
Restoring auction quality using ML-based Traffic Shaping
After activating ML-based Traffic Shaping, ProgrammaticX observed measurable changes in auction dynamics under live programmatic trading conditions, including shifts in monetization efficiency, demand participation, and infrastructure utilization.
sRPM increased by over 82%, reflecting a major uplift in revenue efficiency as higher-performing inventory was amplified, and demand partners focused their spend on more valuable impressions.
Bid request volume to demand partners decreased by a third, significantly reducing infrastructure load and operating costs, while improving overall resource efficiency across the platform.
Bid responses increased by over 13%, showing that demand partners became more willing to compete with the rise in inventory quality and performance.
DSP spend increased by over 20%, indicating even greater buyer confidence.
Total impressions increased by more than 5%, indicating that fewer, higher-quality requests led to more successful auctions and stronger buyer engagement.
Beyond the platform-level gains, the most meaningful outcome of deploying TeqBlaze's technology is the direct improvement in publisher performance and the long-term partnerships ProgrammaticX continues to strengthen as a result.