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Questions and Answers
What legal protection restricts the use, copying, distribution, or transmittal of Pegasystems Inc.'s documents and products?
What legal protection restricts the use, copying, distribution, or transmittal of Pegasystems Inc.'s documents and products?
- Copyright Law (correct)
- Trade Secret Law
- Patent Law
- Trademark Law
Why should a user consult their Pegasystems service consultant?
Why should a user consult their Pegasystems service consultant?
- To clarify whether a specific feature is included in their licensed installation. (correct)
- To get the latest updates about the document.
- To get the latest updates about trademarks.
- To get the latest updates about the product.
Pegasystems Inc. may make improvements and/or changes in the information described at any time. What does this imply for users of their documentation?
Pegasystems Inc. may make improvements and/or changes in the information described at any time. What does this imply for users of their documentation?
- Users should assume that all features referenced are licensed to their company.
- Users should be aware that the document is current only as of its publication date, and changes may occur. (correct)
- Users should expect a commitment to deliver all products and services mentioned.
- Users should always refer to the service consultant for the most up-to-date information.
Which statement accurately reflects Pegasystems Inc.'s stance on the accuracy of its publications?
Which statement accurately reflects Pegasystems Inc.'s stance on the accuracy of its publications?
What should a user do with a Pegasystems document upon request from Pegasystems Inc.?
What should a user do with a Pegasystems document upon request from Pegasystems Inc.?
In the context of outbound customer engagement, how does Pega Customer Decision Hub's 'always-on brain' enhance customer relationships?
In the context of outbound customer engagement, how does Pega Customer Decision Hub's 'always-on brain' enhance customer relationships?
Which of the following exemplifies the 'always-on' principle in Pega Customer Decision Hub?
Which of the following exemplifies the 'always-on' principle in Pega Customer Decision Hub?
How does the 'always-on brain' in Pega Customer Decision Hub leverage data and AI to enhance customer engagement?
How does the 'always-on brain' in Pega Customer Decision Hub leverage data and AI to enhance customer engagement?
What is the strategic significance of Pega Customer Decision Hub acting as a 'single, centralized decision authority'?
What is the strategic significance of Pega Customer Decision Hub acting as a 'single, centralized decision authority'?
What is the key differentiator between 'owned' and 'paid' channels in customer engagement strategy?
What is the key differentiator between 'owned' and 'paid' channels in customer engagement strategy?
In what scenario would a business most likely prioritize a 'paid' channel over an 'owned' channel for customer engagement?
In what scenario would a business most likely prioritize a 'paid' channel over an 'owned' channel for customer engagement?
Considering the evolution of customer expectations, what is the most critical adaptation businesses must make in their outbound engagement strategies?
Considering the evolution of customer expectations, what is the most critical adaptation businesses must make in their outbound engagement strategies?
How might a business effectively balance the use of 'owned' and 'paid' channels to optimize their customer engagement strategy?
How might a business effectively balance the use of 'owned' and 'paid' channels to optimize their customer engagement strategy?
In the context of outbound marketing, what is the primary function of integrating AI in offer prioritization?
In the context of outbound marketing, what is the primary function of integrating AI in offer prioritization?
What is the most likely reason a bank would implement contact policy rules for outbound offers?
What is the most likely reason a bank would implement contact policy rules for outbound offers?
Which operational constraint would most likely lead a bank to limit the outbound volume of marketing emails?
Which operational constraint would most likely lead a bank to limit the outbound volume of marketing emails?
Why might a bank choose to use a third-party email distributor for sending offer emails?
Why might a bank choose to use a third-party email distributor for sending offer emails?
In the described system, what is the purpose of 'action details' being written to a database table before being shared with a third-party email distributor?
In the described system, what is the purpose of 'action details' being written to a database table before being shared with a third-party email distributor?
How does Pega Customer Decision Hub enable the reuse of existing actions and customer engagement policies for outbound customer engagement?
How does Pega Customer Decision Hub enable the reuse of existing actions and customer engagement policies for outbound customer engagement?
What is the most likely customer action being tracked when they click the 'APPLY TODAY' call to action in a credit card offer email sent by U+ bank?
