AI ROI Is an Operating Model Problem
Microsoft's 20,000-user study found organizational factors account for 67% of AI performance variance. Your AI ROI problem is an operating model problem.
Posts
Feature Utilization Is Two Problems, Not One
Low martech platform utilization isn't one problem. It's two: a capability gap requiring investment or a rightsizing opportunity requiring divestment.
The Agentic Marketing Organization Won't Work Without a Capability Plan
The agentic marketing model solves for architecture when the real problem is capability. Why these operating frameworks fail and what's needed first.
Your Vendor Says You'll Need It Later. Here's How to Know.
56% of tech plans become obsolete before implementation. Use this 3-part timeline test to separate legitimate martech strategic bets from expensive hope.
Context Engineering, Decoded: Why CMOs Need to Know Which Definition Their Team Means
Context engineering is one term running on two different definitions. CMOs need to know which version their team means before funding either.
Free-Year Migration Offers: The Math Vendors Skip
Vendor 'free first year' migration offers bundled with multi-year contracts rarely pencil out against real timelines. Here's the math procurement skips.
The Measurement Contract Your Analytics Team Never Signed
Marketing measurement frameworks fail without an organizational contract defining decision rights, insight SLAs, and accountability. Here's what's missing.
The Stability Revolt: Why Senior Martech Leaders Are Choosing Foundations Over Agentic DXP Theater
Vendor AI agents redistribute complexity onto buyer teams. Research shows 45% fail expectations. What senior martech leaders should evaluate instead.
Context Rot: Why AI-Powered Martech Degrades When Nobody's Watching
Context rot degrades the rules, segments, and data feeding your AI systems. The ownership model and audit cadence that catch it before outputs go wrong.