{"id":2128,"date":"2026-11-12T17:26:45","date_gmt":"2026-11-12T17:26:45","guid":{"rendered":"https:\/\/iadsclick.com\/blog\/?p=2128"},"modified":"2026-11-12T17:31:08","modified_gmt":"2026-11-12T17:31:08","slug":"migrating-from-adobe-analytics-workspace-to-customer-journey-analytics-cja-a-practical-guide","status":"publish","type":"post","link":"https:\/\/iadsclick.com\/blog\/migrating-from-adobe-analytics-workspace-to-customer-journey-analytics-cja-a-practical-guide\/","title":{"rendered":"Adobe Analyticsto Customer Journey Analytics (CJA)"},"content":{"rendered":"\n

Migrating from Adobe Analytics Workspace to Customer Journey Analytics (CJA): A Practical Guide<\/h2>\n\n\n\n

Why Teams Are Moving from Adobe Analytics to CJA<\/h4>\n\n\n\n

By iAdsClick Technologies | Adobe Analytics, CJA, Target, RT-CDP and Tagging Solutions<\/em><\/p>\n\n\n\n

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.<\/p>\n\n\n\n

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

The vocabulary changes slightly, and your team should know it before migrating:<\/p>\n\n\n\n

Adobe Analytics<\/td>CJA<\/td><\/tr><\/thead>
Visits<\/td>Sessions<\/td><\/tr>
Visitors<\/td>People<\/td><\/tr>
Hits<\/td>Events<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

How the CJA Architecture Fits Together<\/h2>\n\n\n\n

A successful migration follows the data flow, not the interface. Every project we deliver is planned along this chain:<\/p>\n\n\n\n

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

    Getting step 1 and 2 right is what decides whether stakeholders trust the numbers in step 4.<\/p>\n\n\n\n

    How iAdsClick Helps You Migrate Adobe Analytics Workspace to CJA<\/h2>\n\n\n\n

    Our Adobe Analytics solutions<\/a> team and wider Adobe digital marketing practice<\/a> run migrations in clear phases.<\/p>\n\n\n\n

    1. Audit and planning<\/h3>\n\n\n\n

    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.<\/p>\n\n\n\n

    2. Data preparation for AEP and CJA<\/h3>\n\n\n\n

    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.<\/p>\n\n\n\n

    3. Connection and identity design<\/h3>\n\n\n\n

    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<\/strong> of historical Adobe Analytics data alongside new incoming data, so trend reports stay continuous.<\/p>\n\n\n\n

    4. Data View configuration<\/h3>\n\n\n\n

    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.<\/p>\n\n\n\n

    5. Workspace rebuild and training<\/h3>\n\n\n\n

    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.<\/p>\n\n\n\n

    6. Parallel run and validation<\/h3>\n\n\n\n

    We run both systems side by side, reconcile differences, and only then retire the old setup. This protects reporting continuity for leadership.<\/p>\n\n\n\n

    Collection Layer: Where CJA Projects Succeed or Fail<\/h2>\n\n\n\n

    CJA is only as good as the data entering AEP. That is why our service goes beyond reporting.<\/p>\n\n\n\n