Control margin logic with machine learning
in real time — without guesswork
Adaptive Margin is a machine learning–driven system that continuously evaluates auction-level performance data to adjust revenue margins in real
time. It replaces static markup rules with dynamic, data-informed logic that evolves with market conditions.
Real-time calibration
Dynamically sets margins based on performance historical data
Automate revenue growth
Adapts to segment, geo, format, and buyer behavior in real-time
Attract premium supply and demand partners
Reacts to win/loss data and bid density
Maximize your profit on
every impression — automatically
Stop relying on fixed rules or delayed reactions. Adaptive Margin enables your SSP to respond instantly to market shifts — protecting fill, maximizing yield, and eliminating manual effort from monetization.
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Trusted by industry leaders
See how others have built their platforms with Teqblaze programmatic solutions.
US-Based publisher
monetization platform
High volume of low-value bid requests, inefficient traffic distribution, and limited visibility into which demand paths actually drive incremental revenue.
Boldwin, leading KPI-driven SSP
for Mobile and OTT publishers.
Need to build a flexible SSP platform to scale publisher monetization, integrate with multiple global demand partners, and gain full control over optimization, reporting, and auction logic.
US-Based publisher
monetization platform
High volume of low-value bid requests, inefficient traffic distribution, and limited visibility into which demand paths actually drive incremental revenue.
