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Marketing Analytics and Data-Driven Marketing

Marketing Analytics and Data-Driven Marketing focuses on using data, metrics, and analytical tools to measure campaign performance, understand customer behavior, and optimize marketing strategies for better results and higher ROI.

Live Online: 10 Days - 30 Hours (3 hrs Daily) - Jun 06, 07, 13, 14, 20, 21, 27, 28, Jul 4 and Jul 5, 2026 Live Online Self Paced In Person Marketing Analytics & Data-Driven Marketing
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Overview

Marketing Analytics and Strategy Optimization focuses on using data, insights, and analytical techniques to evaluate marketing performance and continuously improve strategies for better business outcomes.

It enables organizations to track key metrics, analyze customer behavior, and measure campaign effectiveness, helping marketers identify what works and what doesn’t. By leveraging tools like analytics platforms, dashboards, and data visualization, businesses can make informed decisions and optimize marketing efforts in real time.

This approach supports strategy refinement, budget allocation, and performance improvement, ensuring higher ROI and more efficient use of marketing resources. It transforms marketing into a data-driven, measurable, and results-oriented function that drives sustainable growth.

Course Outline

  1. Evolution of Data-Driven Marketing
  2. Role of Analytics in Business Growth
  3. Key Metrics and KPIs (CAC, CLV, ROI, Conversion Rate)
  4. Marketing Analytics Framework
  1. Data Sources (Web, CRM, Ads, Social Media)
  2. Google Analytics 4 (GA4) Setup and Tracking
  3. Event Tracking and Tag Management Basics
  4. Data Quality and Governance
  1. Data Cleaning and Transformation
  2. Introduction to SQL for Marketing Data
  3. Working with Large Datasets
  4. Data Integration Across Channels
  1. Customer Behavior Analysis
  2. Segmentation Techniques (RFM, Behavioral, Predictive)
  3. Cohort Analysis and Retention Metrics
  4. Customer Journey Analytics
  1. Campaign Performance Analysis
  2. Funnel Analysis (Awareness → Conversion → Retention)
  3. A/B Testing and Experiment Design
  4. Hypothesis-Driven Marketing
  1. Data Visualization Best Practices
  2. Dashboard Creation (Excel, Power BI, Looker Studio)
  3. KPI Reporting and Storytelling
  4. Real-Time Monitoring
  1. Web Analytics (GA4 Deep Dive)
  2. Social Media Analytics
  3. Paid Ads Analytics (Google Ads, Meta Ads)
  4. Email Marketing Analytics
  1. Introduction to Predictive Models
  2. Customer Lifetime Value (CLV) Prediction
  3. Churn Analysis and Retention Strategies
  4. Demand Forecasting
  1. Marketing Mix Modeling (MMM Basics)
  2. Budget Allocation Strategies
  3. Conversion Rate Optimization (CRO)
  4. Attribution Models (Multi-Touch Attribution)
  1. AI for Customer Insights and Personalization
  2. Automated Reporting and Insights
  3. Recommendation Systems
  4. Future Trends in AI-Driven Marketing
  1. Real Campaign Data Analysis
  2. Dashboard Projects (End-to-End)
  3. Industry Case Studies (E-commerce, SaaS, Retail)
  4. Mini Projects in Each Module
  1. End-to-End Marketing Analytics Project
  2. Strategy Optimization Plan
  3. Portfolio Building (Dashboards / Case Studies)
  4. Resume, LinkedIn and Interview Preparation

Who Should Attend

This program is ideal for professionals and learners who want to use data to improve marketing performance and decision-making.

  1. Digital Marketing Professionals and Executives looking to enhance campaign performance using analytics and data insights 
  2. Marketing Managers and Brand Managers aiming to optimize strategy, budget allocation, and ROI 
  3. Data Analysts and Business Analysts interested in applying analytics to marketing use cases 
  4. Performance Marketers and Growth Marketers focused on improving conversions and campaign efficiency 
  5. Sales and Marketing Professionals who want to make data-driven decisions and improve targeting 
  6. Entrepreneurs and Business Owners seeking to track performance and scale marketing effectively 
  7. Students, MBA (Marketing) and Graduates aspiring to build careers in marketing analytics and strategy roles 
  8. Consultants and Strategy Professionals looking to deliver data-backed marketing insights to clients

Certification

  • On successful completion of the course and exam, you will receive a Course Completion Certificate from GraspSkill.
Marketing Analytics & Data-Driven Marketing

Benefits

This program is ideal for professionals and learners who want to use data to improve marketing performance and decision-making.

