You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: help/release-notes/latest.md
+3-2Lines changed: 3 additions & 2 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -58,10 +58,11 @@ These release notes cover the July 2026 release period. Adobe Customer Journey A
58
58
| -----------|-----------|-----------|
59
59
|**Sub-event analysis** <br/>[Sub-event analysis](/help/components/segments/sub-event.md) lets you analyze data at a level more granular than the event level. Instead of filtering on entire events, you can segment on individual containers within an event. <p>For example, you can segment on a specific product category without including all other products purchased in the same order. You can also define objects or arrays that are part of your event data as separate [custom containers](/help/data-views/create-dataview.md#custom-containers) within a data view. | July 21, 2026 | End of July, 2026 |
60
60
|**B2B Edition: Support for ad hoc and relational datasets** <br/>Ad hoc and relational datasets are now also supported in account-based connections in Customer Journey Analytics B2B Edition.<p>(Documentation link to follow.)</p> || July 20, 2026 |
61
+
|**CX Enterprise Coworker: Analyze Customer Journey Analytics data** <br/>Adobe CX Enterprise Coworker Chat can now perform advanced data analysis that was previously possible only in Analysis Workspace. Coworker Chat accesses data from your Customer Journey Analytics data views, allowing you to explore that data and get answers to natural-language prompts.<p>For more information, see [Analyze Customer Journey Analytics data with Coworker Chat](https://experienceleague.adobe.com/en/docs/cx-enterprise-coworker/content/chat/analytics-chat).</p> || July 23, 2026 |
62
+
|**CX Enterprise Coworker: Validate your data when migrating from Adobe Analytics to Customer Journey Analytics** <br/>A new skill in CX Enterprise Coworker allows you to validate the data from your Customer Journey Analytics implementation against the data from your existing Adobe Analytics implementation. <p>This skill automatically compares each dimension, metric, and trend individually as needed. It can also compare all Adobe Analytics report suites against all Customer Journey Analytics data views. The skill then generates AI-driven insights and recommendations that you can implement to facilitate your migration to Customer Journey Analytics.</p><p>For more information, see [Validate data with Coworker when upgrading from Adobe Analytics to Customer Journey Analytics](https://experienceleague.adobe.com/en/docs/cx-enterprise-ai/experience-cloud-ai/coworker/data-validation-aa-cja).</p> || July 24, 2026 |
63
+
|**Inline classifications**<br/>[Inline classifications](/help/analysis-workspace/visualizations/freeform-table/column-row-settings/table-settings.md#inline-classifications) enable you to rename or combine rows in a freeform table. And to create a derived field from the modified rows in a table. | July 20, 2026 | July 25, 2026 |
61
64
|**Content Analytics: Paid media data** <br/>Paid media is now available as a third channel for Content Analytics.<p>(Documentation link to follow.)</p> || July 31, 2026 |
62
65
|**Connections Usage interface update** <br/>In the Usage interface when managing connections, you can now see usage details for each individual module, such as Customer Journey Analytics or Customer Journey Analytics B2B Edition. <p>Additionally, you can now break down usage reporting for each of the modules by month.</p><p>(Documentation link to follow.)</p> || July 31, 2026 |
63
-
|**CX Enterprise Coworker: Validate your data when migrating from Adobe Analytics to Customer Journey Analytics** <br/>A new skill in CX Enterprise Coworker allows you to validate the data from your Customer Journey Analytics implementation against the data from your existing Adobe Analytics implementation. <p>This skill automatically compares each dimension, metric, and trend individually as needed. It can also compare all Adobe Analytics report suites against all Customer Journey Analytics data views. The skill then generates AI-driven insights and recommendations that you can implement to facilitate your migration to Customer Journey Analytics.</p><p>(Documentation link to follow.)</p> || End of July, 2026 |
64
-
|**Inline classifications**<br/>[Inline classifications](/help/analysis-workspace/visualizations/freeform-table/column-row-settings/table-settings.md#inline-classifications) enable you to rename or combine rows in a freeform table. And to create a derived field from the modified rows in a table. | July 20, 2026 | July 25, 2026 |
0 commit comments