Master Web Analytics with ENCODE-IT's Comprehensive Training Program

Course Introduction: In today’s digital-first world, understanding your website's performance is
crucial to business success. Web Analytics empowers you to measure, analyze, and optimize user
interactions on your website, enabling data-driven decisions that enhance user experience and
maximize conversions. ENCODE-IT’s Web Analytics Training offers in-depth knowledge and practical
skills in popular tools like Google Analytics, Adobe Analytics, and other web tracking platforms. By
learning how to track metrics such as traffic, engagement, bounce rate, and conversion rates, you’ll
be equipped to make data-backed decisions that can significantly improve your online presence and
business outcomes.

This course is designed for individuals looking to become proficient in web analytics, whether you're
a digital marketer, data analyst, or business owner. With hands-on experience in industry-leading
tools and real-world case studies, you'll gain the expertise needed to analyze web data and drive
impactful marketing and website strategies.

Salary Scale in India: As more businesses invest in online strategies, the demand for Web Analytics
professionals is on the rise. The salary scale for web analytics professionals in India varies based on
experience and skillset:
 Entry-Level Web Analyst: ₹4 Lakhs to ₹7 Lakhs per annum
 Mid-Level Web Analyst/SEO Analyst: ₹7 Lakhs to ₹12 Lakhs per annum
 Senior Web Analytics Consultant/Manager: ₹12 Lakhs to ₹20 Lakhs+ per annum

With the growing importance of data-driven decision-making, skilled web analytics professionals are
being highly sought after, offering lucrative career opportunities in digital marketing, e-commerce,
and data analysis.

Placement Assistance & Certification: Upon completing the Web Analytics Training, you will receive
an ENCODE-IT Certification, which validates your expertise in web analytics tools and
methodologies. ENCODE-IT's Placement Assistance team will work closely with you to help secure
job opportunities, offering interview preparation, resume building, and job placement services to
launch your career in web analytics.

Course Curriculum:

1. Introduction to Web Analytics
o What is Web Analytics? Key Concepts and Benefits
o The Importance of Web Analytics in Digital Marketing and Business Strategy
o Overview of Web Analytics Tools: Google Analytics, Adobe Analytics, and Others
o Defining Key Performance Indicators (KPIs) for Websites
o Ethical Considerations in Web Analytics and Data Privacy

2. Setting Up Google Analytics
o Introduction to Google Analytics: Interface, Reporting, and Key Features
o Setting Up Google Analytics Account and Properties

o Installing Google Analytics Tracking Code on Websites
o Understanding Tracking Methods: Universal Analytics vs. Google Analytics 4
o Verifying Google Analytics Setup and Data Accuracy

3. Understanding Web Metrics and Dimensions
o Metrics: Sessions, Users, Pageviews, Bounce Rate, and Conversions
o Dimensions: Sources, Mediums, Campaigns, Devices, and Locations
o Interpreting Traffic Sources: Organic Search, Paid Search, Referral, Direct Traffic
o Behavioral Metrics: Engagement, Time on Site, Pages per Session
o Conversion Tracking and Goals in Google Analytics

4. Analyzing Website Traffic and User Behavior
o Analyzing Website Traffic: Identifying Growth, Declines, and Trends
o Tracking and Analyzing User Engagement Metrics: Bounce Rate, Average Session
Duration
o Segmenting Audience: New vs. Returning Visitors, Demographics, and Interests
o Behavior Flow Analysis: Visualizing User Journeys on Your Website
o Identifying High-Performing Pages and Content

5. Setting Up and Monitoring Goals and Conversions
o Defining Goals: Micro and Macro Conversions
o Setting Up Conversion Tracking in Google Analytics
o Tracking E-Commerce Goals: Transactions, Revenue, and Product Performance
o Setting Up and Analyzing Event Tracking (Button Clicks, Form Submissions, etc.)
o Goal Funnel Visualization: Identifying Drop-Off Points in the Conversion Process

