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Master Data-Driven Decision-Making for Digital Success

Data-driven decision making has become essential in modern marketing. The Analytics and Data-Driven Marketing Course at Insta Infotech® teaches how to collect, analyze, and interpret marketing data to improve campaign performance and business outcomes.

The program covers tools and techniques used in marketing analytics, including Google Analytics, Google Tag Manager, SEO and PPC performance analysis, social media insights, A/B testing, and data visualization. Students learn how to measure user behavior, track conversions, evaluate campaign effectiveness, and optimize marketing strategies using real data.

Eligible programs provide a university-recognised Skills Certificate or Diploma delivered in partnership with Medhavi Skills University. These programs earn NCrF (National Credit Framework) credits, which may contribute toward higher education progression while strengthening professional credibility.

Analytics and Data-Driven
Analytics and Data-Driven Marketing Course

In a data-centric digital economy, marketing success increasingly depends on analytics and measurable insights. At Insta Infotech®, the Analytics and Data-Driven Marketing Course teaches how to collect, analyze, and interpret marketing data to improve campaign performance, customer engagement, and return on investment (ROI).

Why Learn Analytics and Data-Driven Marketing?

Modern marketing strategies rely on accurate data analysis to understand audience behavior, evaluate campaign performance, and optimize digital channels. This course introduces key analytics tools such as Google Analytics, Google Tag Manager, data visualization platforms, and A/B testing frameworks used by marketing teams worldwide.

What You Will Learn
1. Introduction to Marketing Analytics
  • Understanding the role of data in digital marketing
  • Key Performance Indicators (KPIs) and marketing metrics
  • Working with data from websites, social media, email campaigns, and paid advertising
2. Google Analytics & Tag Management
  • Setting up Google Analytics and Google Tag Manager
  • Analyzing traffic sources: organic, paid, referral, and direct
  • Tracking user behavior including page views, sessions, and engagement metrics
  • Implementing event tracking and goal conversions
  • Building custom dashboards and performance reports
3. Data Visualization & Reporting
  • Creating reports using Google Data Studio (Looker Studio)
  • Designing interactive dashboards and performance charts
  • Communicating business insights through data storytelling
4. SEO & Web Analytics
  • Using Google Search Console for indexing and performance analysis
  • Tracking keyword rankings and search visibility
  • Analyzing backlinks, traffic sources, and domain authority
5. Social Media & Paid Advertising Analytics
  • Interpreting Facebook and Instagram Insights
  • Analyzing Google Ads metrics including clicks, impressions, and CPC
  • Tracking conversions and calculating return on ad spend (ROAS)
6. A/B Testing & Conversion Optimization
  • Running A/B tests for landing pages, ads, and email campaigns
  • Using heatmaps and behavior tracking tools
  • Optimizing calls-to-action (CTA) for improved conversion rates
7. Customer Insights & Predictive Analytics
  • Mapping customer journeys and identifying engagement touchpoints
  • Using AI-assisted analytics for predictive marketing insights
  • Applying segmentation and personalization strategies
Certification & Academic Recognition

Eligible programs provide a university-recognised Skills Certificate or Diploma delivered in partnership with Medhavi Skills University. These programs earn NCrF (National Credit Framework) credits, which may contribute toward higher education progression while strengthening professional credibility.

Module 1: Introduction to Web Analytics
  • What is Web Analytics?
  • Importance of Data-Driven Marketing
  • Types of Web Analytics (On-site vs. Off-site)
  • Overview of Popular Web Analytics Tools
Module 2: Google Analytics Fundamentals
  • Setting Up Google Analytics Account
  • Understanding Google Analytics Interface
  • Key Metrics and Dimensions
  • Tracking Website Traffic and User Behavior
Module 3: Google Analytics Advanced Tracking
  • Custom Events and Goals
  • Setting Up Conversion Tracking
  • UTM Parameters for Campaign Tracking
  • Google Tag Manager (GTM) Basics
Module 4: Reporting and Data Analysis in Google Analytics
  • Audience Reports (User Demographics & Interests)
  • Acquisition Reports (Traffic Sources)
  • Behavior Reports (User Flow and Engagement)
  • Conversion Reports (Funnels and E-commerce Tracking)
Module 5: Heatmaps and User Behavior Tools
  • Introduction to Heatmaps
  • Understanding Click Tracking, Scroll Maps, and Mouse Movement
  • Setting Up Heatmaps with Hotjar and Crazy Egg
  • Analyzing User Behavior for UX Optimization
Module 6: A/B Testing and Conversion Optimization
  • What is A/B Testing?
  • Implementing A/B Tests with Google Optimize
  • Interpreting A/B Test Results
  • Optimizing Landing Pages for Better Conversions
Module 7: Data Visualization and Reporting
  • Creating Dashboards in Google Analytics
  • Using Google Data Studio for Custom Reports
  • Automating Reports and Alerts
  • Integrating Analytics with Business Intelligence Tools
Module 8: Web Analytics for SEO & SEM
  • Tracking Organic Search Performance
  • SEO Metrics in Google Analytics
  • Analyzing Paid Campaigns (Google Ads, Facebook Ads)
  • Attribution Modeling for Paid and Organic Traffic
Module 9: Privacy, Compliance, and Ethical Considerations
  • Understanding GDPR and CCPA
  • User Privacy and Data Security
  • Cookie Consent Management
  • Ethical Use of User Data
Module 10: Practical Case Studies and Project Work
  • Real-World Case Studies on Web Analytics
  • Analyzing User Journeys and Customer Behavior
  • Hands-on Project: Implementing Web Analytics for a Website
  • Final Presentation and Review

