The AI Marketing Vendor Evaluation That Starts With Your Own Team
AI marketing vendor evaluation usually aims the scrutiny at the vendor. The questions that predict whether an AI agent works are ones about your own team.
AI marketing vendor evaluation usually aims the scrutiny at the vendor. The questions that predict whether an AI agent works are ones about your own team.
Decisioning is a lending term martech borrowed without its duty to explain a decision. Here's what that means when you evaluate an AI decisioning platform.
Martech transformation stalls get blamed on complexity. The real driver is a consulting business model that rewards spend over the capability your team keeps.
Composable projects rarely fail on the technology. They fail on marketing orchestration: no one owns what the unified stack decides. Here is the org-chart fix.
Agentic transformation is vendor language for buying AI agents. Search data and the production gap reveal what decides the payoff: whether your team can run it.
AI ROI fails on data foundations, not model quality. Atlan on the 2.5x gap in AI revenue satisfaction and why the fix is upstream of the models.
Most martech investment decisions fail the same way. Three questions borrowed from AI project triage catch the bets that won't deliver ROI before you buy.
AI cognitive offloading is quietly eroding marketing judgment and critical thinking. Here's the threat senior marketers miss, and how to protect the skill.
Martech vendor negotiation in a buyer's market rewards the wrong prize. Why the discount is a trap, and what to negotiate for when renewing martech contracts.