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Markov Model for Online Multi-Channel Attribution

Project description

Python library ChannelAttribution

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. ChannelAttribution implements a probabilistic algorithm for the attribution problem. The model uses a k-order Markov representation to identify structural correlations in the customer journey data.

PyPi installation

Note! Only Python3 is supported! Note! Only Python3 is supported! Installation on Windows requires Microsoft Visual C++ 14.0 or greater. (https://visualstudio.microsoft.com/it/downloads/)

pip install --upgrade setuptools
pip install Cython
pip install ChannelAttribution

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Files for ChannelAttribution, version 2.0.10
Filename, size File type Python version Upload date Hashes
Filename, size ChannelAttribution-2.0.10.tar.gz (738.0 kB) File type Source Python version None Upload date Hashes View

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