Scale personalization without scaling complexity
How We Do It
Unleash AI. Jumpstart relevance. Boost conversion.
Modernize marketing, boost efficiency
Pega Customer Decision Hub transforms labor-intensive, rules-based outbound marketing into AI-powered customer conversations that scale across multiple products and channels. Centralize audience building, automate manual tasks, and reduce martech stack complexity and create dynamic customer journeys that drive acquisition and customer loyalty.
Consistent, contextual, connected experiences
Turn one-way outbound communications into genuine customer conversations that evolve with customer context in real-time across web, mobile, email, SMS, paid media, and contact centers. With adaptive AI, you can continuously optimize interactions, and adjust in the moment based on changing customer signals and behavioral patterns to maximizes conversion rates, drive higher NPS scores, and increases customer lifetime value.
Centralized decisioning for strategic growth
Deliver seamless customer experiences through centralized decisioning that enables automated A/B testing, dynamic content personalization, and optimized send-time personalization. Customer Decision Hub centralizes KPIs, metrics, and performance data to facilitate enterprise-wide alignment while transforming marketing from a cost center into a strategic growth driver.
Proven results across industries
Customer Decision Hub delivers significant business impact, showing substantial increases in incremental revenue, reduced customer churn, and improved operational efficiency across industries. Whether you're seeking operational efficiency, advancing toward omnichannel capabilities, or refining AI-powered strategies, CDH adapts to your maturity level while providing a clear roadmap for growth.
A Pega White Paper
Responsible AI: great power requires greater accountability
The benefits of AI are well established, but organizations using AI-driven systems must be accountable for their actions. Beyond the financial and legal risk of “AI gone wrong”, there is a moral obligation to improve AI.
Learn how responsible AI can set higher standards, reduce bias, and promote empathy.