Hierarchical Bayesian Modeling
Thomas discusses the intricacies of modeling customer acquisition costs across different marketing channels using hierarchical Bayesian methods. He explains how the model accounts for similarities between channels and adapts to changes over time, such as those experienced during COVID. The conversation highlights the complexity of building effective models while emphasizing the importance of scalability and data intricacies.In this clip
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