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The lives of data engineers and data scientists would be so much easier if attribution were as simple as a user visiting your website or mobile app directly and buying something.
The reality of the modern customer journey is that there are often many digital touchpoints that lead to conversion. Even the simple use case of involvement in multiple campaigns, as in the diagram below, makes both data collection and modeling challenging.
Luckily, modern data tooling makes it easier than ever before to build complex attribution models. In this deep-dive guide, we walk you through the architecture below to show how we used RudderStack, dbt and Amazon SageMaker to achieve robust, multi-touch attribution modeling in our data warehouse.
Have thoughts or questions about multi-touch attribution? Let's chat! Reply to this email or Book a Free Demo
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