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
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.
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
