Adobe Campaign Classic Business Practitioner Expert study plan

Diagram how recipient targeting flows from the recipient schema through query activities to a delivery

Define the difference between targeting dimension, filtering dimension, and the recipient table in your own words

Build a segmentation query that combines at least two filter conditions and one exclusion

List the schema attributes that control which fields appear in the query editor

Configure three audience-building techniques (query, list, and filtering condition) and compare their tradeoffs

Construct a workflow that splits a population by a profile attribute and routes each branch to a separate delivery

Identify where deduplication and exclusion logic belong in a targeting workflow

Explain how typologies of targeting interact with delivery preparation

Map the standard workflow building blocks (targeting, flow control, action, event) to their intended use

Design an orchestration that waits on an event and handles a timeout branch

Describe how the campaign and delivery approval lifecycle is configured at the instance level

Trace how operator roles and folder permissions affect who can run or edit a workflow

Configure a delivery template that pre-populates subject, sender, and typology rules

Build personalization blocks with fallback values and test them against records with missing data

Set up conditional content that varies by recipient attribute and verify each variant

Compare proof and seed address strategies for validating a send

Extend the data model with a custom schema and link it to the recipient table

Import a file with a defined schema mapping and handle rejected records via a rejection log

Export a targeted population to a flat file with a controlled column order

Describe when to use an API call versus a file-based import for inbound data

Interpret delivery logs, broad logs, and tracking logs and explain what each records

Configure a report or dashboard that surfaces opens, clicks, and bounces for a campaign

Reconcile a discrepancy between sent count and targeted count using log data

Identify the instance-level settings that control tracking and log retention

Build a segmentation report that compares engagement across two audience segments

Apply a typology rule that enforces a contact-frequency or pressure constraint and observe its effect

Document the consent and opt-out mechanisms that must be respected in a send

Summarize data-retention and privacy obligations relevant to stored recipient data

Complete a timed practice set weighted toward the heaviest domains and log every miss by domain

Re-teach your three weakest concepts from memory without notes

Re-run one end-to-end scenario from targeting through delivery and reporting

Consolidate a one-page cheat sheet of configuration defaults and workflow patterns