ChannelAttribution: Markov Model for Online Multi-Channel Attribution

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 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++.

Version: 2.0.2
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo
Published: 2020-07-27
Author: Davide Altomare, David Loris
Maintainer: Davide Altomare <info at>
License: GPL-3 | file LICENSE
Copyright: see file COPYRIGHTS
NeedsCompilation: yes
SystemRequirements: GNU make
CRAN checks: ChannelAttribution results


Reference manual: ChannelAttribution.pdf
Package source: ChannelAttribution_2.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: ChannelAttribution_2.0.2.tgz, r-oldrel: ChannelAttribution_2.0.2.tgz
Old sources: ChannelAttribution archive

Reverse dependencies:

Reverse imports: ChannelAttributionApp


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