A business practitioner needs to identify the total number of complaints for a given delivery by domain.
What out-of-the-box report would provide this information?
To identify the total number of complaints for a given delivery by domain, the 'Non-deliverables and bounces' report would be appropriate. This report typically includes data on email delivery issues, which encompass bounces, spam complaints, and other non-delivery related events categorized by domain. Complaints are a form of non-deliverable where the recipient's email server has accepted the email but classified it as spam or junk, often feeding back to the sending server as a complaint. Reference: This functionality is part of Adobe Campaign Classic's reporting capabilities, providing insight into the deliverability issues including complaints by domain.
In Adobe Campaign, delivery logs are stored in the out-of-the-box schema "Recipient delivery logs(nms:broadLogRcp)".
How is "Recipient delivery logs(nms:broadLogRcp)H linked to "Recipient(nms:recipient)" and *Delivery(nms:delivery)"?
In Adobe Campaign, ''Recipient delivery logs(nms:broadLogRcp)'' is linked to both ''Recipient(nms:recipient)'' and ''Delivery(nms:delivery)''D.
The ''Recipient delivery logs(nms:broadLogRcp)'' schema contains information about the delivery logs for each recipient. It is linked to the ''Recipient(nms:recipient)'' schema, which contains information about each recipient, and the ''Delivery(nms:delivery)'' schema, which contains information about each delivery.
In Adobe Campaign, the 'Recipient delivery logs' schema is designed to log each delivery action for each recipient, thus it logically must be linked to both the 'Recipient' and 'Delivery' schemas. The 'Recipient delivery logs' schema typically contains foreign keys that reference the primary keys of both the 'Recipient' schema (to identify the recipient of a delivery) and the 'Delivery' schema (to identify the specific delivery sent). Reference: This answer is informed by the relational database structure and design of Adobe Campaign, which often uses linking tables like 'Recipient delivery logs' to establish many-to-one relationships between data entities.
A business practitioner has been given a condition to create a link between two tables such that one primary key of the first table can be connected with multiple values over the primary key of the second table.
Which cardinality does the practitioner need to define in the first table while making a connection?
To create a link between two tables such that one primary key of the first table can be connected with multiple values over the primary key of the second table, the business practitioner needs to define the cardinality in the first table as1:n.
The cardinality defines the relationship between the two tables. In this case, the first table has a primary key that can be connected with multiple values over the primary key of the second table. This is a one-to-many relationship, which is represented by the cardinality 1:n.
A business team is sending out a promotional email and would like to automatically send a follow-up email two hours later to the recipients who did not open the initial email.
What are the workflow activities needed to do this?
To send a follow-up email two hours later to the recipients who did not open the initial email, the workflow activities needed are:
Query: Create a query to identify the recipients who did not open the initial email.
Email!: Create an email delivery activity to send the initial email.
Wait: Add a wait activity to wait for two hours.
Enrichment: Add an enrichment activity to update the delivery logs with the delivery status.
Email2: Create a second email delivery activity to send the follow-up email.
End: Add an end activity to end the workflow.
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To set up a workflow that sends a follow-up email to recipients who did not open the initial email, the following steps are necessary: First, a Query activity to identify the recipients, followed by the initial Email1 activity. After the first email is sent, a Wait activity delays the workflow for two hours. Next, an Enrichment activity is used to determine which recipients did not open the Email1, likely by checking open status from the tracking logs. Finally, the second email (Email2) is sent to those unresponsive recipients, and the workflow ends. The Enrichment activity is essential here as it helps to refine the target segment based on the behavior (email opens) related to the first email. Reference: The process is based on common email marketing practices and the use of workflows in marketing automation platforms like Adobe Campaign Classic, where Wait and Enrichment activities are standard components for managing time-based actions and recipient behavior.
A company's data includes recipients and transactions for recipients with a one(recipient) to many(transactions) relationship.
What is the most efficient configuration of a workflow Query activity to select all transactions in a particular time period?
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