Target Automated Personalization offers
- Topics:
- Automated Personalization
In an Adobe Target Automated Personalization (AP) activity, you can target offers to specific audiences.
Using this functionality reduces the number of offers a specific visitor is qualified to see. For example, consider an Automated Personalization activity that has three offers. Offer 1 has a targeting rule that limits its exposure to Audience A. Two visitors saw this activity.
Visitor 1 | Visitor 2 | |
---|---|---|
Audience qualification | Audience A | Audience B |
Offer 1 Target personalization model score | 90 | 90 |
Offer 2 Target personalization model score | 50 | 70 |
Offer 3 Target personalization model score | 80 | 60 |
In this scenario, Visitor 1 sees Offer 1 (because this visitor qualifies as part of Audience A), which is that visitor’s highest score. However, Visitor 2 sees Offer 2 even though the highest score is for Offer 1, because Visitor 2 is not part of Audience A. This example demonstrates why targeting rules should be used sparingly to meet business needs. Adding these rules can reduce the effectiveness of Target personalization models.
Set up targeting rules
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Create or edit an Automated Personalization activity containing the offers that you want to target.
-
After setting up the offers for the activity in the Visual Experience Composer, click the Manage Content icon (
The Manage Content dialog box displays.
-
Click the Offers tab.
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Select the desired offers, then choose the audiences you want to qualify to see that offer.
To set up targeting for a single offer, click the More Info (
To set up targeting for multiple offers, select the checkboxes for the desired offers, then click the Target Audience link that displays at the bottom of the list.
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In the Add Audiences dialog box, select the desired audiences for the offers, then click Assign Audience to return to the Manage Content dialog box.
NOTE
In addition to selecting an existing audience, you can combine multiple audiences to create on-demand combined audiences rather than creating a new audience. For more information, see Combining Multiple Audiences. -
Click Done.
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
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- 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
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