Chris Daigle sits down with Jeff Greenfield, CEO of Provalytics, to uncover how AI-driven attribution is transforming marketing measurement in the age of privacy.

Jeff shares his journey from building one of the first multi-touch attribution companies to creating Provalytics, a platform built to solve one of marketing’s oldest challenges: “Half of my ad spend is wasted — I just don’t know which half.”

This conversation covers:

    • Why clicks mislead, and why impressions still matter
    • How AI models real ad impact across multiple channels
    • Why Google Analytics and “last-click” thinking are broken
    • The balance between consistency and correctness in corporate marketing
    • New opportunities in connected TV, influencer marketing, and digital out-of-home
    • How small teams can use AI tools like ChatGPT + spreadsheets for attribution insights

Key Insight: Most companies waste 80–90% of their ad spend. With AI attribution, marketers can reclaim budget, reduce stress, and unlock smarter strategies.

🔎 Find Out More About Jeff Greenfield and Provalytics

Jeff Greenfield on LinkedIn - https://www.linkedin.com/in/jeffgreenfield/
Provalytics - https://provalytics.com/

🛠 AI Tools and Resources Mentioned in This Episode
ChatGPT - https://openai.com/chatgpt

📌 Chapters
00:00 – Introduction to Jeff Greenfield
02:43 – The century-old attribution problem
06:02 – From C3 Metrics to Provalytics
11:02 – Why last-click attribution is broken
28:05 – Consistency vs correctness in corporate marketing
31:11 – How AI models ad spend impact
36:05 – Channels beyond clicks: CTV, influencers, OOH
42:41 – Practical attribution tips for small teams
46:14 – The future of privacy-first measurement
48:58 – How to connect with Jeff Greenfield 

Episode tags:
AI in the workplace, AI for business leaders, Generative AI at work, AI operational strategy, AI in marketing attribution, AI productivity tools, Real-world AI applications, AI for process improvement, Executive AI training, AI transformation stories, Ethical AI business, AI case studies, AI in operations management, AI strategy for executives