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.
Ce cours fait partie de la Spécialisation Foundations of Marketing Analytics
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Spécialisation Foundations of Marketing AnalyticsUniversité EmoryÀ propos de ce cours
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Programme de cours : ce que vous apprendrez dans ce cours
Introduction to Factor Analysis
Implementing Factor Analysis
Customer Segmentation
Perceptual Maps
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- 5 stars61,61 %
- 4 stars26,26 %
- 3 stars11,11 %
- 1 star1,01 %
Meilleurs avis pour SURVEY ANALYSIS TO GAIN MARKETING INSIGHTS
This course if very useful for Business and Entrepreneurs
Great course, with a much broader content than reflected in the title, allowing to gain insight by using regression analysis of survey data.
awesome course, great instructor. very happy i took it.
nice course to understand practical application of taking surveys and analyzing them
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