@champ is this something you could help with?

@AlperKaanY17044661 

⚠ Below an answer from a GenAI-powered tool. All generated answers require validation against the provided references.

Adaptive models in Pega are used to predict customer behavior by capturing and analyzing customer responses in real time. They are typically used in a decision strategy that contains an Adaptive Model component. For each proposition referenced in the strategy, the system creates one adaptive model.

In your case, if you're not receiving a response when running the campaign, it could be due to a few reasons:

1. The adaptive models might not be correctly configured to capture negative responses. This was the issue in reference 1, where the solution was to change a Dynamic System Setting (DSS) to adjust the time the Adaptive Models wait for a response.
2. The adaptive models might not be correctly trained. As per reference 2, you can train your adaptive models with historical or sample customer responses to improve their accuracy.
3. The adaptive models might not be correctly created. As per reference 3, you need to correctly set up the positive and negative outcomes, choose the main priority of the model, and add a list of candidate predictors.
4. There might be technical issues preventing the adaptive models from capturing responses. As per reference 10, you can troubleshoot this by checking the number of updated models when you click "Show last responses" on the Model Management landing page.

Remember to monitor your adaptive models regularly to ensure their accuracy and performance, as suggested in reference 6

Negative Responses are not Captured in Adaptive model

Training adaptive models

Creating an adaptive model

Adaptive models monitoring > When to use adaptive models monitoring

Adaptive Decision Manager does not capture responses for adaptive models