Insights into every customer, journey, and moment.
As part of Adobe CX Analytics, Customer Journey Analytics connects customer identities and interactions across channels, devices, and time for holistic, AI-powered analyses that deliver precise and actionable customer insights.
Explore the benefits of Customer Journey Analytics.
Powered by AI and built for scale, Customer Journey Analytics transforms billions of data points into customer‑level insights in milliseconds—empowering every team to make smarter decisions and deliver better experiences.
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Customer-level insights with speed, scale, and efficiency.
Customer Journey Analytics synthesizes customer identity and engagement by connecting and standardizing behavioral and trait-based data to deliver fast, comprehensive insights grounded in the full-journey context.
Unify customer data across channels and devices — both online and offline — and assign it to a single profile to visualize how each customer moves through their journey.
Run analyses with a modern data framework that supports all customer data types in their natural state and without loss of detail or structure.
Analyze integrated marketing performance by connecting customer engagement across campaigns, channels, and content.
Leverage intuitive, drag‑and‑drop visualizations and self‑serve tools that enable rapid insight discovery and on‑demand reporting.
Easily integrate data with an adaptable framework that eliminates typical manual constraints. This advanced model simultaneously supports event, profile, and look-up data with on-demand self-serve capabilities and reinforced with enterprise-level data governance.
Adjust your data views and fields right within the UI to help answer business questions as they arise.
Update your analyses, make changes, and fix data errors — instantly, retroactively, and non-destructively — without a lengthy IT cycle.
Empower non-technical users to easily create custom data views without impacting the underlying dataset, freeing up analysts’ time from ad hoc reporting requests.
Give teams across the organization secure and controlled access to customer data with a patented data governance framework.
Transform your growing amount of customer data into high-quality, scaled intelligence using built-in agentic AI, generative AI and machine learning (ML).
Let agentic AI automatically produce insights and user-friendly captions and transform your analyses into presentation-ready slides.
Accelerate insight discovery with AI‑ready access to Customer Journey Analytics that lets assistants and custom apps surface and act on journey insights faster.
Evaluate the lift and confidence of any experiment with AI/ML-supported analysis of customer interactions and outcomes.
Leverage natural language to query data and answer questions such as, “What are my top 10 pages?” and “Which products have the highest revenue?” Use algorithmic attribution to compare marketing channels to determine those responsible for specific conversions.
Turn large language model (LLM) interactions into measurable, actionable insights and bring deeper understanding, optimization, and transparency to AI‑driven touchpoints.
Convert raw prompts, responses, and conversations into structured signals that reveal sentiment, intent, and engagement patterns across the journey.
Connect AI‑driven interactions to downstream actions like conversions, revenue, or pipeline influence.
Measure and improve AI‑driven experiences with the same rigor as any traditional digital channel.
Activation and integration tools let you quickly put insights to work improving customer experiences and maximizing ROI.
Publish enriched audience profiles, measure campaign element performance across channels, and incorporate reporting in critical workflows.
Define rich audiences based on trait and historical behavior data and share them for activation and orchestration in Adobe Real-Time CDP and Adobe Journey Optimizer. Then, re-ingest results for further analysis and audience insights.
Enable AI assistants and custom apps to tap into Customer Journey Analytics intelligence and turn customer insights into immediate action.
Give marketing and sales teams cross-channel data visualization and actionable insights across the B2B customer lifecycle — at the individual stakeholder, buying group, account, and opportunity levels.
Optimize account marketing. Analyze and explore the impact of campaigns, channels, and content on buying groups, sales pipeline, upsell and cross-sell opportunities, and account health.
Grow key accounts. Monitor customer lifetime value and identify high-value touchpoints across key buying groups to inform the next-best marketing and sales actions.
Build product value. Measure the impact of product releases and usage on customer satisfaction to inform feature and capability optimizations at both the account and user level.
Visualize account journeys. Use visualization tools to shape strategies that personalize and optimize opportunity, buying group, and account experiences, which further drive engagement, conversions, and pipeline acceleration.
