NUVIAD Announces SmaRTB™ Streams for Mobile Media Demand Partners

Dec 02, 2015, 11:59 ET from NUVIAD

TEL AVIV, Israel, December 2, 2015 /PRNewswire/ --

Using NUVIAD's SmaRTB, demand partners, such as Mobile DSPs, Mobile Exchanges and media buyers can purchase highly accurate media from all the major Mobile Exchanges and SSPs.

NUVIAD announced today the availability of SmaRTB™ streams for mobile demand partners. SmaRTB allows mobile DSPs, Exchanges and media buyers to accurately define the exact traffic they need using dozens of user, app or geographical attributes. NUVIAD's SmaRTB™ platform provides the media from a variety of SSPs and Exchanges.

"Real Time Bidding advertising is all about analyzing huge amounts of potential traffic and buying only the media that works for the advertiser. However, SSPs and exchanges do not provide the ability to filter the RTB requests, analyze their performance and focus on what the advertiser really needs. As a result, successful demand partners who want to access all the available inventory need to invest hundreds of thousands of dollars in massive infrastructure to process this potential traffic. NUVIAD's SmaRTB™ does all of this for you at a fraction of the cost, allowing you to get exactly the supply you need, dramatically reducing your infrastructure costs and focus on your business rather than on managing huge IT infrastructure," said Rafi Ton, CEO of NUVIAD.

"You can think about it as a smart filter which removes the media you don't want and adds an augmented layer that enhances the Real-Time-Bidding stream. We are analyzing the traffic from all the SSPs and Exchanges, optimizing the traffic for your campaigns and providing an RTB stream that fits your campaign needs. You can define the media, or let our machine learning algorithms analyze the media for you, using dozens of user, app or geographical attributes," added Rafi.

NUVIAD Technologies is one of the leading providers of Real Time Bidding technologies for Exchanges, DSPs and Media Buyers providing a wide verity of mobile advertising products including in-App, Native, Video and others. Utilizing advanced machine learning algorithms to deliver highly targeted mobile advertising campaigns while continuously improving their results.

Contact: Nimrod Schwartz