We showed a multichannel network how to significantly increase ratings without spending a dollar more.

Case Study > Audience

TV Network

We showed a multichannel network how to significantly increase ratings without spending a dollar more.
Challenge
  • Research manually modeled backward-looking, historic audience information using Excel and limited data inputs.
  • Insights shared with Programming team were infrequent, and limited in accuracy and usefulness.
Outcome
  • Programmers get AI-based recommendations while building schedules.
  • Dynamic real-time modeling uses data from 50+ sources to forecast ratings for the entire marketplace: their networks and their competitors'
  • 10% ratings increase = millions in new ad revenue.