Mastering Data-Driven Advertising: Advanced Strategies for Programmatic Media Buying and Optimization
Certificate Upon Completion Participants receive a certificate upon completion, issued by The Art of Service.
Course Overview This comprehensive course is designed to equip you with the knowledge and skills needed to master data-driven advertising, focusing on advanced strategies for programmatic media buying and optimization.
Course Features - Interactive and engaging learning experience
- Comprehensive and personalized curriculum
- Up-to-date and practical knowledge with real-world applications
- High-quality content developed by expert instructors
- Certificate upon completion
- Flexible learning with lifetime access
- User-friendly and mobile-accessible platform
- Community-driven with discussion forums and support
- Actionable insights and hands-on projects
- Bite-sized lessons for easy learning
- Gamification and progress tracking
Course Outline Module 1: Introduction to Data-Driven Advertising
- Defining data-driven advertising
- Benefits and challenges of data-driven advertising
- Overview of programmatic media buying
- Key players in the programmatic ecosystem
Module 2: Data Management and Analysis
- Data types and sources
- Data management platforms (DMPs) and their role
- Data analysis and visualization tools
- Understanding data quality and integrity
Module 3: Programmatic Media Buying
- Real-time bidding (RTB) and private marketplaces (PMPs)
- Programmatic guaranteed (PG) and preferred deals
- Ad exchanges and supply-side platforms (SSPs)
- Demand-side platforms (DSPs) and their features
Module 4: Targeting and Retargeting Strategies
- Types of targeting: demographic, behavioral, contextual
- Retargeting and lookalike targeting
- Advanced targeting strategies: hyperlocal, device-based
- Measuring targeting effectiveness
Module 5: Ad Creative and Formats
- Ad creative best practices
- Ad formats: display, video, native, mobile
- Rich media and interactive ad formats
- Dynamic creative optimization (DCO)
Module 6: Campaign Measurement and Optimization
- Key performance indicators (KPIs) and metrics
- Attribution modeling and multi-touch attribution
- Campaign optimization strategies: manual, automated
- A/B testing and experimentation
Module 7: Advanced Programmatic Strategies
- Programmatic TV and video
- Podcast and audio advertising
- Influencer marketing and programmatic influencer
- Advanced programmatic tactics: header bidding, server-side bidding
Module 8: Data-Driven Storytelling and Visualization
- Data-driven storytelling principles
- Data visualization best practices
- Creating effective dashboards and reports
- Presenting data insights to stakeholders
Module 9: Programmatic Media Buying for Advanced Channels
- Programmatic out-of-home (OOH) advertising
- Programmatic digital out-of-home (DOOH)
- Advanced TV and connected TV (CTV) advertising
- Virtual reality (VR) and augmented reality (AR) advertising
Module 10: Future of Programmatic Media Buying
- Trends and predictions for programmatic advertising
- Impact of emerging technologies: AI, blockchain, 5G
- Future of data-driven advertising and programmatic media buying
- Preparing for the future: skills and strategies
Conclusion By completing this comprehensive course, you will gain the knowledge and skills needed to master data-driven advertising and programmatic media buying, and receive a certificate upon completion.
