Dynamic Floor Pricing Strategies That Outperform Static Floors Every Time
Date Published
For years, publishers have relied on static floor prices to prevent undervaluation. The problem? Static floors can’t keep up with fluctuating demand. What works at 9 AM might choke revenue at 3 PM. Dynamic floor pricing solves this by adjusting floors in real time based on live market signals.
Why Static Floors Leave Money Behind
When floors are too low, you risk selling impressions below their true value. When they’re too high, you risk zero bids. Static pricing forces you to choose one compromise and stick with it — even as conditions change.
Dynamic Floors in Action
With an AI-driven dynamic pricing system, your floors are recalculated per impression based on:
Bid density: How many bidders are actively competing.
Historical win rates: Which price points win most often in similar contexts.
Real-time market signals: Seasonal trends, breaking news, or geo-specific events.
Example Scenario
Your site sees a surge in traffic from a sports article during a live game. Demand spikes for that audience, and your AI-driven floor engine raises prices by 15% in seconds. Once the surge ends, floors adjust downward to maintain fill rate.
Revenue Impact
Publishers using dynamic floors often see:
+10–20% CPM lift during peak demand windows.
Reduced fill loss compared to manual adjustments.
Better alignment with buyers’ willingness to pay.
Static floors belong to the past. Dynamic, data-driven floor pricing ensures you’re always selling inventory at its optimal market value — minute by minute, impression by impression.