Parameter Matching
- Topics:
- Recommendations
Filter dynamically by comparing items (entities) against a value in the request (API or mbox).
For example, only recommend content that matches the “industry” page parameter or other parameters, such as device dimensions or geo-location, as in the following examples.
- Mbox parameters for screen width and height can be used to target mobile visitors and recommend only mobile devices and accessories.
- Create a recommendations rule that returns only the top-selling mobile phones that match or exceed the screen height of the mobile device the visitor is using the view the page.
- Regional geo-location parameters can be used to return recommendations for tools during the winter. Snow blowers and other snow abatement tools can be recommended for visitors in areas where it snows but not recommended for visitors in areas where it does not snow.
- Create a new activity and add your criteria in it.
- Use a criteria that does not contain the “Parameter Matching” filter.
- Remove the “Parameter Matching” filter from your criteria.
Parameter Matching examples
Parameter Matching lets you recommend content that matches the page parameters or the visitor’s parameters, such as device dimensions or geo-location, as in the the following example:
Recommendations can match parameter values sent in the Target call. In this instance, Target detects that a visitor is using a mobile device, based on the screen height and width parameters sent in the Target call, and recommends only items that are mobile devices.
Consider the following example Target call:
On the page a visitor is viewing, he or she will see mobile device products.
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
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- Target optimization and personalization FAQ
- Administer Target
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- 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