Most GTM stacks are open loops. You ship motions, book the meeting, close the quarter, and never learn which input caused the output. The tools make you busier, not smarter.
We will walk through the loop we actually run: how outcome data flows back into targeting, messaging, and sequencing, and where AI closes the loop faster instead of just automating the guess.
You'll see why most attribution is theater, how self-reported data exposes what the software can't, and how to feed wins, losses, and churn back into your ICP and signal library so the next motion gets smarter.
Leave being able to audit your stack for open loops and stand up one real feedback loop where an outcome changes the next action.
What You'll Learn:
Why most attribution is theater and what actually compounds
How to feed wins, losses, and churn back into your ICP
How to stand up one weekly loop the system improves on its own
