From the course: Marketing Attribution and Mix Modeling
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Position-based models and assigning credit
From the course: Marketing Attribution and Mix Modeling
Position-based models and assigning credit
- [Instructor] As soon as an advertiser gets more sophisticated about attribution, they tend to consider a position-based approach. Last click, first click, and linear models can sometimes be a bit too simple. So by manually assigning weights based on position, it's possible to customize your model to your business's needs. Let's take this example. If a customer read your blog a few weeks ago and signed up for the email list, then an email came through and they clicked on that and then came to the website, but decided not to buy straight away. Then they saw an ad a few days later, clicked on the ad and purchased. Then under last click, 100% of the credit would go to the ad. We know that that's not the full story, because the email and the blog also deserves some of that credit. Under position-based, you can choose how that credit gets assigned. So, for example, you can give more credit to the first and last…
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Contents
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Last-click attribution: The default model1m 54s
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(Locked)
Time decay and conversion lags2m 42s
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Linear attribution: Treating all touches equally2m 14s
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First-click models: From awareness to acquisition2m 41s
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Position-based models and assigning credit2m 14s
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Data-driven attribution and machine learning2m 4s
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(Locked)
Click windows and view-through conversions3m 37s
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