What is the most likely customer action being tracked when they click the 'APPLY TODAY' call to action in a credit card offer email sent by U+ bank?
What implicit strategy is U+ bank employing by directing customers from offer emails to a dedicated credit cards page on their website?
What implicit strategy is U+ bank employing by directing customers from offer emails to a dedicated credit cards page on their website?
When setting volume constraints for outbound actions in Pega Customer Decision Hub™, which mode ensures that a customer receives only one action, even if lower-priority actions have available volume?
When setting volume constraints for outbound actions in Pega Customer Decision Hub™, which mode ensures that a customer receives only one action, even if lower-priority actions have available volume?
In Pega Customer Decision Hub™, what is the purpose of defining volume constraints in outbound customer engagement?
In Pega Customer Decision Hub™, what is the purpose of defining volume constraints in outbound customer engagement?
A customer is eligible for three credit card offers: Standard, Rewards, and Rewards Plus. Standard card is the top priority, and Rewards Plus card is priority 3. The remaining volume for Standard and Rewards Plus is above zero, but the remaining volume for Rewards card (priority 2) is zero. Which card is delivered to the customer, assuming volume constraints are applied individually?
A customer is eligible for three credit card offers: Standard, Rewards, and Rewards Plus. Standard card is the top priority, and Rewards Plus card is priority 3. The remaining volume for Standard and Rewards Plus is above zero, but the remaining volume for Rewards card (priority 2) is zero. Which card is delivered to the customer, assuming volume constraints are applied individually?
When defining volume constraints in Pega Customer Decision Hub™, what considerations are included in the volume constraint definition?
When defining volume constraints in Pega Customer Decision Hub™, what considerations are included in the volume constraint definition?
If a business requirement dictates that volume constraints be applied to a group of actions for which a customer qualifies, how should volume constraints be configured in Pega Customer Decision Hub™?
If a business requirement dictates that volume constraints be applied to a group of actions for which a customer qualifies, how should volume constraints be configured in Pega Customer Decision Hub™?
In Pega Customer Decision Hub™, if the volume constraint for a specific action has been reached, but a customer is still eligible for this action based on other criteria, what happens when evaluated individually?
In Pega Customer Decision Hub™, if the volume constraint for a specific action has been reached, but a customer is still eligible for this action based on other criteria, what happens when evaluated individually?
What formula is used in Next-Best-Action Designer to calculate the priority of an action?
What formula is used in Next-Best-Action Designer to calculate the priority of an action?
What is a key benefit of using volume constraints in outbound customer engagement within Pega Customer Decision Hub™?
What is a key benefit of using volume constraints in outbound customer engagement within Pega Customer Decision Hub™?
What is the primary reason for limiting an action flow to only a few steps per channel?
What is the primary reason for limiting an action flow to only a few steps per channel?
When using a Dynamic template for an action flow, what is the implication for modifying the flow?
When using a Dynamic template for an action flow, what is the implication for modifying the flow?
What is the primary reason for utilizing a third-party email/SMS distributor in Pega Customer Decision Hub?
What is the primary reason for utilizing a third-party email/SMS distributor in Pega Customer Decision Hub?
Why is the Availability of an action set to 'Never' when it is intended to be used as a flow template?
Why is the Availability of an action set to 'Never' when it is intended to be used as a flow template?
In a Send Email shape configured within a flow template, what is the significance of setting the Treatment option to 'Use associated treatment'?
In a Send Email shape configured within a flow template, what is the significance of setting the Treatment option to 'Use associated treatment'?
Which configuration step is essential for writing action details to a file or database table within Pega Customer Decision Hub for third-party distribution?
Which configuration step is essential for writing action details to a file or database table within Pega Customer Decision Hub for third-party distribution?
What is the key purpose of an action flow in the context of outbound communication?
What is the key purpose of an action flow in the context of outbound communication?
Which of the following is NOT a supported cloud-based destination for writing action details files from Pega Customer Decision Hub?
Which of the following is NOT a supported cloud-based destination for writing action details files from Pega Customer Decision Hub?
Considering the use of Dynamic templates, what is a potential drawback of changing the flow in the referenced action?
Considering the use of Dynamic templates, what is a potential drawback of changing the flow in the referenced action?