  1. Digital Marketing Professionals and Executives looking to enhance campaign performance using analytics and data insights 
  2. Marketing Managers and Brand Managers aiming to optimize strategy, budget allocation, and ROI 
  3. Data Analysts and Business Analysts interested in applying analytics to marketing use cases 
  4. Performance Marketers and Growth Marketers focused on improving conversions and campaign efficiency 
  5. Sales and Marketing Professionals who want to make data-driven decisions and improve targeting 
  6. Entrepreneurs and Business Owners seeking to track performance and scale marketing effectively 
  7. Students, MBA (Marketing) and Graduates aspiring to build careers in marketing analytics and strategy roles 
  8. Consultants and Strategy Professionals looking to deliver data-backed marketing insights to clients

About Trainer

 An experienced digital marketing and AI practitioner with strong expertise in marketing automation, analytics, and tools like HubSpot, Google Analytics, and generative AI, capable of delivering practical, hands-on training through real-world case studies and live campaign execution. 

Learning Outcomes

By the end of this course, participants will be able to:

  1.  Understand key marketing metrics and apply analytics frameworks to measure performance 
  2.  Collect, clean, and integrate data from multiple marketing channels 
  3.  Analyze customer behavior and create advanced segmentation strategies 
  4.  Track and evaluate campaign performance using funnel analysis and KPIs 
  5.  Design and conduct A/B tests to improve marketing effectiveness 
  6.  Build dashboards and reports using tools like Excel, Power BI, and GA4 
  7.  Apply predictive analytics to forecast trends, customer value, and churn 
  8.  Optimize marketing strategies through budget allocation, CRO, and attribution models 
  9.  Use data insights to improve decision-making and business outcomes 
  10.  Execute end-to-end marketing analytics projects and present actionable insights

Student Reviews

""The course provided a clear understanding of how to use AI in marketing. The automation concepts and real-world examples were extremely practical and useful.""

S
Sneha Kapoor
Digital Marketing Manager,, Infosys

""Well-structured program with a strong focus on data-driven marketing. I especially liked the hands-on sessions with automation tools and analytics.""

S
Sophie Laurent
Marketing Analyst,, Accenture

""A perfect course for beginners and professionals. The concepts were explained clearly, and the practical approach made learning very engaging.""

P
Priya Sharma
MBA Student (Marketing), NMIMS

""The AI and marketing automation modules were highly relevant to current industry needs. Great learning experience with actionable insights.""

V
Vikram Singh
Sales & Marketing Lead,, HCL Technologies

Frequently Asked Questions

All the participants will be added to WhatsApp/SMS group and email thread. You can clarify doubts at any time via WhatsApp, SMS or email.

Group discounts are available to groups of more than three candidates. You can get up to 20% discount depending on the number of participants.

No, the certification is valid indefinitely, demonstrating principal component analysis proficiency.

Our courses are designed to provide high quality learning and outcomes that exceed expectations. If for some reason your expectations are not met. You will be given a refund in accordance with our 100% satisfaction policy.

The assessment tests practical understanding of principal component analysis concepts. With active participation, most participants pass on the first attempt.

The digital certificate is issued immediately upon passing the assessment.

Yes, there will be an assessment of 20 questions based on the training topics at the end of the course, you will have to score 75% to pass.

Yes, we provide mentorship, doubt resolution, and guidance for assessment preparation.

Yes, you will be able to pay the course fees in instalments. Reach out to [email protected] to see the options available to you.

You will get 2 attempts to pass the test.

You will get access to the learning portal and certification exam voucher via email.

Yes. The online training is accessible worldwide.

Live Class Schedules

Self Paced Learning

Access: Online, anytime
Certificate on completion
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Minimum 5 participants required — email us at info@graspskill.com

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Upcoming Schedules

Date Time Duration Mode Price Action
09:00 - 12:00 Kolkata (UTC+5:30) 10 Days - 30 Hours (3 hrs Daily) - Jun 06, 07, 13, 14, 20, 21, 27, 28, Jul 4 and Jul 5, 2026 Live Online $500.00 $380.00

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