The Amazon A9 algorithm is the proprietary search ranking system that determines the order in which products appear in search results on Amazon.com. Its singular purpose is to maximize customer satisfaction and revenue for Amazon by showcasing the products most likely to be purchased for a given query. It achieves this by evaluating two primary categories of factors: relevance and performance. Relevance is how well a product listing matches the customer’s search query. This is determined by analyzing keywords present in the product title, bullet points, description, backend search terms, and product category. Performance, often more critical, is a measure of a product’s commercial success and includes direct and indirect metrics. Direct metrics include sales velocity (the most powerful factor), conversion rate, and recent sales history. Indirect “customer satisfaction” metrics include click-through rate (CTR) from the search results page, product reviews/ratings, answer quality in Q&A, and return rates. The algorithm is a black box, but its intent is clear: to reward listings that are not only relevant but also compelling and trustworthy enough to generate sales quickly. Therefore, winning on Amazon is less about “gaming” the algorithm and more about optimizing the fundamental drivers of e-commerce success: a great product, a well-optimized listing, competitive pricing, and a strategy to generate positive reviews and sales momentum.
Return on Ad Spend (ROAS)
A metric that measures the revenue earned for every dollar spent on advertising. (Revenue from Ad Campaign / Cost of Ad Campaign).
