Einstein Engagement Scoring in Salesforce

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What does Einstein Engagement Scoring use to assign scores for each contact's likelihood to engage with emails or interact with push notifications?

Customer data and machine learning

What editions include Einstein Engagement Scoring by default?

Corporate and Enterprise Edition

For customers who purchased Corporate or Enterprise Editions before October 27, 2017, how is Einstein Engagement Scoring made available?

At no additional charge upon execution of an Order Form with Additional Terms

Which data extensions does Einstein Engagement Scoring populate?

Einstein_MC_Predictive_Scores and Einstein_MC_MobilePush_Scores

How can users find the engagement scoring data extensions in Salesforce Marketing Cloud?

Via Contact Builder or Email Studio

What is one of the uses of Einstein Engagement Scoring?

Monitor the health of your engaged subscriber list in a dashboard

What is the purpose of using Einstein Engagement Scoring heatmap?

To group subscribers into customer personas based on predicted email engagement

Which subscribers are classified as 'Loyalists' in the engagement scoring?

Subscribers with high engagement scores

How does Einstein Send Time Optimization (STO) help marketers?

By increasing email and push notification engagement

What type of data is important for Einstein to determine subscriber personas?

Open data

What happens when Einstein doesn't have enough data to create a model for a contact?

The contact receives messages based on a generalized model

What does the Einstein Send Time Optimization dashboard display?

Analytics predicting future message engagement

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.

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.

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