Course Modules

Module 1: Introduction to Advertising Analytics

• Importance of analytics in advertising
• Key metrics overview (CTR, CPA, ROAS)
• Platforms for analytics tracking
• Analytics-driven campaign lifecycle
• Case Study: Using analytics to optimize a brand awareness campaign

Module 2: Setting up Tracking Systems

• Google Analytics 4 setup for ads
• UTM parameters for campaign tracking
• Pixel implementation (Facebook Pixel, LinkedIn Insight Tag)
• Conversion tracking setup
• Case Study: Implementing Facebook Pixel for an e-commerce store

Module 3: Campaign Measurement Frameworks

• Funnel analysis (awareness to conversion)
• Attribution models (first touch, last touch, data-driven)
• Cross-device tracking
• Measuring assisted conversions
• Case Study: Attribution analysis for a multi-channel campaign

Module 4: Dashboarding & Visualization

• Building dashboards in Google Data Studio/Looker
• Custom reports in Meta Ads Manager
• Integrating multiple platforms into one dashboard
• Visual storytelling with advertising data
• Case Study: Creating an executive dashboard for a retail chain

Module 5: Audience & Segmentation Analytics

• Analyzing audience performance
• Identifying high-value segments
• Behavioral analytics and cohort analysis
• Geo and device-based insights
• Case Study: Audience analysis for a B2B SaaS campaign

Module 6: Creative Performance Analysis

• Tracking performance by ad creatives
• Identifying top-performing messages
• A/B testing and multivariate testing
• Content-driven optimization strategies
• Case Study: Creative testing for a consumer goods brand

Module 7: Budget & Bid Optimization

• Identifying wasted spend
• Adjusting bids based on performance
• Automating bid optimization
• Scaling budget for ROI growth
• Case Study: Reducing cost per conversion for a fintech app

Module 8: Platform-Specific Analytics

• Google Ads analytics and reporting
• Meta Ads insights
• LinkedIn Ads performance metrics
• Cross-platform analytics comparisons
• Case Study: Multi-platform analytics for an online event campaign

Module 9: Predictive Analytics for Advertising

• Forecasting campaign performance
• Using machine learning for optimization
• Predicting customer lifetime value (CLV)
• Early detection of underperforming campaigns
• Case Study: Predictive modeling for a subscription-based service

Module 10: Advanced Optimization Strategies

• Dynamic creative optimization (DCO)
• Automated rules and scripts
• Continuous testing frameworks
• Long-term optimization planning
• Case Study: Scaling long-term ROI with automated optimization