RTB House, an advertising technology platform based on unique deep learning algorithms, partners with Integral Ad Science (IAS), a global leader in digital media quality, to provide brands and agencies with transparent, fraud-free, and secure advertising with greater measurement efficiency.
The partnership allows RTB House, which provides marketing solutions for leading brands and agencies around the world, to reach advertisers’ brand risk threshold and avoid risky content by enabling IAS publisher verification technology. Additionally, it measures viewability and invalid traffic (IVT) rates, improving media quality standards and ensuring better results for revenue campaigns.
The IAS solution spans media buyers and sellers, reduces discrepancies, eliminates print waste, and creates a frictionless environment. RTB House customers will have greater transparency and impression metrics to better meet customer expectations and achieve advertising goals more effectively.
Mateusz Jędrocha, Head of Top Funnel Solutions Development at RTB House, said: “Our partnership with IAS is the latest in a series of collaborations with industry players as we strive to ensure the best performance of ad campaigns for clients who want to trust and transparency in the brand and security and highly measurable impressions. The deep learning algorithms that power the RTB House engine make ad campaigns up to 50% more effective than those using standard machine learning techniques. By partnering with leading partners for digital media quality, we can provide our customers with an extra level of convenience that ensures their marketing budgets deliver real value across the enterprise.”
Yannis Dosios, IAS Global Commercial Director, added: “Our mission at IAS is to be the global benchmark for trust and transparency in the quality of digital media. By partnering with RTB House, we can ensure the brands and agencies we work with receive greater transparency and a more comprehensive view of their media purchases to increase confidence in campaign performance.”