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Advanced Meta & Google Ads Media Buying Principles (From A Math Ph.D.)

The Andrew Faris Podcast · April 22, 2025 · 50 min

Summary

This episode dives deep into advanced Meta and Google Ads strategies, moving beyond basic principles to explore the mathematical and data-driven approaches essential for maximizing ad performance. For ecommerce operators, this means understanding how to optimize media buying with a rigorous, analytical mindset to achieve superior ROI and sustained growth.

Key takeaways

Themes

paid acquisitionanalytics & attributiondtc strategyfinance & fundraising

Topics covered

meta ads optimizationgoogle ads strategiesmedia buying principlescohort forecastingad creative strategyroi maximization

Episode description

BEHIND THE SCENES STUDIOWork with the same Meta Ads creative production team that Andrew does with Behind The Scenes Studio, a More Staffing sister company: ⁠https://www.behindthescenes.studio/.ADMISSIONGet the best media buying training on the Internet + a free coaching call with Common Thread Collective's media buyers when you sign up for ADmission here: https://www.youradmission.co/andrew-faris-podcast//Dr. Andrei Lunev and Ruslan Galba are the co-founders of Tegra.Co, a digital ads agency scaling DTC brands profitably with Meta Ads, Google Ads, and Email Marketing. Explore working with them at Tegra.Co, follow Andrei at X https://x.com/andreilunev.//SUBSCRIBE TO MY PODCAST FOR 2X WEEKLY UPLOADS!FOLLOW UP WITH ANDREW X: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://x.com/andrewjfaris Email: podcast@ajfgrowth.comWork with Andrew: https://ajfgrowth.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠//In this episode, we explore how AI, machine learning, and manual bidding strategies are reshaping performance marketing on platforms like Meta and Google. Featuring Dr. Andre Lunev (a PhD in physics turned media buyer) and his partner Russ Galba, this conversation dives deep into how advanced data models, cost controls, and custom AI tooling are being used by elite marketers t

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Frequently asked about this episode

What does this episode say about paid acquisition?
Apply a scientific, hypothesis-driven approach to media buying, treating ad campaigns as experiments to be constantly refined based on data.
What does this episode say about analytics & attribution?
Focus on understanding the underlying mathematical principles of ad platforms to predict outcomes and strategically allocate budget, rather than just adjusting bids reactively.
What does this episode say about dtc strategy?
Leverage cohort forecasting to anticipate future customer value and inform media buying decisions, optimizing for long-term LTV rather than short-term ROAS.
What does this episode say about finance & fundraising?
Develop a robust ad creative strategy integrated with media buying, recognizing that even the best targeting won't compensate for ineffective creative.
What does this episode say about paid acquisition?
Implement disciplined budget allocation and scaling techniques based on marginal returns, ensuring every dollar spent contributes to profitable growth.

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