How The Meta Ads Algorithm Really Works
The Andrew Faris Podcast
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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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