Analytics
This section covers how to measure and understand how Salesforce Personalization is performing: pipeline health, what each decision returned, attribution back to outcomes, experiment results, and the data model underneath all of it. It’s for anyone who needs to monitor personalization after go-live — admins troubleshooting a decision, and analysts or marketers checking impact and experiment results.
Work through the sub-sections below in order, or jump to the one you need:
Pipeline Intelligence
Install and open the Pipeline Intelligence dashboard, and read its pipeline diagnostics.
Logs
Read the Personalization Log to see what each decision returned and how long each stage took.
Attribution
Deploy, configure and enable attribution so outcomes can be tied back to personalization.
Experimentation
Read experiment summaries to pick a winner, and troubleshoot experiments that look off.
DMO reference
Look up every analytics data model object Personalization creates — API name, key fields and purpose.
Discussion
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