Independent Marketing Scientist
Statistical Rigor Meets Marketing Performance
I use statistical modeling, causal inference, and experiment design to help you turn ad spend into measurable, incremental growth across Google Ads, Meta, TikTok, LinkedIn and beyond.
Snapshot of what I focus on:
- • Fixing GA4 + ad platform measurement and attribution
- • Designing experiments that prove which strategies actually work
- • Building simple, repeatable optimization cadences for teams
- • Applying marketing science (MMM, incrementality) when scale justifies it
How I Can Help
Specialized services to optimize your advertising performance across single platforms and your broader cross-channel mix.
Platform-Specific Optimization
Deep work inside individual platforms like Google Ads, Meta, TikTok, and LinkedIn.
Google Ads Optimization
Maximize ROI through data-driven Google Ads management and continuous optimization.
Learn moreMeta Advertising Strategy
Strategic Facebook & Instagram advertising campaigns backed by rigorous testing and analysis.
Learn moreTikTok Ads Optimization
Performance-focused TikTok advertising with creative testing and measurement rigor.
Learn moreLinkedIn Ads Strategy
B2B-focused LinkedIn campaigns designed to generate qualified leads and pipeline.
Learn moreCross-Channel Measurement & Strategy
Higher-level projects that connect data across platforms and guide budget allocation.
Tracking & Data Foundation Audit
Audit and fix your cross-channel tracking, events, and data structure so measurement is trustworthy.
Learn moreAnalytics Stack & Dashboard Design
Design the metrics and dashboards your team needs on top of GA4, ad platforms and BI tools.
Learn moreExperimentation & Incrementality Testing
Design and analyze experiments and geo tests to quantify true channel lift and impact.
Learn moreCross-Platform Attribution & MMM
Cross-channel MMM and attribution on top of GA4, ad platforms, and tools like Triple Whale or Looker Studio.
Learn moreWhy Marketing Science Matters
Rigorous Statistical Analysis
Move beyond vanity metrics. I use advanced statistical methods including Bayesian inference, causal inference, and experimental design to understand true incrementality.
Cross-Platform Attribution
Understand how your channels work together. Marketing Mix Modeling (MMM) and multi-touch attribution reveal the true contribution of each platform.
Continuous Optimization
Marketing isn't set-and-forget. I establish systematic testing frameworks, monitoring, and iteration protocols to ensure sustained performance improvement.
Results That Matter
A few examples of how rigorous measurement and experimentation translate into business outcomes.
Case Study · B2B SaaS
Lowering Google Ads CPA while increasing qualified leads
How a B2B SaaS company aligned GA4 and Google Ads, cleaned up non‑brand search, and used experiments to reduce CPA by 35% while growing pipeline.
Case Study · E‑Commerce
Reducing Meta CPA through systematic creative testing
How a DTC brand built a creative testing framework on Meta, leading to a 42% reduction in CPA and more scalable spend.
Ready to Optimize Your Marketing?
Let's discuss how data-driven strategies can improve your advertising performance.