Welcome to Part 2 of our mini-series on Marketing Measurement! In this episode, we’re getting into Data-Driven Multi-Touch Attribution (MTA), an advanced method for evaluating the effectiveness of various marketing touchpoints a customer interacts with before making a purchase.
We’ll break down how MTA works, its key benefits, and how it differs from traditional models like last-click attribution. You’ll also learn about the limitations of static multi-touch attribution and why data-driven models offer a more dynamic and accurate way to optimize your marketing strategies.
Be sure to subscribe for parts 3 and 4, where we’ll cover Incrementality Testing and Triangulation. 👉 @WeAreFunnel
TIMESTAMPS
00:00 - 00:38 - What is Data-Driven MTA? (Data-Driven Multi-Touch Attribution Explained)
00:39 - 00:58 - 2 Key Concepts of MTA
00:59 - 1:37 - How Does MTA Work?
1:38 - 2:05 - What Are the Problems with Last-Click Attribution?
2:06 - 2:32 - Limitations of Static Multi-Touch Attribution
2:33 - 3:06 - Why Use Data-Driven Attribution?
3:07 - 3:39 - Benefits of Data-Driven MTA
3:40 - 4:35 - Limitations and Practical Considerations for Data-Driven MTA
4:36 - 5:20 - The Importance of MTA
STAY TUNED:👇
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