Publisher Monetization

Dynamic Floor Pricing — Definition & Explanation

Automatically adjusting minimum bid prices (floors) based on real-time signals such as user geography, content category, time of day, device type, and historical bid patterns. Typically increases yield by 10-20% compared to static floors.

How Dynamic Floor Pricing Works

Dynamic floor algorithms analyze hundreds of signals per impression to calculate the optimal floor price — high enough to capture fair value, low enough to maintain fill rate. Machine learning models improve floor accuracy over time.

Why Dynamic Floor Pricing Matters for Publishers

Dynamic floor pricing is one of the highest-impact yield optimization tools available to publishers. Stellor Media's proprietary floor algorithms are a core feature of our SSP, helping publishers maximize revenue without sacrificing fill rate.

Frequently Asked Questions

How much can dynamic floor pricing increase revenue?

Dynamic floors typically increase revenue by 10-20% over static floors. Combined with header bidding, publishers often see cumulative lifts of 30-50%.

What signals does Stellor use for dynamic floor pricing?

Stellor's algorithms analyze geography, device type, ad format, time of day, user session depth, content category, historical win rates, and bid density.

Can dynamic floors reduce fill rate?

Properly tuned dynamic floors maintain fill rate while increasing average CPMs. Stellor's system continuously balances floor levels to optimize total revenue rather than just CPMs.

Related Terms

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