Organizations large and small are inundated with data about consumer choices. But that wealth of information does not always translate into better decisions. Knowing how to interpret data is the challenge -- and marketers in particular are increasingly expected to use analytics to inform and justify their decisions.
von


Marketinganalyse
University of VirginiaÜber diesen Kurs
No prior experience needed to participate in and benefit from this course.
Könnte Ihr Unternehmen von Mitarbeiterweiterbildungen für gefragte Kompetenzen profitieren?
Probieren Sie Coursera for Business ausWas Sie lernen werden
How to build and define a brand architecture and how to measure the impact of marketing efforts on brand value over time
How to measure customer lifetime value and use that information to evaluate strategic marketing alternatives
How to design basic experiments so that you can assess your marketing efforts and invest your marketing dollars most effectively
How to set up regressions, interpret outputs, explore confounding effects and biases, and distinguish between economic and statistical significance
Kompetenzen, die Sie erwerben
- Marketing Experiments
- Customer Lifetime Value
- Regression Analysis
- Marketing Analytics
- Brand Equity
No prior experience needed to participate in and benefit from this course.
Könnte Ihr Unternehmen von Mitarbeiterweiterbildungen für gefragte Kompetenzen profitieren?
Probieren Sie Coursera for Business ausLehrplan - Was Sie in diesem Kurs lernen werden
Leveraging User Generated Content
Metrics for Measuring Brand Assets
Customer Lifetime Value
Marketing Experiments
Bewertungen
- 5 stars75,21 %
- 4 stars19,35 %
- 3 stars2,83 %
- 2 stars0,86 %
- 1 star1,72 %
Top-Bewertungen von MARKETINGANALYSE
A must learn and it is totally worth it. Level is east to medium. The concepts like CLV , Regression and others are explained in best way . 100% recommended for MBA or equivalent students.
A very good course. If you are a beginner, excellent knowledge gain. If you are a veteran, brilliant refreshing of important concepts and key market indicators. In short, a course worth doing.
This is a very nice course that takes you through some interesting analytics concept - there is a good deal of problem solving or quantitatives involved which as marketers we need to get used to.
This is a great and engaging course to learn about brand equity, brand architecture, CLV, marketing experiments and regression analysis. However, not a complete guide for marketing analytics.
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