ChannelAttribution: Markov Model for the Online Multi-Channel Attribution Problem

Advertisers use a variety of online marketing channels to reach consumers and they want to know the degree each channel contributes to their marketing success. This is called the online multi-channel attribution problem. This package contains a probabilistic algorithm for the attribution problem. The model uses a k-order Markov representation to identify structural correlations in the customer journey data. The package also contains three heuristic algorithms (first-touch, last-touch and linear-touch approach) for the same problem. The algorithms are implemented in C++.

Package details

AuthorDavide Altomare, David Loris
MaintainerDavide Altomare <[email protected]>
LicenseGPL (>= 2)
Version1.16
URL http://www.slideshare.net/adavide1982/markov-model-for-the-multichannel-attribution-problem http://www.lunametrics.com/blog/2016/06/30/marketing-channel-attribution-markov-models-r/ http://analyzecore.com/2016/08/03/attribution-model-r-part-1/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ChannelAttribution")

Try the ChannelAttribution package in your browser

Any scripts or data that you put into this service are public.

ChannelAttribution documentation built on May 2, 2019, 12:40 p.m.