---
schema_version: "1"
id: 46b24e0e7d3ed4a4d7b847cddd225d16c8aeea8c330ea065f6e18b98bad5fdc6
title: Einstein Engagement Scoring for Email Dashboard
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/mktg/264-0-0/mc_anb_ees_email_dashboard.md
canonical_url: https://help.salesforce.com/s/articleView?id=mktg.mc_anb_ees_email_dashboard.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: 5a47bfde1ed308c01f4a994ae58e53c622ac76808a486ba83ecf83eb327ef793
description: On the email dashboard, get email engagement prediction data that groups contacts into a persona based on engagement thresholds. Use detail pages to dig into prediction specifics and audience health.
products:
  - Marketing
  - Marketing Cloud Intelligence
release: "264"
---
# Einstein Engagement Scoring for Email Dashboard

On the email dashboard, get email engagement prediction data that groups contacts into a persona based on engagement thresholds. Use detail pages to dig into prediction specifics and audience health.

The email engagement heat map groups subscribers into a customer persona based on predicted email engagement.

- Loyalists: Subscribers with high open and click engagement
- Window Shoppers: Subscribers with high open and low click engagement
- Selective Subscribers: Subscribers with low open and high click engagement
- Winback/Dormant: Subscribers with low open and click engagement

![Note](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-mktg-mc_data_management_and_analytics-264-0-0-production-enus/7988f60d-cd94-4b42-8836-dc11773564b5/images/icon_note.png)

Note Einstein Engagement Scoring still considers opens, but they’re weighted lower than clicks by Einstein’s AI models. Open data is important to determine who, for example, is a window shopper versus a selective subscriber, or what differentiates a loyalist from a selective subscriber. See [Einstein Updates for Email Client Privacy Changes](https://help.salesforce.com/s/articleView?id=mktg.mc_anb_mpp_overview.htm&release=264.0.0&type=5 "Some email client providers have privacy methods that impact open rate metrics and calculations. Einstein Metrics Guard provides more accurate predictions by discerning real opens from bot opens.") for more information about Einstein’s AI models regarding open-rate scoring.

![Predicted Email Engagement shows Audience engagement by Persona](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-mktg-mc_data_management_and_analytics-264-0-0-production-enus/7988f60d-cd94-4b42-8836-dc11773564b5/mc_data_management_and_analytics/images/mc_anb_engagement_prediction3.png)

To show subscriber Persona changes over time, clickTime Comparison. Use this feature to analyze how your messaging is resonating with your subscribers. For example, if your total number of subscribers increased by 10,000 since the last period, the Loyalist bucket increases by 5,000 and shows that 70% come from your Selective Subscriber persona bucket. Einstein Engagement Scoring requires at least 14 days of active subscriber evaluation in each business unit before you can view Persona changes over time.

![Time comparison image before selecting a persona](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-mktg-mc_data_management_and_analytics-264-0-0-production-enus/7988f60d-cd94-4b42-8836-dc11773564b5/mc_data_management_and_analytics/images/mc_anb_EES_time_comparison_dashboard.png)

![Time comparison image after selecting a persona](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-mktg-mc_data_management_and_analytics-264-0-0-production-enus/7988f60d-cd94-4b42-8836-dc11773564b5/mc_data_management_and_analytics/images/mc_anb_EES_time_comparison_dashboard_2.png)

On the email dashboard, click **View Details** in a tile to view its engagement Key Performance Indicator (KPI) detail page. The engagement KPI detail pages show:

- Activity Prediction: Average likelihood of each engagement metric during the next 7 days
- Audience Health Indicator: Audience health for each engagement metric benchmarked against email industry standards
- Activity Prediction Histogram: Distribution of subscribers based on likely engagement during the next 7 days
- Top Predictors: List of predictors used in the data learning model according to size of influence and positive or negative correlation

![Einstein Engagement Scoring's KPI detail page for email open prediction shows a graph with open prediction distribution and a table with top predictors that influence open likelihood.](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-mktg-mc_data_management_and_analytics-264-0-0-production-enus/7988f60d-cd94-4b42-8836-dc11773564b5/mc_data_management_and_analytics/images/mc_anb_audience_health_.jpg)