Adobe Analytics Business Practitioner Professional study plan

Draft a one-page business requirements document for a fictional e-commerce site, listing three business objectives and the KPIs that measure them

Write five open-ended stakeholder interview questions that uncover reporting needs without leading the respondent

Distinguish between a business requirement, a functional requirement, and a technical requirement by classifying a set of ten example statements

Create a glossary of ten Adobe Analytics terms (eVar, prop, event, segment, report suite) in plain language for a non-technical stakeholder

Map three business questions to the specific Adobe Analytics report types (e.g., fallout, flow, attribution) that would answer them

Design a high-level solution design outline for a single business unit, covering report suite structure, variable categories, and naming conventions

Explain the difference between a global report suite and a rollup report suite in a short written summary

Identify two risks of a poorly scoped solution design (e.g., data silos, variable collisions) and propose a mitigation for each

Describe the data collection flow from page load to Adobe data center in a five-step diagram

List the five most common tagging errors (e.g., missing pageName, duplicate events) and the debugging approach for each

Write a test plan outline for validating a new implementation, including three test cases and expected outcomes

Differentiate between first-party cookies and third-party cookies in the context of Adobe Analytics data collection

Define a data governance policy for a mock organization, covering variable ownership, change control, and documentation standards

Compare three data quality checks (e.g., traffic vs. conversion anomalies, missing values, duplicate page views) and how to detect each

Explain the purpose of a variable map and create a sample map for five variables (two eVars, two props, one event)

Outline a process for handling a data discrepancy report from a stakeholder, including triage steps and communication

Build three segments in a free Adobe Analytics sandbox or demo environment: one based on a visitor attribute, one on behavior, and one on a sequence

Explain the difference between hit, visit, and visitor containers in segment definitions with one example each

Design a segment for a high-value customer (e.g., purchased more than twice and viewed a product page in the last seven days) and describe its intended use

Identify two common segment pitfalls (e.g., overlapping segments, incorrect container scope) and how to avoid them

Sketch a dashboard layout for an executive audience with three key performance indicators and one trend chart

Select the appropriate visualization type (e.g., bar chart, line chart, cohort table) for four different business questions and justify each choice

Write a narrative for a dashboard that explains the 'so what' of a 10% drop in conversion rate, including two possible causes

Apply a data storytelling framework (context, conflict, resolution) to a mock monthly performance report

Analyze a sample dataset (provided or self-generated) to identify one significant trend and one anomaly, documenting the method used

Formulate three actionable recommendations based on the analysis, each tied to a specific metric and expected impact

Distinguish between correlation and causation in a given analytics scenario and explain the implication for recommendations

Draft an executive summary of an analysis, limited to 150 words, that states the key insight and recommended action

Complete a timed 60-question practice exam covering all domains and score at least 80%

Review all incorrect answers from the practice exam and write a one-sentence explanation for each correct answer

Revisit the two lowest-scoring domains from the practice exam and create a condensed study sheet for each

Simulate a stakeholder presentation: deliver a five-minute walkthrough of a dashboard and recommendations from week 6-7