{"id":2260,"date":"2015-11-20T16:21:51","date_gmt":"2015-11-20T21:21:51","guid":{"rendered":"https:\/\/digital.hbs.edu\/platform-digit\/submission\/next-big-sound-bandpage-on-steroids\/"},"modified":"2015-11-20T16:21:51","modified_gmt":"2015-11-20T21:21:51","slug":"next-big-sound-bandpage-on-steroids","status":"publish","type":"hck-submission","link":"https:\/\/d3.harvard.edu\/platform-digit\/submission\/next-big-sound-bandpage-on-steroids\/","title":{"rendered":"Next Big Sound – BandPage on Steroids?!"},"content":{"rendered":"

At this point, we should all be convinced of the value of data and analytics in the music industry. If the proliferation of various streaming services and accompanying press over artist backlash (\u2026looking at you, Taylor) hadn\u2019t done it for you, then surely the BandPage case would\u2019ve. That in mind, I\u2019d like to introduce another company in the industry with particularly interesting value creation and capture models \u2013 Next Big Sound.<\/p>\n

Value Creation<\/u><\/p>\n

Like BandPage, NBS focuses on a holistic view of an artist\u2019s digital presence \u2013 everything from streams to iTunes sales to Facebook likes, Twitter mentions, and Wikipedia page views. However, rather than consolidating information on behalf of the artist and consistently publishing to various platforms, NBS tries to use platform data to accurately predict<\/em> an artist\u2019s trajectory. Think about it as de-mystifying an artist\u2019s meteoric rise from playing in their garage to headlining nationwide tours with a data-driven approach. To artists and labels, imagine the possibilities of knowing which bands are about to break and why \u2013 playing which late-night shows, which venues, which cities, which social media platforms really<\/em> impact an artist\u2019s trajectory. In fact, NBS has already predicted the rise of acts like Iggy Azalea, A$AP Rocky, and Macklemore & Ryan Lewis. Billboard now publishes two charts based exclusively on NBS\u2019 data. They produce insights that tell us things like while T Swift dominates Twitter and Instagram (obviously), she doesn\u2019t even crack the top 10 in interactions on Facebook, where Latin artists engage users the most. Likewise, while any indie music fan might be able to tell you that Halsey was\/is about to blow up into the mainstream, NBS can supports that claim with data and democratize the information.<\/p>\n

\"\"<\/a>
Example of NBS Analytics Dashboard<\/figcaption><\/figure>\n
\"Another<\/a>
Another Example<\/figcaption><\/figure>\n

Value Capture<\/u><\/p>\n

NBS also differentiates on the Value Capture model. Clearly there is value to be had for all artists trying to make it big, and for those who are already big, how to stay on top. This has enabled NBS to ink deal with the biggest names in music, answering questions like \u2013 who is my target audience and most loyal fans, when should I release my next single, where should I play a show next, and are my tweets working? Providing that information is one revenue stream.<\/p>\n

Equally important though, is the $1B+ spent each year by various brands on music-related marketing and sponsorships (think Pepsi). NBS is using their analytics to point brands toward the right artists to sign deals with. They know precisely what demographics are strongest with each artist, and can leverage that to target market with brands. Similarly, they can steer brands away from signing on with last year\u2019s pricey superstar, and instead get them a deal with next summer\u2019s smash hit.<\/p>\n

Operating Model<\/u><\/p>\n

Clearly data mining must be a critical competency for NBS. In the first 6 months of 2015 alone, NBS tracked over one trillion <\/em>plays on various platforms including Pandora, Spotify, Rdio, SoundCloud, Vevo, Vimeo, & YouTube. They track engagement on Facebook, Instagram, Twitter, and Wikipedia as well. Designing and refining the predictive algorithms that make the data meaningful, and the visualizations that allow artists, labels, and brands to digest and use the output are other critical components of a well-functioning NBS ecosystem. Getting the right partnerships and access to data early on has been critical (access to Spotify data came a few years ago) as well, and they\u2019ll have to continue to expand the data pipeline to add value for its customers.<\/p>\n

Challenges<\/u><\/p>\n

There has been a lot of change for NBS recently. They were acquired by Pandora in May, and launched Next Big Book for the book publishing industry recently as well. While NBS may bring analytics to music better than anyone currently \u2013 barriers to this market aren\u2019t especially high, and their alignment with Pandora may deter other streaming services from sending them data. On the flip side, people are now starting to question whether NBS is predicting <\/em>hits, or actually creating<\/em> them. If Billboard uses NBS data to publish a list of up and coming artists \u2013 does that predict those artists\u2019 success, or does it actually make them successful?<\/p>\n

 <\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

“I stream, you stream, we all stream some Trap Queen.”
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