BECOME A Adobe Analytics EXPERT

ExtraCourse is the No.1 Adobe Analytics online training institute offering Adobe Analytics online and classroom courses in Hyderabad with expert guidance and 100% placement assistance..

Extra Course is a best Adobe Analytics training institute in Hyderabad. We offer 100% practical driven program through our unique experimental learning, focus on comprehensive practical approach. We follow a holistic curriculum which has been designed by Industrial experts in a systematic approach from the beginner’s level to a more advanced study.

Holistic Curriculum | Complete Practical Driven Learning | Real Time Projects | Be a Future Ready

Key Highlights

  • Curriculum is curated by Industrial Experts in Adobe Analytics
  • Extensive study on real time projects
  • Handouts, Exercises and Assignments on each and every topic in Adobe Analytics
  • Work on Real-time scenarios
  • 100+ Hands on Practical Assignments
  • Real time work on currently running projects
  • Resume preparation
  • Mock Interviews
  • 100% Placement Assistance
  • All classes will be recorded and sent to you everyday
  • Get Certified

What you'll learn

1.Reports and Analytics Code
2.Key Business supplies and Key presentation Indicators
3.Custom Traffic Variables, Traffic Features and Functions
4.Custom adaptation Variables, Conversion Features and Functions
5.Information Tools
6.Approval and Troubleshooting

Course Duration

Course Name
Course Duration
Adobe Analytics
40 hrs
Adobe Analytics
Adobe Analytics
Training & Workshop

Adobe Analytics Course Content

  • Introduction to online marketing
  • Overview of different marketing channels
  • Traffic metrics – Page views, visits, Unique visitors
  • Engagement metrics – Time on page, Bounce rate, exit rate
  • Session time out criteria
  • Bounce rate criteria and reasons
  • Conversion metrics – Revenue, orders, Form submissions, Conversion rate
  • Calculated metrics
  • Page views per visit, Average order value
  • Form completion rate, Form success rate
  • Deep into retail metrics and derivations.
  • Searches, Null search rate, Search clickthrough rate, Search relevancy
  • Cart conversion rate, Checkout conversion rate, Checkout errors
  • Evaluating marketing campaigns – Metrics framework for Marketing campaigns.
  • Mobile app analytics – Metric differences.
  • List of depth calculated metrics.
  • Adobe data warehouse
  • Report builder
  • Activity map
  • Adhoc analysis
  • Analytics workspace
  • Understanding the reporting structure – Data dimension, Data dimension elements and metrics
  • Analytics workspace – freeform, visualizations, projects, Cohort, flows, the fallout
  • Bookmarking, Downloading and scheduling reports
  • Building and automating dashboards
  • Configuring alerts – based on availability in the account.
  • Containers in calculated metrics (excluding functions)
  • Overview of segmentation
  • Conditions within segments – Sequential, Union, intersection
  • Segment stacking and merging segments
  • Using segments in a metric
  • Types of containers in the segment – Hit, Visit, Visitor
  • Concept of Multi suite tagging, roll up report suites
  • Virtual report suites
  • Decoding / parsing the image request
  • Beacon anatomy
  • Mobile app testing
  • Various debugging tools – Firebug, Omni bug, Experience cloud debugger, network console, Fiddler, Charles
  • Traffic variables (props)
  • Listing, participation, Pathing
  • Conversion variables (eVars)
  • Tracking code, allocation, expiry in eVars
  • Merchandising syntax, Binding in eVars (Optional)
  • Finding methods (for all) and product finding methods (only for retail)
  • Conversion classifications, Classification hierarchies
  • Success events – pre-defined and custom success events
  • Types of events and event serialization; Participation
  • List variables
  • Marketing channel manager
  • Marketing channel processing rules
  • Marketing channel costs (Optional)
  • Marketing channel classifications (Last touch channel details)
  • MC expiration
  • Processing rules (correlating custom variables into variables)
  • Internal URL filters
  • Customizing calendar and menus
  • User management (Creating, maintaining user accounts and groups)
  • Classification importer (SAINT classifications)
  • Classification rule builder (using regular expressions)
  • Data connectors (Purpose and overview)

We will discuss the basics of Tagging the site Launch

  • Modified architecture flow diagram with DTM/ Launch in place
  • Data layer concept
  • Tagging the pages with the embed code
  • Property creation and configuration
  • Tool configuration within the property
  • Configuring the data elements
  • Page load rules
  • Event-based rules
  • Direct call rules