Exam details
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- Level: Professional (0-12 months’ experience)
- Passing Score: 31/50
- Time: 100 mins
- Delivery: Online proctored (requires camera access)
- Available languages: English
- Cost: $225 (global) / $150 (India)
- Exam ID: AD0-E607
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Intended audience
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- Adobe Journey Optimizer business consultant
- Marketer
- Marketing automation business practitioner
- Campaign manager
- Campaign strategist
- Marketing automation specialist
- Journey manager
- Digital marketing specialist
- CRM coordinator
- MarTech Analyst
- Solutions Consultant
- Technical consultant
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Minimum experience
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Candidates should be able to:
- Validate and proof a message; seed list
- Create email, SMS, in app messages and push notifications using predesigned templates/drag-and-drop
- Test and validate Journeys
- Create journeys and campaigns (email, SMS, and push only), and add basic condition/exclusion in the journey
- Know basic personalization using profile attributes and event data
- Use subscription lists
- Review profile attributes and events (Load a profile in the UI)
- Understand and use landing pages
- Understand when to use different types of journeys/campaigns and have the ability to leverage “Campaigns” feature in Adobe Journey Optimizer for building a one-time email blast
- Understand the capability of Data source, Events & Actions
- Monitor and Review Journey Reports to track Email Engagements/Bounces/Error rate/Spam rates/Domains Issues
- Build & Validate Basic Segment Criteria
- Understand email suppression and allow list
- Understand Unitary and Business events
- Understand and use different Activities in Journey
- Basic Debugging - Via Test Mode or Reporting (no query service requried)
- gather and document journey requirements with the business
- Know best practices around journeys and channels (for example, best time to send, best channel to use, best journey design patterns for different use cases, when to use transactional and marketing message)
- Understand Deliverability concepts (for example, different Bounces, warming)
- Understand Frequency, Fatigue rules
- Preview Data sets
- Basic understanding of Identities
- Understand when to use Audience composition, direct mail channel - note that these will be launching sometime in Q4 2023
- Understand static and dynamic offer collections and simulation (testing offers)
Candidates should also be able to:
- Compose an audience (using new audience composer)
- Import an audience (Upload a CSV audience)
- Upload and auto-convert HTML for email (new html converter)
- Create a content experiment
- Measure the results of a content experiment
- Tag/filter/search journeys, campaigns, and more
- Create a fragment from a template
- Custom action
- Create content in asset essentials
- External data source
- Offer decisioning (basic knowledge)
- Basic understanding of XDM (experience data models)
- Monitor and Review data imports and exports
- Creating a content template
- Data usage and labeling concepts
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Exam objectives and scope
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This section provides information on the exam content.
Section 1: Campaign and Journey Optimization (48%)
- Given a scenario, identify how to build a Customer Journey
- Given a scenario, determine how to validate a Customer Journey
- Given a scenario about after a Journey is run, identify how to evaluate the Customer Journey
- Given a scenario, identify when to use unitary event or business event
Section 2: Offer Decisioning (12%)
- Identify how to create a collection of offer
- Identify the stages of offer decisioning
- Identify how to configure an offer
- Given a scenario, identify how to use offer decision activities in content being authored
- Given a scenario, identify when to use offer decisioning or personalization at scale
- Given a scenario, differentiate between static and dynamic offers
Section 3: Content Authoring (20%)
- Identify how to use asset essentials
- Given a scenario, identify how to add personalized fields into emails
- Given a scenario, identify the appropriate configuration for the content experiment
- Given a scenario, identify how to interpret content experiment
- Identify the benefits of using fragments
- Identify the types of fragments
- Identify how to create an email template
Section 4: Foundations of AEP (20%)
- Given a scenario, determine when to use different types of data
- Identify where to review profiles attributes and audience membership
- Differentiate between datasets enabled for profile and datasets not enabled for profile
- Identify different types of identities supported in Journey
- Given a scenario, identify when to use a particular audience type
- Given a scenario, identify the right logic to use for sequential audience
- Given a scenario, identify how to troubleshoot a data loading issue
- Given a scenario, identify which data label is appropriate
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