Publicitate și marketing digital 101: luați ghidul complet
Cum văd consumatorii marca dvs. în raport cu concurenții dvs.? …
Ce vei învăța
From one-off customer satisfaction surveys to brand tracking surveys that are administering 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, statistical learners will become familiar with established 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.
Mastering the selling process
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Ce vei învăța
Create several sales necessary tools that are essential to becoming a high-performer in sales. These tools are based around the foundation of knowledge, skill and discipline.
Each tool makes up the Sales Toolkit, which is a living document to guide you through each and every step of the sales process.
Applying Data Analytics in Marketing
This course introduces students to the science of business analytics …
Ce vei învăța
Get the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives.
Identify the ideal analytic tool for their specific needs
Understand valid and reliable ways to collect, analyze, and visualize data
Utilize data in decision making for their agencies, organizations or clients.
Survey analysis to Gain Marketing Insights
How do consumers see your brand relative to your competitors? …
Ce vei învăța
From one-off customer satisfaction surveys to brand tracking surveys that are administering 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, statistical learners will become familiar with established 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.