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Data driven multi-touch attribution modeling with Markov chains

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Multi-touch Attribution with Markov Chains

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In-platform marketing dashboards often provide heuristic statistics on conversion attribution using models such as first touch or last touch. Some such as Facebook or Google provide "data-driven" multi-touch attribution models. However, marketing teams may find it difficult to import touchpoint interactions from other channels into these platforms to get an accurate multi-touch attribution report. More commonly touchpoints are streamed into a centralized data warehouse from a variety of marketing platforms. This package aims to provide multi-touch attribution for marketing teams which have their aggregated touchpoint data in one data warehouse.

Python implementation of Mapping the Customer Journey (Andrel, Becker, Wangenhein, Schumann; 2016)

This package has taken inspriation from the R package ChannelAttribution by David Altomare and David Loris.

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