PDF Marketing-Cloud-Account-Engagement-Specialist Study Guide

 The metrics in the list email report that could help the Account Engagement user understand how these prospects may have become unmailable are Total Opt Outs and Hard Bounces (D). These metrics show the number and percentage of prospects who either opted out of receiving future emails or had their emails bounced back due to a permanent error, such as an invalid email address. These prospects are marked as Do Not Email and cannot be emailed again unless they opt back in. The other metrics (A, B, C) are not directly related to the prospects’ mailable status, but rather to the email delivery, performance, and tracking. References: List Email Report Metrics

According to the [Salesforce documentation], the best place to look for all automation rules and engagement studio programs that a prospect has been a member of is the Prospect’s Audits tab. This tab shows a detailed history of all the actions and activities that have occurred for a prospect, including the automation rules and engagement studio programs that they have been added to, removed from, or completed. The Automation settings, Scoring rules, and Lifecycle report do not provide this information, as they are related to the configuration, scoring, and reporting of the automation and engagement features, not the individual prospect’s history. References: [Salesforce documentation]

 According to the Salesforce documentation, the default scoring model in Marketing Cloud Account Engagement assigns points to prospects based on their activities, such as clicking a link in an email, submitting a form, or visiting a landing page. These activities indicate the level of interest and engagement of the prospects, and help prioritize them for sales follow-up. Converting a lead to a contact or sending an email to the assigned user are not activities that automatically increase the prospect’s score, unless they are customized in the scoring rules. References: Salesforce documentation

Salesforce's Einstein Key Accounts Identification feature is designed to help sales managers and teams identify and focus on their most important accounts based on a variety of metrics, including historical data and engagement levels.

• Einstein Key Accounts Identification: This feature uses advanced machine learning algorithms to analyze past opportunity creation data and various engagement metrics to pinpoint which accounts are likely to be the most valuable or have the highest potential. This can help sales managers prioritize their efforts and resources more effectively. The insights generated by this tool are integrated directly into the Salesforce account records, providing easily accessible and actionable data for sales teams.

This contrasts with options like the Einstein Behavior Score, Pardot grade, and Pardot score, which, while useful for assessing individual lead or contact engagement and readiness, do not provide the holistic account-level insight that Einstein Key Accounts Identification does.