Unlock the Power of Data with ENCODE-IT’s Adobe Analytics Training

Course Introduction: In the world of digital marketing and e-commerce, understanding your
customer’s behavior is key to driving business success. Adobe Analytics is one of the most advanced
tools for analyzing web traffic, customer journeys, and providing actionable insights through its
powerful data analytics platform. ENCODE-IT’s Adobe Analytics Training equips you with the
knowledge to leverage this tool, enabling you to understand user behavior, track conversions, and
optimize marketing strategies to enhance business performance.

In this comprehensive course, you will master all aspects of Adobe Analytics, from setting up
tracking codes and configuring reports to conducting in-depth analysis of customer interactions
across different digital touchpoints. Whether you are a marketer, data analyst, or e-commerce
manager, this course will help you unlock the full potential of Adobe Analytics to drive growth and
improve customer engagement.

Salary Scale in India: Adobe Analytics professionals are in high demand across industries such as
retail, finance, and digital marketing. The salary range for Adobe Analytics professionals in India
varies based on experience and expertise:
 Entry-Level Adobe Analytics Specialist: ₹5 Lakhs to ₹8 Lakhs per annum
 Mid-Level Adobe Analytics Analyst: ₹8 Lakhs to ₹14 Lakhs per annum
 Senior Adobe Analytics Manager/Consultant: ₹14 Lakhs to ₹25 Lakhs+ per annum

As digital transformation continues to grow across sectors, the demand for skilled professionals
proficient in tools like Adobe Analytics is expected to increase, offering lucrative career prospects.

Placement Assistance & Certification: Upon successful completion of the Adobe Analytics Training
at ENCODE-IT, you will receive an ENCODE-IT Certification, demonstrating your expertise in Adobe
Analytics. ENCODE-IT’s Placement Assistance team will support you in securing interviews with top
companies, providing resume-building services, interview preparation, and job placement assistance
to help you launch your career in the analytics field.

Course Curriculum:

1. Introduction to Adobe Analytics
o What is Adobe Analytics? Overview and Key Features
o The Importance of Adobe Analytics in Digital Marketing
o Setting Up an Adobe Analytics Account: Configuration and Setup
o Understanding Adobe Analytics Interface and Tools
o Key Terminologies and Concepts: Hits, Page Views, Visits, and Conversion

2. Tracking and Tagging Basics
o Introduction to Tracking Codes and Tags in Adobe Analytics
o Setting Up the Adobe Analytics JavaScript Library (AppMeasurement.js)
o Configuring Tracking Tags for Web Pages, Events, and Custom Variables
o Tag Management Systems: Introduction to Adobe Dynamic Tag Manager (DTM)

o Implementing Tracking and Validation Methods for Accurate Data Capture

3. Data Collection and Configuration
o Understanding Data Collection Methods in Adobe Analytics
o Using eVars, Props, and Events to Capture Data
o Setting Up Variables for Custom Tracking
o Configuring Campaign Tracking and URL Parameters
o Validating Data Collection and Ensuring Accuracy

4. Creating Reports and Dashboards
o Introduction to Adobe Analytics Reports and Dashboards
o Building Custom Reports for Specific Data Insights
o Creating and Sharing Dashboards for Real-Time Analytics
o Analyzing Traffic Data, Audience Behavior, and Conversion Metrics
o Best Practices for Visualizing Data and Creating Actionable Insights

5. Segmentation and Audience Analysis
o What is Segmentation and Why It’s Important?
o Creating Segments for Targeted Analysis
o Using Adobe Analytics Segmentation Tools to Filter Data
o Analyzing Audiences: Demographics, Location, Devices, and More
o Leveraging Segments to Improve Personalization and Marketing Strategies

6. Conversion Tracking and Attribution Models
o Defining and Measuring Conversions in Adobe Analytics
o Setting Up Conversion Goals for Website and Campaign Tracking
o Introduction to Attribution Models: Linear, Time Decay, and Position-Based
o Analyzing Customer Journeys and Understanding Multi-Touch Attribution
o Optimizing Conversions Using Insights from Attribution Analysis

