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.
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We used AI to help a multichannel programmer promote its shows more effectively, using 20% fewer spots.August 12, 2018
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TV Network