Teqblaze

Win Rate Optimizer

Recover lost revenue with ML-powered auction logic that adapts in real time

Fix lost bids before they hit your bottom line

Win Rate Optimizer uses machine learning to identify where you're losing auctions—and fixes it instantly.
No floor adjustments, no manual rules, no delivery disruption.

Recover silent bid loss

Detect and fix underperformance from misfires, timeouts, or DSP filters

Boost win rate stability

Smooth out buyer response across formats, geos, and segments

Protect delivery at scale

Maintain revenue flow during high-load or volatile auction conditions

Diagnose and fix win rate issues—automatically

Bid loss isn’t always obvious—but it always costs you. Win Rate Optimizer identifies weak spots across buyer behavior, auction timing, and traffic segments. Then it applies real-time logic corrections to recover delivery and stabilize monetization, without disrupting platform performance or requiring manual input.

ML-driven auction corrections
Precision win rate tuning
Infrastructure-aware logic
Transparent, stable auctions

Turn missed bids into
revenue gains.

See how real-time ML logic improves auction outcomes.

Proud partner of

PrebidEyeotaID5IAB Tech LabHuman Security

Trusted by industry leaders

See how others have built their platforms with Teqblaze programmatic solutions.

Client:

US-Based publisher
monetization platform

Challenge:

High volume of low-value bid requests, inefficient traffic distribution, and limited visibility into which demand paths actually drive incremental revenue.

Results:
+8% bid rate
+2% sRPM
+20% DSP spend
−16% bid requests
Client:

Boldwin, leading KPI-driven SSP
for Mobile and OTT publishers.

Challenge:

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.

Results:
+15% campaign efficiency
+30% demand coverage
+25% optimization speed
+40% traffic capacity growth
Client:

US-Based publisher
monetization platform

Challenge:

High volume of low-value bid requests, inefficient traffic distribution, and limited visibility into which demand paths actually drive incremental revenue.

Results:
+20–40% DSP spend
2x improvement in sRPM
Reduced bidstream noise

Book a demoand see whatwe can dofor you