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In this episode of the Human First AI Marketing podcast, host Mike Monague sits down with Zeke Camusio, founder of Data Speaks AI, to explore how small and mid-sized businesses can unlock the true potential of their marketing data. With decades of experience in both marketing and data science, Zeke breaks down how AI-powered analytics can help SMBs cut through complexity, eliminate guesswork, and make smarter, ROI-driven decisions without replacing the human expertise that makes marketing truly impactful.

Together, Mike and Zeke dive into the critical difference between accurate data and meaningful insights, the shortcomings of traditional attribution models, and the rising importance of accessible, real-time reporting. You'll hear about the evolving role of the marketer in an AI-assisted world, the value of human-in-the-loop systems, and how to build a culture that treats data as a tool for learning, not a weapon for judgment. If your business wants to work smarter, not harder, with its ad spend and analytics stack, this episode is your roadmap.

Top Takeaways
1. AI amplifies, not replaces, human marketers.
Zeke emphasizes that AI is best used to supercharge human decision-making, not to automate creativity or eliminate strategic thinking.

2. Marketing data is often siloed and overwhelming.
Most businesses use 12+ platforms, making it nearly impossible to manually analyze performance and optimize in real time without help.

3. Your source of truth is your revenue, not your pixels.
Relying on pixel-based attribution leads to misleading data; marketers must anchor insights to real financial outcomes.

4. AI can monitor millions of data points and prioritize insights.
Instead of drowning in dashboards, AI systems can filter noise and surface the 2–3 actions that will move the needle.

5. Accurate, accessible data is a competitive advantage.
Companies that make it easy for teams to access and understand data are 3x more likely to make better marketing decisions.

6. The most valuable insights come from human-AI collaboration.
Marketers must provide context and judgment while AI handles the heavy data lifting; this synergy leads to smarter actions.

7. Multi-touch attribution models often lack scientific grounding.
Tools that arbitrarily divide credit between platforms miss the nuanced, real-world customer journey that influences purchases.

8. Great analytics needs a balance of platform, process, and people.
Data Speaks AI uses this triad to structure its approach, delivering scalable, self-service analytics without losing strategic depth.

9. Running experiments builds a healthy data culture.
Teams should test hypotheses, measure impact, and learn from outcomes to foster a learning environment instead of a blame culture.

10. The future of marketing is AI-connected, real-time, and assistive.
Zeke predicts

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