We may earn an affiliate commission when you visit our partners.
Course image
Coursera logo

Survey analysis to Gain Marketing Insights

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
Implementing Factor Analysis
This module will provide lectures and exercises that will inform students on how to determine the number of factors to consider in your analysis and to evaluate the fit of the data.
Customer Segmentation
This module will introduce components of customer segmentation to students. Students will use this knowledge to be able to analyze data and make more informed business decisions.
Perceptual Maps
This module will explain and describe perceptual maps. Students will be able to create perceptual maps and also analyze data from perceptual maps.

Good to know

Know what's good
, what to watch for
, 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

Save Survey analysis to Gain Marketing Insights to your list so you can find it easily later:
Save

Reviews summary

Practical survey analysis course

Learners say practical knowledge is a main takeaway of this survey analysis course. Taught by knowledgeable instructors, students say key concepts are explained well and exemplified with engaging assignments. Most students complete the course in under 3 hours and recommend it to others.
Taught by knowledgeable instructors.
"Excellent course! Great professor!"
"a​wesome course, great instructor"
Recommended by students.
"Recommended course!"
Emphasizes practical applications of survey analysis.
"great explanation"
"practical knowledge"
"very useful"
Can be completed in under 3 hours.
"very old content"
"finished it in 2/3 hours"

Career center

Learners who complete Survey analysis to Gain Marketing Insights will develop knowledge and skills that may be useful to these careers:
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 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 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.
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.
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.
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.
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.
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.
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.
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.
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

Here are nine courses similar to Survey analysis to Gain Marketing Insights.
UX Research at Scale: Surveys, Analytics, Online Testing
Most relevant
Design a Factor Analysis Using Survey Data in Google...
Most relevant
Quantitative Research
Most relevant
Introduction to Social Media Analytics
Most relevant
Create a Customer Service Survey in Microsoft Forms
Most relevant
Meaningful Marketing Insights
Most relevant
Conducting Stakeholder Interviews and Surveys
Use SurveyMonkey to Create a Survey and Analyze Results
Data Collection: Online, Telephone and Face-to-face
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 - 2024 OpenCourser