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.
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