Winning an impression is no longer about bidding the highest—it is about bidding accurately. Predictive bidding uses AI to determine the value of each ad opportunity, ensuring efficiency and ROI.
What Is Predictive Bidding?
Predictive bidding uses machine-learning models to estimate:
- Conversion probability
- Expected revenue
- User intent score
- Product match quality
The system then places bids according to the expected value of each impression.
How Predictive Bidding Improves Performance
1. Lower Cost Waste
Bids are placed only when conversion probability justifies it.
2. Higher ROAS
Every bid is tied to predicted revenue outcomes.
3. Smarter Inventory Selection
The model automatically avoids low-quality traffic.
4. Faster Optimization
Machine learning adapts continuously based on real-time user behavior.
RtiBid’s Predictive Bidding Engine
RTIBid integrates:
- User intent modeling
- Product scoring
- Media quality evaluation
- Incremental revenue prediction
This approach focuses on maximizing revenue, not impressions.
Conclusion
Predictive bidding is becoming essential for ecommerce advertising. RTIBid’s approach helps brands reduce waste and increase profitability.