Adobe Customer Journey Analytics is a cross-channel analytics application built on Adobe Experience Platform. It gives brands a complete, real-time view of the customer journey by combining online and offline data, resolving identities, and enabling visual, AI-assisted exploration at scale. Here’s some of what it can do:
Support flexible, ad hoc analysis with no-code tools and retroactive data manipulation
Use AI and ML to discover insights, predict outcomes, and surface next-best actions
Designed for business users, not just analysts
Customer Journey Analytics is purpose-built for enterprise teams who need to align marketing, product, and analytics on a single source of truth. It’s especially valuable for:
CMOs and marketing leaders who need to:
Optimize journeys across paid, owned, and earned channels
Measure campaign performance at the creative and audience level
Access real-time insights without technical roadblocks
Product and digital teams aiming to:
Improve app, web, and in-store experiences
Understand how features impact conversion and engagement
Collaborate on data-driven optimizations
Analysts and insights teams who:
Require scale, speed, and flexibility to explore complex datasets
Need to run retroactive queries and publish live dashboards
CIOs and data leaders focused on:
Enforcing privacy and governance policies at scale
Enabling safe self-service access to governed customer data
Supporting first-party data strategies across the organization
With AI-assisted insights, retroactive data transformation, and built-in governance, Customer Journey Analytics helps marketers and business teams act faster, smarter, and with full confidence in the data.
Customer Journey Analytics helps brands overcome the biggest barriers to customer intelligence, including:
Data silos. It unifies cross-channel data into a single journey
Time-to-insight. It enables near-instant analysis and retroactive queries
Talent bottlenecks. It empowers non-technical users to self-serve insights
Privacy complexity. It lets teams apply policy-based data governance with confidence
Measurement gaps. It measures marketing, product, and content impact holistically
Traditional tools often focus on channels or sessions. Customer Journey Analytics focuses on the customer, including:
Tracking sequential behavior across channels (web, app, email, call center, in-store)
Connecting anonymous and known interactions over time
Measuring content and campaign performance tied to the full journey
While both products offer powerful analytics capabilities, they serve different purposes and are built for different scopes of insight:
Adobe Analytics is designed to measure channel and web performance, primarily focusing on digital properties like websites and mobile apps. It uses Adobe’s native data collection methods to gather event data and generate reports.
Customer Journey Analytics, on the other hand, provides a comprehensive view of the full customer journey — across online and offline channels, devices, and touchpoints — by ingesting any data source via Adobe Experience Platform.
Where Adobe Analytics typically tracks interactions based on session or cookie identifiers, Customer Journey Analytics uses person-based identity stitching to connect behaviors over time and build unified profiles.
In terms of user interface, Adobe Analytics relies on prebuilt workspace reports tailored for analysts and developers. In contrast, Customer Journey Analytics offers an interactive drag-and-drop environment that enables marketers, product teams, and analysts alike to explore data, build visualizations, and generate insights in real time.
Ultimately, Customer Journey Analytics extends Adobe Analytics into a modern, cross-channel analytics environment, empowering business teams with the flexibility, speed, and governance needed for today’s customer experience demands.
Customer Journey Analytics combines composability, scale, and usability like no other platform:
Ingests any online or offline data, structured or unstructured
Runs report-time transformations — no need to pre-define schemas
Enables self-serve exploration with AI-assisted queries
Customer Journey Analytics lets business users adjust data fields and views in real time — without reprocessing pipelines or rewriting code. Update and fix data retroactively, instantly, and non-destructively.
Modify data views directly in the UI without impacting the source dataset
Empower marketers and analysts to self-serve new questions without waiting on IT
This level of agility supports faster decision-making and continuous insight refinement.
Whether you’re optimizing a campaign or identifying churn risk, Customer Journey Analytics makes it easy to pinpoint high-value audiences based on how people engage — not just who they are.
Customer Journey Analytics connects identity and interaction data across all touchpoints — online and offline — to give you a complete, real-time view of the customer journey.
Track every step sequentially across channels with visualizations that show full context
Analyze what drives engagement, drop-off, or conversion — at every stage
Compare paths taken by different customer segments to uncover friction or missed opportunities
Use AI-assisted analysis to surface key trends, anomalies, or conversion drivers
Measure and validate how content, campaigns, and product changes impact the journey over time
With this full-journey context, business teams can shift from reactive reporting to proactive experience design — improving outcomes across acquisition, engagement, and retention.
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