Marketing Mix Modeling, Media Mix Modeling, Marketing Effectiveness, Experimentation, Causal Inference, Adstock, Marketing ROI, Statistics, Machine Learning, Marketing Attribution, Media Planning, Marketing Budget Optimization, Robyn, Multi touch Attribution, First Party Data, Privacy Proof Marketing Solutions.
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How many MMM models to build

Wondering how many MMM models to build?

Companies Are Usually Interested In Understanding Marketing Mix Across Multiple Markets. But They Might Not Perform Such Analysis Is Due To:
  • Limited budget
  • Time constraint's
  • Pareto principle -They have few markets on their radar becuase 80% of revenue is coming from 20% of markets.
Read our case study to know how we leveraged K means and PCA to narrow down the number of models to be built.

Impact

Through K means and PCA marketing segmentation method, the client was able to narrow down on key markets and decided to build the MMM models only for them.

This not only resulted in saved costs but it also helped the client on markets that really mattered.

Download The Full Case Study

    Also Read:

    How MMM helped identifying the most effective campaigns out of 300 social media campaigns.
    Marketing Mix Modeling, Media Mix Modeling, Marketing Effectiveness, Experimentation, Causal Inference, Adstock, Marketing ROI, Statistics, Machine Learning, Marketing Attribution, Media Planning, Marketing Budget Optimization, Robyn, Multi touch Attribution, First Party Data, Privacy Proof Marketing Solutions.

    Aryma Labs is your global partner to drive marketing efficiency in a privacy-first era. Aryma Labs leverages cutting edge Data Science solutions to solve marketing measurement and attribution problems. We are on a mission to help enterprises of all sizes adopt Marketing ROI Solutions for a privacy first era.

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