From Reactive to Predictive - How AI Changes the Way Publishers Run Auctions
Date Published
Traditional auction optimization reacts to what happened. AI transforms this process by predicting what will happen and adjusting in real time.
Key AI Shifts
Predictive Demand Forecasting: AI anticipates demand surges by format, geo, and time.
Auto-Floor Adjustments: Price floors shift dynamically before demand changes hit.
Creative Type Matching: Ensures high-value creatives are served to relevant audiences.
Impact
Publishers using predictive AI see faster decision-making, higher CPMs, and fewer missed opportunities.
Post 6: Training Your AI Bidder — The Data Points That Make the Biggest Difference
(AI Optimization)
Intro
AI is only as smart as the data it learns from. The right inputs can dramatically improve your AI bidder’s performance.
High-Value Data Points
Bid density by geo and format.
Historical win rates segmented by buyer.
Creative engagement metrics (CTR, viewability).
Seasonal traffic patterns.
Pro Tip
Start with clean, deduplicated bid logs. Noise in the data leads to poor AI predictions and revenue loss.