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Marketing Analytics: Data-Driven Decisions
Learn to measure marketing performance, analyze customer value, and design experiments. Master tools for data-driven marketing decisions.
Course Cost
₹ 2,699
Beginner
Skill Level
14 Hours
Self-paced lessons
This course, developed by the Darden School of Business at the University of Virginia, equips marketers with essential analytics tools to measure and optimize marketing performance. Participants learn to leverage data for informed decision-making across various marketing aspects. The curriculum covers key topics such as brand asset measurement, customer lifetime value calculation, marketing experiment design, and regression analysis. Through case studies, hands-on exercises, and real-world examples, learners gain practical skills in interpreting data, evaluating marketing strategies, and maximizing return on investment (ROI). The course also features insights from industry professionals, providing a bridge between academic concepts and real-world applications.
3,38,985 Enrolled
English
What you'll learn
Understand the transformational role of analytics in marketing
Build and measure brand architecture and brand value
Calculate and utilize customer lifetime value for strategic decisions
Design and analyze marketing experiments to optimize campaigns
Use regression analysis to understand consumer behavior and marketing effectiveness
Interpret data to make informed marketing decisions
Evaluate marketing strategies based on ROI and long-term value
Apply analytics tools to real-world marketing challenges
Skills you'll gain
This course includes:
4.5 Hours PreRecorded video
14 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 5 modules in this course
This course provides a comprehensive introduction to marketing analytics, focusing on leveraging data for effective decision-making in marketing. Over five modules, learners explore various aspects of data-driven marketing strategies. The course begins with an overview of the marketing process and the role of analytics, using Airbnb as a case study. It then delves into metrics for measuring brand assets, teaching students how to build brand architecture and calculate brand value. The third module covers customer lifetime value (CLV), enabling learners to evaluate marketing strategies based on long-term customer relationships. The fourth module focuses on designing and analyzing marketing experiments to assess campaign effectiveness. The final module introduces regression analysis for understanding consumer behavior and marketing mix modeling. Throughout the course, real-world examples, case studies, and interviews with marketing professionals provide practical context for the analytical concepts covered.
Leveraging User Generated Content
Module 1 · 2 Hours to complete
Metrics for Measuring Brand Assets
Module 2 · 4 Hours to complete
Customer Lifetime Value
Module 3 · 2 Hours to complete
Marketing Experiments
Module 4 · 4 Hours to complete
Regression Basics
Module 5 · 2 Hours to complete
Fee Structure
Payment options
Financial Aid
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
4.6
92
Reviews
4,14,083
Students
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Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.