We used AI to help a multichannel programmer promote its shows more effectively, using 20% fewer spots.

Case Study > Audience

TV Network

We used AI to help a multichannel programmer promote its shows more effectively, using 20% fewer spots.
Challenge
  • In-house Data Science team relied on Excel, their legacy promo scheduling system, and basic Nielsen datasets.
  • Promos limited to same network.
Outcome
  • Machine-learning promo campaign management tool studied the results of every spot placement to re-calculate campaigns, placing every promo in the most effective spot.
  • Advanced behavioral modeling using Nielsen AMRL data let tool examine every opportunity on every network and platform.
  • Hit TV Execs’ promo campaign goals using 22% less on-air inventory = millions in new revenue.