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Migrating from Adobe Analytics Workspace to Customer Journey Analytics (CJA): A Practical Guide

Why Teams Are Moving from Adobe Analytics to CJA

By iAdsClick Technologies | Adobe Analytics, CJA, Target, RT-CDP and Tagging Solutions

Adobe Analytics has served enterprises well for years, but it was built around web hits, visits and visitors. Today your customers move across web, app, CRM, call center and offline channels, and a hit-based view cannot show that full journey.

Adobe Customer Journey Analytics (CJA) analyzes customer journeys using data from Adobe Experience Platform (AEP) datasets, without hit-based limitations. You keep the Analysis Workspace experience your analysts already know, but across every channel you collect data from.

The vocabulary changes slightly, and your team should know it before migrating:

Adobe AnalyticsCJA
VisitsSessions
VisitorsPeople
HitsEvents

How the CJA Architecture Fits Together

A successful migration follows the data flow, not the interface. Every project we deliver is planned along this chain:

  1. AEP foundation: XDM schemas, field groups, datasets and the Identity Graph.
  2. CJA Connection: select datasets, define the person ID, and set up time stitching.
  3. Data View: define metrics, dimensions and attribution, which replaces the old report suite logic.
  4. Analysis Workspace: rebuild funnels, pathing, cohorts and dashboards on top of the Data View.

Getting step 1 and 2 right is what decides whether stakeholders trust the numbers in step 4.

How iAdsClick Helps You Migrate Adobe Analytics Workspace to CJA

Our Adobe Analytics solutions team and wider Adobe digital marketing practice run migrations in clear phases.

1. Audit and planning

We review your current report suites, eVars, props, events, segments, calculated metrics and Workspace projects. We identify what is actively used, what is legacy, and what should not be carried over. A migration is also the best moment to simplify.

2. Data preparation for AEP and CJA

We design XDM schemas and field groups, create datasets, and set up ingestion. Depending on your sources, this can include batch ingestion, streaming ingestion, source connectors, or the data ingestion API. We also handle the admin permissions and connection setup these steps need.

3. Connection and identity design

We choose the right person ID, decide which datasets share the same key, and configure time stitching so cross-channel activity resolves to one person. Where needed, we plan backfill of historical Adobe Analytics data alongside new incoming data, so trend reports stay continuous.

4. Data View configuration

We rebuild your dimensions and metrics, set attribution, and use CJA capabilities such as value bucketing and turning metrics into dimensions. Schema types are no longer automatically treated as dimensions or metrics, so these choices must be made deliberately and documented.

5. Workspace rebuild and training

We recreate priority projects, segments and calculated metrics in CJA, validate them against Adobe Analytics, and train your analysts on the new terminology and workflows.

6. Parallel run and validation

We run both systems side by side, reconcile differences, and only then retire the old setup. This protects reporting continuity for leadership.

Collection Layer: Where CJA Projects Succeed or Fail

CJA is only as good as the data entering AEP. That is why our service goes beyond reporting.

  • Adobe Web SDK in Tags (Launch): we implement the Web SDK, configure the datastream, rules, data elements and extensions, and manage the publishing flow.
  • Adobe Client Data Layer (ACDL): we architect an event-driven data layer so that user actions and page context are pushed as clean, structured events that Tags can listen to reliably.
  • XDM mapping: data elements map to XDM fields so what you collect lines up with the schema you designed.

A well-architected data layer means fewer broken tags, faster releases and data every team can trust.

Beyond Analytics: Target, RT-CDP and the Full Adobe Stack

Once your journey data lives in AEP, it becomes useful for more than reporting:

  • Adobe Target: use the insights from CJA to design tests and personalization that address real drop-off points.
  • Real-Time CDP (RT-CDP): build unified profiles and audiences from the same identity and data foundation, then activate them across channels.
  • Tag solutions: one clean tagging layer feeds analytics, personalization and audiences together.

We provide a complete Adobe Analytics, CJA, Target and RT-CDP tag solution so these pieces work as one system rather than separate projects.

Related Services That Strengthen Your Data

Many clients pair CJA work with our other measurement services:

Benefits You Can Expect

  • A true cross-channel view of the customer, combining web, app, CRM and offline data.
  • Fewer reporting constraints from hit-based limits.
  • Continuity, because historical data can be backfilled and validated.
  • Cleaner governance through a documented schema, data layer and Data View.
  • Faster decisions, since analysts keep a familiar Workspace interface.
  • One foundation for analytics, Target personalization and RT-CDP audiences.

Who Should Consider This Migration?

  • Enterprises still reporting only from Adobe Analytics report suites.
  • Teams that need web and offline or CRM data in a single journey view.
  • Brands planning Adobe Target or RT-CDP and wanting a shared data foundation.
  • Organizations with a messy tagging setup that want to rebuild on Web SDK and a proper data layer.

Get Your Adobe Analytics to CJA Project Started

If you are planning a migration, or want an assessment first, talk to iAdsClick. We work with clients across India, the US, the EU and the UAE.

Contact iAdsClick Technologies for a free migration assessment.

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