Marketing-Cloud-Advanced-Cross-Channel Exam Dumps : SalesforceMarketing Cloud Advanced Cross ChannelExam

Einstein Engagement Frequency (EEF) is a feature designed to optimize email engagement by determining the optimal frequency of emails to reduce unsubscribe rates due to email fatigue. It specifically uses data from:

• A: Commercial send data, excluding transactional data.
• B: Data available within your own account, ensuring the model is tailored to your specific audience and engagement patterns.
• C: A strategy to help marketers send the right amount of emails, avoiding over-sending that leads to subscriber fatigue and potential unsubscribes.

These insights help in crafting more effective email marketing strategies by understanding customer engagement and interaction patterns.

Social Studio unifies anonymous and known identities through:

• A. Deterministic matching: This method relies on definite identifiers (such as email addresses or phone numbers) to merge anonymous user data with known customer profiles, ensuring that interactions across different platforms and sessions are linked to the correct individual.

Social Studio unifies anonymous and known identities primarily through deterministic matching. This technique uses definite, unique identifiers (like email addresses, usernames, or phone numbers) that are associated with social media profiles and other customer data sources. By matching these identifiers, Social Studio can merge and maintain a unified view of a customer’s interactions across different platforms, effectively linking anonymous browsing data with known customer profiles. This process ensures that the insights derived from social interactions are accurately attributed to the correct individual, enhancing the relevance and personalization of marketing efforts.