- 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 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
- 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
IP addresses used by Recommendations feed-processing servers
List of IP addresses used in Adobe Target Recommendations feed-processing servers to help you configure your firewall to allow IP addresses originating from Adobe servers.
Target Recommendations activities use the following AWS hosts when accessing customers’ FTP servers:
| Location | Host |
|---|---|
| Oregon | 44.241.237.28 |
| Oregon | 44.232.167.82 |
| Oregon | 52.41.252.205 |
Target Recommendations APIs also use the same AWS hosts.
NOTE
These IP addresses were last updated on March 16, 2021. Previously, the servers accessing the FTP servers were in the 192.243.242.0/24 IP address CIDR block. The servers hosting Recommendations APIs were in the 192.243.224.0/20 IP address CIDR block.
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