ChannelAttributionPro
- transaction-level attribution with Markov models;
- combined attribution performed by a multi-touch model and a media-mix model at transaction level;
- real-time attribution with Markov model. You can train the model once and than use it for performing attribution on new customer-journeys without retraining;
- Markov model with odds that showed the best performance in terms of generated revenue with respect the main adopted attribution methods;
- out-of-sample validation algorithm for choosing the best Markov model order;
- multiprocessing for a faster execution of large sized attribution problems;
- preconfigured Docker containers with RStudio or Jupyter and ChannelAttributionPro installed.
Deepen the features of ChannelAttributionPro reading our Handbook.
Read out Paper about marketing attribution and budget allocation and see how Markov model outperforms the most used attribution models.
Try ChannelAttributionPro for free!