Every go-to-market team is racing to embed AI into their revenue motion. Most are stalling before they see measurable results. The problem is rarely the model. Models are now a commodity. What separates the teams producing extraordinary outcomes from the ones generating expensive noise is the data beneath the model.
In The GTM Laws of Physics, ZoomInfo VP of Account Management Alex Lazerowich introduces a governing framework built around four sequential laws: Context, Timing, Targeting, and Content. These laws cannot be violated without consequence, and the returns compound in order.
In this guide, you’ll learn:
- Why context is the real competitive moat in an AI-powered GTM motion
- The four laws that govern every GTM motion and why the order matters
- The Four Foundational Layers that turn raw data into AI-ready intelligence
- Real-world examples of companies that built this framework and what it produced
Find out what it takes to build a GTM engine that respects the laws and compounds returns over time.
