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.

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Google Ads Optimization

Maximize ROI through data-driven Google Ads management and continuous optimization.

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Meta Advertising Strategy

Strategic Facebook & Instagram advertising campaigns backed by rigorous testing and analysis.

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TikTok Ads Optimization

Performance-focused TikTok advertising with creative testing and measurement rigor.

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LinkedIn Ads Strategy

B2B-focused LinkedIn campaigns designed to generate qualified leads and pipeline.

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Cross-Channel Measurement & Strategy

Higher-level projects that connect data across platforms and guide budget allocation.

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Tracking & Data Foundation Audit

Audit and fix your cross-channel tracking, events, and data structure so measurement is trustworthy.

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Analytics Stack & Dashboard Design

Design the metrics and dashboards your team needs on top of GA4, ad platforms and BI tools.

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Experimentation & Incrementality Testing

Design and analyze experiments and geo tests to quantify true channel lift and impact.

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Cross-Platform Attribution & MMM

Cross-channel MMM and attribution on top of GA4, ad platforms, and tools like Triple Whale or Looker Studio.

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Why Marketing Science Matters

1

Rigorous Statistical Analysis

Move beyond vanity metrics. I use advanced statistical methods including Bayesian inference, causal inference, and experimental design to understand true incrementality.

2

Cross-Platform Attribution

Understand how your channels work together. Marketing Mix Modeling (MMM) and multi-touch attribution reveal the true contribution of each platform.

3

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.

$2M+
Ad spend analyzed and optimized
35%
CPA reduction for B2B Google Ads client
42%
CPA reduction in Meta creative testing case

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.