Predictive Bidding
Predictive Bidding uses machine learning models to forecast the likelihood that a specific impression will lead to a conversion. By analyzing historical data, user signals, time of day, and device context, the system determines how much an advertiser should bid in real time.
For example, a DSP may recognize that users browsing fashion sites at night on mobile devices are 30% more likely to convert. The algorithm automatically increases bids for these impressions while reducing spend on less valuable ones.
This AI-driven approach eliminates guesswork, improves efficiency, and ensures that every euro invested contributes to measurable performance gains. Predictive bidding is one of the key applications of AI in programmatic advertising today.
Similar content from our blog
SUMMARY OF TES 2025: ONE STEP CLOSER TO YOUR HEART
Back in September, we attended one of the biggest events of the...
BALANCING USER EXPERIENCE AND AD REVENUES
To be a webmaster comes with a huge responsibility. After all, there...
PRE-ROLLS IN THE LIMELIGHT: FROM SKIP TO CLICK
Pre-Rolls have become more popular than ever this year; this ad format...
HOW AI CHANGES THE ADULT INDUSTRY
Artificial Intelligence is nothing short of hype now, whether it’s finances or...
HOW TO APPROACH CAM OFFERS AS A MEDIA BUYER
The adult vertical is bountiful. However, the cams stand out from having...
HEAVY ADS ARE BAD: HOW TO DEAL WITH THEM
Most of the excesses are undesirable, and heavy ads are no exception....