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| Section | Weight | Objectives |
|---|---|---|
| Einstein for Marketing Cloud | 22.5% | |
| Interaction Studio | ||
| Social Studio | ||
| Measuring and Reporting on Cross-Channel Marketing Performance | - Data visualization - KPI selection - Dashboarding | |
| Journey Orchestration | ||
| Triggers | ||
| Leveraging Customer Data and Analytics for Personalization | - Segmentation - Predictive modeling - Data management | |
| Integrating and Optimizing Marketing Campaigns Across Channels | - API integrations - Campaign automation - Data synchronization | |
| Mobile (SMS/Push) | ||
| Cross-Channel Marketing Strategies and Tactics | - Multi-touch attribution - Campaign planning - Channel selection | |
| Ad Studio | ||
| Distributed Marketing | ||
| Aligning Cross-Channel Marketing with Business Objectives | - Stakeholder management - Change management - Goal setting |
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NEW QUESTION # 64
What is prerequisite for email/web recommendations: select 2
Answer: A,B
Explanation:
Understanding Email/Web Recommendations:
* Purpose:Recommendations (in email or on a website) use data about customer behavior and product information to suggest products or content that a customer is likely to be interested in.
Prerequisites:
* A. Collect Tracking Code:This is crucial. The Collect Tracking Code is a JavaScript snippet that you place on your website. It tracks user behavior (page views, product views, purchases, etc.) and sends this data to Marketing Cloud. This behavioral data is essential for generating personalized recommendations.
* B. Catalog:A catalog is a structured file (usually CSV or XML) that contains information about your products or content (e.g., product ID, name, description, price, image URL). The catalog is imported into Marketing Cloud and provides the inventory from which recommendations are drawn.
Why A and B Are Essential:
* Data-Driven Recommendations:Recommendations rely on data. The Collect Tracking Code provides behavioral data, and the catalog provides product data.
* Personalization:Without these data sources, recommendations would be generic and not personalized to individual customers.
NEW QUESTION # 65
Difference between inbox message and in app message.
Answer: A
Explanation:
Inbox Messages:
* Storage:Inbox messages are delivered to and stored within the app's inbox (a dedicated section within the app).
* Persistence:They remain in the inbox until the user deletes them or the message expires.
* Purpose:Suitable for messages that users might want to refer back to, like promotions, updates, or transactional information.
In-App Messages:
* Display:In-app messages are displayed as pop-ups or notificationswhile the user is actively using the app.
* Transience:They are typically displayed only once (or until dismissed) and are not stored for later viewing.
* Purpose:Ideal for contextual messages, onboarding tips, or urgent alerts that require immediate attention.
Key Differences Summarized:
* Storage:Inbox messages are stored; in-app messages are not.
* Display:Inbox messages are viewed in the app's inbox; in-app messages are displayed as overlays during app use.
* Persistence:Inbox messages persist; in-app messages are transient.
Why Other Options Are Incorrect:
* B:The opposite is true. Inbox messages persist, while in-app messages are usually displayed only once.
* C:Both inbox and in-app messages can be used on both iOS and Android platforms.
NEW QUESTION # 66
What are three out of-the-box product capabilities of Interaction Studio? 1m 13s
Answer: A,B,D
NEW QUESTION # 67
Which three types of recommendations are supported by Einstein Web Recommendations?
Choose 3 answers
Answer: B,C,D
NEW QUESTION # 68
Which three factors are analyzed for each subject line by Einstein Copy Insights?
Answer: A,B,D
NEW QUESTION # 69
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