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Dig into more about MMMs and machine learning.
Deepen your understanding of marketing mix modeling, its history and context, and using our MMM to achieve your unique goals from our team of industry experts.
What is marketing mix modeling (MMM)?
How does a marketing mix model work?
Why is marketing mix modeling important for marketers?
Is marketing mix modeling suitable for all business types?
What are the limitations of marketing mix modeling?
How long does it take to see results from marketing mix modeling implementation?
Library:
October 31, 2024
You’ve seen in our other guides that there are multiple ways to measure performance in the Prescient dashboard. Using the Optimizer is the best route for tracking if you took … Continued
October 15, 2024
Driving more revenue from your paid media efforts: it’s everyone’s goal in the paid marketing world. We hear you, and the Prescient dashboard can help with that. Whether you’re new … Continued
October 11, 2024
Marketing mix modeling (MMM) tools are a lot like professional knives—if you know what you’re doing, you’re going to get a lot done with them and the polish will be … Continued
January 5, 2024
An AI-driven attribution model uses artificial intelligence to dynamically analyze and assign credit to various marketing touchpoints.
January 4, 2024
ML is used in various applications including predictive analytics and complex decision-making but it is not a model.
January 2, 2024
Within Google Ads, Google lets you choose which attribution model to use for each conversion action.
December 31, 2023
The current common solution involves using attribution models, like multi-touch attribution.
December 29, 2023
There are several disadvantages to attribution. Here’s what you need to know about them.
December 28, 2023
The main problem with attribution is the difficulty in accurately assigning credit to the right touchpoints.