Dates:
NEW
This program provides you with an overview of the best approaches and practices in digital marketing measurements and analysis, and offers an understanding of how these tools can be integrated to inform strategic direction.
This program is delivered in collaboration with GetSmarter. Please register on the GetSmarter website.
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Digital Marketing Analytics (self-paced online)
Certificate Track: Strategy and Innovation
Location: Online
Tuition: $2,800
Program Days (for ACE Credit) 2
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New digital technologies have fundamentally reshaped marketing theory and practice over the last decade and have led to a drastic shift in the quality and quantity of information we are able to store, access, and analyze. With this proliferation of data has come an increasing need for many businesses to better understand and react to various consumer patterns, as well as evolve the way they measure, plan, and implement their marketing activity. As such, there’s been a growing demand for skilled marketing analysts who are equipped to ensure optimal return on investment (ROI) for marketing spend and to deliver valuable insights that drive better customer service.
This online program will expose you to expert instruction from Sinan Aral, David Austin Professor of Management at the MIT Sloan School of Management, who currently leads our in-person program, Digital Marketing and Social Media Analytics.
“I firmly believe we’re on the brink of a revolution in our understanding of human behavior, and the reason for that is the availability of massive data on micro-level human interaction at population scale.”
– Sinan Aral, David Austin Professor of Management at the MIT Sloan School of Management
This online program integrates rich, interactive media such as videos, infographics, and e-learning activities as well as traditional didactic components such as written study guides (program notes). There are also opportunities for collaborative learning through discussion forums. The following modules contribute to the holistic approach of your learning path:
ORIENTATION MODULE – WELCOME TO YOUR ONLINE CAMPUS
ONE WEEK
You’ll be welcomed with a personal call and get introduced to your online teaching and technical support network. Begin connecting with fellow participants while exploring the navigation and tools of your Online Campus. Be alerted to key milestones in the learning path, and review how your results will be calculated and distributed. You’ll be required to complete your participant profile, confirm your certificate delivery address, and submit a digital copy of your passport/identity document.
MODULE 1 – UNDERSTANDING THE DIGITAL MARKETING CHANNEL MIX
In this module, you’ll gain insight into the integrated nature of digital marketing and the various digital channels that can be leveraged to optimize marketing spend. You’ll have the opportunity to focus on the channels of search, display, mobile, and social marketing, and examine how these channels can work together. In doing so, you’ll begin to recognize the significance of the integrated, multi-channel experience.
MODULE 2 – IMPLEMENTING INTEGRATED DIGITAL MARKETING
This module aims to give you experience and insight into certain available digital marketing analytics tools and teach you how to use these tools to interpret campaign performance. Digital marketing analytics tools such as Google Adwords, Facebook Ads, and web analytics tools such as Google Analytics will be explored. You’ll practically apply these tools with the data sets provided to you, and use them to analyze and measure marketing performance.
MODULE 3 – UNDERSTANDING PREDICTIVE ANALYTICS AND PREDICTIVE MODELING
In this module, you’ll come to understand more about how predictive analytics is used in digital marketing and why it forms such an integral part of marketing strategy. You’ll learn how predictive analytics use data and statistical algorithms to identify the likelihood of future outcomes based on historical data. You’ll then go beyond knowledge of what has happened in the past and learn how to provide an assessment of what will happen in the future -an essential step in improving marketing campaigns.
MODULE 4 – IMPLEMENTING PREDICTIVE ANALYTICS ACROSS CHANNELS
This module aims to equip you with an understanding of what is involved in creating a predictive model before implementing predictive analytics techniques across digital marketing channels. You’ll learn how to create a predictive model, which involves techniques such as regression analysis, basic descriptive statistics (mean, min/max, standard deviation), using software such as R. You’ll implement these predictive analytics techniques across digital marketing channels using a real-world case study and create a predictive model on this basis.
MODULE 5 – OPTIMIZING RETURN ON INVESTMENT (ROI)
In this module, you’ll work with marketing campaign data across multiple channels and learn to optimize certain marketing strategies for optimal performance and ROI. You’ll become familiar with the factors influencing return on investment and consider where to adjust your marketing spend. Finally, you’ll learn to measure ROI, deduce the efficiency of a given marketing campaign in obtaining optimal ROI, and then recommend ROI optimization strategies for this same campaign.
MODULE 6 – THE FUTURE OF INTEGRATED DIGITAL MARKETING: VIDEO, MOBILE AND AI
This final module offers you an introduction to the exciting future of digital marketing. You’ll explore the possibilities offered by video and mobile marketing, as well as the applications of artificial intelligence in these and other contexts. Finally, through the use of data and research from previous modules, you’ll create a holistic digital marketing plan for your ongoing project, aimed at optimizing a given marketing campaign.
ONGOING PROJECT – CREATE A DIGITAL MARKETING OPTIMIZATION PLAN
By the end of this program, you’ll be equipped to create a digital marketing optimization plan for your marketing portfolio using a real-world case study with corresponding data sets. The ongoing project helps you engage with key ideas related to optimizing a digital marketing strategy. These include developing a predictive model using predictive analytics tools, recommending ROI optimization strategies, and finally creating a 6-10 page report that pieces everything together and draws on data-driven evidence to support your overall strategy.