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++.


Reference manual

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install.packages("ChannelAttribution")

2.2.5 by Davide Altomare, 4 months ago


https://channelattribution.io


Browse source code at https://github.com/cran/ChannelAttribution


Authors: Davide Altomare [cre, aut] , David Loris [aut]


Documentation:   PDF Manual  


GPL-3 | file LICENSE license


Imports Rcpp

Suggests curl, jsonlite

Linking to Rcpp, RcppArmadillo


Imported by ChannelAttributionApp.


See at CRAN