What is a key consideration for using Einstein Recommendation Builder in Salesforce?

The ability for recommendations to be based on standard or custom objects is essential when using the Einstein Recommendation Builder in Salesforce. This flexibility allows organizations to tailor recommendations specifically to their unique business processes and data models. By utilizing both standard and custom objects, businesses can ensure that the recommendations generated are relevant and aligned with their specific customer interactions, product offerings, or service features.

This adaptability in utilizing different object types enhances the effectiveness of the recommendations, ensuring that they reflect a comprehensive understanding of the organization's structure and needs. Users can leverage this capability to create personalized experiences that drive engagement and conversions.

The other options do not capture this level of flexibility and relevance that is critical in harnessing the power of Einstein Recommendation Builder effectively. For instance, audience targeting, priority ordering, and transferring recommendations are also functional aspects, but they do not address the foundational capability of leveraging the objects upon which recommendations can be built.