Introduction to Decision Science for Marketing
- Offered byCoursera
Introduction to Decision Science for Marketing at Coursera Overview
Duration | 22 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Introduction to Decision Science for Marketing at Coursera Highlights
- Earn a certificate from O.P. Jindal Global University
- Add to your LinkedIn profile
- 36 quizzes
Introduction to Decision Science for Marketing at Coursera Course details
- What you'll learn
- Demonstrate a solid understanding of the decision-making process through data analytics.
- Visualize and imagine the application of data analytics techniques to real-world marketing problems.
- Explain how marketing analytics and decision science approaches for marketing can enhance the quality of marketing decision-making.
- Welcome to the Introduction to Decision Science for Marketing course! This course will introduce the principles and methods of data analytics as they apply to marketing. You will learn how and why to use data and analytics to inform marketing decisions and strategies.
- This beginner-level course provides awareness about the present practice of data-driven decision-making in the marketing discipline. This will help you familiarize yourself with practical tips about when and where to use various techniques and tools. You will learn about critical theories and concepts with the help of relevant examples.
- To succeed in this course, you should have basic clarity of concepts of the marketing discipline. As a prerequisite for the course, you should know key marketing terms, such as segmentation, targeting, and positioning.
- After the successful completion of this course, you will have basic understanding of how to use data for making marketing predictions. You will have sufficient knowledge of foundational elements, the relationship between data and marketing constructs/concepts, and how decision science and marketing work in tandem to produce relevant insights for today's market. Finally, the course provides concrete strategies to start with decision science in marketing.
Introduction to Decision Science for Marketing at Coursera Curriculum
Introduction to Decision Science for Marketing
Course Introduction
Meet Your Instructor
Easy Access to Big Data and Analytics
Decision Science for Marketing: An Easy Guide—Part I
Decision Science for Marketing: An Easy Guide—Part II
Decision Science for Marketing: An Easy Guide—Part III
Course Overview
Essential Reading: The Marketing Decision Environment
Essential Reading: The Marketing Engineering and Analytics
Essential Reading: The Marketing Engineering and Analytics
Essential Reading: The Marketing Engineering and Analytics
Easy Access to Big Data and Analytics
Decision Science for Marketing: An Easy Guide—Part I
Decision Science for Marketing: An Easy Guide—Part II
Decision Science for Marketing: An Easy Guide—Part III
Building Customer Profiles to Optimize Enterprise Value
Customer Data
Analyzing Customers Data
Customer Lifetime Value
Managing Your Customers
Essential Reading: Customer Value Assessment and Valuing Customers
Essential Reading: Customer Lifetime Value
Essential Reading: Customer Lifetime Value
Essential Reading: Customer Value
Analyzing Customers Data
Analyzing Customers Data
Customer Lifetime Value
Managing Your Customers
Understanding Consumer Behavior and Preferences Using Decision Science
Weekly Summative Assessment: Introduction to Decision Science for Marketing and Building Customer Profiles to Optimize Enterprise Value
Life Cycle Marketing: Predicting the Customer Journey
Customer Retention, Reactivation, and Acquisition
Predict the Customer Journey for Life Cycle Marketing
Life Cycle Marketing Strategies
Essential Reading: Segmentation and Targeting
Essential Reading: The Customer Value Journey
Essential Reading: Life Cycle Marketing Strategies
Customer Retention, Reactivation, and Acquisition
Predict the Customer Journey for Life Cycle Marketing
Life Cycle Marketing Strategies
Predict Customer Value and Their Likelihood to Buy/Engage
Value-Based Marketing
Predict Likelihood to Buy
Predict Likelihood to Engage
Essential Reading: Predict Customer Value and Value-Based Marketing
Essential Reading: Likelihood to Buy Predictions
Essential Reading: Likelihood to Engage Models
Value-Based Marketing
Predict Likelihood to Buy
Predict Likelihood to Engage
Recommend Products to Each Customer Individually
Make Effective Recommendations
Contextualizing the Customer Experience
Essential Reading: Choosing the Right Customer or Segment
Essential Reading: Understanding Customer Context
Make Effective Recommendations
Contextualizing the Customer Experience
Applications of Data Analytics and Decision Science Tools to Optimize Marketing Campaigns
Weekly Summative Assessment: Life Cycle Marketing: Predicting the Customer Journey, Customer Value, and Their Likelihood to Buy/Engage
Predict Customer Personas and Convert More Customers
Customer Value Journey
Remarketing Campaigns
Using Look-Alike Targeting
Essential Reading: Predict Customer Personas and Make Marketing Relevant Again
Essential Reading: Predictive Remarketing Campaigns
Essential Reading: Using Look-Alike Targeting
Customer Value Journey
Remarketing Campaigns
Using Look-Alike Targeting
Grow Customer Value
Growing the Value of Your Customers
Programs to Predict Post-Purchase Behavior
Campaigns for Customer Appreciation
Essential Reading: The Secret to Growing Customer Value
Essential Reading: Predictive Post-Purchase Programs
Essential Reading: Customer Appreciation Campaigns
Growing the Value of Your Customers
Programs to Predict Post-Purchase Behavior
Campaigns for Customer Appreciation
Retention of Customers
Not All Churns Are Equal
Churn Management
Essential Reading: Understanding Your Retention Rate
Essential Reading: Proactive Retention Management
Not All Churns Are Equal
Churn Management
Decision Science to Personalize Marketing Messages and Improve the Overall Customer Experience
Weekly Summative Assessment: Predict Customer Personas and Convert More Customers, Grow Customer Value, and Retention of Customers
How to Use Predictive Analytics in Marketing
How to Optimize Marketing Spending Using Customer Data
Capabilities Organizations Need to Possess
Essential Reading: Differentiate Spending Based on Customer Value
Essential Reading: Organizational Capabilities for Predictive Marketing
How to Optimize Marketing Spending Using Customer Data
Capabilities Organizations Need to Possess
Useful Tools
Predictive Marketing Technology Overview
Other Tools You Might Be Aware Of
Get Started
Essential Reading: An Overview of Predictive Marketing Technology
Essential Reading: Other Tools You May Have Heard About
Essential Reading: Which Solution Is Right for Me?
Predictive Marketing Technology Overview
Other Tools You Might Be Aware Of
Get Started
What It Needs to Be a Successful Predictive Marketer
Career for Future Predictive Marketers
Security and Privacy Concerns with Customer Data
Marketing Engineering Requires Life-Long Learning
Essential Reading: Career Advice for Aspiring Predictive Marketers
Essential Reading: Privacy and the Difference Between Delightful and Invasive
Essential Reading: The Future of Predictive Marketing
Career for Future Predictive Marketers
Security and Privacy Concerns with Customer Data
Marketing Engineering Requires Life-Long Learning
Ethical Considerations While Using Decision Science in Marketing Decisions
Weekly Summative Assessment: How to Use Predictive Analytics in Marketing, Useful Tools, and What It Needs to Be a Successful Predictive Marketer
Course Wrap-Up Video
Graded Quiz: How to Use Predictive Analytics in Marketing, Useful Tools and What It Needs to Be a Successful Predictive Marketer
Introduction to Decision Science for Marketing at Coursera Admission Process
Important Dates
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