Coming Soon

AI Revenue Playbook

A 6-module micro-course on building ML-powered marketing systems that generate revenue. From data architecture to production deployment.

What You'll Learn

BigQuery setup, event taxonomy, identity resolution, and the data model that powers everything else.

Feature engineering, XGBoost in BigQuery ML, model evaluation, score calibration, and production deployment.

Choosing and implementing a CDP, building 200+ segments, managing audience hygiene at scale.

The 4-tier conversion value framework, Enhanced Conversions, Performance Max optimization, and ROAS measurement.

Survival analysis, multi-horizon risk scoring, automated retention triggers, and measuring retention ROI.

Multi-touch attribution, incrementality testing, model monitoring, and building a continuous feedback loop.

Marketing data engineers building ML pipelines

Marketing technologists connecting ML to CDPs and ad platforms

Data scientists wanting production-tested patterns

VPs and directors evaluating AI marketing architecture

Founders building data-driven growth engines

Agencies offering AI-native marketing services

Drop your email and I'll let you know when the playbook is live. No spam.