Propensity model is not scoring all the records existed in AEP

[Abhishekch20]

Hi,

I have created the propensity model to score the churn of the records, and have set the weekly timeline for scoring. But after two weeks of successful run, I find that model has scored only 25% of the total records.  I have checked the included datasets, each of them have more records. Is it the expected behavior? or will the model include the entire database slowly and in few weeks all the records will be scored?

[jayakrishnaaparthasarathy · Accepted solution]

Hi @Abhishekch20  - My understanding is that on a "Define goal" section we will be filtering the profiles based on the certain predictive condition with specific "Timeframe". So, this might be one of the reason that it could utilize only the necessary records to process the churn prediction. Moreover, this is more on futuristic event that will be evaluated against your profiles as part of this modelling. Hope, this helps you. 

Thank you,
Jayakrishnaa P.

[RiteshY18]

@Abhishekch20  can you check the dataset and Identity map setting below 

https://experienceleague.adobe.com/en/docs/experience-platform/intelligent-services/customer-ai/user...