Marketing mix modeling, also referred to as media mix modeling, is a statistical analysis technique used in marketing to evaluate the impact of all different types of advertising and marketing channels and their influence on a company’s sales. An MMM can help determine the optimal allocation of the marketing budget across and within channels.
You may also like:
What is the AI-driven attribution model?
An AI-driven attribution model uses artificial intelligence to dynamically analyze and assign credit to various marketing touchpoints.
What type of model is machine learning?
ML is used in various applications including predictive analytics and complex decision-making but it is not a model.
What is Google’s attribution model?
Within Google Ads, Google lets you choose which attribution model to use for each conversion action.
[gravityform id="1" title="true" description="true" ajax="true"]
Manage Consent
This website uses cookies to ensure you get the best experience on our website.
Functional Always active
The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
Preferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
Statistics
The technical storage or access that is used exclusively for statistical purposes.
The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
Marketing
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.