How does continuing quota of volume constraints in a given interval affect subsequent scheduled runs in Pega Customer Decision Hub?
How does continuing quota of volume constraints in a given interval affect subsequent scheduled runs in Pega Customer Decision Hub?
In designing an action flow for email delivery, what consideration should be given to the number of steps included?
In designing an action flow for email delivery, what consideration should be given to the number of steps included?
What considerations are crucial when sending outbound communications via email and SMS, which often lead organizations to use third-party distributors?
What considerations are crucial when sending outbound communications via email and SMS, which often lead organizations to use third-party distributors?
Besides cloud-based destinations, where else can Pega Customer Decision Hub write files containing action details?
Besides cloud-based destinations, where else can Pega Customer Decision Hub write files containing action details?
How does the 'Use associated treatment' option in the Send Email shape enhance the flexibility of email campaigns?
How does the 'Use associated treatment' option in the Send Email shape enhance the flexibility of email campaigns?
Which of the listed 'Send' shapes in Pega Customer Decision Hub is designed to handle diverse communication methods beyond just email and SMS when writing action details?
Which of the listed 'Send' shapes in Pega Customer Decision Hub is designed to handle diverse communication methods beyond just email and SMS when writing action details?
In the context of outbound templates, what is the role of Pega Customer Decision Hub regarding email and SMS communications?
In the context of outbound templates, what is the role of Pega Customer Decision Hub regarding email and SMS communications?
Flashcards
Pegasystems Trademarks
Pegasystems Trademarks
PegaRULES, Process Commander, SmartBPM and the Pegasystems logo are trademarks or registered trademarks of Pegasystems Inc.
Always-On Outbound
Always-On Outbound
Refers to engaging customers in a continuous and consistent manner using outbound communication channels.
Outbound Communication
Outbound Communication
The means of interacting with customers through proactive messaging.
Customer Engagement
Customer Engagement
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Document Ownership
Document Ownership
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Customer Expectations
Customer Expectations
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Pega Customer Decision Hub™
Pega Customer Decision Hub™
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Always-On Brain
Always-On Brain
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Always-On Function
Always-On Function
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Brain's Data Input
Brain's Data Input
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Owned Channels
Owned Channels
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Paid Channels
Paid Channels
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Centralized Resource
Centralized Resource
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Offer Prioritization
Offer Prioritization
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Contact Policy Rules
Contact Policy Rules
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Outbound Volume Limitations
Outbound Volume Limitations
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Third-Party Email Distributor
Third-Party Email Distributor
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Always-On Outbound Capability
Always-On Outbound Capability
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Action Reuse
Action Reuse
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Offer Email Campaign
Offer Email Campaign
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"Apply Today" Call to Action
"Apply Today" Call to Action
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Volume Constraints
Volume Constraints
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Purpose of Volume Constraints
Purpose of Volume Constraints
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Individually for Each Action
Individually for Each Action
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Direct Outbound Messaging
Direct Outbound Messaging
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Medium for Transferring Action Details
Medium for Transferring Action Details
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Volume Constraint Modes
Volume Constraint Modes
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Action Validation in 'Individually' Mode
Action Validation in 'Individually' Mode
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Cloud-Based Destinations for Outbound Files
Cloud-Based Destinations for Outbound Files
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Examples of File Destinations
Examples of File Destinations
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Top Action Selection
Top Action Selection
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Maximum One Action
Maximum One Action
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Purpose of File/Database Templates
Purpose of File/Database Templates
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Credit Card Action Examples
Credit Card Action Examples
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Configuration for Writing Action Details
Configuration for Writing Action Details
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Available Send Shapes
Available Send Shapes
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Flexibility of Send Shapes
Flexibility of Send Shapes
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Action Flow
Action Flow
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Keep Flows Simple
