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++.

Version: 1.17
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo
Published: 2020-04-06
Author: Davide Altomare, David Loris
Maintainer: Davide Altomare <davide.altomare at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: ChannelAttribution results


Reference manual: ChannelAttribution.pdf
Package source: ChannelAttribution_1.17.tar.gz
Windows binaries: r-prerelease:, r-release:, r-oldrel:
macOS binaries: r-prerelease: ChannelAttribution_1.17.tgz, r-release: ChannelAttribution_1.17.tgz, r-oldrel: ChannelAttribution_1.16.tgz
Old sources: ChannelAttribution archive


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