Adobe Analytics and DTM Implementation Training

This unique workshop is designed by Xcademy to introduce Adobe Analytics & Dynamic Tag Management in a collaborative environment with a small class size. Ezhil Raja, the founder of Xcademy will be the trainer for the program.

Adobe Analytics & DTM Implementation is a 16 hour classroom course, where participants will learn how to take business requirements, translate them into an implementation solution, and code them on the page.

This course covers how to implement Reports & Analytics on a Web site using JavaScript and also includes hands-on exercises. Participants will also learn about Traffic Variables, Conversion Variables, Conversion Events, Configuration Variables, Dynamic Tag Management, Processing Rules, JavaScript plug-ins, troubleshooting implementations, data manipulation tools, advanced Reports & Analytics capabilities, and their role as a technical lead during the implementation process.

Each attendee is granted access to our custom sandbox environment where they can practice implementing Adobe Analytics on a test site. Our trainers Ezhil Raja and Ram Manohar are actually digital analytics consultants, working every day in the materials they’ll be teaching – so you’ll get real-world tips and someone who can answer the difficult questions.

This course is designed to gradually introduce beginner to advanced concepts, with immediate takeaways like tracking file downloads and form submissions as well as more complicated implementations like ecommerce and custom information about users.

Topics Covered

• Reports & Analytics Code

•  Reports & Analytics Interface

• KPIs and KBRs

• Configuration Variables

• Dynamic Tag Management

• Traffic Variables

• Page Naming

• Predefined Traffic Variables

• Custom Traffic Variables

• Traffic features & functions

• Conversion Variables

• Success Events

• Conversion Variables

• Product Variable

• Campaign Variable

• eVars

• List variables

• On-click image request

• Data Manipulation Components

• Site-based Considerations

• Data Import/Export Tools

• Validation and Troubleshooting

• Effective Implementation Practices