It is no secret that data now drives who gets signed, with record labels chasing stats in search of the next streaming friendly hit. But analyst Mark Mulligan and some label execs are wondering how music can evolve when A&R is a reflection of current trends rather than as a tastemaker; and how an out of the box music can find a place with an increasingly closed loop of statistics.
By Mark Mulligan of MIDiA and the Music Industry Blog
A succession of conversations with record labels over the last couple of months has made me start to ponder whether we are approaching a tipping point in streaming era A&R. At the heart of the conversations is whether the growing role of playlists and the increased use of streaming analytics is making label A&R strategy proactive or reactive? Is what people are listening to shaped by the labels or the streaming service? To subvert Paul Weller’s 1980s Jam lyrics: Does the public get what the public wants or does the public want what the public gets?
At MIDiA we have worked with many organisations to help them improve their use of data and the number one problem we fix, is going to deep with analytics. It might sound like a crazy thing to say, but we have seen again and again, companies fetishize analytics, pushing out endless dashboards across the organisation. Too often the results are:
By Mark Mulligan of MIDiA and the Music Industry Blog
A succession of conversations with record labels over the last couple of months has made me start to ponder whether we are approaching a tipping point in streaming era A&R. At the heart of the conversations is whether the growing role of playlists and the increased use of streaming analytics is making label A&R strategy proactive or reactive? Is what people are listening to shaped by the labels or the streaming service? To subvert Paul Weller’s 1980s Jam lyrics: Does the public get what the public wants or does the public want what the public gets?
An old dynamic reinvented
Radio used to be the main way in which audiences were essentially told what to listen to. Labels influenced what radios would play through a range of soft tactics – boozy lunches, listening sessions etc. – and hard tactics – pluggers, payola etc. Now radio is in long-term decline, losing its much-coveted younger audience to YouTube and audio streaming services. Streaming services have learned to capture much of this listening time by looking and feeling a lot more like radio through tactics such as curated playlists, stations, personalisation and podcasts. Curated listening is increasingly shaping streaming consumption, ensuring that the listening behaviours of streaming users resembles radio-like behaviour as much as it does user-led listening. The problem for the record labels is that they have less direct influence on streaming services’ playlists than they did on radio.Chasing the data
All record labels have become far more data savvy over recent years, with the major labels in particular building out powerful data capabilities. This has resulted in a shift in emphasis from more strategic, insight-led data, such as audience segmentation, to more tactical, data such as streaming analytics.At MIDiA we have worked with many organisations to help them improve their use of data and the number one problem we fix, is going to deep with analytics. It might sound like a crazy thing to say, but we have seen again and again, companies fetishize analytics, pushing out endless dashboards across the organisation. Too often the results are:
- decision makers paradoxically pay less attention to data than previously, not more, because they assume someone else must be ‘on it’ because of all the dashboards
- strategic decisions are made because of ‘blips’ in the data. There is a danger that record labels are now following this path, relying too heavily on streaming analytics. It is interesting to contrast labels with TV companies. Until the rise of streaming, TV networks were obsessed with ‘overnight ratings’, looking at how a show performed the prior night. Now streaming has made the picture more nuanced, TV networks are turning to a diverse mix of metrics, incorporating ratings, streaming metrics, social data and TV show brand trackers. Streaming made the TV networks take a more diverse approach to data, but has made record labels pursue a narrower approach.
- Streaming analytics stripped of the context of insight can mislead
- Lean-back hits are not real hits
The risk for record labels is that doubling down on streaming analytics can easily result in double and fake positives and create the illusion of causality. Arguably the biggest problem is making curation-led trends look like user-led trends, mis-interpreting organic hits for manufactured ones.
Lean-back hits
One major label exec was recently telling me about how one of his label’s artists had ended up in Spotify Today’s Top Hits and racked up super-impressive stats. The success surprised the label as everything else they knew about the artists suggested it would not be such a big breakthrough performer. Nonetheless the label decided to rewrite its plan and threw a huge amount of marketing support behind the next single. Yes, you guessed it, it flopped. When the label went back to the streaming stats, it transpired that the vast majority of plays were passive. It was a hit because it was in a hit playlist that users tend not to skip through, which created an artificial hit, albeit a transitory one.This case study highlights the two big challenges we face: