Learn how to calculate customer lifetime value, build predictive CLV models, and use CLV to make smarter decisions about acquisition spend, retention investment, and audience targeting.
Learn how to design and run incrementality tests that prove whether your marketing campaigns are actually driving results—or just taking credit for organic conversions.
Learn the fundamentals of data attribution, from basic concepts to advanced multi-touch attribution models. Discover how to track and optimize your marketing campaigns effectively.
Understand the differences between marketing mix modeling (MMM) and multi-touch attribution (MTA), when each approach works best, and how unified measurement combines both.
Uncover the hidden limitations of Google Analytics attribution models—data sampling, cross-device gaps, and walled-garden bias—and learn what to do about it.
Explore every major multi-touch attribution model—linear, time-decay, position-based, and data-driven—so you can pick the right framework for measuring marketing ROI.
