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| Section | Weight | Objectives |
|---|---|---|
| Cross Channel Strategy and Planning | 15% | - Identify target audiences across channels - Design customer journey touchpoints - Define cross channel campaign strategy aligned with business objectives |
| Mobile Messaging (SMS and Push) | 20% | - Implement mobile opt-in management - Apply compliance and regulatory requirements - Design mobile customer journeys - Configure SMS and push notification campaigns |
| Automation and Journey Builder | 10% | - Implement decision split logic - Configure wait and engagement activities - Design complex multi-step journeys |
| Email Marketing Advanced Concepts | 25% | - Implement advanced segmentation strategies - Optimize email deliverability - Configure dynamic content and personalization - Design A/B and multivariate test strategies |
| Analytics and Reporting | 15% | - Analyze cross channel performance metrics - Interpret attribution models - Build custom reports and dashboards |
| Advertising and Social Integration | 15% | - Configure Advertising Studio integrations - Implement audience synchronization - Leverage Social Studio capabilities |
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NEW QUESTION # 94
How does Send Time Optimization (STO) help marketers optimize their marketing campaigns?
Answer: A
NEW QUESTION # 95
What does Einstein copy Insight take into account, Select 3(arul's answer a,b,c)
Answer: B,C,D
Explanation:
* Understanding Einstein Copy Insights:
* Purpose:Einstein Copy Insights, a feature in Marketing Cloud, analyzes your subject lines to predict their performance and provide recommendations for improvement.
* Correct Statements:
* A. Frequently used phrases in subject line:Einstein Copy Insights identifies phrases that are commonly used in your subject lines and analyzes their historical performance. This helps you understand which phrases are effective and which might be overused.
* C. Emotional tone of subject line:The model assesses the emotional tone of your subject lines (e.
g., positive, negative, neutral) and correlates it with engagement rates. This helps you craft subject lines that resonate with your audience.
* D. Engagement data:This is fundamental to Einstein Copy Insights. The model analyzes historical engagement data (open rates, click-through rates) for your subject lines to identify patterns and make predictions.
* Incorrect Statement:
* B. Spelling and punctuation errors:While good spelling and punctuation are important for email deliverability and professionalism, Einstein Copy Insightsdoesn'tspecifically analyze or flag these errors. It focuses on the content and its impact on engagement.
In Summary:
Einstein Copy Insights analyzes frequently used phrases, the emotional tone of subject lines, and historical engagement data to predict subject line performance.A, C, and D are correct.
NEW QUESTION # 96
How frequently does Einstein Engagement Scoring updates to email?
Answer: C
NEW QUESTION # 97
How often is the model refreshed for Einstein engagement frequency(uses 2Sday& data)-weekly
Answer: D
Explanation:
* Model Refresh Frequency:
* Einstein Engagement Frequency's predictive model needs to be updated regularly to reflect the most recent engagement patterns.
* Daily Refresh:
* The EEF model is refresheddaily. This ensures that the send frequency recommendations are based on relatively up-to-date data.
* Why Not Other Options:
* A. Hourly:Hourly refresh would be computationally intensive and unnecessary, as engagement patterns don't change that rapidly.
* C. Monthly:Monthly refresh would be too infrequent, as the model's accuracy would degrade significantly over a month.
* D. Biweekly:Biweekly is also too infrequent to keep the model aligned with recent engagement trends.
In Summary:
The Einstein Engagement Frequency model is refreshedB. Dailyto maintain accuracy.
NEW QUESTION # 98
What can be recommended in Einstein web recommendations: select 3 (Home, Product; Category, Cart, Conversion Pages)
Answer: A,B,C
Explanation:
Einstein Web Recommendations Scope:
* Einstein Web Recommendations are designed to suggest relevant items to website visitors based on their behavior and your catalog data. These recommendations can bedisplayed in various places on your site, like the homepage, product pages, category pages, cart page, and even after a conversion.
What Can Be Recommended:
* A. Product:This is the most common type of recommendation. Einstein can suggest products that are similar to what the user is viewing, frequently bought together, or popular overall.
* B. Content:Einstein can also recommend content assets like blog posts, articles, videos, or white papers based on a user's browsing history and interests.
* C. Banner:While not a direct "recommendation" in the same way as products or content, Einstein can be used to personalize the banner displayed on a webpage. This involves selecting the most relevant banner from a set of options based on user data. This is typically handled by associating banners with assets in your catalog and then displaying them in recommendation display areas.
Why A, B, and C Are Correct:
* Flexibility:Einstein Web Recommendations are flexible and can be used to promote various types of assets.
* Personalization:The goal is to personalize the user experience by showing them relevant products, content, or even promotional banners.
NEW QUESTION # 99
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