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. It's 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 identifying 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++. For customizations or interest in other statistical methodologies for web data analysis please contact <davide.altomare@gmail.com>.

Version: 1.2
Imports: Rcpp (≥ 0.11.4)
LinkingTo: Rcpp, RcppArmadillo
Published: 2015-10-10
Author: Davide Altomare and David Loris
Maintainer: Davide Altomare <davide.altomare at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.slideshare.net/adavide1982/markov-model-for-the-multichannel-attribution-problem
NeedsCompilation: yes
CRAN checks: ChannelAttribution results

Downloads:

Reference manual: ChannelAttribution.pdf
Package source: ChannelAttribution_1.2.tar.gz
Windows binaries: r-devel: ChannelAttribution_1.2.zip, r-release: ChannelAttribution_1.2.zip, r-oldrel: ChannelAttribution_1.2.zip
OS X Snow Leopard binaries: r-release: not available, r-oldrel: not available
OS X Mavericks binaries: r-release: ChannelAttribution_1.2.tgz
Old sources: ChannelAttribution archive