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Brief
Adobe Customer Journey Analytics

Adobe Customer Journey Analytics

Marketing Analyticsbusiness.adobe.com

Unifies customer data across every online and offline channel into a single, stitched view on Adobe Experience Platform, enabling deeper journey analysis without the variable and data limits of traditional analytics tools.

Last updated May 11, 2026 by ATDb automated enrichment · Connections updated May 13, 2026

Founded
2019
HQ
San Jose, California, United States
Connections
13

At a glance

Employees
10001+
Revenue
Part of Adobe's Digital Experience segment, which generates ~$5B+ annually
Stock
ADBE
12integrations1corporate family

About

Premium enterprise cross-channel analytics solution positioned as the next-generation analytics layer within the Adobe Experience Platform ecosystem

Adobe Customer Journey Analytics (CJA) is a productized analytics application built natively on Adobe Experience Platform (AEP), designed to give enterprises a comprehensive, single-customer view across all online and offline touchpoints. Unlike the legacy Adobe Analytics product, CJA leverages AEP's unified data layer to stitch together behavioral, transactional, and operational data from virtually any channel — including web, mobile, call center, CRM, point-of-sale, and more — enabling analysts to understand the full customer journey without data silos. CJA is one of four flagship applications on Adobe Experience Platform, alongside Real-Time CDP, Adobe Journey Optimizer, and Adobe Mix Modeler. It provides a highly flexible, drag-and-drop workspace interface (inherited and evolved from Adobe Analytics' Analysis Workspace) that allows business analysts and data scientists to build custom attribution models, perform cohort analysis, flow and fallout analysis, and apply AI/ML-powered insights through Adobe Sensei. The platform supports unlimited variables and dimensions, removing many of the constraints present in traditional Adobe Analytics implementations. In the broader AdTech and MarTech ecosystem, CJA competes with tools like Google Analytics 4 (with BigQuery), Mixpanel, Amplitude, and Heap, but differentiates itself through deep integration with the Adobe Experience Cloud suite, enterprise-grade governance, and its native connection to AEP's Real-Time Customer Profile. It is primarily targeted at large enterprises already invested in the Adobe ecosystem, making it a critical component of Adobe's strategy to consolidate marketing measurement and analytics within its platform.

Business model

SaaS

Target market

Enterprise

What they offer

  • Analysis Workspace

    Drag-and-drop interface for building custom reports, visualizations, cohort tables, flow diagrams, and fallout funnels across cross-channel data

  • Cross-Channel Stitching (Identity Stitching)

    Probabilistic and deterministic identity resolution that connects anonymous and authenticated user behavior across devices and channels

  • Custom Attribution IQ

    Flexible, model-based attribution allowing analysts to apply algorithmic, time-decay, linear, and custom attribution models across any dimension

  • Data Views

    Virtual configuration layers that allow teams to define metrics, dimensions, and filters on top of AEP datasets without modifying underlying data

  • Filters and Segmentation

    Advanced audience segmentation and filter builder that can be shared across Adobe Experience Cloud applications

  • Adobe Sensei AI Insights

    AI/ML-powered anomaly detection, contribution analysis, and intelligent alerts built into the analytics workflow

  • Report Builder for CJA

    Excel add-in that allows analysts to pull CJA data directly into spreadsheets for custom reporting

  • Streaming Media Analytics

    Specialized tracking and analysis for audio and video consumption across streaming platforms

  • Guided Analysis (Product Analytics)

    Templated, guided views for product teams to analyze retention, funnel conversion, engagement trends, and feature adoption

Key features

Native integration with Adobe Experience Platform and Real-Time Customer ProfileUnlimited variables, dimensions, and metrics (no prop/eVar limits)Cross-channel identity stitching (deterministic and probabilistic)Drag-and-drop Analysis Workspace with advanced visualizationsCustom and algorithmic attribution modelingAI-powered anomaly detection and contribution analysis via Adobe SenseiData Views for virtual metric and dimension configurationSupport for any data source connectable to AEP (CRM, POS, call center, etc.)Cohort analysis, flow analysis, and fallout analysisAudience publishing back to AEP for activation

Use cases

Cross-channel customer journey mapping and analysisMulti-touch attribution across online and offline channelsChurn prediction and retention analysis using cohort toolsProduct analytics and feature adoption measurementOmnichannel funnel analysis including call center and in-store interactionsAudience segmentation and publishing for personalization campaignsMedia and streaming content performance analysisB2B account-level journey analysisMarketing mix and campaign effectiveness measurement

Customer segments

Large enterprise retail and e-commerce brandsFinancial services and banking institutionsMedia and entertainment companiesHealthcare and life sciences organizationsTravel and hospitality brandsTelecommunications companiesB2B technology and SaaS companiesExisting Adobe Analytics enterprise customers migrating to AEP

Tech & specs

Technology stack

Adobe Experience Platform (AEP)Adobe Experience Data Model (XDM)Apache Kafka (streaming data ingestion)Apache Parquet (data storage format)Adobe Sensei (AI/ML engine)RESTful APIsAdobe I/O (developer platform)Identity Service (AEP)Query Service (AEP / SQL access)Web SDK / AppMeasurement.js (data collection)

Security & compliance

SOC 2 Type IIISO 27001GDPRCCPAHIPAA (with BAA)FedRAMP (via AEP)Privacy Shield successor frameworksPDPALGPD

Deployment

Cloud

API

Yes

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