Course Summary
Learn how to analyze survey data to gain marketing insights with this course. Discover the tools and techniques used in survey analysis and how to interpret data to make informed business decisions.Key Learning Points
- Understand the importance and benefits of survey analysis in marketing
- Learn how to design effective surveys and collect data
- Discover how to analyze and interpret survey data to gain insights
Job Positions & Salaries of people who have taken this course might have
- USA: $60,000 - $80,000
- India: ₹350,000 - ₹700,000
- Spain: €20,000 - €30,000
- USA: $60,000 - $80,000
- India: ₹350,000 - ₹700,000
- Spain: €20,000 - €30,000
- USA: $80,000 - $120,000
- India: ₹800,000 - ₹1,500,000
- Spain: €30,000 - €45,000
- USA: $60,000 - $80,000
- India: ₹350,000 - ₹700,000
- Spain: €20,000 - €30,000
- USA: $80,000 - $120,000
- India: ₹800,000 - ₹1,500,000
- Spain: €30,000 - €45,000
- USA: $50,000 - $80,000
- India: ₹300,000 - ₹800,000
- Spain: €18,000 - €30,000
Related Topics for further study
Learning Outcomes
- Design effective surveys to collect data
- Analyze and interpret survey data to gain insights
- Make informed business decisions based on survey analysis
Prerequisites or good to have knowledge before taking this course
- Basic understanding of marketing concepts
- Familiarity with Excel or other data analysis tools
Course Difficulty Level
IntermediateCourse Format
- Online Self-Paced
- Video Lectures
- Assignments and Quizzes
- Peer-Reviewed Projects
Similar Courses
- Data Analysis and Presentation Skills: the PwC Approach
- Marketing Analytics: Data Tools and Techniques
Related Education Paths
Notable People in This Field
- Neil Patel
- Avinash Kaushik
Related Books
Description
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.
Outline
- Introduction to Factor Analysis
- Using Factor Analysis to Identify Underlying Constructs - Part 1
- Using Factor Analysis to Identify Underlying Constructs - Part 2
- Collecting and Reporting Survey Results
- The Sharing Economy
- Module 1 "Walk-through"
- Module 1 Quiz
- Implementing Factor Analysis
- Using Factor Analysis to Identify Underlying Constructs - Part 3
- Using Factor Analysis to Identify Underlying Constructs - Part 4
- Using Factor Analysis to Identify Underlying Constructs - Part 5
- Module 2 "Walk-through"
- Practice Quiz - Module 2
- Module 2 Quiz
- Customer Segmentation
- Customer Segmentation - Part 1
- Customer Segmentation - Part 2
- Customer Segmentation - Part 3
- In Retail, Profiling for Profit
- Delta Changes SkyMiles to Require Minimum Spend
- Starbucks in changing its rewards program, and people are not happy about it
- Module 3 "Walk-through"
- Practice Quiz - Module 3
- Module 3
- Perceptual Maps
- Building Perceptual Maps - Part 1
- Building Perceptual Maps - Part 2
- A Better Way to Map Brand Strategy:
- Five Steps to Change the Perception of Your Brand
Summary of User Reviews
The Survey Analysis for Marketing Insights course on Coursera has received positive reviews from users. Many users found the course to be informative and practical. However, some users mentioned that the course could be more engaging and interactive.Key Aspect Users Liked About This Course
Informative and practical course contentPros from User Reviews
- Clear and concise explanations
- Real-world examples and case studies
- Useful tools and techniques taught
Cons from User Reviews
- Limited interaction with instructors and peers
- Course content may not be engaging for some learners
- Some technical issues with the platform
David Schweidel
4.5 Raiting
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