15.570 Digital Marketing and Social Media Analytics
Provides a detailed, applied perspective on the theory and practice of digital marketing and social media analytics in the age of big data. Covers concepts such as the difference between earned and paid media, predictive modeling for ad targeting and customer relationship management, measuring and managing product virality, viral product design, native advertising, and engaging the multichannel experience. Stresses the theory and practice of randomized experimentation, AB testing and the importance of causal inference for marketing strategy. Combines lectures, case studies, and guest speakers with relevant industry experience that speak directly to the topics at hand.
This class has no prerequisites.
15.570 will not be offered this semester. It will be available in the Fall semester, and will be instructed by S. Aral.
Lecture occurs 2:30 PM to 4:00 PM on Tuesdays and Thursdays in E62-276.
This class counts for a total of 6 credits.
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