Taylor and Luke, walk through exactly how the Prophit Engine system enables one person to deliver the work and outcome of three.
This isn't about replacing people with AI. It's about what happens when you combine 12 years of methodology, a purpose-built data infrastructure, and an operator empowered by enterprise-grade tooling.
In this roundtable replay, Taylor demos:
How data infrastructure creates the foundation for fast decisions
The planning process: marketing calendar → financial forecast → daily targets
Statlas dashboard: from contribution margin to campaign-level actions
The Hierarchy of Metrics: diagnosing problems top to bottom
Creative demand planning: how many ads, what products, which moments
Outlier engine: why 3.5% of ads drive 66% of spend
How AI context layers are making Prophit Engineers move 10x faster
Luke walks through:
Creative analytics: spending power, outlier rates, activation economics
How to turn creative production from gambling into math
Key stat: 3% forecast-to-target accuracy across $3B+ in managed revenue.
Show Notes:
