Rafael Treviño Garza

Persistent memory across campaigns lets B2B teams learn from past outcomes, not repeat them.

Measure autonomous B2B ad agents on pipeline outcomes, not platform metrics.

AI execution with flat fees replaces spend-based incentives and human dependency in B2B paid media.

Agentic marketing platforms create five layers of lock-in that make exit commercially impractical.

Standard access requires demonstrated volume under Basic's ceiling before Google will grant it.

Agentic systems need real-time attribution signals to optimize, not post-campaign reports.

Most B2B teams can't reconcile CRM and ad platform data on the same deal.

AI-generated campaign reports confidently deliver false numbers straight to budget decisions.

True learning requires predictive analytics baked into agents, not bolted on dashboards.

The difference between letting AI suggest changes and letting it run your campaigns on its own.

Agentic AI automates B2B paid media decisions across platforms in real time.