Bayesian A/B Testing: A Better Way to Experiment
Moving beyond p-values to understand the probability of winning and expected loss using Bayesian inference.
Read full case studyCase Studies
Real-world examples of how rigorous measurement and experimentation improved marketing performance across B2B SaaS and e‑commerce.
Predicting Customer Lifetime Value (CLV) with Python
Using BG/NBD and Gamma-Gamma models to predict future customer value and identify high-value segments.
Read full case studyB2B SaaS
B2B SaaS Lowers Google Ads CPA by 35% with Better Measurement and Experimentation
Skeleton case study showing how the Google Ads optimization workflow can be applied to a B2B lead generation client.
35%
CPA Reduction
1.5x
Increase in Qualified Leads
E-Commerce
E-Commerce Brand Reduces CPA by 42% Through Systematic Creative Testing
How a DTC e-commerce brand improved Meta advertising performance through structured creative testing and proper measurement
42%
CPA Reduction
3.2x
ROAS Improvement
180%
Scale in Spend
Building a Marketing Mix Model (MMM) with Python
A step-by-step guide to building a basic Media Mix Model using Python, scikit-learn, and statsmodels to optimize marketing budget allocation.
Read full case studyWondering what this could look like for your business?
Every engagement is different, but the same measurement and experimentation framework applies. Share a bit about your context and we'll explore together.