
Customer Decision Hub Microjourneys
A Microjourney™ is the Pega approach to tackling problems; by breaking an end-to-end customer journey into smaller pieces so you can deliver meaningful value quickly in a MLP (Minimum Lovable Product).
Featured Microjourneys

CUSTOMER DECISION HUB
Inbound for Digital Channels
Organizations often struggle to personalize every aspect of the digital experience for each individual. They simply can’t move fast enough to calculate hundreds of propensity scores in real-time, so they have to use pre-defined segments, rules, and scores to make decisions. They fail to leverage that person’s context, in the moment, so their offers and messages miss the mark, leaving hundreds of millions of dollars on the table.

CUSTOMER DECISION HUB
Omnichannel Outbound
Organization’s systems were built to sell at scale – not to analyze individual context, identify problems, and resolve them before they become an issue. Data gets trapped in siloed applications and churn signals get missed. The only option is to rely on a reactive approach, hoping customers will call in when there’s an issue, and that they’ll have a chance to save them.

CUSTOMER DECISION HUB
Next-Best-Action Advisor
A streamlined, consistent, and connected CX is table-stakes in today’s market – but many enterprises often fail to deliver on that promise. They‘ve built a 360o view to “know” their customers, but struggle converting that data into relevant actions that can save churning customers and expand high-value relationships.

CUSTOMER DECISION HUB
Paid Media Manager
Advertisers have relied on third-party data and intelligence to power their digital advertising programs for years. However, those capabilities have been declining with increases in consumer privacy technology and will eventually disappear. It’s time to make the switch. Pega’s Paid Media Manager optimizes digital advertising within modern ad platforms by leveraging all the first-party data and intelligence you already have from owned channels to deliver highly-relevant, propensity-driven experiences on paid channels.