From $50K to $500K/Month: Colin Raja's 350-Point Amazon Optimization Blueprint

Colin Raja is a seasoned Amazon Growth Consultant at The Launch Lab, where he helps brands scale their e-commerce businesses. A product launch expert and entrepreneur, Colin has successfully built multiple seven-figure brands on Amazon. With a background in data analysis and software development, he leverages backend SEO strategies to optimize product rankings and maximize sales. Colin is also the host of The Launch Lab Podcast, where he shares data-driven strategies, revealing his secrets to explosive product growth. In this episode… Many Amazon sellers struggle to convert paid traffic into lasting rankings, often spending thousands on PPC without seeing a return. They face backend listing errors, missed keyword opportunities, and lack a clear diagnostic process to understand why their products stall. How can sellers fix these hidden problems and create listings that consistently climb Amazon's search results? Colin Raja, an Amazon SEO expert and product launch strategist, shares his proven framework for uncovering and correcting the root causes of poor sales performance. Colin explains the importance of backend optimization — including alignment of product type, item type, and refinements — as foundational to ranking success. He emphasizes using a 350-point monitoring system to catch small listing issues before they cause major revenue loss, and offers specific insights on the difference between browse and purchase keywords. Colin also outlines proven digital for various stages of launch, from product validation to ongoing PPC maintenance. In this episode of The Launch Lab, Dr. Jeremy Weisz of Rise25 interviews Colin Raja, Amazon Growth Consultant at The Launch Lab, about scaling brands with backend optimization. Colin explains how a water bottle brand grew from $50K to $500K/month, and shares insights on backend diagnostics, ranking strategies, and PPC missteps. He also delves into keyword intent, tool stacks, and the importance of data over emotion.