Hello Team,
We have a requirement to create segment recommendations in Adobe Experience Platform using Machine Learning and AI capabilities. AEP should predict and provide similar segment recommendations for specified targets, such as churn reduction, re-purchase likelihood, and cross-sell opportunities. Has anyone worked on a similar requirement before?
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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}}
Thank you for the response @DavidRo23
I see that data science workspace option is not available anymore. May I know is there a workaround for churn and re purchase likely capabilities.
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