Customer.io
The customer engagement platform for high-growth SaaS and B2C brands.
The foundation for real-time customer experience management through unified data and predictive AI orchestration.
Adobe Experience Platform (AEP) is a high-scale, open system that stitches together data from across the enterprise into unified, real-time customer profiles. Built on a petabyte-scale data lake, AEP utilizes the Experience Data Model (XDM) to standardize data schemas and Adobe Sensei for advanced machine learning insights. By 2026, the platform has evolved into an AI-native orchestration engine, deeply integrating Generative AI (via Adobe Firefly and Sensei GenAI) to automate content creation and journey design. Its technical architecture leverages a distributed, event-driven model that supports low-latency identity resolution and millisecond-response segmentation. For enterprise organizations, AEP acts as the central nervous system for digital transformation, providing the necessary governance, privacy-first data handling (GDPR/CCPA/HIPAA compliance), and API-first connectivity to activate data across any channel, including mobile, web, email, and offline touchpoints. The platform's 2026 market position is defined by its ability to transition from reactive analytics to proactive, autonomous customer experience management, utilizing deep learning to predict customer intent and dynamically adjust brand interactions in real-time.
A centralized profile store that combines behavior, demographic, and offline data in milliseconds.
The customer engagement platform for high-growth SaaS and B2C brands.
The first Customer Data Platform (CDP) architected exclusively for SMB e-commerce growth.
The B2B Revenue Infrastructure Platform powering unified customer data and predictive intelligence.
The composable customer data platform powering real-time personalization with predictive AI.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A standardized schema system used across the entire Adobe ecosystem to ensure data interoperability.
Generative AI layer that automates segment creation and copy generation directly within journeys.
A SQL-based tool that allows data scientists to query the data lake using standard Postgres-compatible syntax.
Server-side data transformation engine that cleans and maps data during ingestion.
Automated data governance framework that labels data and prevents usage based on policy.
Pre-built ML models for Customer AI (churn prediction) and Attribution AI.
Websites showing generic content to returning customers with high purchase intent.
Registry Updated:2/7/2026
Deliver personalized hero banner on return visit within 500ms.
High customer attrition rates in SaaS or Subscription models.
Marketing to individuals rather than accounts in high-value sales cycles.