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Marketing Analytics by Coursera

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Course Features

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Duration

16 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

16 hours

Course Description

Large and small organizations alike are constantly flooded with information about consumer preferences. However, this wealth of data does not always lead to better decisions. It is difficult to understand data and marketers are expected to use analytics to justify and inform their decisions.

Marketers can use marketing analytics to analyze, measure and manage their marketing performance in order to maximize effectiveness and maximize return on investment. Marketing analytics provides insight into customer preferences and trends that can be used to improve marketing and business decisions. The Darden School of Business at Virginia gives you the tools and knowledge to analyze regression analysis and measure brand assets and customer preferences. You can also design experiments to optimize marketing campaigns and evaluate their effectiveness. The course will give you a solid understanding about how marketing analytics can be used to predict outcomes and allocate resources. You can follow my posts in Twitter, @rajkumarvenk, and on linkedin: https://www.linkedin.com/in/education-marketing. Raj Professor of Business Administration, Darden

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

How to build and define a brand architecture and how to measure the impact of marketing efforts on brand value over time

How to design basic experiments so that you can assess your marketing efforts and invest your marketing dollars most effectively

How to measure customer lifetime value and use that information to evaluate strategic marketing alternatives

How to set up regressions, interpret outputs, explore confounding effects and biases, and distinguish between economic and statistical significance

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