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.
Dynamic per-auction control
Margins are adjusted in real time based on bid pressure and win-rate signals. Each decision reflects current auction dynamics to maintain optimal performance.
Demand-aware response engine
If markup suppresses demand, the system reacts instantly to recover fill and protect scale.
Inline auction execution
No delays, no batching — margin decisions happen inside the request stream for every impression.
Traffic-segmented margin rules
Apply different strategies across inventory types, geos, formats, and partner tiers — or let the model do it for you.
Self-optimizing logic
The system continuously learns and evolves with how traffic performs, adapting margins as conditions shift.
Cross-format compatibility
Works across all formats — display, video, in-app, native, CTV — with no additional config.
Stable pricing signals
Avoid bid suppression caused by erratic markups. Let DSPs scale comfortably on consistent logic.
Better alignment with DSP bid pricing
Margin thresholds adapt to how buyers actually buy — improving match rate and campaign stability.
Full visibility, zero micromanagement
Every adjustment is logged, tracked, and auditable — no black boxes, no manual overhead.
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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.