6. Advanced Google Analytics Features
o Custom Reports and Dashboards in Google Analytics
o Creating Custom Segments for Targeted Analysis
o Multi-Channel Funnels and Attribution Models
o Tracking and Analyzing Site Search Data
o Setting Up Enhanced Ecommerce Tracking

7. Adobe Analytics Fundamentals
o Introduction to Adobe Analytics and its Key Features
o Setting Up Adobe Analytics: Interface and Setup

o Analyzing Website Traffic and User Behavior in Adobe Analytics
o Creating Custom Reports and Dashboards in Adobe Analytics
o Segmenting Audience and Analyzing Campaign Performance

8. Understanding and Implementing Web Tags
o What are Web Tags and How Do They Work?
o Introduction to Tag Management Systems (TMS)
o Setting Up Google Tag Manager (GTM) for Website Tracking
o Using GTM to Implement Google Analytics, Ads, and Other Tags
o Debugging and Troubleshooting Tags with GTM Preview Mode

9. Mobile and App Analytics
o Tracking Mobile App Performance with Google Analytics and Firebase
o Understanding Mobile User Behavior and Engagement Metrics
o Mobile App Conversions and Event Tracking
o Analyzing App Store Traffic and User Acquisition Channels
o Cross-Platform Analytics: Combining Web and App Data

10. SEO and SEM Analytics
o Analyzing Organic Traffic and SEO Performance with Google Analytics
o Keyword Tracking and Performance Analysis in Google Search Console
o Measuring Paid Search Campaigns: Google Ads and Analytics Integration
o Understanding Search Engine Optimization (SEO) Metrics: CTR, Impressions, and
Rankings
o Setting Up and Analyzing Paid Search Conversion Goals in Google Analytics

11. Web Analytics Reporting and Visualization
o Creating Comprehensive Reports for Stakeholders
o Automating Reports in Google Analytics and Adobe Analytics
o Visualizing Web Analytics Data with Data Studio and Power BI
o Best Practices for Reporting Web Analytics Insights
o Presenting Data-Driven Decisions to Non-Technical Audiences

12. A/B Testing and Experimentation
o Introduction to A/B Testing: What is It and Why is It Important?
o Setting Up A/B Tests in Google Optimize and Other Tools

o Analyzing A/B Test Results: Statistical Significance and Conversion Rates
o Using Web Analytics Data to Inform A/B Testing Decisions
o Creating Multi-Variant and Split Testing Experiments

13. Real-World Web Analytics Projects
o Analyzing a Website’s Traffic, Engagement, and Conversions
o Creating a Comprehensive Web Analytics Dashboard for Business Reporting
o Optimizing User Experience Based on Web Analytics Data
o Using Web Analytics for Digital Marketing Campaign Performance Evaluation
o Real-Time Web Analytics: Monitoring and Optimizing Traffic Fluctuations

14. Final Project and Certification Exam
o Final Project: Hands-On Web Analytics Case Study to Analyze and Optimize a
Website
o Project Evaluation: Showcasing Your Skills in Web Analytics
o Final Exam: Comprehensive Test on Web Analytics Concepts and Tools
o Certification of Completion from ENCODE-IT and Job Placement Assistance

Key Features of the Course:
 Tools & Platforms: Google Analytics, Adobe Analytics, Google Tag Manager, Google Search
Console, Firebase, Data Studio, Power BI
 Real-World Projects: Work on practical projects like analyzing and optimizing website
performance and user behavior
 Certification & Placement Support: ENCODE-IT certification and job placement assistance to
boost your career in web analytics
 Expert Instructors: Learn from industry experts with extensive experience in web analytics
and digital marketing
 Career Advancement: Gain the skills needed to advance your career in digital marketing,
data analysis, and business intelligence

By completing the Web Analytics Training at ENCODE-IT, you'll become proficient in measuring and
interpreting data from web and mobile platforms. This training will enable you to optimize user
experience, improve conversion rates, and drive business decisions with data-driven insights, making
you a valuable asset in the digital analytics space.