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Inbound for Digital Channels

Hyper-personalize every digital touchpoint

Rather than relying on segment-driven or rules-based “personalization”, Pega evaluates every customer in the moment - and delivers next best action and treatment recommendations relevant to their current situation. By leveraging a one-to-one, next best action approach to selling Customer Decision Hub clients routinely see a 3-6X increase in response/conversion rates and generate an average of $226M in incremental revenue every single year.

Know what's possible before implementing this Microjourney™

Understand the concepts and tools available to you before getting started

Activate one-to-one engagement strategies​

Industry-specific Customer Analytical Data Models

Pega Customer Analytical Data Models allow clients to jumpstart implementations using a fully formed, extensible, data model that contains all the entities and attributes needed for one-to-one engagement.

Next-Best-Action Designer

Pega Next-Best-Action Designer empowers clients to create, configure, and activate their one-to-one engagement strategies from a single interface, with 10+ years of best-practices and guardrails built directly into the software.

Next-Best-Action Designer Templates

Pega Next Best Action Designer Templates enable clients to hit the ground running, leveraging best practice configuration templates for a specific business model, industry, or use-case.​

Better determine customer needs with predictive capabilities

Prediction Studio

Pega Prediction Studio provides a dedicated home for data scientists to build new predictive (regression, decision trees, genetic algorithms, etc.) or adaptive machine-learning models to better determine customer needs and drive better business outcomes.

Open AI (PMML Imports, Real-Time AI Connectors, Integration)

Pega allows users to import any PMML-compliant, H2O-3, or H2O Driverless AI model, and execute it in real time as part of a decision strategy. Likewise, Pega can also initiate service call-outs to models created in Google Cloud Machine Learning or Amazon SageMaker, as the decision is being made –greatly increasing the accuracy, predictive power, and extensibility of your decision strategies.

Adaptive Decision Manager

Pega Adaptive Decision Manager (ADM) provides users with a closed-loop system for creating, deploying, and monitoring hundreds of machine-learning models that automatically re-factor themselves to improve their predictive accuracy and increase the relevance of your customer engagement.

Empower clients to optimize customer strategies

1:1 Operations Manager

Pega 1:1 Operations Manager provides users with a change management module to plan, build, test, and deploy changes to their next-best-action strategies –improving their ability to respond to customer needs, competitive threats, or market changes in real-time.

Interaction Summaries

Pega aggregates customer interaction history –including offer accepts, time since last interaction, counts of rejected offers, etc. –and uses that information to automatically generate and update potential predictors, making your adaptive models even more powerful.

Scenario Planner

Pega Scenario Planner empowers users to set up and simulate what-if scenarios while they’re building next-best-action strategies. This allows them to forecast results more accurately, optimize their strategies to hit specific goals, and explore potential tradeoffs in each option –all before releasing any changes into production.

Deliver with Design Thinking

Discover Pega Express

The Pega Express delivery approach uses Design Thinking to break down client needs into Microjourneys. Design Sprints leverage when problems are complex or not well defined.

Based on Agile, Pega Express delivers prioritized Microjourneys in increments known as a Minimum Lovable Product (MLP), enabling speed to value within 90 days or less. 

Explore Pega Express

Learn with Pega Academy


This course provides a functional understanding of how Next-Best-Action Designer works and how to use it.


For Delivery Architects seeking a greater understanding of the key assets available to successfully execute a 1:1 Customer Engagement implementation. 


For Project Delivery Leads seeking a greater understanding of the key assets available to successfully execute a 1:1 Customer Engagement implementation. 

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