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5min chapter
How The Meta Ads Algorithm Really Works
The Andrew Faris Podcast
Understanding Ad Testing and Meta's Learning Algorithms
This chapter delves into the difficulties marketers encounter with ad testing on Meta, highlighting the pitfalls of relying on intuition over data-driven methodologies. It introduces advanced concepts like probabilistic forecasting and Bayesian principles, showcasing how Meta's algorithms can enhance ad performance without the need for traditional controlled trials.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode