About Me
Liangtao Huang
Independent Statistician & Marketing Scientist
Bringing academic rigor to real-world marketing challenges through statistical modeling, causal inference, and experimental design.
Background
I'm an independent statistician and data scientist specializing in marketing science. My work focuses on helping businesses of all sizes make better marketing decisions through rigorous statistical analysis and experimental design.
Core Expertise
My approach combines academic rigor with practical business impact
Statistical Modeling
Bayesian inference, time series analysis, and predictive modeling
Causal Inference
Understanding true incrementality and lift through experimental and quasi-experimental methods
Marketing Mix Modeling
Quantifying channel contribution and optimizing budget allocation
Cross-Platform Attribution
Multi-touch attribution and unified measurement frameworks
Experimentation
A/B testing, holdout tests, and geo experiments with proper statistical design and analysis
Philosophy
Too many marketing decisions are made based on incomplete data or misleading metrics. Last-click attribution credits the wrong channels. Correlation is mistaken for causation. Experiments aren't properly designed or analyzed.
My mission is to bring scientific rigor to marketing measurement. This means asking better questions, designing proper experiments, using appropriate statistical methods, and being honest about uncertainty.
How I Work
I work with businesses across industries and stages—from startups optimizing their first paid campaigns to established companies managing multi-million dollar budgets.
Initial Audit
Measurement framework assessment
Strategy Development
Experiment design and planning
Implementation Support
Analysis and validation
Ongoing Optimization
Continuous reporting and refinement
Selected Case Studies
See how this approach plays out in real engagements
Ready to Work Together?
Share a bit about your business and we'll explore whether this approach is a good fit