We may earn an affiliate commission when you visit our partners.
Course image
David Schweidel

How do consumers see your brand relative to your competitors? How should a new product be positioned when it’s launched? Which customer segments are most interested in our current offerings? For these questions and many others, surveys remain the tried and true method for gaining marketing insights. From one-off customer satisfaction surveys to brand tracking surveys that are administered on a continuous basis, they provide the information that marketers need to understand how their products, services and brands are seen by consumers. In Analytic Methods for Survey Data, learners will become familiar with established statistical methods for converting survey responses to insights that can support marketing decisions. Techniques discussed include factor analytics, cluster analysis, discriminant analysis and multi-dimensional scaling. These techniques are presented within the STP (Segmentation, Positioning, Targeting) Framework, enabling learners to apply the analytic techniques to develop a marketing strategy. It is recommended that you complete the Meaningful Marketing Insights course offered by Coursera before taking this course.

Read more

How do consumers see your brand relative to your competitors? How should a new product be positioned when it’s launched? Which customer segments are most interested in our current offerings? For these questions and many others, surveys remain the tried and true method for gaining marketing insights. From one-off customer satisfaction surveys to brand tracking surveys that are administered on a continuous basis, they provide the information that marketers need to understand how their products, services and brands are seen by consumers. In Analytic Methods for Survey Data, learners will become familiar with established statistical methods for converting survey responses to insights that can support marketing decisions. Techniques discussed include factor analytics, cluster analysis, discriminant analysis and multi-dimensional scaling. These techniques are presented within the STP (Segmentation, Positioning, Targeting) Framework, enabling learners to apply the analytic techniques to develop a marketing strategy. It is recommended that you complete the Meaningful Marketing Insights course offered by Coursera before taking this course.

Note: This course would require using XL Stat, an Excel Add-on that students would need to purchase. XL Stat offers a 30-day free trial, so students could complete this course without incurring additional expense.

Enroll now

What's inside

Syllabus

Introduction to Factor Analysis
This module will provide readings and discussions to provide an introduction to the topic of Factor Analysis. It is recommended that you complete the Meaningful Marketing Insights course offered by Coursera before taking this course.
Read more

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Explores advanced statistical methods like factor analysis, cluster analysis, and multi-dimensional scaling
Taught by David Schweidel, an expert in statistical data analysis and marketing
Examines various aspects of marketing strategy, including segmentation, positioning, and targeting
Involves practical exercises that provide hands-on experience in using statistical software for data analysis
Assumes prior knowledge of basic statistical concepts and recommends completing a prerequisite course
Requires the use of XL Stat, an Excel add-on that may incur additional costs for students

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Reviews summary

Survey analysis for marketing insights

According to learners (based on course description), this course offers a look into established statistical methods for analyzing survey data to derive marketing insights. It is structured around the STP (Segmentation, Positioning, Targeting) Framework, making the application highly relevant for marketing professionals. Key techniques covered include factor analysis, cluster analysis, and perceptual mapping. While the course aims to provide practical tools, potential students should note the recommendation to complete a prerequisite course and the requirement to use XL Stat, an Excel add-on, which may involve a cost after the trial period.
Another course is recommended prior
"The course description mentions a recommended prerequisite course."
"Taking the course without the recommended prerequisite might be challenging for some."
"Prospective students should consider if they have met the suggested background."
Specific software needed, trial available
"Having to use XL Stat was a specific requirement for the exercises."
"The 30-day free trial of XL Stat was sufficient for the course duration."
"Potential students should be aware of the need for the XL Stat add-on."
Covers key methods like factor and cluster analysis
"The coverage of factor analysis and cluster analysis was particularly useful."
"I found the modules on segmentation and perceptual maps valuable."
"The course provides a good overview of several important statistical techniques."
Applies statistics directly to market problems
"I learned how to apply statistical methods directly to marketing challenges."
"The course structure around the STP framework makes the analysis very relevant."
"It provides practical tools for gaining marketing insights from surveys."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Survey analysis to Gain Marketing Insights with these activities:
Review of Basic Statistics Concepts
Strengthen your foundation by reviewing the basics of statistics, which will enhance your understanding of the more advanced techniques covered in the course.
Browse courses on Descriptive Statistics
Show steps
  • Review your notes or a textbook on basic statistics.
  • Take practice quizzes or solve practice problems.
Review: Applied Multivariate Statistical Analysis
Expand your knowledge by reading a seminal text in multivariate statistical analysis, which covers factor analysis and perceptual mapping techniques.
Show steps
  • Read the relevant chapters on factor analysis and perceptual mapping.
  • Work through the practice exercises and examples.
XLStat Tutorial for Factor Analysis
Complete a tutorial on using XLStat to perform factor analysis, which will enhance your practical skills.
Browse courses on Factor Analysis
Show steps
  • Download and install XLStat.
  • Follow the step-by-step instructions in the tutorial.
  • Analyze sample data using factor analysis in XLStat.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Discussion Forum Participation
Engage in discussions with peers to clarify concepts, exchange ideas, and deepen your understanding.
Browse courses on Factor Analysis
Show steps
  • Read the assigned readings and lecture notes.
  • Post questions or comments on the discussion forum.
  • Respond to questions or comments from other students.
Factor Analysis Practice Problems
Solve practice problems to reinforce your understanding of factor analysis techniques.
Browse courses on Factor Analysis
Show steps
  • Review the lecture notes on factor analysis.
  • Attempt the practice problems at the end of each lecture.
  • Compare your answers with the provided solutions.
  • Identify areas where you need additional practice.
Data Analysis Workshop
Attend a workshop to gain hands-on experience with factor analysis and other data analysis techniques.
Browse courses on Factor Analysis
Show steps
  • Find a relevant workshop in your area or online.
  • Register for the workshop.
  • Attend the workshop and participate actively.
Customer Segmentation Analysis Project
Conduct a customer segmentation analysis using real-world data, applying the techniques learned in the course.
Browse courses on Customer Segmentation
Show steps
  • Gather customer data from a suitable source.
  • Clean and prepare the data for analysis.
  • Perform customer segmentation using appropriate statistical techniques.
  • Develop customer profiles for each segment.
  • Present your findings in a clear and concise report.

