What will you learn in Marketing Analytics Mastery: From Strategy to Application Course
-
Master marketing measurement frameworks and attribution modeling
-
Analyze campaign ROI using marketing analytics techniques
-
Use Excel, statistics, and data-driven strategies to improve performance
-
Understand key metrics like CAC, LTV, CTR, CPC, and conversion rates
-
Learn to apply regression, clustering, and marketing mix models
Program Overview
Module 1: Introduction to Marketing Analytics
1 week
-
Topics: What is marketing analytics, key terms, types of data
-
Hands-on: Set up Excel sheets to track campaign performance
Module 2: Descriptive Analytics & KPIs
1 week
-
Topics: Customer Lifetime Value (LTV), Customer Acquisition Cost (CAC), ROI
-
Hands-on: Calculate LTV and CAC using marketing datasets
Module 3: Predictive Analytics Techniques
1 week
-
Topics: Regression analysis, forecasting, churn modeling
-
Hands-on: Run linear regression to predict campaign success
Module 4: Customer Segmentation & Clustering
1 week
-
Topics: RFM analysis, K-means clustering, behavioral segmentation
-
Hands-on: Segment customers using Excel or Python-based clustering
Module 5: Marketing Attribution & Mix Modeling
1 week
-
Topics: First-touch, last-touch, linear attribution, marketing mix
-
Hands-on: Create an attribution model to evaluate multi-channel ROI
Module 6: Dashboarding & Data Storytelling
1 week
-
Topics: Creating dashboards, visualizing key metrics, storytelling
-
Hands-on: Build a marketing dashboard using Excel or Google Sheets
Get certificate
Job Outlook
-
Strong demand for marketers who can analyze and optimize data-driven campaigns
-
Roles include Marketing Analyst, Growth Marketer, and Performance Marketer
-
Freelance and agency professionals can charge premium rates for analytics services
-
Salary range: $60,000–$110,000+ depending on tools and industry
Last verified: March 12, 2026