What’s the Difference Between Frequentist and Bayesian Regression in Marketing Mix Modeling?
Discover the Difference between Frequentist and Bayesian Regression in Marketing Mix Modeling. Learn how they impact your marketing strategies
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Discover the Difference between Frequentist and Bayesian Regression in Marketing Mix Modeling. Learn how they impact your marketing strategies
Read this article to know how you can get Insights through Pooled Regression in Marketing Mix Modeling with MASS Analytics.
Two of the key concepts in Marketing Mix Modeling is the relationship between ROI and Contribution.
Because of diminishing returns, as the contribution increases, and the more the business spends on a channel, the less marginal contribution it will generate. This translates into a decreasing ROI.
Because of this dilemma, the MMM analyst must ensure that they achieve consistent and sustainable contribution while keeping an eye on the level of ROI.
In the previous part of this MMM Guide series, we explored one of the corner stones of Marketing Mix Modeling, which is Regression Analysis. In this article we cover some of the ways in which you can ensure the robustness of your model and reliability of your results.
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