AI isn’t here to replace marketers; it’s here to help them focus on the work that matters most.
In this episode of Adspeak by ADWEEK, editor in chief Ryan Joe sits down with Rafa Flores, chief product officer at Treasure.AI, to explore how AI can transform marketing from predictive to truly proactive.
They discuss how marketers can use AI to automate repetitive tasks, break down data and technology silos, and create more personalized customer experiences.
Rafa explains the difference between predictive and proactive marketing, how synthetic personas can help teams test messaging before going live, and how autonomous AI orchestration can engage consumers around the clock.
The conversation also tackles the human side of AI adoption, including change management and building internal trust.
Most importantly, Rafa shares why marketers should start with contained, low-risk experiments before scaling AI across the organization.
What you’ll learn:
- How to reframe AI adoption as momentum-building rather than job displacement
- Why fragmentation across data silos and AI agents is killing ROI
- The difference between predictive and proactive marketing strategies
- How to build synthetic personas that actually deliver insights
- The autonomous orchestration framework for 24/7 consumer engagement
- Why you should start small, contain failures, and scale gradually
About the guest:
Rafa Flores is the chief product officer at Treasure.AI, where he leads product strategy, growth, and the company’s push into agentic AI and AI-powered marketing. A veteran technology executive with more than 15 years in product leadership, Rafa has helped scale category-defining companies including Treasure Data, Arm Holdings, Meltwater, Datanyze, and 6sense. His expertise spans AI, customer data, SaaS, and enterprise transformation, with a focus on turning emerging technologies into measurable business outcomes. He is recognized for building innovative products, high-performing teams, and scalable AI solutions.