How Big Data Can Increase OTT Ad Revenue
This session discusses how advertisers can more effectively and efficiently reach a buyer of a product or service with OTT than any other media. Over-the-top TV apps have access to an enormous amount of information about a prospective buyer of a product or service. By using real-time analysis of social media, geo-location, keywords, and historical buying habits, the metadata managed by an OTT platform can be used to predict real-time buying. As a result, this predictive buying translates into a higher cost per point/cost per lead that an advertiser is willing to pay for qualified buyers. Hear about some of the technology being used, the advertising research it enables, and benefits and challenges of this new advertising buying process.
Moderator: Steve Wong, Director of Media and Telco - Siemens
Andy Beach, Program Manager - Microsoft
Jason Clement, President - Noble People LA
Arnav Mendiratta, Data Scientist - USC
Dr. Jay Yogeshwar, Director, Media, Broadcast and Entertainment - Hitachi Data Systems
Streaming services are collecting huge volumes of data on viewer preferences and histories, then using that data to drive new content production decisions.