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

Chris Daigle sits down with Peter Swimm, founder of Toilville, to explore how conversational AI and local models are transforming the way we work. With over 25 years in tech, including time at Microsoft designing Copilot products, Peter shares how he built an AI-first workflow that replaced dozens of SaaS tools with personalized, voice-driven automation.

He talks about his week-long experiment of running his business entirely through conversational AI, what it taught him about productivity, and why the future of apps may be modular, API-driven, and built on personal ownership of data. From helping small businesses adopt AI responsibly to envisioning a post-SaaS world where you own your own tooling, Peter explains how leaders can think in AI and find competitive advantages without falling into the tech hype.

This conversation is packed with insights for founders, executives, and teams curious about what practical, day-to-day AI adoption looks like when built with sustainability, ethics, and real business needs in mind.

🔎 Find Out More About Peter Swimm and Toilville
Peter Swimm on LinkedIn - https://www.linkedin.com/in/peterswimm
Toilville - https://www.itstoilville.com/

🛠 AI Tools and Resources Mentioned in This Episode
Claude by Anthropic - https://claude.ai/
ChatGPT - https://openai.com/chatgpt
Notion - https://www.notion.com/

📌 Chapters
00:00 - Introduction to Peter Swimm
02:05 - From Microsoft to Building Toilville
03:42 - What Conversational AI Really Means
09:11 - Why Apps as We Know Them Are Dying
12:23 - Running a Business with Voice-Only AI
14:45 - Regaining Control of Notifications and Workflow
17:13 - Building Custom Tools with Claude
23:04 - The Case for Open Sharing and Local Models
26:09 - Reimagining Workflows Beyond SaaS
34:12 - Running Lean Teams with AI
36:21 - Rethinking Work Paradigms and Productivity
42:21 - The Future of Apps and Personal Data Control
44:27 - How to Connect with Peter Swimm

Episode tags:

AI in the workplace, Conversational AI, Voice AI productivity, Small business AI adoption, Local AI models, Replacing SaaS with AI, Real-world AI applications, Building with Claude, Executive AI strategy, Future of apps, AI for small teams, AI workflow automation

Chris Daigle sits down with Steff Vanhaverbeke, author of Being Replaced: The Five Human Skills AI Cannot Automate, to explore how professionals and businesses can thrive in an AI-powered world. Steff introduces her Cognitive Agility Framework, highlighting the uniquely human skills, like critical thinking, creativity, emotional intelligence, collaboration, intuition, and innovation, that set us apart from machines.

You’ll hear how to avoid the “AI slop” trap by doubling down on authenticity, how to use AI tools without losing human value, and why the businesses that remain most human will stand out in the future. Steff also shares insights from her workshops and training with executives, revealing the levels of AI adoption she sees across organizations today.

This episode is a must-listen for business leaders, teams, and professionals who want to use AI at work without losing what makes them irreplaceable.

🔎 Find Out More About Steff Vanhaverbeke
The House of Coaching
Being Replaced on Amazon

🛠 AI Tools and Resources Mentioned in This Episode
ChatGPT
ChiefAIOfficer Resources

📌 Chapters
00:00 - Introduction
01:43 - Meet Steff Vanhaverbeke
03:10 - Inside the Book: 'Being Replaced'
05:00 - The Five Human Skills AI Can’t Replace
08:00 - Emotional Intelligence and the Limits of AI Empathy
13:40 - Collaborative Intelligence and the Tomorrowland Example
20:22 - Intuition and Human Decision-Making in Business
23:00 - Innovation as a Differentiator in an AI World
26:00 - Making These Skills Actionable at Work
30:00 - How Human-Centric Companies Will Stand Out
38:00 - The Super Worker Model
44:15 - Misconceptions, Resistance, and What’s Next for AI Adoption

Episode tags:
AI at work, Human skills vs AI, AI in business, Executive AI adoption, Generative AI in the workplace, Cognitive Agility Framework, Authenticity with AI, Emotional intelligence in AI era, Innovation and intuition with AI, Collaborative intelligence, AI slop problem, Business leadership in AI