Adobe Experience Cloud · Data
Adobe Analytics + Customer Journey Analytics
Adobe Analytics is Adobe's enterprise digital analytics platform — more powerful than Google Analytics 4 on advanced attribution, segmentation and multi-channel. Customer Journey Analytics (CJA) is its modern evolution on Adobe Experience Platform (AEP), with raw cross-channel data. WolfSellers implements both and runs AA → CJA migrations as part of the enterprise Adobe roadmap.
Definition
What is Adobe Analytics?
Adobe Analytics is Adobe's enterprise digital analytics platform — since 2009, positioned as the premium alternative to Google Analytics for operations that need: advanced multi-touch attribution, server-side segmentation with no sampling, virtual report suites, native integration with Adobe Target and personalization, and serious compliance (no sampling, 100% ingestion).
Customer Journey Analytics (CJA) is the modern evolution: same analytical engine but fueled by raw data from Adobe Experience Platform (AEP), enabling cross-channel analysis on a real 360° profile — web + mobile + offline + CRM.
Decision
Classic Adobe Analytics vs Customer Journey Analytics
Adobe is pushing CJA as the future. But Adobe Analytics is still valid for web-only operations.
- Adobe Analytics: web + mobile app tracking via Adobe SDK. Ideal if the core is digital analytics, without CRM / offline / other sources.
- Customer Journey Analytics: cross-channel analysis on raw data in AEP. Ideal if you already have AEP + Real-Time CDP (or plan to), and value comes from merging web + offline + CRM + product analytics in one view.
- Coexistence: many clients run both for 2-3 years — AA for existing operational dashboards, CJA for new cross-channel analysis. Adobe doesn't force immediate migration.
Capabilities
What Adobe Analytics solves vs Google Analytics
The big advantage of Adobe Analytics over GA4 is depth of analysis without sampling.
- 100% ingestion: no sampling, all session/event data lives in the system
- Virtual Report Suites: persistent segments that behave as virtual report suites
- Analysis Workspace: real BI flexibility, not rigid dashboards
- Data-driven attribution with Adobe Sensei (algorithmic, not last-click)
- Server-side segmentation with advanced builder (sequences, complex funnels)
- Native integration with Adobe Target, Marketo, Journey Optimizer (audience activation)
- Cohorts, flow reports, advanced fallout analysis
- Data export API + Data Warehouse for external BI
Delivery
What we do on an implementation
A new implementation takes 2-4 months for Adobe Analytics, 4-8 months for CJA (requires AEP + XDM schemas).
- Data layer definition: business events, parameters, taxonomy
- Tracking implementation: Adobe Tags (formerly Launch) with rules and data elements
- AppMeasurement library or Web SDK based on stack modernity
- For CJA: XDM schemas, data sources, identity graph on AEP
- Virtual Report Suites + Calculated Metrics + Segments for reporting
- Analysis Workspace dashboards per team (marketing, product, operations)
- Target integration for test & learn
- Marketo / Journey Optimizer integration for audience activation
- Training + data governance playbook
Frequently asked questions
What is Adobe Analytics?
Adobe Analytics vs Google Analytics 4?
What is Customer Journey Analytics (CJA)?
How much does Adobe Analytics cost?
Can I migrate from Google Analytics to Adobe Analytics?
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