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Volver a Survey analysis to Gain Marketing Insights

Opiniones y comentarios de aprendices correspondientes a Survey analysis to Gain Marketing Insights por parte de Universidad Emory

4.4
41 calificaciones
4 revisiones

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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....

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1 - 4 de 4 revisiones para Survey analysis to Gain Marketing Insights

por Kevin C

Jan 22, 2019

Amazing course!

por Elena W

Dec 06, 2017

Great course, with a much broader content than reflected in the title, allowing to gain insight by using regression analysis of survey data.

por Sonja G

Aug 19, 2017

Well taught class

por Chase M

Jul 23, 2017

Interesting concepts but would have enjoyed class more if it did not rely on a proprietary analytics tool