01 · Customer-level analysis
Customer-level insights, with speed and scale.
Online and offline data unified in one profile, a framework that accepts every data type without losing detail, plus drag-and-drop visualizations.
Adobe Customer Journey Analytics
Analysis of each journey by person, across channels and over time.
DIGITAL HUB connects the sources, implements and operates Adobe Customer Journey Analytics, including the move from Adobe Analytics, as part of Personalization at Scale.
Identities and interactions connected across channels, devices and time, for complete AI analysis and precise, actionable customer insights.
Customer-level analysis
Online and offline data turned into customer-level insights.
Adobe Customer Journey Analytics is part of Adobe CX Analytics: it connects identities and interactions across channels, devices and time, and turns billions of data points into customer-level insights so every team can decide with more confidence.
It runs on Adobe Experience Platform and ingests any online or offline data source, connecting web, app, call center and physical store by person identity, not by session or cookie.
- Reports reshaped at analysis time, without collecting the data again or changing the source dataset.
- Audiences shared with Adobe Real-Time Customer Data Platform and Adobe Journey Optimizer, with results returned for analysis.
- LLM interactions measured with the same rigor as any digital channel.
Capabilities
Adobe Customer Journey Analytics capabilities.
From customer-level analysis to actionable intelligence, with AI at every step.
02 · Data flexibility and control
Flexibility and control of the data.
Data views and fields adjusted in the interface, retroactive non-destructive corrections and data governance for secure access by every team.
03 · Agentic insights
AI-accelerated insight discovery.
Agentic AI that produces insights and presentation-ready slides, natural-language questions, experiment analysis and algorithmic attribution.
04 · LLM insights
LLM engagement in the journey.
Prompts, answers and conversations turned into signals of sentiment, intent and engagement, tied to conversions, revenue and pipeline.
05 · Actionable intelligence
Insights applied to the experience.
Enriched audiences published for activation, cross-channel campaign performance and intelligence available to AI assistants and applications.
06 · Conversation Insights (announced by Adobe)
Every customer conversation, a measurable signal.
A capability announced by Adobe to turn customer conversations into signals that can be measured in the journey.
Who it’s for
- 01
CMOs and marketing leaders
Journeys across paid, owned and earned channels, and campaign performance without waiting on IT.
- 02
Product and digital teams
How each feature affects conversion and engagement in the app, on the web and in store.
- 03
Analysts and insights teams
Retroactive queries and self-service exploration at scale, instead of fixed reports.
- 04
CIOs and data leaders
Policy-based governance with self-service, secure access to the same data.
Adobe ecosystem
Stronger with the rest of Adobe.
Adobe positions Adobe Customer Journey Analytics as a sibling application on Adobe Experience Platform, with integrations that carry insights into audiences and journeys, inside the Adobe CX Analytics portfolio.
Foundation
Adobe Experience Platform
Online and offline data, and governance.
Data
Adobe Real-Time Customer Data Platform
Profiles enriched with cross-channel insights.
Journeys
Adobe Journey Optimizer
Real-time insights carried to the channels.
Analytics
Adobe Analytics
Analysis focused on web and app.
Agentic AI
Adobe CX Enterprise Coworker
Applications connected in one workflow.
DIGITAL HUB with Adobe Customer Journey Analytics
From connected data to ongoing decisions.
- 01
Implementation
Online and offline sources in Adobe Experience Platform, with identities, connections and data views configured.
- 02
Integration
Adobe Analytics data brought in through the source connector, and audiences linked to Adobe Real-Time Customer Data Platform and Adobe Journey Optimizer.
- 03
Personalization at Scale
Adobe Customer Journey Analytics measuring the brand’s Personalization at Scale.
Personalization at Scale → - 04
Evolution and operations
Squads that expand sources, analyses and audiences after launch, with Arc in the delivery.
Arc · how we deliver
Arc is our AI-first delivery model.
Specialists lead, and AI speeds up every stage, from assessment to ongoing operations.
Frequently asked questions
Adobe Customer Journey Analytics in a few answers.
How is it different from Adobe Analytics?
They are sibling products in Adobe CX Analytics. Adobe Analytics measures web and mobile with its own collection. Adobe Customer Journey Analytics runs on Adobe Experience Platform, ingests online and offline data and connects channels by person identity. Many companies use both.
Does it require Adobe Experience Platform?
Yes. Adobe Customer Journey Analytics is built on Adobe Experience Platform; data arrives through web and app SDKs, offline sources or Adobe Analytics report suites.
How do you bring in Adobe Analytics data?
Through the Adobe Analytics source connector, which takes report suite data into Adobe Experience Platform without reinstrumenting the site or the app. They then become connections organized in data views.
Does flexibility come at the cost of governance?
No. Fields, session definitions and views change at report time, without altering the source, and the governance controls inherited from Adobe Experience Platform stay with that flexibility.
Does it connect with Adobe Real-Time Customer Data Platform and Adobe Journey Optimizer?
Yes. Audiences defined in Analysis Workspace are shared directly for activation and orchestration, and the results come back for analysis.
How does DIGITAL HUB work with Adobe Customer Journey Analytics?
We connect the sources, implement, integrate and operate Adobe Customer Journey Analytics, including the move from Adobe Analytics.