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

SKILLS THAT MAKE A MEDIA BUYER GOOD

Affiliate marketing isn’t easy money — but it could be big money...

Read More

TWINRED 2.0: HIGH-TECH NETWORK FOR YOU

Our updated ad network and ad exchange is here: advantages of TwinRed...

Read More

SUMMARY OF TES 2025: ONE STEP CLOSER TO YOUR HEART

Back in September, we attended one of the biggest events of the...

Read More

BALANCING USER EXPERIENCE AND AD REVENUES

To be a webmaster comes with a huge responsibility. After all, there...

Read More

PRE-ROLLS IN THE LIMELIGHT: FROM SKIP TO CLICK

Pre-Rolls have become more popular than ever this year; this ad format...

Read More

HOW AI CHANGES THE ADULT INDUSTRY

Artificial Intelligence is nothing short of hype now, whether it’s finances or...

Read More

This website uses cookies to improve usability. Here you can find our Privacy Policy. By clicking on the ACCEPT button, you agree.