Two decades of independent data science practice, focused on one thing: understanding what drives marketing and sales performance, and building the models and algorithms that put that understanding to work.
We identify the causal relationships between your marketing and sales activity and the outcomes that matter — revenue, pipeline, retention.
We translate model outputs into concrete recommendations — where to invest, what to cut, and how to prioritize across channels and segments.
We design and implement the scoring models, decision engines, and operational frameworks that make better decisions repeatable at scale.