Adobe Analytics Online Training

While most digital analysts understand Google Analytics, many can find Adobe Analytics to be a complete mystery. If you are one of those people, you’ve come to the right place. Let’s dig into Adobe Analytics and get you up to speed!

What is Adobe Analytics?
Similar to tools like Google Analytics 360, Adobe Analytics offers notable benefits and features (avoiding sampling, custom tracking flexibility, etc.), justifying the notable yearly cost associated to it.

Why use Adobe Analytics?
Becoming familiar with Adobe will naturally expand your analytics skills! While many elements of Google Analytics tracking are applicable to Adobe; Adobe’s new features, tools, and caveats will deepen and enrich your analytics knowledge base.
If you understand the features within Adobe Analytics, you will save yourself time as well as others by quickly solving complex analysis problems, creating expansive and actionable reporting, and setting up strategic tracking.

Google Analytics and Adobe Analytics both are web analytics services used in the measurement, collection, analysis and reporting of web data for purposes of understanding and optimizing web usage. However, Web analytics is not just a process for measuring web traffic but can be used as a tool for business and market research, and to assess and improve the effectiveness of a website.

Adobe Analytics Course Content

• Reports & Analytics Code
• The Reports & Analytics Interface
• Implementation Overview
• Key Business Requirements and Key Performance Indicators
• Configuration Variables
• Dynamic Tag Management
• Traffic Variables Overview
• Page Naming
• Other Standard Traffic Variables
• Custom Traffic Variables Traffic Features & Functions
• Predefined and Custom Events
• Conversion Variables
• Purchase Confirmation Page
• The Campaign Variable
• Custom Conversion Variables Conversion Features & Functions
• Data Manipulation Components
• Processing Rules
• Mobile Site Tracking
• Site-based Implementation Considerations
• Data Import Tools
• Data Export Tools
• Validation and Troubleshooting
• Effective Implementation Practices

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No. of Days:	40
Total Hours:	40
No. of Participants:	5