IAS announces reporting enhancements to provide a unified view of global campaigns

New feature allows custom filters based on users’ unique campaign naming convention.



Integral Ad Science, the ad verification and optimization platform, has unveiled a series of new features to provide advertisers with increased visibility into campaign performance.


A unified view. New Unified View reporting will allow clients to analyze data using custom filters built on their own campaign naming conventions, as well as by region, line of business and campaign type.




Report Builder. Additionally, IAS augmented its Report Builder to now include insights into how long ads are in view, as well new open web video metrics. Clients will also be able to pull reports on video attention metrics such as average time-in-view, time-in-view distribution, pause and unpause, volume control and more. 

Why we care. The proliferation of technologies and media channels requires new ways to verify campaigns and analyze their performance. It isn’t enough to know content ran somewhere. Marketers need to be able to assess impact in ways that are customizable for their needs.


Read next: Validity for Good uses email verification methods to deliver critical messages


The post IAS announces reporting enhancements to provide a unified view of global campaigns appeared first on MarTech.

MarTech

About The Author










Constantine von Hoffman is managing editor of MarTech. A veteran journalist, Con has covered business, finance, marketing and tech for CBSNews.com, Brandweek, CMO, and Inc. He has been city editor of the Boston Herald, news producer at NPR, and has written for Harvard Business Review, Boston Magazine, Sierra, and many other publications. He has also been a professional stand-up comedian, given talks at anime and gaming conventions on everything from My Neighbor Totoro to the history of dice and boardgames, and is author of the magical realist novel John Henry the Revelator. He lives in Boston with his wife, Jennifer, and either too many or too few dogs.

(21)