Einstein Engagement Scoring for Mobile Dashboard

On the mobile dashboard, predicted app engagement groups contacts into four segments based on engagement thresholds. Thresholds are shown beneath each segment.

The mobile engagement heat map groups contacts into a customer persona based on predicted engagement.

Click the Time Comparison option to show Contact Persona changes over time. Use this feature to analyze how your messaging is resonating with your contacts. For example, if your total number of contacts increased by 10,000 since the last period, you can see that your Most Engaged bucket increased by 5,000 and that 70% of your new Most Engaged contacts are coming from your Less Engaged persona bucket. Einstein Engagement Scoring requires at least 7 days of active contact evaluation in each business unit before you can view Persona changes over time.

• Predicted App Engagement: This prediction is a blended metric that incorporates predicted app sessions, direct opens, inferred open, and time in app to gauge engagement across message and application engagement. You can’t customize the weight of each prediction in the score.
• Predicted App Sessions: How many sessions your audience is expected to generate on average.
• Predicted Direct Opens: How often your audience is expected to tap directly on a push notification to open an app on average
• Predicted Inferred Opens: How often your audience is expected to open the application within 24 hours of receiving, but not directly opening a message. You can’t customize the 24-hour window, but opens that occur later in the window have less weight in the prediction.
• Predicted Time in App: How much time in app your audience is expected to spend on average