The Andrew Faris Podcast Advanced Meta & Google Ads Media Buying Principles (From A Math Ph.D.)
Apr 22, 2025
In this captivating discussion, Andrei Lunev, a math Ph.D. and co-founder of Tegra.Co, teams up with fellow co-founder Russ Galba to unravel cutting-edge media buying principles. They explore the transformative role of AI and machine learning in optimizing ad performance across Meta and Google platforms. Listeners learn about advanced bidding strategies, the intricacies of launch predictions, and mastering custom AI tools for enhanced ROI. Their data-driven insights reveal how to navigate the complexities of modern advertising for DTC brands.
AI Snips
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Transcript
Episode notes
Bid Caps Control Spend Efficiently
- Bid caps optimize ad spend by buying impressions with predicted CPA below your set bid.
- Timing affects ad performance; weekend auctions often yield cheaper conversions than weekdays.
Scaling Ads Backfires Anecdote
- Andre shared how scaling ads after early success caused CPA to spike and performance to tank.
- This experience pushed him to embrace cost controls like bid caps to stabilize results.
Meta's Second-Price Auction Explained
- Meta's auction is a second-price auction; you pay slightly above the next highest bid, not your maximum bid.
- Setting bids slightly higher than your true reserve helps close the gap to desired costs.