Marketing-Cloud-Account-Engagement-Specialist Exam Dumps - Salesforce Marketers Questions and Answers

When investigating an odd field value on a prospect's record in Pardot, the first course of action should be to view the prospect's Audit tab. This tab provides a comprehensive log of all changes made to the prospect’s record, including information on what changes were made, who made them, and when they were made. This approach allows users to quickly ascertain the source of the odd field value, whether it was updated through a form submission, manually edited by another user, or changed through some other process. It is a more direct and reliable method than contacting assigned users or reviewing individual form submissions, which may not conclusively reveal the origins of the specific change.

In Engagement Studio programs within Pardot, the paths that prospects take can be defined by various triggers based on their actions or statuses. The following are valid triggers:

• List membership: This trigger checks if the prospect belongs to a specific list, allowing for tailored engagements based on list segmentation.
• Email open: This monitors whether a prospect has opened an email, serving as a behavioral trigger for further actions.
• Custom redirect click: This trigger checks if the prospect has clicked on a custom redirect link, which is often used to track engagement with specific content or calls to action. These triggers help in dynamically steering prospects through different paths based on their interactions with marketing materials.

 Sales users are Marketing Cloud Account Engagement users who have access to the prospect database and can send one-to-one emails to prospects, but not list emails. Sales users can also view and edit prospect records, create tasks and activities, and sync prospects with Salesforce. You can set up sales users in Marketing Cloud Account Engagement by assigning them the Sales role and enabling the one-to-one email option in their user settings. References: [User Roles], [Create and Edit Users]

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.

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

 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

The recommended way for the user to accomplish this is to set the page action URL as https://www.lenoxsoft.com/products/B. This will create a wildcard page action that will match any URL that starts with https://www.lenoxsoft.com/products/B, including the three URLs mentioned. A wildcard page action allows you to apply the same completion action to multiple pages that share a common prefix.  This way, the user can notify a specific user when a prospect visits any page under the products/B section of their website

When a marketing user pauses an Engagement Studio program and adds a new recipient list, the newly added prospects will skip any Action steps the existing prospects have already completed, but will be evaluated on Trigger and Rule steps when the program is resumed. This is because Action steps are time-based and cannot be retroactively applied, while Trigger and Rule steps are condition-based and can be applied at any point in the program1. References: 1: [Engagement Studio FAQ]

 According to the [Salesforce documentation], in order to set up an automated grading model in Marketing Cloud Account Engagement, two components are required: profile and automation rule. A profile is a set of criteria that defines an ideal prospect for a specific product or service. A profile can include information such as industry, job title, location, company size, etc. An automation rule is a logic-based action that can be triggered when a prospect meets certain criteria. An automation rule can be used to assign a grade to a prospect based on their profile match. A Marketing Cloud Account Engagement score is a numerical value that indicates the level of interest and engagement of a prospect, but it is not required for setting up an automated grading model. A dynamic list is a list of prospects that is updated automatically based on certain criteria, but it is not required for setting up an automated grading model either. References: [Salesforce documentation]