Media & listener intelligence
Czech Radio Analytics
An analytics platform for understanding listener behaviour and music trends across radio broadcasts — mapping retention timelines and aggregating genre and artist trends to inform programming.
- Engagement
- Applied AI delivery
- System type
- Media & listener intelligence
- Primary outcome
- Operational leverage
Challenge
The existing operating model made media & listener intelligence slow to inspect, difficult to scale and dependent on manual coordination.
Response
Listener timeline mapping: retention curves, tune-in/out patterns, session durations. Music trend aggregation across play frequency, genre rotation and artist trajectories
Result
Optimises content scheduling and playlist curation by grounding programming decisions in quantified listener engagement.
System architecture
From signal to controlled action.
01
Listener timeline mapping: retention curves, tune-in/out patterns, session durations
02
Music trend aggregation across play frequency, genre rotation and artist trajectories
Business value
The system changes the operating baseline.
Optimises content scheduling and playlist curation by grounding programming decisions in quantified listener engagement.
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