Adobe Target Business Practitioner Professional study plan

Map the full lifecycle of an Adobe Target activity from creation through activation and archival

Distinguish when to use A/B, Auto-Allocate, Auto-Target, XT, and MVT by matching each to a stated business question

Draft a one-page decision tree that routes a scenario to the correct activity type

Label the core activity settings (goals, metrics, audiences, scheduling) on a blank activity diagram from memory

Build three practice activities end to end covering page-level, form-based, and visual experience composer flows

Configure success metrics and primary versus secondary goals for each practice activity

Define audiences using at least four rule types and explain how each qualifier narrows membership

Explain how audience evaluation order and activity entry affect who sees an experience

Calculate sample size and minimum detectable effect for a stated baseline conversion rate

Interpret statistical significance, confidence intervals, and lift without overstating causality

Diagnose common testing failures such as sample ratio mismatch, peeking, and underpowered tests

Design a test plan that isolates one variable and documents a pre-registered primary metric

Sequence a multi-test optimization roadmap that avoids overlapping experiments on the same surface

Write falsifiable hypotheses in the if-then-because format for five prioritized opportunities

Prioritize a backlog of test ideas using impact, confidence, and effort

Connect activity design choices back to stated business objectives and KPIs

Translate a business brief into measurable objectives, target audiences, and success criteria

Segment an audience strategy across new, returning, and high-value visitors with distinct targeting logic

Identify data-governance constraints that limit which audience attributes can be used

Document assumptions and risks for a targeting plan in a stakeholder-ready format

Distinguish rule-based, activity-based, and AI-driven personalization and select the right approach per scenario

Configure experience targeting with prioritized audiences and explain fallback behavior

Explain how Auto-Target and Auto-Allocate use the traffic allocation model and when each is appropriate

Describe how recommendations and profile attributes feed personalized experiences

Read an A/B test report and separate lift, confidence, and segment-level effects into a coherent narrative

Interpret report dimensions and metrics and identify when a report cannot support a conclusion

Configure user roles, permissions, and workspace structure for a described team

Explain how implementation settings and data collection choices affect reporting accuracy

Audit weak areas across all seven domains and re-drill the two lowest-scoring ones

Complete timed practice sets under exam conditions and review every miss to root cause

Rehearse explaining activity-type selection, audience logic, and statistical interpretation aloud

Consolidate a one-page cheat sheet of decision rules and definitions