The blog · Author
A demand architect and RevOps operator. He designs the systems that turn scattered signals into pipeline, and the Demand Compass came out of work he led.
Two axes, four quadrants, one move each. The instrument that replaces the MQL with a reading of where every account actually stands.
The axis almost everyone gave up on is measurable, out of data you already own, if you treat awareness as a behavioral footprint instead of a survey result.
Readiness happens inside the account on its own schedule. You cannot create it, so the job is detection, interpretation and speed.
The MQL packed four different questions into one score. Here is what it confused, why sales stopped trusting it, and what a qualification model should have done instead.
The sales-marketing alignment conversation has been happening for 20 years. It keeps failing because it diagnoses the wrong problem. The gap is almost never about communication — it's about data architecture.
Most B2B revenue teams describe their pipeline as unpredictable. The reason is almost always structural: a funnel that empties faster than it fills. Here's how to build for the cycle instead.
Campaign-based demand gen resets every quarter. Always-on demand gen compounds. Here’s the structural difference — and why most marketing leaders are diagnosing the wrong problem.
Most B2B teams spend significant budget on events then lose 80%+ of the leads in a follow-up process that never runs properly. Here’s what it costs and how to fix it.
Most B2B revenue teams think they know their market. Their active prospect list tells a different story. Here’s why the gap exists, what it’s costing you, and how to close it without hiring a researcher.
If your pipeline slows when one person is out, that’s not a personnel problem. It’s a systems problem. Here’s how to find the dependency before the board does.
Most CMOs we speak to aren't struggling with effort. Their teams are busy, campaigns are running, content is going out. On paper, everything looks right. And yet the pipeline tells a different story, inconsistent, hard to predict, and increasingly expensive to sustain.
