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Engagement Score Thresholds
Each key performance indicator (KPI) in Einstein Engagement Scoring has an Audience Health indicator. This indicator shows whether the average grade for that score across all your subscribers is Excellent, Good, Fair, or Poor.
The grades are equivalent to the likelihoods that are assigned to each subscriber:
- Excellent: Most Likely
- Good: More Likely
- Fair: Less Likely
- Poor: Least Likely
To make that determination, the Audience Health indicator uses score thresholds based on your threshold settings for Einstein Engagement Scoring.
- Local Averages (default)
- Global Averages (alternative default)
- Custom Thresholds
MobilePush
- App’s Averages (default)
- Global Averages (alternative default)
- Custom Thresholds
Default averages use your business unit’s email or, for MobilePush, the app’s own historical performance. It subjectively compares your customers’ likely engagement.
For the alternative defaults, Salesforce trains each customer’s model using that customer’s behavioral data. If a customer opts in to the Global Models feature, they gain a wider pool of probabilistic contact matching using a greater range of training data. Learn more about Einstein’s Global Models feature in Marketing Cloud Engagement.
Local and global averages replace the industry averages for engagement scoring for email thresholds. The local and global average default settings are optimized for the blended scores that Einstein uses.