Career center

Learners who complete Survey analysis to Gain Marketing Insights will develop knowledge and skills that may be useful to these careers:
Marketing Analyst
Marketing Analysts conduct market research to uncover trends and gather data that can be used to develop marketing strategies and campaigns. This course provides a foundation in statistical methods for analyzing survey data, which is a key skill for Marketing Analysts. By learning how to interpret and analyze survey results, you can gain insights into consumer behavior and make more informed marketing decisions.
Market Researcher
Market Researchers conduct research to gather information about consumer needs and preferences. This course provides a foundation in statistical methods for analyzing survey data, which is a key skill for Market Researchers. By learning how to interpret and analyze survey results, you can gain insights into consumer behavior and make more informed marketing decisions.
Marketing Professor
Marketing Professors teach and research marketing topics. This course provides a foundation in statistical methods for analyzing survey data, which is a key skill for Marketing Professors. By learning how to interpret and analyze survey results, you can gain insights into consumer behavior and make more informed marketing decisions.
Marketing Researcher
Marketing Researchers conduct market research to gather information about consumer needs and preferences. This course provides a foundation in statistical methods for analyzing survey data, which is a key skill for Marketing Researchers. By learning how to interpret and analyze survey results, you can gain insights into consumer behavior and make more informed marketing decisions.
Marketing Consultant
Marketing Consultants provide advice and recommendations to businesses on marketing strategies and campaigns. This course provides a foundation in statistical methods for analyzing survey data, which is a key skill for Marketing Consultants. By learning how to interpret and analyze survey results, you can gain insights into consumer behavior and make more informed marketing decisions.
Public relations manager
Public Relations Managers are responsible for managing the public image of organizations. This course provides a foundation in statistical methods for analyzing survey data, which is a key skill for Public Relations Managers. By learning how to interpret and analyze survey results, you can gain insights into public opinion and make more informed public relations decisions.
Brand Manager
Brand Managers are responsible for developing and executing marketing strategies for brands. This course provides a foundation in statistical methods for analyzing survey data, which is a key skill for Brand Managers. By learning how to interpret and analyze survey results, you can gain insights into consumer behavior and make more informed marketing decisions.
Product Manager
Product Managers are responsible for developing and managing products. This course provides a foundation in statistical methods for analyzing survey data, which is a key skill for Product Managers. By learning how to interpret and analyze survey results, you can gain insights into consumer behavior and make more informed product decisions.
Advertising Manager
Advertising Managers are responsible for developing and executing advertising campaigns. This course provides a foundation in statistical methods for analyzing survey data, which is a key skill for Advertising Managers. By learning how to interpret and analyze survey results, you can gain insights into consumer behavior and make more informed advertising decisions.
Business Analyst
Business Analysts use data to identify and solve business problems. This course provides a foundation in statistical methods for analyzing survey data, which is a key skill for Business Analysts. By learning how to interpret and analyze survey results, you can gain insights into data and make more informed business decisions.
Data Analyst
Data Analysts use data to solve business problems. This course provides a foundation in statistical methods for analyzing survey data, which is a key skill for Data Analysts. By learning how to interpret and analyze survey results, you can gain insights into data and make more informed decisions.
Consultant
Consultants provide advice and recommendations to businesses. This course provides a foundation in statistical methods for analyzing survey data, which can be helpful for Consultants when it comes to understanding client needs and developing solutions.
Entrepreneur
Entrepreneurs start and run their own businesses. This course provides a foundation in statistical methods for analyzing survey data, which can be helpful for Entrepreneurs when it comes to understanding customer needs and developing products and services.
Sales Manager
Sales Managers are responsible for leading and managing sales teams. This course provides a foundation in statistical methods for analyzing survey data, which can be helpful for Sales Managers when it comes to understanding customer needs and developing sales strategies.
Customer Service Manager
Customer Service Managers are responsible for managing customer service operations. This course provides a foundation in statistical methods for analyzing survey data, which can be helpful for Customer Service Managers when it comes to understanding customer feedback and improving customer service.

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Survey analysis to Gain Marketing Insights.
Provides comprehensive coverage of the fundamental concepts and methods used in marketing research, making it an excellent reference for understanding the theoretical underpinnings of the techniques covered in the course.
Provides a practical guide to the application of multivariate statistical methods, including factor analysis, cluster analysis, and discriminant analysis.
Provides a comprehensive overview of advanced marketing research methods, including data mining and conjoint analysis.
Provides a practical guide to using marketing insights to drive business decisions.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Similar courses are unavailable at this time. Please try again later.
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser