This is part of the write up on the extension: including RFM, and builds most
financially profitable (with given statistical confidence) forecasting models. Analysis of millions of observations on a regular PC takes minutes to
hours. Free version runs on Windows and is limited by 100K observations.
LifeStyle Targeting operator allows
direct financial results forecasting compared to control group/average from raw
transactions and questionnaire/impact data.
How is this extension incorporated in the process to build the forecasting model?
This is my pre-processed train data set to be retrieved for the process:

This is my best guess process with retrieved data set and LifeStyle extension:

This is the template for a process clustering model.

I need help understanding how to position the extension to work in this process. Thank you for your time.
Tony