Outcome-Based Pricing: What If You Only Paid When Martech Delivered?
Outcome-based pricing could transform how you buy martech. Here's where AI pricing models already work, what's blocking core platforms, and what to do Monday morning.
Outcome-based pricing could transform how you buy martech. Here's where AI pricing models already work, what's blocking core platforms, and what to do Monday morning.
Feature-based martech buying fails because it bypasses the strategic clarity that determines platform fit. Here's why both buyers and vendors keep repeating the cycle.
Wynter found 30% of B2B companies overclaim AI. The buried quotes reveal four distinct failure modes with different drivers and different fixes. The aggregate lets everyone hide.
AI pricing increases follow the same penetration pricing playbook as Netflix, Adobe, and Uber. The real risk isn't the cost. It's whether your organization is built to use AI at all.
License bloat, stack sprawl, and training gaps are one reinforcing cycle. Learn the diagnostic framework and 90-day playbook to break it.
CMOs who skip capability assessment when hiring martech talent make the same error they make buying platforms. The result is the same underperformance cycle.
New York Life's CMO Amy Hu invested three years in data infrastructure and measurement before AI. Here's why capability-first sequencing drives better outcomes.
The martech stack is dissolving into company-wide AI architecture. That's a forecast, not today's reality. Here's what CMOs and ops pros should do Monday morning.
Gartner research shows personalization harms 53% of customers. Cart abandonment hasn't budged in five years. 70% of CMOs admit they can't scale it. Here's what the data says about the consumer promise, the execution reality, and what would work instead.