Revenue Intelligence Analysis

The Problem

Most companies don't know the true causal impact of their spending decisions. How much revenue does an extra dollar of R&D actually generate? Is marketing spend past its point of diminishing returns? Would a 10% increase in the sales team pay for itself?

These questions can't be answered by dashboards or BI tools. They require econometric models that separate correlation from causation and account for the time-delayed effects of spending on revenue. That's exactly what I build.

Example Insights

• "A 10% increase in R&D leads to 6% revenue growth after 2 quarters."
• "Sales expansion is overspending relative to its return — reallocating 15% to marketing would net $2M in incremental revenue."
• "Your pricing change added $4.2M in annual run-rate, but the effect is fading. Here's the forecast."

Revenue Forecasting Model

Econometric model calibrated to your company's financial data with prediction intervals.

Spending Elasticities

Precise estimates of how each dollar of R&D, SG&A, and marketing translates to revenue.

Scenario Analysis

What-if modeling for spending changes, hiring plans, and strategic pivots.

Executive Briefing

Board-ready presentation with actionable insights for leadership.

Proven at Scale

I've built and published revenue intelligence models for hundreds of S&P 500 companies — from $500M mid-caps to $500B mega-caps. These analyses are freely available on this site as a demonstration of the methodology.

Browse Public Analyses →