What is Adobe Customer Journey Analytics?
Adobe Customer Journey Analytics (CJA) is an application built on Adobe Experience Platform (AEP) that lets you analyze every customer touchpoint - online and offline - in a single interface. Data from your website, mobile apps, call center, point of sale, and CRM is ingested into AEP as datasets, joined by a common identity, and explored in Analysis Workspace: the same analysis surface Adobe Analytics users know, now running on cross-channel data with no traffic variables, no props-versus-eVars ceiling, and no hit limits.
The practical difference from traditional web analytics: CJA answers questions that span systems. Did the customers who called support after checkout churn less? Which campaign touchpoints preceded in-store purchases? Those queries are impossible when web data lives in one tool and everything else lives in warehouses.
Adobe Analytics vs Customer Journey Analytics
Adobe positions CJA as the successor to Adobe Analytics, and new Adobe deals are sold on CJA. Here is the honest comparison teams ask us for:
| Adobe Analytics | Customer Journey Analytics | |
|---|---|---|
| Data scope | Web and app hits | Any dataset in Adobe Experience Platform: web, app, CRM, call center, POS |
| Identity | Visitor ID per report suite | Cross-channel identity stitching, configurable per connection |
| Variables | Limited eVars, props, events | Unlimited schema-defined dimensions and metrics |
| Analysis | Analysis Workspace | Analysis Workspace (same UI, cross-channel data) |
| Data model | Report suites | XDM schemas, datasets, connections, data views |
| Retroactivity | Settings apply going forward | Data views re-interpret existing data retroactively |
| Status | Maintenance-mode product; Adobe's investment is in CJA | Actively developed successor |
Neither tool measures anything by itself. The value of CJA is decided in the implementation: the schema design, the identity strategy, and the quality of the data you feed it.
CJA implementation and migration services
Data architecture and ingestion
Designing XDM schemas and bringing your sources into Adobe Experience Platform: web SDK, mobile, CRM, call center, offline files. The dataset design decides what questions you can ever answer; we design it around your questions, not around the default field groups.
Identity stitching
Cross-device and cross-channel identity rules: which IDs exist, how they join, what happens before login. We configure and then verify stitching with reconciliation reports, because a wrong identity graph silently corrupts every journey metric downstream.
Adobe Analytics to CJA migration
Mapping report suites to XDM, rebuilding key reports as data views, running both systems in parallel, and reconciling the numbers until they match within an agreed tolerance. Your team keeps its history and its trust in the data. This is the step where most migrations fail quietly; parallel verification is not optional in our process.
Data views, reporting, and activation
Building the data views, attribution models, fallout and journey analyses your teams use daily in Analysis Workspace, training those teams to self-serve, and connecting audiences onward to Adobe Real-Time CDP and Adobe Journey Optimizer where licensed.
What Customer Journey Analytics is used for
Cross-channel fallout
A retail team joins web sessions, app events, and store transactions to see where buyers actually drop between digital research and in-store purchase - a funnel no web-only tool can draw.
Support-cost attribution
Joining call-center records to digital journeys shows which site failures generate calls, and what fixing them is worth in support cost.
Marketing beyond the last click
With journeys stitched across channels and time, attribution models in CJA compare first-touch, participation, and algorithmic views of the same revenue - on all touchpoints, not just tagged pageviews.
A measurement engineering studio, not a body shop
We are engineers who verify. Every implementation ships with an acceptance checklist: events observed on the wire, identities reconciled, numbers cross-checked against the source systems. If a number cannot be trusted, we say so and fix the pipeline rather than decorate a dashboard with it. Fixed scopes, working sessions with your team instead of slide decks, and documentation your engineers can maintain after we leave.
FAQ
What is the difference between Adobe Analytics and Customer Journey Analytics?
Adobe Analytics analyzes web and app data in report suites; Customer Journey Analytics analyzes any data ingested into Adobe Experience Platform - web, app, CRM, call center, offline - joined by a common identity. CJA removes Adobe Analytics' variable limits and interprets data retroactively through data views. The analysis interface, Analysis Workspace, is the same in both.
Is Adobe Analytics being deprecated?
Adobe has not announced an end-of-life date for Adobe Analytics, but it is in maintenance mode: new capabilities ship in Customer Journey Analytics, and Adobe sells CJA as the successor. Teams on Adobe Analytics should plan a migration on their own timeline rather than under a deadline - which is exactly the planning we help with.
How long does an Adobe Analytics to CJA migration take?
A focused migration of one report suite with parallel-run verification typically spans one to three months depending on data sources and identity complexity. The duration is set less by tooling than by schema decisions and reconciliation: we run Adobe Analytics and CJA side by side until the numbers agree within an agreed tolerance before anything is switched off.
Do we need Adobe Experience Platform to use CJA?
Yes. Customer Journey Analytics runs on datasets inside Adobe Experience Platform; your data reaches it through the AEP Web SDK, source connectors, or the Adobe Analytics data connector. Part of implementation is deciding which ingestion path fits each source.
Is it hard to learn Customer Journey Analytics?
Analysts who know Analysis Workspace from Adobe Analytics are productive in CJA quickly - the interface is the same. What is genuinely new is the data model: XDM schemas, datasets, connections, and data views. We train teams on that model during implementation so self-service analysis survives our departure.
How much does CJA implementation cost?
It depends on sources, identity complexity, and how much reporting you rebuild - which is why we start with a fixed-price data audit that produces a scoped plan rather than an open-ended engagement. The audit tells you what a full implementation or migration will cost before you commit to it.
Start with the data audit
One fixed-scope audit of your current measurement: what your Adobe Analytics or CJA setup actually captures, where it is wrong, and a costed plan for implementation or migration. Delivered as a written report with findings your engineers can act on either way.