Learn how Voizzup’s methodology for unlocking the power of data can help your radio station team become more agile, efficient, and aligned through scientific experimentation and iteration cycles. Contact us to find out more.
1. Know when your listeners are paying attention.
2. Seek Time ENJOYED Listening, instead of TSL.
3. Visualise your power and assume your responsibility on-air.
4. Put listener engagement measurement in the hands of the on-air team.
5. “Listempathise”
Just being able to see first hand, daily, the impact everything you say or do on-air has on your audience will make you more aware, more responsible, more confident, more creative.
Constant listener feedback is not enough alone for bringing continuous content improvement to radio. It requires a framework based on short learning cycles.
The morning show “De Grote Peter van de Veire Ochtendshow” on MNM, the VRT station targeting young audience, will be conducting a pilot with Voizzup during the coming months for evaluating their contents daily, starting today.
On-air, programming, editorial, sound production, audience research teams need to embrace creation in short cycles and listener feedback at all stages in order to allow continuous improvement. Even if that requires that they come up with their own framework and terminology.
Big data speeds up learning cycles and facilitates a more agile radio programming. As long as we are prepared to overcome fear to fail.
Lean radio programming: take your format clocks to air, measure their performance and learn by evaluating their impact on audience’s engagement.
Big-data guru, Bernard Marr, believes that big data and its implications will affect every single business and change how we do business, inside and out. Let’s do the exercise of applying Marr’s observations to radio.
Data-analysis in radio enables a new way of programming based on experimentation. Voizzup applies it to continuously checking the health of the format clocks of your radio station.