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:	2.0.5
Imports:	Rcpp
LinkingTo:	Rcpp, RcppArmadillo
Published:	2022-02-05
Author:	Davide Altomare [cre, aut], David Loris [aut]
Maintainer:	Davide Altomare <info at channelattribution.io>
License:	GPL-3 | file LICENSE
Copyright:	see file COPYRIGHTS
URL:	https://channelattribution.io
NeedsCompilation:	yes
CRAN checks:	ChannelAttribution results

Documentation:

Reference manual:

ChannelAttribution.pdf

Downloads:

Package source:	ChannelAttribution_2.0.5.tar.gz
Windows binaries:	r-devel: ChannelAttribution_2.0.5.zip, r-release: ChannelAttribution_2.0.5.zip, r-oldrel: ChannelAttribution_2.0.5.zip
macOS binaries:	r-release (arm64): ChannelAttribution_2.0.5.tgz, r-oldrel (arm64): ChannelAttribution_2.0.5.tgz, r-release (x86_64): ChannelAttribution_2.0.5.tgz, r-oldrel (x86_64): ChannelAttribution_2.0.5.tgz
Old sources:	ChannelAttribution archive

Reverse dependencies:

Reverse imports:

ChannelAttributionApp

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