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++.

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Description file content

Package
ChannelAttribution
Type
Package
Title
Markov Model for the Online Multi-Channel Attribution Problem
Version
1.14
Date
2018-08-20
Author
Davide Altomare, David Loris
Maintainer
Davide Altomare
Description
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++.
License
GPL (>= 2)
URL
Imports
Rcpp (>= 0.11.4)
LinkingTo
Rcpp, RcppArmadillo
NeedsCompilation
yes
Packaged
2018-08-20 14:59:23 UTC; a458057
Repository
CRAN
Date/Publication
2018-08-20 15:30:03 UTC

install.packages('ChannelAttribution')

1.14

a month ago

Davide Altomare

GPL (>= 2)

Imports

Rcpp (>= 0.11.4)

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