Business & Management
Beginner

Digital Marketing & Marketing Analytics

Master quantitative marketing models, attribution mathematics, and multi-channel campaign analytics.

This course bridges empirical consumer research with contemporary performance marketing infrastructure. Learners analyze econometric marketing mix models, calculate customer lifetime value across cohorts, and execute tracking pipelines using modern web and advertising platforms. Through rigorous statistical evaluation and operational tooling, students develop end-to-end data fluency for marketing decisions.

Dr. Marcus Vance, Associate Professor of Quantitative Marketing and Former Head of Growth Analytics at MetricLoop 90h + 45h 2 certificates available
Digital MarketingMarketing AnalyticsCustomer Lifetime ValueAttribution ModelingConversion Rate Optimization

Curriculum

Two complete tracks. Study either or both — each has its own exam and certificate.

An academic grounding in marketing econometrics, consumer utility models, stochastic purchase processes, and causal inference for empirical campaign measurement.

Theoretical frameworks for modeling consumer adoption timing, purchase frequency, and cohort retention dynamics.

  • The Bass Diffusion Equation and Market Penetration Lab40 min
  • Negative Binomial Distribution for Transaction Frequencies Lab45 min
  • Retention Elasticity and Geometric CLV Models Lab35 min

Careers this prepares you for

  • Digital Marketing Analyst
  • Growth Marketing Manager
  • Performance Media Specialist
  • Marketing Data Scientist
  • Conversion Rate Optimization Specialist

Your tutor

DM
Dr. Marcus Vance
Associate Professor of Quantitative Marketing and Former Head of Growth Analytics at MetricLoop