Podcast
Questions and Answers
What does Einstein Engagement Scoring use to assign scores for each contact's likelihood to engage with emails or interact with push notifications?
What does Einstein Engagement Scoring use to assign scores for each contact's likelihood to engage with emails or interact with push notifications?
What editions include Einstein Engagement Scoring by default?
What editions include Einstein Engagement Scoring by default?
For customers who purchased Corporate or Enterprise Editions before October 27, 2017, how is Einstein Engagement Scoring made available?
For customers who purchased Corporate or Enterprise Editions before October 27, 2017, how is Einstein Engagement Scoring made available?
Which data extensions does Einstein Engagement Scoring populate?
Which data extensions does Einstein Engagement Scoring populate?
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How can users find the engagement scoring data extensions in Salesforce Marketing Cloud?
How can users find the engagement scoring data extensions in Salesforce Marketing Cloud?
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What is one of the uses of Einstein Engagement Scoring?
What is one of the uses of Einstein Engagement Scoring?
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What is the purpose of using Einstein Engagement Scoring heatmap?
What is the purpose of using Einstein Engagement Scoring heatmap?
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Which subscribers are classified as 'Loyalists' in the engagement scoring?
Which subscribers are classified as 'Loyalists' in the engagement scoring?
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How does Einstein Send Time Optimization (STO) help marketers?
How does Einstein Send Time Optimization (STO) help marketers?
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What type of data is important for Einstein to determine subscriber personas?
What type of data is important for Einstein to determine subscriber personas?
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What happens when Einstein doesn't have enough data to create a model for a contact?
What happens when Einstein doesn't have enough data to create a model for a contact?
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What does the Einstein Send Time Optimization dashboard display?
What does the Einstein Send Time Optimization dashboard display?
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Study Notes
Einstein Engagement Scoring
- Predicts consumer engagement with email and MobilePush messaging using customer data and machine learning.
- Assigns scores for each contact's likelihood to engage with emails or interact with push notifications.
- Included with Corporate and Enterprise Edition or available as an add-on purchase to Pro Edition.
- Available at no additional charge for customers who purchased a Corporate or Enterprise Edition before October 27, 2017.
- No admin-level permission controls to limit users.
Data Extensions
- Aggregates customer data in a dashboard providing audience-level insights and individual contact-level scores.
- Data extensions named Einstein_MC_Predictive_Scores and Einstein_MC_MobilePush_Scores.
- Accessible via Contact Builder or Email Studio.
Use Cases
- Monitor the health of engaged subscriber lists.
- Create audiences from scores using attributes similar to best-performing subscribers.
- Segment subscriber lists to target specific audiences based on predicted likelihood to engage.
- View model correlations that affect subscriber engagement using click bar graphs.
- Target subscribers through Marketing Cloud Engagement apps.
Einstein Engagement Scoring Heatmap
- Groups subscribers into a customer persona based on predicted email engagement.
- Personas: Loyalists, Window Shoppers and Selective Subscribers, Winback/Dormant.
- Use personas to refine customer engagement campaigns and journeys.
Momentum Analytics
- Gain insights about subscriber Persona changes and their relationship to subscriber categorization.
- Show subscriber Persona predicted behavior changes over time.
Einstein Send Time Optimization
- Determines the best time to send a message using machine learning.
- Predicts optimal send times for each individual contact.
- Increases email and push notification engagement.
- Recreates sending model each week using latest engagement data.
- Excludes Transactional send classification from modeling.
Einstein STO Journey Builder Activity
- Sends messages to each contact at the time when they are most likely to engage with the message.
- Uses generalized model when there is insufficient data to create a model for a contact.
Einstein Send Time Optimization Dashboard
- Displays analytics that predict future message engagement.
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Description
Learn about Einstein Engagement Scoring in Salesforce, a tool that predicts consumer engagement with email and MobilePush messaging using customer data and machine learning. Find out how it assigns scores for each contact's likelihood to engage with emails or interact with push notifications.
