Ready to take your marketing skills to next level?

Marketing Analytics Foundation Certification (MAFC)

Enroll in upcoming cohort

Upcoming Cohort

January ’24: SOLD OUT
December ’23: SOLD OUT
November ’23: SOLD OUT

Course Overview:

Embark on a comprehensive journey into the realm of marketing analytics. This online course is meticulously designed to equip learners with the expertise to harness the power of marketing data. Dive deep into an array of tools and techniques that empower you to assess the efficacy of marketing initiatives, discern prevailing trends, and foresee prospective results.

Core Modules:

  1. Introduction to Marketing Analytics
  2. Mastery in Data Collection and Preparation
  3. Delving into Descriptive and Predictive Analytics
  4. Strategies for Marketing Growth Through Analytics
  5. Measuring Campaign Performance Using Marketing Analytics
  6. Insightful Marketing Analytics Case Studies
  7. Bonus Module: Generative AI – The Future of Marketing Analytics

Certification Price:

INR 5,490/- (inc. taxes)

Mode:

Online Live Sessions

Why is this Course Imperative for Business Analytics?

Marketing analytics stands as a pivotal segment within business analytics, acting as a bridge to:

  1. Deepen customer understanding.
  2. Amplify the efficacy of marketing initiatives.
  3. Accurately gauge the return on marketing investments.
  4. Strategically allocate marketing resources for optimum results.

In today’s dynamic business landscape, expertise in marketing analytics is sought after across diverse sectors, encompassing technology, retail, healthcare, and finance. Embarking on this course not only broadens your skill set but also paves the way for a thriving career in a domain of growing significance.

Learning Outcomes :

Upon successful completion of this course, participants will have gained the ability to:

  1. Grasp the foundational principles underlying marketing analytics.
  2. Efficiently gather and organize data tailored for marketing analytics.
  3. Harness the power of descriptive, predictive, and experimental analytics in dissecting marketing data.
  4. Implement marketing analytics for enhancing areas like the marketing mix, customer insights, web metrics, and social media analytics.
  5. Articulate and present analytics findings effectively to relevant stakeholders.
  6. Astutely select the appropriate marketing analytics tools tailored to specific requirements.

Ready to take your marketing skills to next level?​

Enroll in upcoming cohort

Detailed Curriculum

Project: Choose a marketing campaign that you are interested in and analyze its performance using marketing analytics. Identify the campaign goals, KPIs, and target audience. Analyze the campaign results to identify areas for improvement.
Project: Collect data from a marketing data source, such as Google Analytics, a CRM system, or a customer survey. Clean and prepare the data for analysis.
Introduction to stats for business and different statistical models.
Project: Apply statistical methods to analyze a marketing dataset. For example, you could use descriptive statistics to summarize the data, inferential statistics to test hypotheses about the data, or regression analysis to predict a dependent variable from one or more independent variables.

Introduction to current tools in the industry and which ones are used for what tasks.

Project: Use a marketing analytics tool, such as Google Analytics, Tableau, or SQL, to analyze a marketing dataset. Create data visualizations to communicate your findings.
Project: Develop a dashboard to track the performance of a marketing campaign. The dashboard should include charts and graphs that track the relevant KPIs for the campaign.
Project: Develop a customer segmentation strategy for a business. Identify the different customer segments and their needs. Develop targeted marketing campaigns for each customer segment.
Introduction to Generative AI and various tools and their use-cases in Marketing Analytics

Learning Approach

    • Theoretical Knowledge: Overview of the concepts and theories covered.
    • Practical Application: Hands-on exercises, case studies, and real-world problem solving.

Personalized Learning Experience

    • Individual Learning Paths: How this course caters to individual learning needs.
    • Interactive Modules: Highlights of the engaging and interactive aspects of the course.