Ep.1 - Advanced Marketing Analytics with Marketing Mix Modeling: Science behind Marketing Investment

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  • เผยแพร่เมื่อ 2 ก.ค. 2024
  • There is science behind advertising investment, and this science is called "Marketing Mix Modeling" (MMM).
    It is a Marketing Analytics Framework that relies on the application of advanced statistical methods (econometrics) on historical data to understand the impact of each individual sales driver, measure ROI and predict future performance.
    Learn about the world of Marketing Mix Modeling, how it fits into your entire marketing strategy and how it has become an essential tool for data-driven decision making.
    Outline of episode 1:
    0:00 Intro
    2:34 What are Marketing Mix Models
    3:45 MTA vs MMM
    7:31 What to use Marketing Mix Models for
    9:22 What are the factors to consider for these analyzes
    11:42 The MMM analysis process
    15:01 How much data do we need?
    15:45 How to structure the data
    17:00 Intro to AdStock and Diminishing Returns
    20:00 Learning algorithms
    21:45 Analysis output: Measurement
    25:18 Final notes
    TEMPLATE: bit.ly/excelmmm
    Join the Marketing Mix Modelers Community: https: // groups/marke ...
    Find out on:
    Get started with MMM : bit.ly/3C0YEfT
    Growth Agency Website: bit.ly/HybridaYT
    Linkedin: https: //www.linkedin.com/in/gabriele -...
    Source: www.saxifrage.xyz/post/econom...

ความคิดเห็น • 11

  • @ThiagoFernandes-sk3nk
    @ThiagoFernandes-sk3nk 20 วันที่ผ่านมา

    Is there a video where you explain how to achieve de MMM decomposition into different variables? Your videos are amazing!

    • @cassandra4533
      @cassandra4533  18 วันที่ผ่านมา +1

      Unfortunately we don't have a decomposition over time tutorial yet.
      but
      If you add new columns next to your dataset and multiply each transformed media variable (after adstock and diminishing returns) by its coefficient (from the linear regression) you can get the contribution of each variable and analyze it in a decomposition chart

  • @kostaeliseev9960
    @kostaeliseev9960 ปีที่แล้ว +1

    you are a ninja! thanks!

  • @dotndotful
    @dotndotful 10 หลายเดือนก่อน +1

    Might be a stupid quesion but how do you choose alpha & beta values for the transformation?

    • @cassandra4533
      @cassandra4533  10 หลายเดือนก่อน

      Hello! That's the one of the trickiest parts. In traditional MMMs analysts would just try and try again until they hit a combination they would like. In Cassandra we apply Machine Learning to automatically find the optimal hyperparameters while addressing for the otherwise present human bias.

  • @saumyasurendran6928
    @saumyasurendran6928 11 หลายเดือนก่อน +2

    Hey can u suggest any book to study MMM in detail?

    • @cassandra4533
      @cassandra4533  11 หลายเดือนก่อน +1

      Hey there, unfortunately we don't have a specific book to suggest.
      There's are quite a few papers and documentations available online, we'd suggest to do some researches and start from there

  • @adityamankar8910
    @adityamankar8910 2 หลายเดือนก่อน

    Hello
    I need to connect with you regarding a project I am working upon. How to contact you?

    • @cassandra4533
      @cassandra4533  2 หลายเดือนก่อน

      hello, please reach out on linkedin: www.linkedin.com/in/gabriele-franco-hybrida/

    • @adityamankar8910
      @adityamankar8910 2 หลายเดือนก่อน

      @@cassandra4533 please accept the request