Data-science in Radio, “it’s just a tool, isn’t it?”
Data science in radio is just a tool. It doesn’t replace us in decision making, but amplifies our understanding of listening behaviours.
Data science in radio is just a tool. It doesn’t replace us in decision making, but amplifies our understanding of listening behaviours.
Notifications are tools. Like every tool, they can be brilliantly used, or hugely misused.
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.
Unlike the old model of consultancy in Radio, that is perceived as constraining by on-air teams, our final goal is to share a sustainable, continuous and creativity-boosting methodology for improvement.
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.
Are technology and innovation the same? What is innovation? Why do we need it? How do we introduce it in our organisations? Does a culture of innovation exist in the Radio industry?
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.
Recently, I had the opportunity to share a stage and an audience (European public broadcasters members of the Sandbox Hub) with Sven Lardon, Strategic Advisor at VRT (Flemish public broadcaster) Radio in Belgium. Several times, I’ve heard Sven talk about how radio makers usually don’t engage enough (some even show indifference) with traditional methodologies of quantitative* audience …
On-air teams must own listener engagement measurement in radio. Read More »
Learn daily, act timely When continuous audience insights are introduced in radio, professionals commonly overreact to what Fred Jacobs calls “EKG-like lines that dip for commercials, new music, and DJ talk”. As I acknowledged in my previous article, rushed decisions are a human temptation both on PPM (or similar) and data-analysis based techniques. It would not be …