Get updates on Eligibility, Admission, Placements Fees Structure
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. 275,740 |
Installment pattern
| 1st installment | Required before: 2025-02-11 | Amount Due: ₹137,870.00 INR |
| 2nd installment | Required before: 2025-03-13 | Amount Due: ₹137,870.00 INR |
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
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
- 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
- Recognize the various digital marketing channels that drive marketing spend: search, display, mobile, and social
- Identify the role and effectiveness of search, display, mobile, and social marketing channels within the digital marketing channel mix
- Discuss the concepts of integrated marketing and multichannel marketing
- Show how marketing optimization depends on the integration of various digital marketing channels
- Articulate whether the success of marketing activities is a result of integrated multichannel marketing
- Recognize a variety of digital marketing and web analytics tools available to the digital marketing professional today
- Identify the role that digital marketing analytics plays in conjunction with web analytics
- Outline how different marketing analytics tools are used for understanding the online marketplace
- Choose the digital marketing analytics tools that are best suited to a given marketing channel
- Apply digital marketing analytics tools to capture key metrics of performance for a given marketing campaign
- Deconstruct key metrics to gain insight into the campaign's performance
- Recognize the distinction between predictive marketing and a predictive marketing organization
- Identify the current applications of predictive analytics for digital marketing
- Review various predictive analytics tools used for statistical analysis
- Outline the process of building a predictive marketing organization
- Discuss the integrative roles of search, display, mobile, and social networks in predictive analytics
- Articulate why predictive marketing is an essential part of marketing strategy
- Review the basics of developing a predictive model and the concept of regression analysis
- Explain how to leverage data summarization, experimentation, and analysis as an application for targeting
- Identify basic descriptive statistics, such as mean, mode, min/max, standard deviation, and variance
- Outline the functions of R, a tool used for statistical analysis
- Demonstrate the application of regression analysis for predictive modeling
- Use predictive analytics techniques to suggest a predictive model for a given marketing strategy
- Review the campaign management structures affecting ROI
- Identify the importance of causality and causal inference in measuring ROI
- Choose the optimal campaign management structures, targeting, and channel mix for a given product or business to achieve high ROI
- Analyze the efficiency of a given marketing campaign in obtaining optimal ROI
- Recommend ROI optimization strategies for a given marketing campaign based on marketing campaign data and performance analysis
- Define the terms "artificial intelligence" and "machine learning" as they relate to digital marketing
- Recognize the future of video marketing and its impact on the digital marketing channel mix
- Discuss the role of mobile marketing in the future of integrated digital marketing
- Articulate how AI and machine learning could benefit an organization
- Investigate the extent to which an organization may already be using AI and machine learning and how to incorporate it further
- Compile a digital marketing plan from interpreted consumer data and research to feed back into efficient campaign optimization
Instructors
MIT Sloan School of Management, Cambridge Frequently Asked Questions (FAQ's)
The categories of digital marketing are Marketing Analytics, Email Marketing, Social Media Marketing, Search Engine Optimization, Mobile Marketing, Content Marketing, and pay-per-click.
Digital platforms, digital devices, digital media, digital technology and digital data are the 5 Ds of digital marketing.
The 3 categories of digital media are: owned media, earned media, and paid media.
Some of the examples of digital media are:
- Content Marketing
- Social Media Marketing (SMM)
- Marketing Automation
- Search Engine Marketing (SEM)
- Search Engine Optimisation (SEO)
- Email Marketing
- Digital Advertising
Physical evidence, promotion, product, place, price, process and people are the 7 Ps of marketing.