|By Marketwired .||
|February 25, 2013 08:00 AM EST||
NEW YORK, NY -- (Marketwire) -- 02/25/13 -- Yieldex, the leading provider of inventory and revenue management solutions for digital publishers, announced today that it is working closely with Adobe to provide online publishers with the ability to forecast, price and sell ad impressions based on precise consumer behavior. By integrating Adobe® AudienceManager and Yieldex's Audience Planner technologies, digital publishers can seamlessly build targeted audience segments and identify site content where advertisers can best reach those segments. Scripps Networks Interactive has also signed on as the first customer adopting this joint solution.
Adobe AudienceManager is a data management platform that identifies, quantifies, and activates high-value audience segments. Advertisers and publishers can leverage these segments for targeting content through an integrated, secure management system that works across distribution platforms. Yieldex's Audience Planner enables publishers to clearly understand audience segment availability, contention, and overlap.
"We are always looking for innovative ways to identify new audiences that are likely to appeal to advertisers. We're confident that this combination of leading technologies can help us identify and sell those segments at scale and increase ad revenues," said Jeffery Kissinger, vice president of digital marketing and audience development at Scripps Networks Interactive.
"Adobe's ability to build audience segments through its leading data management platform aligns perfectly with Yieldex's ability to forecast, manage and price ad inventory across all of a publisher's channels," said Andy Nibley, CEO of Yieldex. "Better forecasting and pricing of these audiences will allow Scripps Networks Interactive and other publishers to ensure these audiences don't overlap with other high-value segments and sections. Now, we can start to enable new revenue streams by activating advertiser-created data segments as well as standard first and third-party data."
"Combining Adobe AudienceManager and Yieldex's technology to deliver a joint solution provides digital publishers with a comprehensive view across its data assets and efficiently delivers targeted audience segments across platforms," said Chris Robison, senior director of media and advertising solutions, Adobe. "There's no sense in identifying where to find different audience segments on your site if you can't sell against them. We are thrilled to work with Yieldex to provide data management and inventory forecasting as a unified solution for digital publishers."
About Scripps Networks Interactive
Scripps Networks Interactive (NYSE: SNI) is a leading developer of lifestyle-oriented content for television, the Internet and emerging platforms, where on-air programming complements online video, social media areas and e-commerce components on companion Web sites and broadband vertical channels. The company's lifestyle media portfolio comprises popular lifestyle television and Internet brands HGTV, DIY Network, Food Network, Cooking Channel, Travel Channel and Great American Country. Scripps Networks Interactive is based in Knoxville, Tenn., with offices in New York, Los Angeles, Chicago, Detroit, Dallas, Atlanta, San Francisco, Cincinnati, Nashville, Tenn. and Chevy Chase, Md.
Yieldex created the first comprehensive, fully integrated revenue and inventory analytics platform for digital publishers. Publishers know they are leaving money on the table because they have to juggle multiple delivery platforms across channels and formats, while untangling complicated, overlapping inventory. Our mission is to significantly increase revenue for our publishers by de-mystifying the advertising ecosystem and leveraging our technology to provide our customers with a single, format-agnostic platform that accurately forecasts, manages and prices inventory across all revenue channels. Yieldex has offices in New York, San Francisco and Boulder. Visit www.yieldex.com.
The essence of data analysis involves setting up data pipelines that consist of several operations that are chained together – starting from data collection, data quality checks, data integration, data analysis and data visualization (including the setting up of interaction paths in that visualization). In our opinion, the challenges stem from the technology diversity at each stage of the data pipeline as well as the lack of process around the analysis.
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