Track Personalization Engagement

To harness the full potential of Personalization’s advanced machine learning algorithms and deliver highly relevant recommendations, it’s crucial to continuously capture and analyze user interactions, especially on personalized content. This ongoing data collection enables Personalization to refine its understanding of user preferences and behavior, ensuring that recommendations become increasingly accurate and hyper-personalized.

You can send detailed interaction data–such as product views, clicks, and engagements with personalized content–back to Data Cloud using the sendEvent function of the Salesforce Interactions SDK. Sending engagement data back to Personalization empowers the system to adapt in real-time, enhancing the overall user experience and driving higher engagement and conversion rates.

The following example shows you how to track views on a personalized product recommendation.

The following example shows you how to track clicks on a personalized product recommendation.

The following example shows you how to track views on a personalized non-product item.

The following example shows you how to track clicks on a personalized non-product item.