Adobe Journey Optimizer Business Practitioner study plan

Define Adobe Journey Optimizer's role within the Adobe Experience Platform ecosystem and distinguish it from Campaign, Target, and Analytics

Map each core capability (journeys, campaigns, offers, decisioning, profiles) to a real business use case

Write a one-paragraph explanation of the difference between a journey and a campaign in your own words

List the licensing-relevant feature areas and note which ones affect design choices

Trace the lifecycle of a journey from draft through publish, pause, and stop, describing what happens to in-flight profiles at each step

Identify entry sources for a journey (audience-based, event-based, and business-triggered) and state when each is appropriate

Sketch a branching journey with a condition node, a wait node, and a message node, annotating the logic at each node

Explain how journey re-entry and profile throttling settings change outcomes

Build a multi-step journey in a sandbox that includes a wait, a condition split, and two channel messages

Configure message frequency and quiet-hours style constraints and verify their effect on send timing

Author one email message using the content designer, including a personalization token and a reusable fragment

Validate rendering across at least two device previews and correct any layout defects

Author a push or SMS message and confirm character-limit and fallback behavior

Create a segment using profile attributes and an event-based criterion, then preview membership counts

Compare a batch segment with a streaming segment and state which journey entry type each suits

Explain how identity namespaces and profile merge policies affect which attributes a journey sees

Build an audience from a CSV-style attribute set and confirm it is queryable in a journey

Configure a decisioning offer with eligibility rules and a ranking strategy, then test which offer is returned for two sample profiles

Apply a personalization expression using profile attributes and a helper function, and verify the fallback value

Describe how offer collection qualifiers and constraints interact to limit selection

Design an A/B test on a message subject line, defining the success metric and sample split before launch

Identify the standard journey and message reports and state which metric answers a given business question

Interpret delivery, open, and click metrics and explain two common reasons a send shows low engagement

Draft a governance checklist covering approvals, consent, and suppression handling

Audit a journey's consent and suppression configuration and document any gaps

Explain how test profiles and seed lists are used to validate a send before launch

Review reporting data for a completed journey and write three actionable findings

Revisit foundational concepts and close any gaps flagged during the week-4 milestone check

Complete a timed practice set weighted by domain percentage and record per-domain accuracy

Re-teach the two weakest domains from memory without notes, then verify against documentation

Re-run all missed practice items and articulate why the correct answer is correct

Finalize a one-page quick-reference sheet of decision rules and terminology