I work at the intersection of marketing analytics and data science, helping teams understand what actually drives growth.
I focus on marketing mix modeling, attribution, experimentation, and forecasting, turning messy data into clear decisions around budget, strategy, and scale.
Actionable essays on marketing mix modeling, incrementality, attribution, and analytics systems for DTC teams, designed to help brands diagnose measurement gaps, allocate budget with confidence, and improve growth decisions.
Decision tools built for DTC teams to diagnose measurement gaps, benchmark maturity, and prioritize what to fix first across tracking, attribution, experimentation, forecasting, and infrastructure.