Course Features - Interactive and engaging learning experience
- Comprehensive and personalized curriculum
- Up-to-date and practical knowledge with real-world applications
- High-quality content developed by expert instructors
- Certificate upon completion
- Flexible learning with lifetime access
- User-friendly and mobile-accessible platform
- Community-driven with discussion forums and support
- Actionable insights and hands-on projects
- Bite-sized lessons for easy learning
- Gamification and progress tracking
Course Outline Module 1: Introduction to Data-Driven Advertising
- Defining data-driven advertising
- Benefits and challenges of data-driven advertising
- Overview of programmatic media buying
- Key players in the programmatic ecosystem
Module 2: Data Management and Analysis
- Data types and sources
- Data management platforms (DMPs) and their role
- Data analysis and visualization tools
- Understanding data quality and integrity
Module 3: Programmatic Media Buying
- Real-time bidding (RTB) and private marketplaces (PMPs)
- Programmatic guaranteed (PG) and preferred deals
- Ad exchanges and supply-side platforms (SSPs)
- Demand-side platforms (DSPs) and their features
Module 4: Targeting and Retargeting Strategies
- Types of targeting: demographic, behavioral, contextual
- Retargeting and lookalike targeting
- Advanced targeting strategies: hyperlocal, device-based
- Measuring targeting effectiveness
Module 5: Ad Creative and Formats
- Ad creative best practices
- Ad formats: display, video, native, mobile
- Rich media and interactive ad formats
- Dynamic creative optimization (DCO)
Module 6: Campaign Measurement and Optimization
- Key performance indicators (KPIs) and metrics
- Attribution modeling and multi-touch attribution
- Campaign optimization strategies: manual, automated
- A/B testing and experimentation
Module 7: Advanced Programmatic Strategies
- Programmatic TV and video
- Podcast and audio advertising
- Influencer marketing and programmatic influencer
- Advanced programmatic tactics: header bidding, server-side bidding
Module 8: Data-Driven Storytelling and Visualization
- Data-driven storytelling principles
- Data visualization best practices
- Creating effective dashboards and reports
- Presenting data insights to stakeholders
Module 9: Programmatic Media Buying for Advanced Channels
- Programmatic out-of-home (OOH) advertising
- Programmatic digital out-of-home (DOOH)
- Advanced TV and connected TV (CTV) advertising
- Virtual reality (VR) and augmented reality (AR) advertising
Module 10: Future of Programmatic Media Buying
- Trends and predictions for programmatic advertising
- Impact of emerging technologies: AI, blockchain, 5G
- Future of data-driven advertising and programmatic media buying
- Preparing for the future: skills and strategies
Conclusion By completing this comprehensive course, you will gain the knowledge and skills needed to master data-driven advertising and programmatic media buying, and receive a certificate upon completion.
Module 1: Introduction to Data-Driven Advertising
- Defining data-driven advertising
- Benefits and challenges of data-driven advertising
- Overview of programmatic media buying
- Key players in the programmatic ecosystem
Module 2: Data Management and Analysis
- Data types and sources
- Data management platforms (DMPs) and their role
- Data analysis and visualization tools
- Understanding data quality and integrity
Module 3: Programmatic Media Buying
- Real-time bidding (RTB) and private marketplaces (PMPs)
- Programmatic guaranteed (PG) and preferred deals
- Ad exchanges and supply-side platforms (SSPs)
- Demand-side platforms (DSPs) and their features
Module 4: Targeting and Retargeting Strategies
- Types of targeting: demographic, behavioral, contextual
- Retargeting and lookalike targeting
- Advanced targeting strategies: hyperlocal, device-based
- Measuring targeting effectiveness
Module 5: Ad Creative and Formats
- Ad creative best practices
- Ad formats: display, video, native, mobile
- Rich media and interactive ad formats
- Dynamic creative optimization (DCO)
Module 6: Campaign Measurement and Optimization
- Key performance indicators (KPIs) and metrics
- Attribution modeling and multi-touch attribution
- Campaign optimization strategies: manual, automated
- A/B testing and experimentation
Module 7: Advanced Programmatic Strategies
- Programmatic TV and video
- Podcast and audio advertising
- Influencer marketing and programmatic influencer
- Advanced programmatic tactics: header bidding, server-side bidding
Module 8: Data-Driven Storytelling and Visualization
- Data-driven storytelling principles
- Data visualization best practices
- Creating effective dashboards and reports
- Presenting data insights to stakeholders
Module 9: Programmatic Media Buying for Advanced Channels
- Programmatic out-of-home (OOH) advertising
- Programmatic digital out-of-home (DOOH)
- Advanced TV and connected TV (CTV) advertising
- Virtual reality (VR) and augmented reality (AR) advertising
Module 10: Future of Programmatic Media Buying
- Trends and predictions for programmatic advertising
- Impact of emerging technologies: AI, blockchain, 5G
- Future of data-driven advertising and programmatic media buying
- Preparing for the future: skills and strategies