Introducing Adobe CX Analytics: The AI-powered intelligence engine for the modern experience enterprise.

Lily Chiu-Watson

04-20-2026

Every marketer and digital leader knows that you can’t improve what you can’t measure. But in an era where customer experiences span a myriad of channels and touchpoints, traditional, siloed analytics often leave key insights on the table.

Adobe CX Analytics unifies Adobe’s comprehensive Analytics portfolio into an AI-powered horizontal intelligence solution that connects every experience and decision across the enterprise. Rather than treating analytics as an after-the-fact reporting tool, Adobe CX Analytics ensures measurement and AI are built into the foundation of your content, marketing, and brand strategies from the start, making data-driven analysis and optimization a continuous part of business operations.

Adobe CX Analytics: One intelligence layer, enterprise-wide impact.

Historically, analytics functions have grown in silos — one tool for web analytics, another for digital paid media, another for offline, and so on. This made sense when each new capability arrived as a separate application.

Today, however, customer experience orchestration connects content, engagement, and brand visibility in one seamless continuum. Customer experience is no longer about only managing journeys. It’s about coordinating how content is created and activated, how customer intent is understood and acted on, and how the brand appears consistently across every interaction. This unified measurement layer doesn't just aggregate data — it feeds real-time, AI-driven insights into the applications where teams work, so optimization becomes continuous rather than periodic.

Adobe CX Analytics is a single source of truth and insight that spans the pillars of customer experience orchestration, breaking down barriers to data and decision-making. This unified approach means every content strategy, customer journey, marketing campaign, and brand investment starts and ends with measurement. Teams can confidently answer, “How will we measure success, learn, and adapt?” at every step. It’s a strategic shift that turns analytics into the intelligence system for the customer experience, rather than just a dashboard you check long after the window to optimize has passed.

Crucially, this horizontal measurement layer doesn’t just aggregate data — it actively drives better outcomes across your organization:

Democratizing insights with AI and proactive intelligence.

Making analytics ubiquitous is not only about connecting data — it’s also about making insights effortless to access, comprehend, and act on. Adobe CX Analytics is supercharged with generative AI capabilities designed to put advanced analytics in the hands of every CX professional, from marketing analysts to content owners to operations teams to CMOs.

The entire business can now operate with the proficiency of a skilled analyst using natural language queries and AI-powered guidance. As CX teams grow more diverse, we’re creating a living canvas where insights emerge proactively, questions are answered in natural language, and the right teammates are pulled in easily to collaborate and act. When lift drops or ROI shifts, insight becomes action in real time — performance, media, content, and finance aligning in one place — so decisions escape static decks and dashboards and instead drive faster alignment, sharper accountability, and outcomes grounded in business impact. It’s intuitive, AI-powered analytics that feels more like a conversation than a report.

At the heart of this experience is Adobe Data Insights Agent, which powers the proactive insights and natural-language exploration within the single canvas, and can also be engaged independently as an always-on virtual analyst. Infused with business context, it doesn’t just answer questions on demand — it guides users to the root cause and helps the entire business operate with the proficiency of a skilled analyst using simple, natural language.

Behind the scenes, open connectivity via Model Context Protocol (MCP) servers allows Adobe CX Analytics to securely feed insights directly into AI assistants. Whether using the Adobe Marketing Agent in Microsoft Copilot, Claude, ChatGPT, and Gemini, or a custom-built agent, teams can access data-driven answers in the places they already work. By eliminating traditional bottlenecks like complex schema creation or structured query language (SQL) construction, Adobe CX Analytics allows any user to explore data and access governed, privacy-compliant contextual customer insights instantly within their productivity and collaboration apps. This is precision democratization at an enterprise scale.

Smarter experiences, stronger outcomes.

When analytics is everywhere, smarter and more relevant experiences follow. Marketers can optimize every campaign and journey in-flight, content teams can create fewer but higher-impact assets, and executives can make brand investments with data-backed confidence.

Perhaps most importantly, this unified analytics layer amplifies Adobe’s strategic differentiation. While point solutions might offer depth in one isolated area, Adobe offers breadth and intelligence across all customer touchpoints. Adobe CX Analytics embodies our vision of smarter personalized experiences, powered by one continuous intelligence layer. By delivering real-time, actionable insights across the enterprise, Adobe is empowering organizations to turn every customer interaction into an opportunity for learning and performance improvement.

Lily Chiu-Watson is Senior Director of Product Marketing for Adobe CX Analytics. Her areas of expertise include AI/ML for marketers, site optimization, and omni-channel analytics. She is also the co-author of “Adobe Target: Classroom in a Book”, published by Adobe Press. Prior to joining Adobe, Lily worked closely with customers at several companies in leadership roles spanning product management, marketing, and consulting.

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