In the radio industry, uncertainty and disorientation between audience ratings waves or periodic research studies are all too common. But with Voizzup, you can finally shed some light on the performance of your on-air content, second by second.
Is your radio organisation planning to apply data-science to on-air content evaluation? You have a bumpy road ahead. Let us save you time and struggle by sharing with you the most common problems and how to prevent them.
Whether your organisation is a tightly budgeted small radio company or a large multi-million dollar actor in the broadcast industry, the main reason that keeps you away from a successful data strategy might be the same one. It’s not about affordability, but readiness.
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.
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.
Big data used in music research for radio: audience’s spontaneous reactions during natural listening are captured through the mobile app of the radio station in the smartphone of thousands of listeners and turned into meaningful information for the station’s team.