Module 1: Introduction to Data-Driven Marketing
  • What is Data-Driven Marketing?
  • Importance of Data in Digital Marketing
  • Types of Marketing Data (Demographic, Behavioral, Transactional)
  • Key Metrics and KPIs in Digital Marketing
Module 2: Data Collection and Sources
  • Data Collection Methods (First-party, Second-party, Third-party Data)
  • Web Analytics Tools (Google Analytics, Adobe Analytics)
  • Social Media and CRM Data Integration
  • Tracking User Behavior with Cookies and Pixels
Module 3: Data Visualization and Reporting Tools
  • Introduction to Data Visualization
  • Google Data Studio Overview
  • Tableau for Marketing Analytics
  • Microsoft Power BI for Data Reporting
Module 4: Google Data Studio
  • Connecting Data Sources (Google Analytics, Google Ads, BigQuery)
  • Creating Interactive Dashboards
  • Customizing Reports and Visualizations
  • Automating Data Reports
Module 5: Tableau for Marketing Analytics
  • Understanding Tableau Interface
  • Importing and Cleaning Marketing Data
  • Creating Visual Reports for Campaigns
  • Storytelling with Data in Tableau
Module 6: Microsoft Power BI for Marketing
  • Power BI Basics for Marketers
  • Connecting Power BI to Multiple Data Sources
  • Creating Dynamic Marketing Dashboards
  • Advanced Data Analysis in Power BI
Module 7: Interpreting Marketing Data
  • Understanding Customer Journeys
  • Analyzing Conversion Rates and Funnel Performance
  • Segmentation and Audience Targeting
  • Predictive Analytics for Marketing
Module 8: Campaign Performance Optimization
  • Data-Driven Decision Making
  • A/B Testing and Multivariate Testing
  • Optimizing PPC and Social Media Campaigns
  • ROI Measurement and Budget Allocation
Module 9: Marketing Automation and AI in Analytics
  • Introduction to Marketing Automation
  • Using AI for Predictive Marketing Analytics
  • Automating Reports and Data Insights
  • Personalization and AI-driven Customer Targeting
Module 10: Creating Data-Driven Marketing Reports
  • Best Practices for Data Reporting
  • Customizing Reports for Stakeholders
  • Data Storytelling for Marketing Success
  • Case Studies and Real-World Applications
Module 11: Final Project and Case Studies
  • Hands-on Project: Creating a Marketing Dashboard
  • Analyzing and Presenting Real Marketing Data
  • Industry Case Studies on Data-Driven Marketing
  • Final Review and Certification Preparation

