ChannelAttribution Pro is a machine learning library for data-driven marketing attribution and budget allocation from customer-journey data. It is an R package and a Python library available for the main Operative Systems (Linux, Windows and Mac). We can also provide a preconfigured Docker container with RStudio or Jupyter and ChannelAttribution Pro installed.
ChannelAttribution Pro is installed locally and all the elaborations are made on the local system where it is installed. It means that no data are transferred outside your organization.
ChannelAttribution Pro is the professional version of ChannelAttribution which improves ChannelAttribution by offering the following extra features:
|Next best action with Markov model|
|Buget allocation with Markov model|
|Transaction-level attribution with heuristic models, Markov model and Shapley value|
|Real-time attribution with Markov model and Shapley value|
|Markov model and Shapley value with odds|
|Combine results from Media-mix Model and Multi-touch attribution models at path-level|
|Out-of-sample validation algorithm for choosing the best Markov model order|
|Simplified Shapley value formula|
|Read customer journeys directly from CSV files|
|Student / Researcher|