Steven’s Marketing Propensity & Revenue Attribution Modeling framework helps companies understand who is most likely to convert, which marketing actions actually drive revenue, and where to invest for maximum impact. By unifying marketing, product, and sales data, Steven uses machine learning to predict conversion likelihood, quantify channel effectiveness, and measure campaign incrementality. The result is a clear, data-driven view of what moves the needle—enabling precise targeting, smarter budget allocation, and consistently higher ROI across the entire marketing funnel.