RTB House, the ad tech platform powered by unique deep learning algorithms, has partnered with Integral Ad Science (IAS), a global leader in digital media quality, to provide brands and agencies with transparent, fraud-free, brand safe advertising with increased measurement efficiencies.

The partnership will allow RTB House, which provides marketing solutions for top brands and agencies worldwide, to match advertisers’ brand risk threshold and avoid risky content by activating IAS’s publisher verification technology. It will also measure viewability and invalid traffic (IVT) rates, thus improving media quality standards and ensuring greater campaign end results.

IAS’s solution spans media buyers and sellers, reducing discrepancies, eliminating impression waste, and creating a frictionless environment. RTB House clients will have greater transparency and measurement of impressions to better align with client expectations, and more effectively achieve advertising goals. 

Mateusz Jędrocha, head of upper-funnel solutions development at RTB House, said, “Our partnership with IAS is the latest in a series of collaborations with industry players, as we seek to ensure optimum ad campaign performance for clients that guarantees brand-safe, transparent, and highly measurable impressions. The deep learning algorithms that power the RTB House engine make ad campaigns up to 50% more efficient than those using standard machine learning techniques. By working with major digital media quality partners, we can offer our customers an extra layer of comfort that ensures their marketing budgets are driving real value for the entire business.”   

Yannis Dosios, global chief commercial officer at IAS, adds, “Our mission at IAS is to be the global benchmark for trust and transparency in digital media quality. By partnering with RTB House we can help ensure the brands and agencies it works with gain greater transparency and a more complete view of their media buys to boost confidence around campaign performance.”