CMMMO = CSO
The Chief Scrutinizing Officer (CSO) Every Marketing Mix Modeling (MMM) project or for that matter any Data Science project needs
Blogs
MMM Model Update – What, Why and When
Wondering when to update your MMM model? Here is a guide 👇 Predominantly, a Machine Learning model needs to be
What is the best Marketing Budget Allocation
Marketing Budget Allocation One of the important use cases of MMM is the Marketing Budget Allocation. The results of MMM
Marketing Mix Modeling (MMM) and MTA are like X-ray into your marketing strategy.
Marketing Mix Modeling (MMM) and MTA are like X-ray into your marketing strategy. Much like an X-ray. They tell you:
7 key steps to get your Multi Touch Attribution (MTA) right
7 key steps to get your Multi Touch Attribution (MTA) right !! We have built 30 Markov Attribution models for
Don’t Stepwise Regression your MMM model
So recently a client hired us to build MMM models for them after failed attempts to in-house the MMM capability.
How Marketing Mix Modeling (MMM) can help you learn Linear Regression from first Principles.
How Marketing Mix Modeling (MMM) helped me learn Linear Regression from first Principles. Some of you have appreciated my posts
Why we report both confidence Interval and Prediction Interval in our MMM models
Why we report both confidence Interval and Prediction Interval in our MMM models. MMM is a type of linear regression
Selecting MMM models via AIC? Some key pointers
Selecting MMM models via AIC? Some key pointers 👇 The Akaike information criterion (AIC) is given by: AIC = 2k
Calibration vs Validation in MMM
Calibration vs Validation A lot of people use calibration and Validation interchangeably. The two are not the same. ▪ Calibration
