Skip to main content

We'd prefer it if you saw us at our best.

Pega.com is not optimized for Internet Explorer. For the optimal experience, please use:

Close Deprecation Notice

Customer journey orchestration

Deliver the right message at every moment on any channel

What is customer journey orchestration?

Customer journey orchestration – especially adaptive customer journey orchestration – empowers enterprises to centrally orchestrate and connect customer experiences across all data sources and channels. Organizations are then able to optimize journeys to meet specific customer goals while giving customers personalized and relevant experiences at every stage of the customer lifecycle.

Why is adaptive customer journey orchestration important?

Adaptive journey orchestration delivers personalized experiences by responding to real-time signals, enabling pause and resume across channels, and supporting multiple customer journeys.

Benefits of adaptive customer journey orchestration

  • Omni-channel consistency: Adaptive journey orchestration uses real-time data signals to ensure seamless, consistent interactions across all channels and devices.
  • CHyper-personalization: Adaptive, non-linear journeys respond to real-time signals, enabling hyper-personalization that boosts conversions and brand loyalty.
  • Seamless cross-channel continuity: Customers can pause and resume journeys and switch channels without losing context.
  • Streamlined journey development: Adaptive journeys are faster and easier to create, reducing the need for manual and technical maintenance.

How does customer journey orchestration work?

Customer journey orchestration typically involves guiding customers through a series of interactions with a business to achieve specific goals. Traditional methods use CRM solutions to create these journeys based on predefined rules and stages, sometimes adapting to customer behavior.

Pega, however, enhances this by making the journeys more dynamic and responsive. It uses real-time customer data to continuously update and personalize the experience, allowing for real-time interactions across all channels. This approach ensures that customer interactions are more fluid and tailored to their immediate needs.

AI Orchestration How it works

Build better customer journeys with real-time decisioning

Learn more

What’s the difference between traditional and adaptive customer journey orchestration?

Traditional customer journey orchestration

  • Relies on predetermined, linear paths with rigid stages and actions that customers are expected to follow regardless of their actual behavior or preferences
  • Uses static messaging and offers, resulting in limited personalization and inability to adapt when customers deviate from expected journey paths

Adaptive customer journey orchestration

  • Uses AI and real-time decisioning to continuously adjust each customer's journey based on their behavior, preferences, and contextual signals across channels
  • Allows customers to be on multiple journeys simultaneously, pause and resume journeys, and switch channels without losing context
Challenges of EAD

Potential challenges of customer journey orchestration

While customer journey orchestration offers significant benefits, it also comes with challenges that businesses must navigate. Below are some key obstacles to consider when implementing and managing these systems.

  • Integration complexity: Integrating data from various sources can be difficult, leading to fragmented customer views and inconsistent experiences across different channels.
  • Scalability constraints: Customers can be on multiple journeys, simultaneously, making them difficult to scale when not enabled by AI-powered decisioning.
  • Resource intensity: Setting up and managing these systems can be complex and resource-intensive, requiring significant time and effort.

 

What are some use cases for customer journey orchestration?

Healthcare

Customer journey orchestration in healthcare personalizes care by adapting to patient needs, sending timely health updates, and appointment reminders. This improves treatment while ensuring a compassionate experience.

Communications

For prospects exploring a new mobile provider, a next-best-action journey uses data from website visits, retail visits, and reviews to recommend a tailored product bundle based on preferences, budget, and location.

Banking

A first-time homebuyer’s journey might involve exploring mortgage options, comparing rates, and applying for a loan, while also considering additional services like personal loans, credit cards, and savings plans.

Stylized stock image of a woman holding a tablet

Getting started with adaptive customer journey orchestration

Successfully launching a customer journey orchestration strategy requires careful planning and execution. Here’s how to lay a solid foundation and begin building truly adaptive customer experiences:

  • Begin implementing adaptive customer journey orchestration by designing seamless journeys that flow across channels and business lines.
  • Focus on continuously re-decisioning customer profiles during every interaction to deliver contextual conversations.
  • Center your approach on empathy, putting customer needs first.

Frequently asked questions on customer journey orchestration

A customer journey engine is a software platform that helps businesses design, manage, and optimize customer journeys across various channels and touchpoints. It coordinates all the interactions a customer has with a brand to create a smooth and personalized experience.

By leveraging real-time data and analytics, journey orchestration platforms can deliver highly personalized experiences based on individual customer behaviors, preferences, and past interactions, ensuring relevant and timely engagements.

Key performance indicators (KPIs) such as customer satisfaction scores (CSAT), Net Promoter Score (NPS), conversion rates, customer retention rates, and return on investment (ROI) can help measure the effectiveness of journey orchestration efforts.

Effective implementation requires cross-team collaboration, a unified view of customer data, and real-time insights to ensure cohesive and effective customer experiences across multiple channels.

Ready to learn more?

Customer Journey

Tech knowledge

Learn about customer journey management, the customer engagement practice used to manage customer interactions across channels.
Mapping Journey

Tech knowledge

Learn how customer journey mapping has adapted to the growing needs of consumers by putting them in control of their own journeys.
Omnichannel Explainer

Tech knowledge

Learn what an omni-channel customer experience is and why it's important to implement an omni-channel strategy in your business.
CRM

Tech knowledge

Discover how CRM systems automate processes and enhance customer engagement across marketing, sales, and service teams.
clv explainer

Tech knowledge

Learn about customer lifetime value (CLV), an important metric used to determine how valuable a customer is to your enterprise.
Woman using phone

Tech knowledge

Learn how real-time decisioning helps brands analyze customer interactions and personalize experiences instantly.

Blueprint your customer journeys

Bring your customer experience strategy to life with Pega Customer Engagement Blueprint™

Try now
Share this page Share via X Share via LinkedIn Copying...