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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Ad Studio | 10% | - Paid media integration with Marketing Cloud - Ad Studio capabilities and campaign alignment |
| Topic 2: Mobile Studio | 13% | - Mobile messaging configuration and best practices - MobilePush and WhatsApp integration - MobileConnect and GroupConnect features |
| Topic 3: Social Studio | 12% | - Identity unification and data management - Social customer service and engagement strategies - Social Studio functionality and configuration |
| Topic 4: Distributed Marketing | 2% | - Centralized vs localized marketing management - Distributed campaign features and sending options |
| Topic 5: Journey Orchestration | 15% | - Reporting and analytics for journeys - Journey design and best practices - Integration with Datorama and Google Analytics |
| Topic 6: Interaction Studio | 10% | - Cross-channel experience optimization - Real-time personalization and interaction management |
| Topic 7: Einstein for Marketing Cloud | 23% | - Implement and configure Einstein capabilities
|
| Topic 8: Cross-Channel Strategy and Measurement | 15% | - Multi-touch attribution and KPIs - Performance reporting and optimization - Channel selection and campaign planning |
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NEW QUESTION # 62
What is true about Einstein engagement frequency (EEF). Select 3
Answer: A,C,D
Explanation:
Understanding Einstein Engagement Frequency (EEF):
Purpose: EEF is a Marketing Cloud Einstein feature that helps optimize email send frequency for each subscriber. It aims to reduce unsubscribes and improve engagement by sending the right number of emails to each person.
How it Works: EEF analyzes historical engagement data (opens, clicks, etc.) to predict the optimal send frequency for each subscriber.
Correct Statements:
A: EEF uses only commercial send data not transactional: EEF focuses on optimizing marketing email frequency. Transactional emails (order confirmations, password resets) are typically triggered by specific events and are not part of EEF's optimization.
B: The model uses data available only in your account: EEF's predictions are based on the engagement data within your specific Marketing Cloud account. It doesn't use data from other accounts or external sources.
C: Used to determine the correct no of mails to be sent so that there are fewer unsubscribes due to email fatigue: This is the core purpose of EEF. It aims to find the "sweet spot" for each subscriber - enough emails to keep them engaged, but not so many that they unsubscribe due to email fatigue.
Incorrect Statement:
D: It uses the last 90 days of engagement data: EEF uses the last 28 days of engagement data, not 90.
In Summary:
EEF uses your account's commercial email send data from the last 28 days to determine the optimal email frequency for each subscriber, reducing unsubscribes. A, B, and C are correct.
NEW QUESTION # 63
What is the difference between an in-app message and an inbox message?
Answer: D
NEW QUESTION # 64
What is true about Einstein engagement frequency (EEF). Select 3
Answer: B,C,D
NEW QUESTION # 65
If a subscriber, who joined 2 weeks ago, clicks the main CTA (download mobile app), send the subscriber email content on the top five mobile app features. If not, send original email. 50K max daily audience. Series of 3 emails. Based on the scenario above, what is the best solution to automate this daily campaign?
Answer: A,B,D
NEW QUESTION # 66
How often are the Einstein Engagement Scoring models updated?
Answer: A
NEW QUESTION # 67
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