Скачать или смотреть Attribution Modeling with R using Adobe Clickstream Datafeeds and Classifications

In this video demonstration- I am simply showing the scripts being run and a few of the models that are shown for attribution modeling. The models and exercises are based off of the scripts on datafeedtoolbox.com. Links are below and various models are shown like First touch, Last Touch, U-shaped and also some attribution theory models via Game Theory and Shapley. There is also a markov chain analysis which is one of the most popular models used for attribution modeling.

Things you need:
A clickstream datafeed setup with datafeed files and extracted into your working directory
You need to have your headers file to know where your headers are supposed to be for your clickstream datafeed
You need an admin account with Adobe Analytics to accomplish the above
You need the R Scripts from the links below - and you need to have R Studio and Spark and Dplyr packages installed and running locally to process all of the data. To set all of this up- I've provided links in the video and some explanation going over it all.

Setting up Spark with R Studio:
http://datafeedtoolbox.com/how-to-set...

Setting up your datafeeds:
http://datafeedtoolbox.com/how-to-set...

How to use classifications with clickstream datafeeds:
http://datafeedtoolbox.com/how-to-use...

Visitor Level Aggregations Using R and Adobe Datafeeds:
http://datafeedtoolbox.com/visitor-le...

Multi-touch attribution modeling:
http://datafeedtoolbox.com/multi-touc...

Attribution Theory- Cross Device with Spark and R
http://datafeedtoolbox.com/attributio...

Attribution Theory: Two Best Models for Algorythmic Marketing - Markov-Chain and Shapley-Value Methods
http://datafeedtoolbox.com/attributio...


Big Thanks to Trevor Paulsen! Great guy and very helpful. My apologies to anyone as this video doesn't do him the best justice for his work, but I wanted to contribute and share it because it was very exciting and fun to accomplish.

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