Reference module: Defining an action for outbound
Which statement is true about email treatments?
Email treatments in Pega Customer Decision Hub allow for personalization, including customizing the email subject to address the customer by name or other personalized data.
Definition and Purpose:
Email treatments are used to define the content and presentation of email communications sent to customers as part of outbound campaigns.
Personalization enhances the relevance and engagement of these emails by including customer-specific information.
Capabilities of Email Treatments:
Personalization Tags: Pega supports the inclusion of dynamic tags in the email subject and body, allowing for personalized greetings, offers, and other content. For example, 'Dear <customer name>' where '<customer name>' is dynamically replaced with the actual name of the customer.
HTML Content: Design rich email content using HTML, which can include images, links, and other multimedia elements.
Steps to Personalize Email Subjects:
Step 1: Create or edit an email treatment in Pega.
Step 2: In the subject line field, use the syntax for personalization tags. For example, 'Dear <customer name>, check out our new offers!'.
Step 3: Map the personalization tags to the appropriate customer data fields to ensure the correct information is inserted when the email is sent.
Testing Personalization:
Use seed lists to test personalized emails. Seed lists are groups of test email addresses used to preview how the email will look when sent to actual customers.
Ensure that personalization attributes appear correctly in the received test emails.
Best Practices:
Always test personalized emails thoroughly before launching a campaign to ensure that the tags are working correctly and the content renders as expected.
Use personalization to enhance customer engagement by making emails feel more relevant and tailored to individual recipients.
Pega-Customer-Decision-Hub-User-Guide-85.pdf: 'Configuring email treatments' section.
Pega documentation on 'Defining an action for outbound'.
U+, a retail bank, recently implemented a project in which credit card offers are presented to qualified customers when they log in to the web self-service portal. The bank does not want any bias except to satisfy the eligibility condition Age >=18. As a Decisioning Consultant, how will you configure the ethical bias policy to allow a minimum bias on age?
Ethical Bias Policy Configuration:
To allow minimal bias on age while ensuring eligibility (Age >= 18), an appropriate Gini coefficient threshold needs to be set.
The Gini coefficient measures statistical inequality, with 0 representing perfect equality and higher values indicating more bias.
Choosing the Gini Threshold:
A 0.1 Gini coefficient is a low threshold that allows minimal bias.
It ensures that the actions are distributed fairly among customers while still respecting the eligibility condition.
Detailed Explanation:
Setting a 0.1 Gini coefficient allows for slight variations in distribution, which is sufficient to accommodate the Age >= 18 requirement without introducing significant bias.
Verification from Pega Documentation:
The Pega Customer Decision Hub User Guide explains the use of Gini coefficients for measuring and setting thresholds to control bias in decisioning strategies.
A strategy designer has created 10 actions in the Sales/Credit Cards group and 10 actions in the Sales/Mortgages group. He would like to import all 10 actions from the Credit Cards group and only two actions from the Mortgage group into one decision strategy. What is the minimum number of Proposition Data components he needs to use in his strategy?
Proposition Data Components - These components in a decision strategy are used to import and reference actions or propositions.
Requirement - The strategy designer wants to import all actions from one group and a subset from another.
Minimum Number Calculation:
One component for importing all 10 actions from the Sales/Credit Cards group.
Another component for importing the 2 specific actions from the Sales/Mortgages group.
Pega Customer Decision Hub User Guide 8.6, Section on configuring and using Proposition Data components in strategies .
Myco, a telco, wants to present their customers with new 5G data plans -- the Unlimited plan, the 500GB plan, and the 100GB plan -- on their web portal. As a Decisioning Consultant, you want to test how the three new offers will be distributed by running a distribution test that only considers eligibility without arbitration. In this scenario, which report will test this requirement?
The Action Distribution Report is designed to test how new offers will be distributed by running a distribution test that only considers eligibility without arbitration. This report helps in understanding how different actions or offers are being allocated to customers based on the eligibility criteria defined in the engagement policies, without taking into account the arbitration logic.
Running distribution tests and generating reports (Page 152-153)
Using Action Distribution Report to evaluate offer allocations (Page 155-157)
U+ Bank currently uses Next-Best-Action Designer to manage 1:1 customer engagement in the web channel. The bank would like to promote the same offers in email. Which two additional configurations are needed in Next-Best-Action Designer to promote the offers in email? (Choose Two)
Ensuring the Email Channel is Enabled:
Navigate to the Channels tab in the Next-Best-Action Designer.
Ensure that the toggle for the Email channel is set to ON.
This action enables the email channel, making it available for use in Next-Best-Action strategies.
Configuring Arbitration for Email Actions:
Arbitration rules determine the prioritization of actions in the Next-Best-Action framework.
Navigate to the Arbitration tab in the Next-Best-Action Designer.
Configure the arbitration settings to boost the prioritization of actions intended for email.
This step ensures that email actions are given appropriate weight and are more likely to be selected for delivery via the email channel.
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