While discussing the Bridge Ratings' streaming data for his station the other day, the station's program director and I raised the question of what traditional radio's purpose was in 2016.
With so many options available to consumers, studies have consistently shown in recent years that traditional radio's role is to play the hits, the songs listeners want to hear again and again.
Yet, radio's role has always been to play 'the hits'. It's just that today we are fortunate enough to have the tech that actually shows what the hits are.
We see it time and again in our radio usage field studies: today consumers choose radio for the most popular music and choose streaming platforms like Spotify, Apple Music, even Pandora when they desire to control what they listen to and when. Radio has proven to be the curator-of-choice. It is clear that traditional radio and music streaming together have been expanding the consumption of music in the last two years.
Then why are so many radio stations not reflecting as close as they can to 100% of their listeners' favorite music?
The information is readily available through on-demand streaming research which Bridge Ratings provides to stations around the country on a weekly basis.
As I've written in this space previously, on-demand streaming is a much better indicator of true music appeal and consumption that any other music research radio relies on.
The least effective method of managing music rotations is a poison pill by programming by consensus, i.e. watching the published airplay charts available and programming based on how songs rise and fall on those charts.
Read my blog "Stop Programming By Consensus" for more detail.
This method causes slow station death as listeners tune out more than they tune in because they are seeking the quick satisfaction of hearing their favorites.
Those industry publications are printing charts based on hundreds of similarly formatted radio stations the results of which is a chart of averages of airplay by programmers who are each watching each other's playlists.
Add the music industry's release strategies and we end up with a chart that really is the furthest thing from reliable data on radio listeners' favorite music.
Case in point.
We recently did an analysis of four key radio music formats: CHR, Urban, Country and Alternative to see the correlation between published airplay charts and true music consumption reflected in on-demand music streaming charts.
High correlation means that the two charts - published airplay vs. on-demand streaming of identical lists of songs - are fairly well aligned or similar.
These results may surprise you.
Keep in mind the definition of the word "correlation". Correlation measures the strength of association between two sets of variables. In this case, we are checking the correlation between published airplay chart rankers and on-demand streaming rankers.
Here are the correlations:
- CHR/Top 40 - 65%
- Country - 60%
- Urban - 44%
- Alternative - 35%
The CHR/Top 40 correlation is surprisingly high. The airplay and streaming charts are fairly highly correlated at 65%. This may be attributed to the fact that Top 40 hits are more universally consumed or that Top 40 programmers are more unified in their song choices and rotations.
The same can be said for Country with a 60% correlation. 60% of the top 100 songs on published industry music charts hold rank positions with a margin of error +/- 10%. The remaining 40% hold weekly ranks that do not represent the true consumption by fans of the format as determined by the on-demand streaming research Bridge Ratings analyzes each week.
But it gets more interesting.
Of the radio music formats dissected for this report, Urban is next with 44% correlation to the published charts top 100 songs by rank.
There are many examples of songs that rank considerably higher on station streaming charts compared to the published charts available.
And we often find songs on published charts with lower rankings for longer periods of time when compared to on-demand streaming data especially when examined by station and market.
The Alternative charts we've studied only correlate with 35% of the songs ranked by airplay. The format certainly offers a unique mix of hit singles and hit album cuts and that variety may be feeding the significant variance between actual airplay and actual consumption determined through on-demand streaming analysis for both Alternative and Urban radio.
For Alternative radio, Twenty-One Pilots is creating all sorts of challenges for radio programmers these days. With the huge success of their current album, we're seeing a number of 21 Pilots' songs rising into the top 75 most-consumed songs by that format's primary listeners. Some of these songs are currents released in the past 45 weeks but many are gold and radio programmers using old school format playbooks are struggling to properly reflect the popularity of this group.
So they don't play many of the most-highly listened to songs by this group. Or if they play some of them, they are not being heard nearly enough by the target listener.
Coldplay is another example. And there are many others.
Traditional radio doesn't seem to have truly migrated to using on-demand streaming data to program its stations. For the first time, radio is no longer able to dictate its musical approach to listeners. Rather, radio finds itself in a position to be led by the technology - on-demand streaming data.
And that reversal of roles is causing consternation among those whose responsibility it is to reflect the tastes of today's music consumer as it applies to radio's role as the source of hit music.
Bottom line: published airplay charts - in general - do not correlate with actual consumption of music as represented by on-demand streaming charts. Radio listeners have very good taste in music and through viral sharing and social media recommendations, music fans and radio are now on divergent paths.
Radio station programmers who understand this reality will reflect today's true music consumption behavior and will properly reflect consumer tastes.
Dave Van Dyke
Methodology: Correlations were calculated by running correlation analyses comparing an average of four of each music format's top 100 published lists during the month of September 2016 with Bridge Ratings' on-demand streaming rankers for each music format. Song rankings outside of the standard deviation of +/- 10% contributed to the overall correlation variances noted in this analysis.