Introduction to Marketing Research
Instructor
Course Overview
What is Marketing?
What is Marketing Research?
Uses of Marketing Research
Software Tools Used in This Course
Assistant Professor of Marketing
Prior Education
BA in Economics, Yonsei University
MS in Statistics, University of Minnesota
PhD in Marketing, Cornell University
Prior Work Experience
4 years at Hyundai Motor Group
2 years at the Republic of Korea Army
4 years at the University of Hawaii
Research Interest
E-mail: sungjin.kim@rutgers.edu
Name/Major
Hobby
Any Brand you love and why?
Future dream job?
Instructor
Course Overview
What is Marketing?
What is Marketing Research?
Uses of Marketing Research
Software Tools Used in This Course
Achieve core knowledge (e.g., terms, concepts, and technical words) of marketing research.
We will use free software R.
Prior programming experience will help, but it is not necessary.
The aim of the course is not to learn “programming”
Rather, the aim is to learn how to analyze the data to make informed marketing decisions using a software tool, R.
Focus on how to practically apply market research procedures and methods to real-world problems.
Understand the overall market research procedure.
Data Collection & Analysis Methods
Relevance to your future job
The course adopts the “Tell-Show-Do” sequence.
Learning by doing; Learning from errors/mistakes.
Hands-on approach to learning Marketing Research
Through a combination of lectures, practical demonstrations, and assignments, you will acquire the necessary skills to apply scientific methodologies to marketing decision-making.
“Tell”: I will explain key concepts and models through lectures.
“Show”: After introducing theoretical foundations, I will show how you implement these concepts using R
“Do”: You will have lots of assignments designed to reinforce theoretical understanding and analytical skills
Optional Text: Marketing Research by Alvin Burns and Ann Veeck or Marketing Research by V. Kumar, Robert P. Leone, David A. Aaker, George S. Day.
Software: R and Rstudio.
Computer: Students are required to bring a laptop to the class.
Any laptops with Windows (Windows 7 or higher)/Mac/Linux OS with a minimum of 4GB RAM are available to use R and RStudio.
An iPad does not support R
Weight: ~2% per assignment (7 assignments counted out of 8, with the lowest score dropped).
Focus: Replication tasks to ensure students’ understanding of R applications demonstrated in class.
Weight: 4% per assignment (5 assignments total).
Focus: Case-study-based tasks encouraging students to think about real-world marketing research scenarios.
Instructor
Course Overview
What is Marketing?
What is Marketing Research?
Uses of Marketing Research
Software Tools Used in This Course
In short, “Marketing is meeting needs profitably.”
Examples:
Tesla Electric Vehicles: Addressing demand for sustainable and high-performance transportation.
Netflix Streaming Service: Transforming how people consume entertainment.
Samsung Frame TV: Blending technology with home aesthetics.
Marketing involves collaboration and learning from customers.
Products and services are interrelated (e.g., GM offering cars as part of a service).
Instructor
Course Overview
What is Marketing?
What is Marketing Research?
Uses of Marketing Research
Software Tools Used in This Course
Marketing research is the process of designing, gathering, analyzing, and reporting information that may be used to solve a specific marketing problem.
A more formal definition from the American Marketing Association is
“the function that links the consumer, customer, and public to the marketer through information – information used to identify and define marketing opportunities and problems; generate, refine, and evaluate marketing actions; monitor marketing performance; and improve the understanding of marketing as a process?”
Marketing research links the consumer to the marketer by providing information that can be used in making marketing decisions
Marketing Research Jobs are the highest-growth job demand
“The U.S. Bureau of Labor Statistics sees strong growth in the data science field and predicts the number of jobs will increase by about 28% through 2026. To give that 28% a number, that is roughly 11.5 million new jobs in the field.”
Instructor
Course Overview
What is Marketing?
What is Marketing Research?
Uses of Marketing Research
Software Tools Used in This Course
Identify marketing opportunities and problems.
Generate, refine, and evaluate potential marketing actions.
Monitor marketing performance
Some marketing research studies are designed to:
Identify consumer problems and pain points.
Evaluate solutions that address these problems.
Example: Domino’s sales were struggling in early 2010.
Domino’s conducted extensive marketing research through customer surveys, social media analysis, and focus groups.
The research revealed two main problems:
Domino’s used the insights from this research to make drastic changes:
Selecting target markets
Research product, pricing, promotion, and distribution options.
Example: Apple iPhone Launch Strategy
Marketing research helps companies:
Track sales and consumer behavior through data collection at various points of sale.
Monitor brand performance using social media and other online metrics.
Most marketing research studies are trying to understand and predict consumer behavior, which is a difficult task.
Pepsi Challenge launched in the early 1980s:
Blind taste tests showed many consumers preferred Pepsi over Coca-Cola.
This campaign highlighted Coca-Cola’s declining market share.
Coca-Cola conducted taste tests indicating consumers favored a sweeter formula.
Despite positive research, consumers rejected New Coke.
The backlash led to the reintroduction of the original formula as Coca-Cola Classic.
Marketing research can provide valuable insights, but it may not capture the full scope of consumer sentiment.
Emotional connections can significantly influence consumer preferences.
Instructor
Course Overview
What is Marketing?
What is Marketing Research?
Uses of Marketing Research
Software Tools Used in This Course
Why R? - Free and Powerful!
Statistical Power:
Data Visualization:
Reproducibility:
Specialized Packages:
Data Manipulation: