We help early-stage SaaS founders and revenue leaders identify where revenue is leaking, understand what drives performance, and turn data into defensible decisions by leveraging analytical models instead of intuition alone.
Every SaaS team can tell you what their metrics say, they've got enough dashboards for that. But almost none can tell you, with any rigor, what to do about it. That's the difference between descriptive and prescriptive analytics, and it's the gap most revenue reporting never closes. Instead of another dashboard, we build the revenue intelligence layer that turns your numbers into a ranked, defensible decision.
Four phases. Clear deliverables in each. You always know what we're doing, why, and what comes next.
We start with a structured diagnostic of your revenue engine — pipeline data, funnel conversion, channel economics, and customer lifecycle motion. No assumptions, just measurement.
We model your actuals using probabilistic and stochastic methods — Monte Carlo for forecast variance, Markov chains for lifecycle states, DEA for efficiency benchmarking. You see where the signal is and where the noise lives.
We design the measurement system, dashboards, and decision frameworks your team will actually use. Built around your stack, your cadence, and the decisions your leadership team has to make every week.
We implement, train your team, and hand over a system that runs without us. Documentation, code, and operating models — so the work compounds after the engagement ends.
Practical, methodology-backed resources for revenue leaders who want to do this work themselves. All free.
Recent thinking on probabilistic forecasting, revenue intelligence, and the math behind better decisions.
Book a 30-minute diagnostic. We'll look at your pipeline data, identify where your forecast variance is hiding, and show you what a probabilistic model would change about your weekly revenue conversation.