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Marketing Measurement for Beginners | Part 2 - Data-Driven MTA (Multi-Touch Attribution)

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:👇 LinkedIn:   / funnel-io   Instagram:   / funnel.io   TikTok:   / wearefunnel   Blog: https://funnel.io/blog #marketingmixmodeling #marketinganalytics #marketingmix #mmm #marketingmeasurement #dataanalytics #dataanalysis #marketingdata #marketingdigital #digitalmarketingtips #digitalmarketing