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ChannelAttribution (version 2.2.2)

Markov Model for Online Multi-Channel Attribution

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 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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Version

Install

install.packages('ChannelAttribution')

Monthly Downloads

1,131

Version

2.2.2

License

GPL-3 | file LICENSE

Maintainer

Davide Altomare

Last Published

November 2nd, 2025

Functions in ChannelAttribution (2.2.2)

markov_model

Markov model for the online attribution problem.
install_pro

Install ChannelAttributionPro binary tailored to your OS/arch/R
ChannelAttribution-package

Markov Model for Online Multi-Channel Attribution
Data

Customer journeys data.
auto_markov_model

Automatic Markov Model.
heuristic_models

Heuristic models for the online attribution problem.
choose_order

Choose order for Markov model.
transition_matrix

Transition matrix.