Module 1: Introduction to Conversion Rate Optimization
  • What is Conversion Rate Optimization (CRO)?
  • Importance of CRO in Digital Marketing
  • Key Metrics and KPIs in CRO
  • Understanding User Behavior
Module 2: Understanding the Conversion Funnel
  • Stages of the Conversion Funnel
  • Identifying Bottlenecks and Drop-off Points
  • Optimizing Each Stage of the Funnel
  • Using Analytics Tools for Funnel Analysis
Module 3: A/B Testing and Multivariate Testing
  • Introduction to A/B Testing
  • Setting Up and Running A/B Tests
  • Multivariate Testing vs. A/B Testing
  • Analyzing Test Results and Making Data-Driven Decisions
Module 4: Landing Page Optimization
  • Elements of a High-Converting Landing Page
  • Optimizing Headlines and Copywriting
  • Call-to-Action (CTA) Best Practices
  • Design and Layout Optimization
  • Mobile Optimization for Landing Pages
Module 5: User Experience (UX) and CRO
  • Importance of UX in Conversions
  • Heatmaps and User Behavior Tracking
  • Reducing Friction in the User Journey
  • Improving Website Navigation and Load Speed
Module 6: Personalization and Targeting
  • Behavioral Targeting and Segmentation
  • Using AI and Machine Learning for CRO
  • Personalized Content and Recommendations
  • Dynamic Landing Pages for Different Audiences
Module 7: Trust, Credibility, and Social Proof
  • Building Trust with Customers
  • Using Testimonials and Reviews Effectively
  • Trust Seals and Security Certifications
  • Leveraging Social Proof for Higher Conversions
Module 8: CRO Tools and Analytics
  • Overview of CRO Tools (Google Optimize, VWO, Optimizely)
  • Google Analytics for CRO
  • Interpreting Data and Reporting Insights
  • Automation and AI in CRO
Module 9: Mobile and E-commerce CRO
  • Optimizing for Mobile Conversions
  • Best Practices for E-commerce CRO
  • Cart Abandonment and Checkout Optimization
  • One-Click Checkout and Payment Optimization
Module 10: CRO Strategy and Implementation
  • Developing a CRO Strategy
  • Integrating CRO with Digital Marketing Channels
  • Measuring CRO Success and ROI
  • Case Studies and Real-World Examples
Module 11: Final Project and Certification
  • Conducting a Full CRO Audit
  • Creating and Running A/B Tests
  • Presenting Data-Driven Recommendations
  • Final Exam and Certification

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Trust & Validation

UGC-Recognized Skilled Qualifications for the Modern Global Workforce

University Certification
University Certification

Earn industry-relevant Certificates and Diplomas awarded by Medhavi Skills University, a UGC-recognized University. Insta Infotech is Approved Training Partner of Medhavi Skills University, ensuring quality education and credible certification.

Certificate Verification
Certificate Verification

All Certificates and Diplomas are digitally verifiable through Government of India platforms, including Skill India Digital Hub (MSDE), ABC.gov.in (Ministry of Education), and DigiLocker, ensuring authenticity and nationwide recognition.

Credit-Based Course (NCrF)
Credit-Based Course (NCrF)

Our courses are aligned with the National Credit Framework (NCrF) under the National Education Policy (NEP) 2020. Learners earn academic credits that strengthen their skill-based education profile and can be seamlessly transferred toward higher education pathways.

Global Recognition
Global Recognition

NCrF-aligned skill credits are recognized across the UK, EU, and Australian education systems. Through MSU’s global partnerships, learners benefit from dual certification opportunities and accelerated pathways to international degree programs.

Skill India Mission
Skill India Mission

Insta Infotech empowers learners with future-ready skills. Backed by the Skill India Mission and our academic partnership with Medhavi Skills University, we bridge the gap between education and employment through practical, hands-on learning and nationally recognized certifications.

Placement Support
Placement Support

Quality Skill Education — this is not merely a certificate of attendance, but a verified academic credential that enhances credibility and opens opportunities across MNCs, embassies, and government sectors.

Specializations

Skilled, Qualification, Certification

Course Credibility

Course Credibility

Our programs are certified by a recognized university, ensuring legal authenticity, academic validity, and strong professional acceptance. This means your qualification carries real value for employment, career advancement, and higher education.

Employability

Employability

Our programs combine practical training, real-world projects, and industry-relevant skills to prepare students for immediate employment. we ensure learners confidently transition from education to professional careers.

Global Standards

Global Standards

Our programs follow internationally aligned curricula and current industry requirements, ensuring learners gain globally relevant knowledge, practical competencies, and professional practices. This prepares students to adapt, compete, and work confidently.

National Alignment (Skill India)

National Alignment (Skill India)

Aligned with the Skill India Mission, we transform vocational training into a nationally recognized qualification, enabling our students to become part of India’s formal skilled workforce.

Academic Mobility (Credit-Based)

Academic Mobility (Credit-Based)

Through the National Credit Framework (NCrF), our courses are not merely extra-curricular; they are credit-earning modules that contribute directly toward your formal higher education pathway.

NEP 2020 Integration

NEP 2020 Integration

Aligned with the National Education Policy 2020, we transform traditional IT education into a multidisciplinary, skilled-based vocational pathway that enables students to earn formal academic credits.

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At Insta Infotech, we specialize in a wide array of courses across domains like:

Programming Languages: Java, Python, C++, .NET, and more. Data Science & Analytics: Machine Learning, AI, Big Data. Cloud Computing & DevOps: AWS, Azure, Docker, Kubernetes. Cybersecurity: Ethical Hacking, Network Security. Digital Marketing: SEO, Social Media, Content Marketing. Database Management: SQL, PL/SQL, MongoDB, Oracle.
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