Data-Driven Decision Making on Amazon: A Methodology for Assessing Product Potential and Competition

Amazon Marketplace, especially for small and medium -sized enterprises, transforms the ascending move with a selection focused on facts. Although huge research emphasizes the standards for choosing products and market access, the unique and complex technique for evaluating the potential of the product and the opposition remains suspicious. This will look at the bridges of this key hole through the offer of integrative methodology controlled records rooted in assessing the relevance of keywords, assessing the area of interest length and evaluation of competition intensity, explicitly tailored to Amazon sellers. Using a mixed technology method, the frame systematically combines quantitative data from analytical structures (business words, helium 10 and Keepa) and qualitative techniques of market studio. The results show that the accurate evaluation of the relevance of keywords significantly affects the area of visibility and careful estimation of the size of the market effectively alleviates the risks of its own excessively aggressive or decreasing niches. Methodology - Studies accept sophisticated framework of mixed technologies combining evaluation of quantitative records and qualitative reviews, reflecting the top dynamics of Amazon Marketplace. The preliminary phase uses the analysis of the frequency of keywords and a metric of keywords from business words to measure the area of interest as it should be. After the comprehensive evaluation of monetary viability, the integration of margin evaluation and the prognosis of breaking is guaranteed by monetary feasibility. The evaluation of the competition achieved through Keep, identifies the techniques of ancient prices and the longevity of the competition and determines the niches with the sustainable market dynamics. In addition, the Helium 10 is used to monitor the price growth prices and the recognition of unnatural spikes indicating unethical competition. Findings - The implemented technique correctly identifies niches characterized by a strong challenge for, mild competition and favorable financial metrics. The analysis shows that niches with the assessment of keyword relevance in the range of 30% to 60% bring the most effective stability and increase the visibility of the list and the ability to convert. Evaluation of financial viability, fundamentally specializing in margins and stock turnover, further specify the selection, except for goods with thin edges and supersaturation. In particular, observing the symptoms of unethical competition, along with an unnatural accumulation overview and competing monopolization strategies, in particular reduced market access errors. Conclusion - This will look at the introduction of the robust method of custom -made records for the contributors of Amazon Marketplace, which effectively solves key gaps in product evaluation and competitive evaluation. A systematic combination of a critic of quantitative relevance of keywords, thorough market sizing strategies and a unique evaluation of competition gives you strategic clarity and surgical predictability. The following studies are proposed to include advanced predictive analytical equipment, which improves the accuracy and scalability of the selection.