AI in Programmatic Ads & Real-Time Bidding (RTB)

Event Overview

Programmatic advertising runs on split-second decisions: which impression to buy, at what price, for which user, and with which creative. AI has become the engine behind these decisions—powering prediction, optimization, and automation across the real-time bidding (RTB) ecosystem. In this live Edu AI webinar, you’ll get a clear, practical view of how AI is used by advertisers, agencies, and ad tech platforms to improve performance while managing privacy, fraud, and brand safety constraints.

We’ll start with a concise map of the programmatic supply chain (DSPs, SSPs, exchanges, DMP/CDP signals, and verification), then connect that foundation to modern machine learning approaches used in bidding and optimization. You’ll learn why RTB is a unique environment for AI (high volume, sparse feedback, delayed conversions, shifting user behavior) and how models are designed to handle it. We will also cover how generative AI is being used to accelerate creative testing, audience insights, and campaign workflows—along with the governance considerations that come with it.

What you’ll learn

• How AI predicts conversion likelihood, value (LTV), and incremental lift for bidding decisions
• Core optimization objectives: CPA/ROAS, pacing, budget allocation, and multi-objective trade-offs
• How bidding strategies work: bid shading, auction dynamics, frequency capping, and exploration vs. exploitation
• Data signals and feature design: context, cohorts, first-party data, and privacy-safe measurement
• How AI supports fraud detection, brand safety, and invalid traffic filtering
• Where generative AI fits: creative variation, copy testing, and rapid experiment design
• How to evaluate results: attribution basics, lift testing concepts, and common pitfalls in reporting

Who should attend

• Marketing and growth professionals running paid media or overseeing agencies
• Programmatic traders and performance marketers who want stronger AI intuition
• Product managers and analysts working on ad platforms, measurement, or personalization
• Founders and e-commerce teams seeking scalable acquisition strategies
• Students and career-switchers exploring ad tech and applied machine learning

What to prepare

• Bring one campaign or use case you want to improve (awareness, acquisition, or retargeting)
• Know your primary KPI (CPA, ROAS, CAC, conversion rate) and any constraints (budget, geo, inventory)
• If possible, have a recent performance summary (even high-level) to help you follow the optimization examples
• Come ready with questions about data privacy, measurement, or platform limitations

This session is interactive, with time reserved for Q&A and practical takeaways you can apply to your next campaign or roadmap discussion. Join us on Google Meet and leave with a grounded understanding of how AI drives programmatic advertising and RTB—without the hype.