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Who should take the AD0-E202 exam
AD0-E202 exam has been designed for the following Target Audience:
- UI analysts
- Data analysts
- Digital analysts
- Conversion/optimization specialists
- Product owners and managers
- Media/marketing analysts
- Business consultants
- Digital marketers
- Web analysts
- Business analysts
There is a minimum skill set required before appearing for AD0-E202 exam:
- Has 2 years' experience in digital analytics, typically has a marketing background or comes from a marketing role but can come from a variety of job roles, possesses an in-depth understanding of digital analytics metrics and dimensions, understands the business value of web technologies, can translate business requirements into metrics or KPIs, build and interpret reports, communicate results and can propose a course of action based on analysis of reports
- Has a basic understanding of how digital analytics is filtering/structuring data
- Has an awareness of the integration of Adobe Analytics with other Adobe solutions
- Helps clients understand how to extract/pull the information they want, and which are contextually relevant (e.g. help them define their business questions)
- Understands how the technology works and understands a client's implementation (e.g. where the data sits, how it can be collected, how it is tracked) from a functional standpoint
- Has at least one year of Adobe Analytics hands-on experience
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Adobe AD0-E202 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Reporting and Dashboarding for Projects | 38% | - Use Report Builder and Data Warehouse - Build, configure and customize Analysis Workspace projects - Schedule, share and set alerts for reports and dashboards - Select appropriate visualizations, fallout and flow reports - Combine dimensions, metrics, date ranges and components |
| Business Analysis | 34% | - Define reporting strategy based on business questions - Interpret Solution Design Reference (SDR) - Understand conversion funnels and performance metrics - Analyze data, identify trends, outliers and anomalies |
| Segmentation and Calculated Metrics | 19% | - Apply, compare and share segments - Create and configure basic segments - Build and validate calculated and segmented metrics |
| General Tool Knowledge and Troubleshooting | 9% | - Understand dimensions, metrics, events and variables - Identify and resolve common data quality issues - Configure marketing channels and classifications |