Keep Flows Simple
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Dynamic Template
Dynamic Template
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Edit Original Flow
Edit Original Flow
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Flow Template
Flow Template
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Send Email Shape
Send Email Shape
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Use Associated Treatment
Use Associated Treatment
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Independent Email Treatment
Independent Email Treatment
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Study Notes
Essentials of Always-On Outbound
- Always-On Outbound focuses on learning the principles of always-on outbound customer engagement, its similarities and differences with traditional outbound marketing
- Learning how the brain works in outbound customer engagement
- Study a typical always-on outbound business scenario
- Objectives include describing the principals of always-on 1:1 customer engagement, compare and contrast traditional marketing concepts with always-on outbound and describe a typical always-on business use case in the outbound channel
Working of the Always-On Brain in Outbound
Customer Expectations
- Customers are more empowered and have high expectations that experiences must be meaningful, consistent, and personalized across every channel they interact with
- Pega Customer Decision Hub™ delivers the right message, to the right customer, at the right time, on the right channel
- Provides a better experience for customers and improves customer relationships over the long term
The Always-On Brain
- Pega Customer Decision Hub acts as a single, centralized decision authority
- The always-on brain carries out 1:1 customer engagement across channels
- "Always-on" means that the brain constantly monitors each customer's context across channels
- When it detects a need, the system selects and delivers the appropriate offer, retention message, or service recommendation in the customer's preferred channel
- The brain uses data about the customer, including past behaviour, profile information, and contextual data that stream from devices
- Leverages advanced Al techniques to predict customer context, propensities, and relevance
- Uses stored decision strategies to trigger messages and actions at the moment the customer will be most receptive to them
- Delivers consistent and personalized Next-Best-Actions across all channels
Customer Engagement Channels
- Customer interactions take place on various channels, classified as "owned" and "paid"
- Owned channels, such as a self-service web portal, contact center, or mobile application, provide the business more control over customer engagement activities
- Paid channels are owned by a third party, such as social media platforms like Google and Facebook, for which businesses have to pay
- Owned channels can be further classified as inbound and outbound channels
Inbound and Outbound Channels
- An inbound channel is used when a customer approaches the business, for example, a self-service web portal
- An outbound channel is used by the business to send a message to the customer, for example, email or SMS
- The mechanics of delivering Next-Best-Actions differ in inbound and outbound channels
Inbound Interactions
- When a customer interaction takes place on an inbound channel, the channel identifies the customer, then the brain evaluates the Next-Best-Action for that customer and sends the result back to the same channel in real-time
- The customer's response to the action is recorded by the system, and the cycle repeats
Outbound Interactions
- Always-on outbound sends outbound messages, via email or SMS, to customers only when it's appropriate
- There are two types of outbound interactions: always-on actions and one-time actions
Always-On Actions
- These actions are available for the Next-Best Action framework (Always-on brain) to select and deliver the appropriate communication to the customer
- Promotional actions (Default): The brain proactively sends out messages on a scheduled basis when relevant, evaluating the Next-Best-Action for each customer within a segment
- Customer responses are recorded and used to evaluate the next-best action
- The brain considers all engagement policy conditions, applies arbitration, outbound action/channel limits, and contact policies while determining the appropriate action
- Promotional actions are the default method of communication
Transactional Actions
- When a customer event significant to the business is detected, like a customer ending an online transaction, Customer Decision Hub receives data from the event stream
- The brain evaluates the next-best action and sends the resulting action, such as a notification email with a link to continue the transaction, to the customer
- The system triggers the outbound message only for the customer for whom the event occurred
- Transactional actions are regulated by engagement policies, arbitration factors, action limits, and contact policies, but outbound channel limits are disregarded if it is one of the qualified actions
Mandatory Actions
- In situations, it might be necessary to inform certain customers about changes (increase in interest rates or network outages)
- These communications(mandatory actions) must be sent promptly and are regulated by engagement policies and contact policies
- Arbitration, outbound channel limits, and outbound action limits do not apply to these actions, but contact policies are still applied to ensure actions are not delivered repeatedly
One-Time Actions
- Typical batch communication that all or a subset of customers receive at a specific date and time
- These actions are executed in a Business Operations Environment
- No engagement policies or constraints are applied to these actions, everyone receives the same action
