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    AI-guided MMM with genetic model search and full transparency

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    Scenario planning and budget allocation connected to MMM outputs

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    Unified view combining MMM, MTA, and incrementality in one framework

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    Find the answers you need fast

The Importance of Response Curves

On-demand webinar

 

Webinars NEW website

Why should you watch this webinar?

Our industry experts, Ted Lorenzen, David Lenz and Roz Bowman, will help you learn more about how to use response curves to better understand the cause and effect relationship between your marketing activities and business performance. Topics will include:

  • The danger of average ROI and why you need curves
  • Some maths
    • What are the different types of response curves
    • C-shaped vs. S-shaped curves – why you might get each
  • Why curves are complicated
  • Stories from the real world – some ways things can go wrong
  • Q&A session

 

 

What will you learn?

Response curves are arguably the most important output from marketing mix modelling – they define the relationship between the level of investment in different marketing activities and the lift in response that can be expected. Crucially this includes quantifying the incremental impact of the next £/$/€ of investment at different levels of spend.

By using them, businesses can forecast, simulate different scenarios and optimise budgeting decisions - helping gain a deeper understanding of where when and how to spend the marketing budget, as well as how to set it.

In this webinar, you'll learn how using response curves can help you optimize your budget allocation, make long-term plans and better understand the cause-and-effect relationship between your marketing activities.

Speakers

 

 

Speakers

5-Apr-05-2025-11-52-52-9397-AM

Phil Spencer
Host
General Manager, UK ScanmarQED

19-2

Ted Lorenzen
Speaker
Director of Data Science ScanmarQED

18-2

David Lenz
Speaker
Director of Consulting Services ScanmarQED

20-1

Roz Bowman
Speaker
Senior Consultant, UK ScanmarQED