7. Custom Metrics and Advanced Analysis
o Creating Custom Metrics for Advanced Analysis
o Working with Calculated Metrics to Combine Data Points
o Using Adobe Analytics for Predictive Analytics and Forecasting
o Advanced Techniques for Behavioral Analysis: Cohort Analysis and Funnel Analysis
o Leveraging Advanced Filters, Segments, and Date Ranges for Granular Insights

8. Data Visualization and Reporting Tools
o Integrating Adobe Analytics with Data Visualization Tools
o Using Adobe Analysis Workspace for Interactive Visualizations
o Connecting Adobe Analytics to Adobe Experience Cloud for Cross-Platform Insights
o Exporting Data to Excel, Power BI, or Third-Party Platforms for Further Analysis
o Automated Reporting and Scheduled Email Reports

9. Mobile and App Analytics
o Tracking Mobile App Performance with Adobe Analytics
o Setting Up App Tracking and Data Collection for Mobile Platforms
o Measuring App Performance: Downloads, Active Users, and Engagement
o Analyzing In-App Behavior: User Journey, Events, and Conversions
o Integrating Mobile and Web Analytics for a Holistic View of the User Experience

10. A/B Testing and Optimization with Adobe Target
o Introduction to A/B Testing and Adobe Target Integration
o Setting Up A/B Tests to Optimize User Experience and Conversions
o Analyzing A/B Test Results and Statistical Significance
o Using Test Data to Drive Marketing and Website Optimization Decisions
o Implementing Personalization Strategies with Adobe Target

11. Integrating Adobe Analytics with Other Marketing Tools
o Integrating Adobe Analytics with Adobe Campaign for Marketing Insights
o Connecting Adobe Analytics with Google Analytics and Social Media Platforms
o Using API Integrations to Push Data to External Systems
o Leveraging Cross-Platform Marketing Data for Unified Reporting
o Real-Time Reporting and Data Streaming for Immediate Action

12. Data Privacy, Security, and Compliance
o Understanding Data Privacy Regulations (GDPR, CCPA, etc.)
o Ensuring Data Security and Compliance within Adobe Analytics
o Configuring Data Retention Policies and Data Deletion Rules
o Handling Personally Identifiable Information (PII) in Compliance with Regulations
o Implementing Privacy Controls and Consent Management

13. Real-World Adobe Analytics Projects

o Setting Up Adobe Analytics for a Digital Marketing Campaign
o Tracking E-Commerce Conversions and Shopping Behavior
o Analyzing Website Traffic and Improving User Experience
o Implementing Attribution Models and Multi-Touch Attribution in Adobe Analytics
o Building Custom Dashboards and Reporting Solutions for Stakeholders

14. Final Project and Certification Exam
o Final Project: Implementing an End-to-End Adobe Analytics Solution for a Business
Use Case
o Project Evaluation: Showcasing Your Adobe Analytics Skills
o Final Exam: Comprehensive Test on Adobe Analytics Tools and Techniques
o Certification of Completion from ENCODE-IT and Job Placement Assistance

Key Features of the Course:
 Tools & Platforms: Adobe Analytics, Adobe Experience Cloud, Adobe Target, Google
Analytics, Excel, Power BI
 Real-World Projects: Hands-on projects focused on website optimization, conversion
tracking, and data analysis
 Certification & Placement Support: ENCODE-IT certification and job placement assistance to
help you advance in your career
 Expert Instructors: Learn from professionals with deep expertise in digital marketing and
analytics
 Career Advancement: Acquire the skills needed to pursue high-demand roles in analytics,
digital marketing, and business intelligence

By completing the Adobe Analytics Training at ENCODE-IT, you will gain the expertise to measure
digital marketing efforts, optimize customer engagement, and improve conversion rates. This
training will prepare you to harness the full power of Adobe Analytics, making you an invaluable
asset to organizations that rely on data-driven decision-making.