A customer data platform with AI enables companies to gather, integrate, process and act on customer data in a single solution from various sources. With businesses engaging customers on websites, mobile apps, social media channels, email campaigns and customer service platforms, it's become even more complex to manage large amounts of data.
Top AI-Powered Customer Data Platforms 2026
AI-powered customer data platforms help businesses unify customer information and improve engagement decisions through intelligent analysis. With a focus on data integration, audience insight, personalization support and privacy control, they support stronger customer understanding and more effective marketing execution.
Solutions
Braze
Turning Live Customer Context into Action
Bill Magnuson, Co-Founder and CEO
Customer data has a shelf life. A purchase completed minutes ago can make the next promotion irrelevant, while a sudden change in behavior can alter what the brand should say before the next scheduled data refresh arrives. The challenge is not simply collecting more information. It is acting while the context is still current.
State of Industry
Leadership Perspective
Giant Eagle, Inc.
Elevating Customer Journeys with AI
Brian Marzullo, Sr. Director Loyalty, Digital Marketing & Marketing Operations
Brian Marzullo serves as Senior Director of Loyalty, Digital Marketing and Marketing Operations at Giant Eagle. He leads loyalty strategy, CRM, digital marketing, media, and in-store communication, focusing on personalization and connected omnichannel experiences that deepen customer relationships and deliver measurable business impact.
AI-Powered Customer Data Platforms Info
Q1
What Do Top AI-Powered Customer Data Platforms Help Marketing Teams Do?
Top AI-Powered Customer Data Platforms bring customer information together so marketing teams can turn changing behavior into timely action. They can connect data from warehouses, applications, websites and operational systems, maintain evolving customer profiles, build audiences and activate information across digital channels. The emphasis is increasingly on usable context rather than simply accumulating records. For organizations managing complex customer journeys, Top AI-Powered Customer Data Platforms can help shorten the path between a customer action and the next relevant interaction.
Q2
Why Are Top AI-Powered Customer Data Platforms Becoming More Important?
Customer behavior can change faster than traditional data refresh and campaign cycles. A purchase, product interaction or change in engagement can make an audience definition outdated within hours or minutes. Top AI-Powered Customer Data Platforms address this problem by supporting real-time or near-real-time data activation, dynamic segmentation and automated decisioning. Demand is also being driven by the growing expectation for personalized experiences across multiple channels and the need to make first-party data more useful as AI becomes more central to marketing operations.
Q3
Why Was Braze Recognized as a Top AI-Powered Customer Data Platform in 2026?
MarTech Outlook recognized Braze as a Top AI-Powered Customer Data Platform in 2026. Its recognition is tied to an architecture that connects customer data with engagement rather than treating data management and activation as separate processes. The Braze Data Platform can work with existing data environments while using capabilities such as Cloud Data Ingestion, CDI Segments and Zero-Copy Canvas Triggers to activate customer information. Its approach also combines evolving profiles, cross-channel orchestration and AI-based decisioning.
Q4
What Should Organizations Evaluate When Choosing AI-Powered Customer Data Platforms?
Organizations should examine how well a platform fits the existing data architecture, how quickly customer information can be activated and how effectively profiles remain current. Top AI-Powered Customer Data Platforms should also be assessed for identity resolution, segmentation, data governance, integration depth, analytics and cross-channel orchestration. AI capabilities require particular scrutiny. Decision-makers should determine whether AI can use current first-party context, support defined business objectives and operate within appropriate controls rather than simply generate content. Implementation complexity, data duplication and the effect on existing workflows also matter.
Q5
How Are Top AI-Powered Customer Data Platforms Using AI Beyond Personalization?
AI is moving customer data platforms beyond static segmentation toward individualized decisioning. Top AI-Powered Customer Data Platforms can use behavioral signals, purchase history and other first-party information to determine variables such as content, offers, channels and timing. BrazeAI Decisioning Studio, for example, uses reinforcement learning to adapt decisions around defined business objectives, while BrazeAI Operator and Agent Console extend AI assistance into campaign and engagement workflows.
Q6
How Does Braze Connect Customer Data, AI and Engagement?
Braze combines its Data Platform with customer profiles, journey orchestration and AI-based decisioning so that new engagement signals can inform subsequent actions. Its platform supports data flows between warehouses and engagement systems, while Currents can stream engagement events back into broader analytics and storage environments. MarTech Outlook's 2026 recognition therefore, centers on the connection between live customer context and action, rather than data collection alone.
