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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study, Virtual Classroom	Video and Text Based

Course Overview

Modern technologies have transformed marketing, resulting in a significant increase in the quality and amount of data we can access, keep and analyze. This data explosion enables firms to better understand and respond to customer trends. The Digital Marketing Analytics online course explains how to use analysis and measurement as part of the digital marketing plan.

There is a rise in the requirement for evolution in marketing activity planning, measurement, and implementation. Companies need trained experts who can provide the best return on investment (ROI) for marketing expenditure and give important insights that lead to better customer support. The Digital Marketing Analytics training covers the most recent software of machine learning, artificial intelligence, and predictive modelling to help drive ROI campaigns more effectively.

According to an MIT Sloan review, A packaged goods company's internet traffic has increased by 15% after it began utilizing data and AI to tailor content and provide a more customized experience. The Digital Marketing Analytics syllabus includes strategies and techniques of digital marketing to increase traffic and sales.

The Highlights

Course provider Getsmarter
Self-paced learning
6 weeks duration
Online learning
6-8 hours per week
MIT offering
Split option of payment
Downloadable resources
Projects and assessments
Shareable certificate

Programme Offerings

Infographics
video lectures
Live polls
online learning
Offline resources
quizzes
Self-paced learning
Case Studies

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	MIT Sloan School of Management, Cambridge

Fee type	Fee amount in INR
Digital Marketing Analytics fees	Rs. 2,33,035

Eligibility Criteria

Certification Qualifying Details

To qualify for the Digital Marketing Analytics certification, Learners will have to complete and submit the projects, assignments, and finish the online training modules. Surveys, questionnaires, live polls, and quizzes must be completed by students in the classroom. Participants are graded based on their projects, classroom activities, and assignments submitted during the course. To be certified, all of the requisites specified in the coursebook must be met.

What you will learn

SEO skillsDigital marketing skills

After the completion of Digital Marketing Analytics from MIT, Candidates will gain experience using analytical tools and approaches to solve real-world business problems and develop an understanding of the existing and potential use of artificial intelligence and machine learning in digital marketing. Learners will develop the capacity to propose ideas for optimizing ROI for online marketing initiatives and learn to design digital marketing strategies based on customer research and data for effective campaign improvement.

Who it is for

EntrepreneurMarketing Manager

Anybody working in marketing or interested to make a career in marketing and wish to study digital technology and marketing.
Candidates who wish to improve their analytical skills and expertise.
Entrepreneurs and small company owners who want to learn how to create sales and increase revenue.
Marketing executives like marketing managers who wish to broaden their knowledge or enhance their desirability to prospective employers.

Admission Details

To get admission in the Digital Marketing Analytics training from MIT, follow the below-mentioned steps:

Step 1. Open the official course website with the given URL (https://www.getsmarter.com/products/mit-sloan-digital-marketing-analytics-online-short-course)

Step 2. Click on the ‘Register Now’ button to start the process of registration

Step 3. Agree with the terms and conditions of the provider to continue

Step 4. Fill in the personal details to create a profile on the GetSmarter

Step 5. Provide the sponsor details if applicable and fill in mailing address details

Step 6. Make payment and start the course on the Getsmarter platform

The Syllabus

Identify the role and effectiveness of search, display, mobile, and social marketing channels within the digital marketing channel mix
Recognize the various digital marketing channels that drive marketing spend: search, display, mobile, and social
Discuss the concepts of integrated marketing and multichannel marketing
Articulate whether the success of marketing activities is a result of integrated multichannel marketing
Show how marketing optimization depends on the integration of various digital marketing channels

Identify the role that digital marketing analytics plays in conjunction with web analytics
Recognize a variety of digital marketing and web analytics tools available to the digital marketing professional today
Outline how different marketing analytics tools are used for understanding the online marketplace
Apply digital marketing analytics tools to capture key metrics of performance for a given marketing campaign
Choose the digital marketing analytics tools that are best suited to a given marketing channel
Deconstruct key metrics to gain insight into the campaign's performance

Identify the current applications of predictive analytics for digital marketing
Recognize the distinction between predictive marketing and a predictive marketing organization
Review various predictive analytics tools used for statistical analysis
Discuss the integrative roles of search, display, mobile, and social networks in predictive analytics
Outline the process of building a predictive marketing organization
Articulate why predictive marketing is an essential part of marketing strategy

Explain how to leverage data summarization, experimentation, and analysis as an application for targeting
Review the basics of developing a predictive model and the concept of regression analysis
Identify basic descriptive statistics, such as mean, mode, min/max, standard deviation, and variance
Demonstrate the application of regression analysis for predictive modelling
Outline the functions of R, a tool used for statistical analysis
Use predictive analytics techniques to suggest a predictive model for a given marketing strategy

Identify the importance of causality and causal inference in measuring ROI
Review the campaign management structures affecting ROI
Choose the optimal campaign management structures, targeting, and channel mix for a given product or business to achieve high ROI
Recommend ROI optimization strategies for a given marketing campaign based on marketing campaign data and performance analysis
Analyze the efficiency of a given marketing campaign in obtaining optimal ROI

Recognize the future of video marketing and its impact on the digital marketing channel mix
Define the terms "artificial intelligence" and "machine learning" as they relate to digital marketing
Discuss the role of mobile marketing in the future of integrated digital marketing
Investigate the extent to which an organization may already be using AI and machine learning and how to incorporate them further
Articulate how AI and machine learning could benefit an organization
Compile a digital marketing plan from interpreted consumer data and research to feedback into efficient campaign optimization

Instructors

MIT Sloan School of Management, Cambridge Frequently Asked Questions (FAQ's)

1: What are the categories of digital marketing?

The categories of digital marketing are Marketing Analytics, Email Marketing, Social Media Marketing, Search Engine Optimization, Mobile Marketing, Content Marketing, and pay-per-click.

2: What are the 5 Ds of digital marketing?

Digital platforms, digital devices, digital media, digital technology and digital data are the 5 Ds of digital marketing.

3: What are the 3 categories of digital media?

The 3 categories of digital media are: owned media, earned media, and paid media.

4: What are the examples of digital marketing?

Some of the examples of digital media are: