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#449 Smarter Ad Spend with AI: Zeke Camusio’s Attribution Playbook for Founders and CMOs

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Manage episode 473271570 series 3506362
Content provided by Mehmet Gonullu. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mehmet Gonullu or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

In this episode, Mehmet speaks with Zeke Camusio, founder of Data Speaks, an AI-powered platform helping marketers and founders finally solve the attribution puzzle. From cutting through vanity metrics to deploying machine learning for media mix modeling, Zeke shares a tactical playbook for maximizing return on every marketing dollar—without increasing ad spend.

Whether you’re a founder navigating early-stage growth or a CMO optimizing multimillion-dollar campaigns, this conversation offers powerful insights into how AI is transforming marketing efficiency.

🔑 Key Takeaways

• The two major attribution challenges most startups overlook

• Why traditional analytics tools like Google Analytics can mislead your strategy

• The difference between multi-touch attribution and media mix modeling

• How AI and machine learning bring clarity to messy marketing data

• What startup founders should know before scaling their ad budget

• How to optimize ROI across multiple channels—even with limited resources

• What to expect from the future of marketing in a cookie-less, AI-powered world

💡 What You’ll Learn

• Why attribution is broken—and how to fix it

• How to reduce waste in marketing spend

• How small businesses can access tools once limited to enterprise

• The strategic role of AI in marketing planning

• When to consider first-party tracking vs. third-party pixels

• How to think about incrementality in your campaigns

👤 About Zeke Camusio

Zeke Camusio is a serial entrepreneur and the founder of Data Speaks, an AI-powered analytics platform that helps companies identify what drives their sales and invest in the right marketing strategies.

With a background in economics and data science, Zeke has spent the last 20 years developing AI, machine learning and data analytics solutions, enabling hundreds of companies to make data-driven decisions and accelerate growth.

He is a frequent speaker at AI, machine learning, and digital marketing conferences and podcasts.

https://www.dataspeaks.ai/

https://www.linkedin.com/in/zekecamusio/

⏱️ Episode Highlights & Timestamps

[00:02:00] – Zeke’s background and journey from marketing agency to AI startup

[00:06:00] – Common misconceptions about data-driven marketing

[00:10:00] – Attribution breakdown: why last-click logic fails

[00:13:00] – Explaining media mix modeling with real-world examples

[00:17:00] – Where machine learning fits into attribution

[00:20:00] – Why tracking individual users is no longer the best path

[00:26:00] – Cost considerations: DIY vs. partnering with attribution experts

[00:29:00] – Can we track traffic from ChatGPT and LLMs?

[00:33:00] – Zeke’s prediction: AI agents as decision-making assistants

[00:36:00] – Final advice for founders and marketing leaders

  continue reading

461 episodes

Artwork
iconShare
 
Manage episode 473271570 series 3506362
Content provided by Mehmet Gonullu. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mehmet Gonullu or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

In this episode, Mehmet speaks with Zeke Camusio, founder of Data Speaks, an AI-powered platform helping marketers and founders finally solve the attribution puzzle. From cutting through vanity metrics to deploying machine learning for media mix modeling, Zeke shares a tactical playbook for maximizing return on every marketing dollar—without increasing ad spend.

Whether you’re a founder navigating early-stage growth or a CMO optimizing multimillion-dollar campaigns, this conversation offers powerful insights into how AI is transforming marketing efficiency.

🔑 Key Takeaways

• The two major attribution challenges most startups overlook

• Why traditional analytics tools like Google Analytics can mislead your strategy

• The difference between multi-touch attribution and media mix modeling

• How AI and machine learning bring clarity to messy marketing data

• What startup founders should know before scaling their ad budget

• How to optimize ROI across multiple channels—even with limited resources

• What to expect from the future of marketing in a cookie-less, AI-powered world

💡 What You’ll Learn

• Why attribution is broken—and how to fix it

• How to reduce waste in marketing spend

• How small businesses can access tools once limited to enterprise

• The strategic role of AI in marketing planning

• When to consider first-party tracking vs. third-party pixels

• How to think about incrementality in your campaigns

👤 About Zeke Camusio

Zeke Camusio is a serial entrepreneur and the founder of Data Speaks, an AI-powered analytics platform that helps companies identify what drives their sales and invest in the right marketing strategies.

With a background in economics and data science, Zeke has spent the last 20 years developing AI, machine learning and data analytics solutions, enabling hundreds of companies to make data-driven decisions and accelerate growth.

He is a frequent speaker at AI, machine learning, and digital marketing conferences and podcasts.

https://www.dataspeaks.ai/

https://www.linkedin.com/in/zekecamusio/

⏱️ Episode Highlights & Timestamps

[00:02:00] – Zeke’s background and journey from marketing agency to AI startup

[00:06:00] – Common misconceptions about data-driven marketing

[00:10:00] – Attribution breakdown: why last-click logic fails

[00:13:00] – Explaining media mix modeling with real-world examples

[00:17:00] – Where machine learning fits into attribution

[00:20:00] – Why tracking individual users is no longer the best path

[00:26:00] – Cost considerations: DIY vs. partnering with attribution experts

[00:29:00] – Can we track traffic from ChatGPT and LLMs?

[00:33:00] – Zeke’s prediction: AI agents as decision-making assistants

[00:36:00] – Final advice for founders and marketing leaders

  continue reading

461 episodes

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