Documentation changes
Last update: February 13, 2025
- Topics:
- Release Notes
This page lists significant changes made to the Adobe Target product documentation.
Updates
Target Standard/Premium 25.2.1 (February 17, 2025)
Date | Topic | Changes |
---|---|---|
February 13 | Target release notes (current) | Changed the Target Standard/Premium 25.2.1 user interface update release to February 17, 2025. |
February 12 | Visual Experience Composer options | Updated entire topic to explain the updated VEC introduced in the Target Standard/Premium 25.2.1 release (February 12, 2025). |
Supported browsers | Added information about which browsers are supporting in a Target implementation using the Adobe Experience Platform Web SDK. | |
Visual Experience Composer changes | New article to explain the differences between the previous and updated versions of the VEC. | |
Target release notes (current) | Added release notes for the Target Standard/Premium 25.2.1 user interface update (scheduled for February 17, 2025). Many articles were updated to reflect the UI changes. |
Target Standard/Premium 25.1.1 (January 9, 2025)
Date | Topic | Changes |
---|---|---|
January 27 | Target release notes (prerelease) |
Added prerelease notes for the following updates:
|
January 22 | Visual Editing Helper extension | The new Visual Editing Helper Extension now supports Private Chrome Web Stores. A note was removed indicating that customers using Private Chrome Web Stores continue using the legacy Visual Experience Composer helper extension. |
January 7 | Target release notes (current) | Added release notes for the Offers Library user interface update (scheduled for January 9, 2025). All Offers articles were updated to reflect the UI changes. |
Previous pageSystem status updates and proactive notifications
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Target
- Adobe Target Business Practitioner Guide Home
- Target release notes
- Introduction
- Introduction to Target
- Access Target from the Adobe Experience Cloud
- Target key concepts
- Understand the Target UI
- Adobe Target welcome kit
- Target welcome kit overview
- Chapter 1: Introduction
- Chapter 2: Target at a glance
- Chapter 3: Develop your testing and personalization ideas
- Chapter 4: Tips for using Target
- Chapter 5: Inspiration for testing and personalization activities
- Chapter 6: Easily avoidable pitfalls
- Chapter 7: Create and run your first Target activity
- Chapter 8: Communicate your activity results
- Chapter 9: Next steps and resources
- Glossary
- How Target works
- Training and certification
- Training videos for Target Standard and Premium
- Target optimization and personalization FAQ
- Administer Target
- Implement Target
- Integrate Target with the Experience Cloud
- Adobe Analytics as the reporting source for Target (A4T)
- A4T overview
- Before you implement
- Analytics for Target implementation
- User permission requirements
- Create an activity that uses Analytics as the reporting source
- A4T support for Auto-Allocate and Auto-Target activities
- Use an Analytics tracking server
- A4T reporting
- Troubleshooting the Analytics and Target integration (A4T)
- A4T Frequently Asked Questions
- Expected data variances between Target and Analytics when using and not using A4T
- Integrate Target with Adobe Customer Journey Analytics
- Integrate Target with Adobe Journey Optimizer (AJO)
- Experience Cloud Audiences
- Integrate Target with Adobe Experience Manager (AEM)
- Integrate Target with Adobe Audience Manager (AAM)
- Integrate with Real-time Customer Data Platform
- Integrate Target with Adobe Campaign
- Adobe Analytics as the reporting source for Target (A4T)
- Activities
- Activities overview
- Target activity types
- A/B Test
- Auto-Allocate
- Auto-Target
- Automated Personalization
- Automated Personalization overview
- Random Forest Algorithm
- Create an Automated Personalization activity
- Upload data for the Target personalization algorithms
- Data collection for the Target personalization algorithms
- Estimate the traffic required for success
- Preview experiences for an Automated Personalization test
- Target Automated Personalization offers
- Manage exclusions
- Offer reporting groups in Automated Personalization
- Select the control for your Automated Personalization or Auto-Target activity
- Automated Personalization FAQ
- Troubleshoot Automated Personalization
- Experience Targeting
- Multivariate Test
- Recommendations activity
- Edit an activity or save as draft
- Priority
- Activity settings
- Success metrics
- Activity change log
- Troubleshoot activities
- Activity QA
- Audiences
- Experiences and offers
- Experiences and offers overview
- Visual Experience Composer (VEC)
- Visual Experience Composer overview
- Visual Experience Composer options
- Visual Experience Composer changes
- Include the same experience on similar pages
- Multipage activity
- Activity collisions
- Modifications
- Element selectors used in the Visual Experience Composer
- Mobile viewports for responsive experiences
- Visual Experience Composer best practices and limitations
- Troubleshooting the Visual Experience Composer
- Troubleshooting the Visual Experience Composer overview
- Troubleshooting the Visual Experience Composer and Enhanced Experience Composer
- Troubleshooting the Visual Experience Composer
- Troubleshooting the Enhanced Experience Composer
- Enabling mixed content in your browser
- Page modification scenarios
- Visual Editing Helper extension
- Visual Experience Composer helper extension
- Redirect to a URL
- Creating carousels that work in the Visual Experience Composer
- Form-Based Experience Composer
- Single Page App (SPA) Visual Experience Composer
- Offers
- Reports
- Recommendations
- Recommendations overview
- Introduction to Recommendations
- Plan and implement Recommendations
- Entities
- Criteria
- Criteria overview
- Create criteria
- Create criteria sequences
- Base the recommendation on a recommendation key
- The science behind Target’s recommendations algorithms
- Upload custom criteria
- Dynamic and static inclusion rules
- Use a backup recommendation
- Work with multi-value attributes
- Use Adobe Analytics with Recommendations
- Design
- Activity
- Recommendations as an offer
- Frequently asked questions
- Recommendations Classic documentation
- Troubleshoot Target
- Target APIs
- Resources and contact information