MMM

Why should you watch this webinar?

Understanding what is working (and what isn’t) in an organization's marketing mix has never been more important than it is today. Without being able to understand this, it is hard to determine what the appropriate investment strategy will be for brands in the future.

One technique that an increasing number of analysts are looking to learn to help measure this is marketing mix modeling. We are delighted to be able to offer this opportunity for analysts to learn these skills and gain certification in using specialist software.

Through this course, we will explore why data has taken centre stage in recent times and how companies around the world are utilizing insights to make informed decisions about their marketing investments. The course will introduce you to the concept of Marketing Effectiveness and how it can be achieved through Marketing Mix Modelling (MMM).

If you'd like to watch the 2nd part of the Marketing Mix Modeling Beginner's course, please click here

 

 

MMM_webinar

What will you learn?

  • What is the attribution problem? 
  • Why is GA4 DDA not sufficient? 
  • What is the difference between GA4 Data-driven Model and Roivenue AI model? 
  • How do the attribution models fare in different business contexts, thereby offering valuable insights into their strengths and limitations? We will be examining six case studies to gain a comprehensive perspective. 
  • How can you test drive Roivenue’s AI model and which platforms are already supported? 

Speaker

Tina

Tina Keightley

Technical Services Manager
ScanmarQED