- One-time communication: Planned maintenance activity, contacting customers outside regularly scheduled updates, to apply to urgent or time-sensitive matters and does not repeat automatically
Traditional Marketing Versus Always-On Outbound
Overview
- As organizations switch from traditional marketing approaches to 1:1 customer engagement, terminology comparison is needed
Marketing Campaigns and Programs
- Traditional Marketing: A marketing program is a set of activities designed to meet marketing objectives by grouping campaigns into logical business outcomes
- Always-on Approach: Marketing programs translate into hierarchies of Issues and Groups,using existing marketing objectives and desired outcomes to define the Issue/Group hierarchies that best meet needs
- Campaign briefs are used to create Actions
- A campaign translates into an action or a set of actions delivered to qualified customers
- In the always-on approach, an action goes into or out of play by changing its availability setting
- Any adjustment to an action in the always-on approach propagates across all Issues and Groups, optimizing across all programs and campaigns
Segmentation
- Traditional Approach: Utilizes segment, audience, or population used interchangeably to refer to the target audience, granular criteria is defined for identification
- Always-on Approach: Audience segmentation incorporates engagement policies with Artificial Intelligence (AI)
- By understanding traditional segments, they can be translated into eligibility, applicability, suitability and contact policy rules
- Criteria not based on clear business rules, such as demographic targeting based on market research or intuition, should be avoided
- In this approach, Al chooses the right action for each customer, all disqualified actions are filtered out
- The lifecycle period criterion is an eligibility condition business requirement
- The Average balance criterion is a suitability condition business expectation
- Age range/income-based data isn't part of engagement conditions, left to the Al
- Segments in this approach only identify starting population for an always-on outbound schedule
- The starting population contains the list of potential customers whom you want to send messages
Segmentation Reports
- Traditionally, segments were used to generate reports on customers who match specific criteria
- Simulation facility in Next-Best-Action Designer use the reports in the always-on approach
- Understand customer counts, validate the effect of changes to engagement policies and Al controls, and visualize the action mix
Volume Caps
- The number of communications must be limited on a per-customer basis and total messages generated by the system over time
- Volume constraints, contact limits and suppression rules in the always-on approach to set caps
Scheduling
- Traditional Marketing Approach: Campaigns can be run as one-offs, or as recurring daily, weekly or monthly
- The always-on schedule runs at a set frequency
- Actions are marked as in or out of play using the action ‘availability' option
- Emergency schedules can be set-up as secondary schedules
- Contact policies help prevent communication fatigue in customers
Journey Guidance
- Traditional campaign journeys are long and complex, designed as deterministic journeys in which one campaign triggers the next
- The always-on approach turns managing complex journeys into managing experiences
- Logic in the channels should be minimized to focus on the overall experience.
- The steps involved in outbound communication, i.e. action flow shapes, should be limited to 2 or 3 per channel.
- Next-Best-Action combines many actions to optimize experiences,and the Pega brain to decide the next step
- Action flows shouldn't contain decision logic and should not adapt to customer or business changes
- Business hierarchies (Issues/Groups) should be used to organize business outcomes and actions for a better overall experience
Business Use Case: Always-On Outbound Customer Engagement
Introduction
- U+ Bank recently implemented the cross-sell on the web microjourney and uses Pega Customer Decision Hub™ to recommend relevant banner ads
- Combines customer information, information about their past communications, current contextual information, business rules and predicted behavior via Al, to select the Next-Best-Action (best sales offer) for each customer
- Extends these Next-Best-Action recommendations to be delivered via email to increase the customer engagement on email, measured by the click-through rate
Implementation phases include
- Proof-of-concept
- Multiple offer emails
- Contact policies
- Volume constraints
- File and database templates
Proof-of-Concept Phase
- The goal is to send a credit card offer via email to those who have been qualified
- This requires that it have email treatment and to configuring a new email channel, and enabling the always-on outbound schedule
- The Standard card offer details will be dispatched to qualified customers via email with an apply button that links the bank
Subsequent Phases
- The bank plans to include more credit card offers to be promoted via email and to determine prioritization via Al
- Introduce contact policy rules to ensure that a customer does not receive the same offer message twice within a period of time
- It department has imposed a restriction on the number of emails that can be sent in a day, limit to the quantity of outbound emails
- Shares action details with third-party email distributor instead of a direct connection
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Description
This document covers legal protections, the role of Pega service consultants, caveats regarding documentation accuracy, and the implications of using Pega Customer Decision Hub. It also highlights how Pega leverages data and AI to improve customer engagement.