage. I use it to quickly check if a product is profitable by looking at ROI, profit, and fees. I also check the Buy Box price and number of sellers to understand the competition. I make sure the product is not restricted and has no IP issues. I also check if Amazon is on the listing because it can affect sales. Then I use Keepa to confirm the data, like price history and sales trend, to make sure the product has consistent demand.