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MIT/ILP Calendar Event

Digital Marketing and Social Media Analytics

October 16-17, 2017

Overview

New digital technologies have fundamentally reshaped marketing theory and practice the last decade alone. Technology has changed the modes of communication through which firms engage with consumers. Moore's law has made the storage and analysis of consumer data scalable, creating opportunities for fine-grained behavioral analytics. New monitoring tools have fostered precise and personalized customer relationship management practices. The rise of mobile phones and tablets has enabled location based messaging and reciprocal communication. The ubiquity of video content has promulgated rich, native advertising programs. The global emergence of social networking has enabled networked based predictive modeling and new forms of targeting and referral strategies based on the preferences of consumers' peers. And finally, new social media have brought all of this onto the public stage, with word-of-mouth conversations driving brand awareness and brand loyalty, and user-generated content on review and ratings sites making or breaking demand for products or services.

This two-day course provides a detailed, applied perspective on the theory and practice of digital marketing and social media analytics in the 21st century. We will cover 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. Throughout the course we will specifically stress the theory and practice of randomized experimentation, AB testing and the importance of causal inference for marketing strategy.

Topics covered in this course include:

  • Search marketing
  • Social network marketing
  • Social media analytics
  • User generated content management and marketing
  • Mobile advertising and commerce
  • CRM strategy in the age of big data and digital advertising
  • Earned vs paid media
  • Predictive modeling for ad targeting
  • Viral product design
  • The multichannel experience
  • Randomized experimentation
  • A/B testing

Upon completion of this course you should have a fundamental understanding of:

  • The digital advertising ecosystem and attribution and pricing models for digital advertising
  • The fundamentals of web and app analytics and KPIs for web traffic and commerce
  • Search engine marketing, search engine advertising, ad auctions, and strategies for optimizing search engine advertising
  • Social network marketing and social network targeting
  • Predictive analytics using social network data, peer-to-peer marketing and personalized social advertising
  • Targeting and segmentation, specifically demographic targeting and segmentation, behavioral targeting and segmentation, social targeting and segmentation
  • Social listening?analysis of user generated content, reviews, ratings and their effects on consumer demand
  • Mobile commerce and analytics

Location

Cambridge, MA

MIT is located in Cambridge, Massachusetts. The campus, situated in close proximity to Boston’s Logan International Airport, profits from Boston’s excellent public transportation system and the on-campus Tech Shuttle. The closest subway station is Kendall Square, which acts as a commercial center for MIT and the local community.

Registration

ILP members receive a 15% discount on all MIT Sloan Executive Education open enrollment programs held in Massachusetts. ILP members receive a 15% discount on all MIT Professional Education courses. To obtain the discount code, click here (you must be signed in to this website as an ILP member to access the code).