Course Description
Personalize Dynamic Content with Adobe Target Recommendations is an instructor-led one-day course (classroom & virtual). You will learn how to use Target Recommendations to make relevant suggestions to site visitors in order to create a more meaningful, compelling, and engaging experience.
Prerequisites
Optimize Digital Experiences Using Adobe Target course or equivalent.
Target Audience
Business users (including marketers & optimization experts), developers, & administrators
Learning Objectives
After completing this course, professionals will be able to:
- Explain the importance of Adobe Target Recommendations
- Configure & make a recommendation in Adobe Target
- Add recommendations as an A/B & Experience Targeting (XT) offer
- Manage recommendations in Adobe Target
- Explain Target Recommendations algorithms & criteria
- Make collections & exclusions for a recommendation
- Manage product feed by using catalog search
- Import entities into recommendations by using feeds
- Interpret Target Recommendations reports
Content Outline
- Recommendations: Benefits
- Examples of recommendations
- Terms & concepts
- Key components of a recommendation
- Recommendations: Strategy & design
- Visual Experience composer versus Form-based composer
- Regional Mbox versus Global Mbox
- Recommendation experience composers – Experience, Targeting, & Goals &
- Settings workflow
- Manage recommendations activities in Target
- Make a recommendation in the VEC
- Make a recommendation in the FEC
- Add recommendations as an offer in an A/B Test & XT activity
- Perform QA & activate a recommendation
- Algorithms & criteria overview
- Types of recommendations algorithms
- Configuration settings for a new criterion
- Make new criteria using inclusion rules
- Locate products or Content by using catalog search
- Refine product search by using catalog search options
- Make, edit, & change collections
- Make exclusions
- Design overview
- Settings, entities, & thumbnails
- Purpose of feeds
- Data feed configuration settings
- Recommendations report settings
- Interpret reports
FAQs
Personalize Dynamic Content Using Adobe Target Recommendations is a 1-day, instructor-led course (classroom & virtual). Using detailed, hands-on exercises, you will learn how to use Target Recommendations to make relevant suggestions to site visitors to create a more meaningful, compelling, & engaging experience.
Adobe Target is a rule-based testing & targeting tool, which can integrate with Analytics & make reports that can be used for creating marketing offers, personalization & UX testing, allowing marketers to figure out which of the recommendations, experiences & messages are genuinely engaging the customers.
Adobe Target Recommendations activities automatically display products, services, or Content that might interest your visitors based on previous user activity, preferences, or other criteria. Target Recommendations helps the direct visitor to relevant items they might otherwise not know about.
We recommend you attend the live session to practice & clarify the doubts instantly & get more value from your investment. However, if you have to skip the class due to some contingency, Radiant Tech learning will help you with the recorded session of that particular day. However, those recorded sessions are not meant only for personal consumption & NOT for distribution or commercial use.
Radiant Tech learning has a data center containing a Virtual Training environment for participants' hand-on-practice. Participants can easily access these labs over Cloud with the help of a remote desktop connection. Radiant virtual labs allow you to learn from anywhere around the world & in any time zone.
The learners will be enthralled as we engage them the real-world & Oriented industry projects during the training program. These projects will improve your skills & knowledge, & you will gain a better experience. These real-time projects will help you a lot in your future tasks & assignments.
If you do not wish to enroll in the course, you may request a refund.
Yes, you can.
We adhere to the highest Internet security standards. Any data that is kept is never shared with third parties.