behavioral advertising has a significant impact on digital advertising ad rates, performance, ROI. This study provides detailed data on costs, revenue and conversion rates across a variety of advertising segments.
White Papers
At Turn, we see the possibilities of an advertising world where art and science work together to provide more valuable insights and more confident decisions. We use our expertise and market intelligence to explore innovations, trends and technologies that can help our clients make an impact – and raise the profile of our industry as a whole.
Posted on Jun 22nd, 2010
There's many changes emerging in the digital sphere, impacting a wide range of companies on both the sell-side and buy-side. This whitepaper breaks down the technologies revolutionizing the way digital display works for both sides of the industry -- publishers and advertisers.
Posted on Jun 22nd, 2010
Purchasing audiences as compared to content continues to become a viable media buying method for marketers. A study from Collective takes a dive into today's digital display eco-system and discusses in detail the issues and benefits involved with audience selling and buying.
Posted on Jun 21st, 2010
The Wall Street meltdown has been used to describe the real-time bidding (RTB) marketplace, but it doesn’t quite add up. RTB is anything but a zero-sum game.
Posted on Jun 21st, 2010
Philip Smolin talks with the IAB's Marla Aaron during an interview at the 2010 IAB Networks & Exchanges Marketplace.
Posted on Apr 16th, 2010
With this blog post, I’d like to begin a series of posts on the technology and data-science that power modern display advertising (especially at Turn, where we’ve always been at the cutting-edge of innovation in this area). We will explore why the advances we’re making in the new field of computational advertising matter and how they matter. We will also try to de-mystify some of the concepts and the technologies that go into building a scalable, high performance demand side platform (DSP) for advertising.
Posted on Nov 11th, 2009
In the predictive learning process, the goal is to spend the least amount of resource to quickly learn which combinations of media, user behavior patterns, and ads are the most effective combinations. Because the possible combinations are astronomical, the machine learning process sifts through large amounts of historical data to help to predict where to concentrate the experimentation.
Posted on Oct 28th, 2009
Our industry is changing very rapidly. For those of us that have been involved with online advertising for a decade, the recent pace of advancement has been truly remarkable. And one of the changes that’s having a huge impact across the entire industry is occurring within traditional exchanges and publisher aggregators.