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. Marketing analytics enables marketers to measure, manage and analyze marketing performance to maximize its effectiveness and optimize return on investment (ROI). Beyond the obvious sales and lead generation applications, marketing analytics can offer profound insights into customer preferences and trends, which can be further utilized for future marketing and business decisions. This course, developed at the Darden School of Business at the University of Virginia, gives you the tools to measure brand and customer assets, understand regression analysis, and design experiments as a way to evaluate and optimize marketing campaigns. You'll leave the course with a solid understanding of how to use marketing analytics to predict outcomes and systematically allocate resources. You can follow my posts in Twitter, @rajkumarvenk, and on linkedin: https://www.linkedin.com/in/education-marketing. Thanks, Raj Professor of Business Administration at Darden
Analyzing an Experiment: Betty Spaghetty
Compétences que vous apprendrez
Marketing Experiments, Customer Lifetime Value, Regression Analysis, Marketing Analytics, Brand Equity
Avis
Jun 01, 2020
Very helpful and extremely relevant to the present context. As a market research analyst, it deepened my understanding of the many marketing terminologies and jargons and also helped me with my job.
Apr 18, 2020
It was very helpful for my marketing career.The interview with the real world marketing experts at the end of the course also helps and encourages a lot. Thanks to Raj Venkatesan sir for his effort.
Ever wonder how much you have to cut prices to drive the most sales? Or which advertisement copy is more effective in customer conversion? Do an experiment! Experiments allow you to understand the effectiveness of different marketing strategies and forecast expected ROI. This week, we'll explore how to design basic experiments so that you can assess your marketing efforts and invest your marketing dollars most effectively. We'll help you avoid a gap between your test results and field implementation, and explore how web experiments can be implemented cheaply and quickly. By the end of this module, you'll be able to design and conduct effective experiments that test your marketing campaigns--and then use the results to make future marketing decisions.
Enseigné par
Rajkumar Venkatesan
Ronald Trzcinski Professor of Business Administration
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