Integral Ad Science (IAS), a global media measurement and optimization platform, announced the launch of its AI-driven Total Media Performance (TMP) solution. We help advertisers improve campaign performance by integrating media quality signals from IAS with ongoing optimization. TMP helps advertisers optimize ad performance and ensure transparency across the programmatic supply chain by using AI models to adjust media quality, cost, and outcomes.
“The launch of TMP marks a major evolution for IAS to go beyond media efficiency and brand protection to provide integrated marketing performance solutions,” said Lisa Utschneider, CEO of IAS. I am. “We are uniquely positioned to help advertisers leverage data to transform media quality insights into actionable revenue-driving strategies and achieve superior results across an increasingly fragmented digital media ecosystem. It is located in
Total Media Performance enables advertisers around the world to:
IAS Pre-Bid Protection increases ROI by focusing on high-quality media and protecting brand assets. Advertisers can adjust quality protection across the DSP to increase efficiency.
TMP improves ROI by combining media quality and cost insights with IAS quality path optimization. It provides supply chain transparency and allows advertisers to identify efficient media for better results.
Dynamic Performance Profiles helps advertisers optimize reach and performance by automatically adjusting campaigns mid-stream using privacy-friendly contextual targeting.
Srishti Gupta, CPO, IAS, said: “With TMP, IAS can now provide advertisers with advanced tools to maximize their media investments and drive both efficiency and superior results.” We are committed to helping advertisers reduce media waste, drive superior performance, and protect brand equity in an evolving media landscape. ”
IAS’ TMP shows the financial impact of media quality by reallocating spend to higher quality channels, increasing cost per conversion by 25% and cost per quality impression for global technology brands. 33% reduction.
