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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Proving Efficacy Of MMM Through Difference In Difference (DID)

The million-dollar questions on the mind of any client, post building the MMM models are:
  • How do we know the MMM model is working on the ground?
  • If it is working, can we causally prove it and quantify the efficacy of the MMM Model?
We applied a novel approach of Difference-in-Difference method to prove the efficacy of MMM on the ground.
Download the whitepaper below to know more.
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    Also Read:

    MMM's Granularity Problem Solved
    Identification Of Saturation Points In MMM Through Transfer Entropy
    Granger Causality - A Possible Feature Selection Method In MMM?
    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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