Introduction to Attribution and Mix Modeling
Offered By: LinkedIn Learning
Course Description
Overview
Discover how to analyze marketing data with models. Learn about some of the most common attribution models, explore best practices for using different models, and more.
Syllabus
Introduction
- Welcome
- What is multi-touch attribution (MTA)?
- Why is attribution important?
- Last click: The one everyone knows
- First click and linear models
- Rule-based models
- Custom models
- Analysis: Upper funnel and pathing
- Data-driven models
- Overview of marketing mix modeling (MMM)
- When to use MMM or MTA
- Holistic view: Unified attribution and MMM
- TV and search, frequency capping, and budget optimization
- Challenges and considerations
- Software and skills
- Data quality basics: Campaign tagging and data prep
- Deploy and operationalize
- Next steps
Taught by
Corey Koberg
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