Case Study > Audience
We showed a multichannel network how to significantly increase ratings without spending a dollar more.
- 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.
- 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.