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Paid Media Manager

Optimize digital advertising with first-party data

Rather than relying on third-party data, Pega extends your organization’s next-best-action strategies into paid channels, including Facebook, Google, Instagram, YouTube, and more – leveraging first-party data and intelligence to deliver the optimal customer experience for known customers and prospects alike.

With this approach, you’ll eliminate wasteful ad spend, increase conversions, and identify and acquire more high-value targets.

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​

Paid Media Manager Integrations

Pega Paid Media Manager leverages direct integrations to deliver contextually relevant next-best-action ads across today’s leading ad platforms such as Google, Facebook, YouTube, and Instagram.

Next-Best-Action Audiences

Pega calculates the next best action for every customer and automatically assigns them to the most relevant audiences – including conversion and suppression – within each platform based on their propensity to engage, and how much you are willing to pay.

Lookalike Audiences

Pega uses predictive modeling and propensity scoring to generate prospecting audiences based on the shared, first-party characteristics of your best customers that power each ad platform’s lookalike capabilities. 

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


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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