Which approach supports the creation of a personalized guided experience in Salesforce?

The approach that supports the creation of a personalized guided experience in Salesforce is integrating Einstein Next Best Action with local actions. This method leverages the power of Salesforce’s artificial intelligence capabilities to analyze user data and provide tailored recommendations based on the specific context and needs of the user.

Einstein Next Best Action evaluates various factors, including past interactions, preferences, and real-time data to suggest the most suitable actions for users to take next. By integrating this intelligence with local actions, Salesforce allows organizations to create dynamic and user-specific experiences that can adjust based on individual user behavior and preferences, ultimately driving engagement and productivity.

Other options do not offer the same level of personalization. Using only standard objects in the model lacks the dynamism that personalized experiences require. A fixed layout for all users does not accommodate the diverse needs and preferences of different users, thus failing to create a personalized journey. Lastly, deploying custom Visualforce pages exclusively may limit the use of newer, more advanced features, reducing the potential for creating personalized experiences that dynamically adapt to user behavior.