Hi @mustufam5967803
I have some experience using Data Science Models for churn and re purchase likely capabilities. We have created custom schemas and field groups to house these scores in event data - example of the format below
TENANTID
Object
---------modelAttributes
-----------------Object
------------------------regionalAttributes
-------------------------------Object
--------------------------------------------decile
--------------------------------------------Object
-------------------------------------------------------division
-------------------------------------------------------{{type}}
-------------------------------------------------------national
-------------------------------------------------------{{type}}
-------------------------------------------------------regional
-------------------------------------------------------{{type}}
--------------------------------------------percentRank
--------------------------------------------Object
--------------------------------------------percentile
--------------------------------------------Object
----------------------classification
---------------------------------{{type}}
----------------------modelName
---------------------------------{{type}}
----------------------prefix
---------------------------------{{type}}
----------------------score
---------------------------------{{type}}
---------------------segment
---------------------------------{{type}}