
Bayesian vs. Frequentist Thinking in Marketing Mix Modeling
Failed to add items
Sorry, we are unable to add the item because your shopping cart is already at capacity.
Add to basket failed.
Please try again later
Add to Wish List failed.
Please try again later
Remove from Wish List failed.
Please try again later
Follow podcast failed
Unfollow podcast failed
-
Narrated by:
-
By:
About this listen
In this episode, we unpack how Bayesian and Frequentist statistical approaches tackle marketing performance analysis, focusing on Marketing Mix Modeling (MMM). You’ll learn the key differences in interpretation, how Bayesian methods enable sequential updates and uncertainty modeling, and why they’re gaining traction in modern marketing analytics. Ideal for marketers, data scientists, and anyone curious about the “why” behind the math.
No reviews yet
In the spirit of reconciliation, Audible acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.