Growth Strategy
Market opportunity, positioning, expansion, launch architecture and growth priorities grounded in evidence.
Market entry · TAM/SAM/SOM · Competitive intelligence · GTMNew York · Strategy · Data · AI · Marketing
I help brands decide where to grow, what to change and how to use data and AI to make the strategy work in the real world.
Data, analytics, marketing and growth leadership across enterprise and high-growth environments.
The proposition
Most companies already have data. What they are missing is a sharper answer to the business question: where should we invest, what should we stop, who matters most, and which opportunities are actually worth pursuing?
I connect strategy, analytics, marketing science and AI so leaders can move from signal to decision — and from decision to measurable growth.
From boardroom question to operating plan
I start with the business decision, not the technology. Then I identify the data, analytical method and AI capability that can materially improve that decision.
How I work →Advisory
Built for companies that need senior strategic thinking and hands-on quantitative depth in the same room.
Market opportunity, positioning, expansion, launch architecture and growth priorities grounded in evidence.
Market entry · TAM/SAM/SOM · Competitive intelligence · GTMMeasurement that identifies which investments actually create incremental demand and profitable growth.
Bayesian MMM · Incrementality · Attribution · Budget optimizationPractical AI built around business value — not AI theater. Prediction, decisioning, automation and personalization.
AI strategy · Agentic workflows · Predictive models · Next-best actionUnderstand which customers create value, who is at risk and which experiences change lifetime economics.
CLV · Segmentation · Churn · Retention · PersonalizationAI without theater
No fake “live” dashboards. No invented real-time data. The value is in designing a system that continuously improves how the business allocates capital, understands customers and acts on market signals.
Bring together market, customer, media and operational signals.
Use causal models, predictive analytics and AI to prioritize action.
Operationalize the recommendation in marketing, CRM and business workflows.
Measure impact and update the strategy as new evidence arrives.
Selected results
A small selection of outcomes already reflected in my existing portfolio.
Automotive · Marketing science
Reallocated investment toward channels with stronger incremental contribution and improved cost-per-test-drive.
Luxury · Customer intelligence
Financial services · Growth
Retail · Personalization
How I work
Every engagement is structured around a business decision and the economic outcome it needs to create.
Clarify the business question, constraints and economics before touching the technology.
Define the strategy, measurement system and data signals that matter.
Apply analytics and AI only where they improve the decision or execution.
Operationalize, measure and refine until the capability becomes part of how the business works.
Client reviews
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About
I work at the intersection of business strategy, marketing, analytics and AI — translating complexity into decisions leaders can act on.
My background spans enterprise data, marketing science, growth strategy and AI. I have worked with senior executives and operators on decisions ranging from media investment and customer value to market entry, platform strategy and AI adoption.
Engage
Tell me the business problem. We can determine whether strategy, data, AI, marketing science — or a combination — is the right answer.