Marketing Mix Modelling implementation | A real MMM case study from an expert data analyst

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  • เผยแพร่เมื่อ 29 ส.ค. 2024
  • In this video, Charlotta Lundberg from renowned marketing intelligence agency Nepa will be diving deeper into MMM and actually presenting an MMM case study that they did with a client so you can get a better idea of the outcomes of MMM and how it might be applicable to your business.

ความคิดเห็น • 19

  • @nicholasbehnke
    @nicholasbehnke ปีที่แล้ว +6

    You should do a tool deep dive with a demo account or give users a dashboard with demo accounts

  • @JL-iw5kx
    @JL-iw5kx ปีที่แล้ว +7

    Would it be possible to turn down or eliminate the background music?

    • @WeAreFunnel
      @WeAreFunnel  ปีที่แล้ว

      Thanks for the feedback! We'll make sure to lower the sound in future videos 🙂

  • @MarketHustle
    @MarketHustle 5 หลายเดือนก่อน

    This is SOLID 🎉

    • @WeAreFunnel
      @WeAreFunnel  5 หลายเดือนก่อน

      Glad you like it Zaryn! Thanks for the feedback 💥

  • @frrrrrra
    @frrrrrra 10 หลายเดือนก่อน +1

    Great video! You mention that MMM is not as sensitive to regulatory changes, such as GDPR, as attribution model.
    I do not understand, however, how this is a pro. I believe that GDPR can have a strong influence on sales, for example, so shouldn't the model take those effects into consideration instead of dismissing them?

    • @88DJYello
      @88DJYello หลายเดือนก่อน

      Exactly! I was quite confused by that too seeing as economic data (eg gdpr) is very useful in most models I’ve built. Sensitivity always depends on the depend variable in question and how it relates to gdpr for example. Maybe I’ve completely missed her point

    • @frrrrrra
      @frrrrrra หลายเดือนก่อน

      @@88DJYello they probably meant that it is an effect that despite being generally important it cannot be affected. But if the logic is still that of dependent/independent variables they should still explain how to deal with it

    • @88DJYello
      @88DJYello หลายเดือนก่อน

      @@frrrrrraagree. Confusing statement but useful content nonetheless

  • @nicolepadua7647
    @nicolepadua7647 11 หลายเดือนก่อน +1

    At first, she said they estimated an increase in SALES by 15% and at the end she said they increased STORE VISITORS by 17% and that it exceeded the estimated impact of 15%. That doesn't sound right.

    • @WeAreFunnel
      @WeAreFunnel  11 หลายเดือนก่อน

      How so?🙂

    • @misterpopollo
      @misterpopollo 5 หลายเดือนก่อน

      it's 2 different KPIs, having an increase of visitors doesn't necessarly means +15% in sales or more, actually there's a good chance that it's less if you consider the conversion rate
      @@WeAreFunnel

  • @rudroroy1054
    @rudroroy1054 7 หลายเดือนก่อน

    Can someone elaborate if MMM is a statistical model or just a marketing approach model? Do we use Machine learning models in MMM?

  • @nanlinr
    @nanlinr ปีที่แล้ว

    Get your data right..4% increase from 41% to 41% channel spend?

  • @Sergio-td7mn
    @Sergio-td7mn 11 หลายเดือนก่อน +2

    11 mins advertising. Useless

  • @huanchenli4137
    @huanchenli4137 ปีที่แล้ว +9

    honestly, this video is useless from a data scientist view...

  • @pranatiswain9013
    @pranatiswain9013 11 หลายเดือนก่อน

    Please remove the background music, its very disturbing.