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How Streaming Influences
Concert Choices and Music
Consumption
Gigi Johnson, EdD
Executive Director, UCLA Center for Music Innovation
UCLA Herb Alpert School of Music
@MusicInnovUCLA
Innovation.schoolofmusic.ucla.edu
CMI’s Question: How Artists can live/thrive
on .2-.8 cents per stream -- before splitting
up the results?
“We will make it up in Volume.”
“We will make it up in Live
Performance.”
Will we?
Who will?
What are future trends?
Making It Up in Live?
UCLA is Asking This Question
in Los Angeles
How is Streaming affecting live venues,
performances, and communities?
Song
CommunityExperience
40+ interviews into a study across the region
Original Hypothesis
Music streaming is negatively impacting small
venue live performance revenue as a substitute
good in competition for both time and money
•No and Yes
•Not that simple
Music Cities: Other Research on Local
Live Music
http://www.austintexas.gov/department/austin-music-census-report
Music City? Music Cities in a City?
Questions:
• How does this differ by demographic? Venue size? Our own study --
at about 40 interviews and finding differences by venue type, genres,
fan ages, etc. Kpop and Latin -- very different than EDM.
• Tracking and data for interventions -- what are we tracking as a
starting point? How to measure a venue/venues? Seats? Capacity
utilization? How do we track shifts across a city? LA: Shifts to
downtown, Chinatown, further west -- if/how measured?
Who is Coming to Concerts?
How? Why?
Source: Ticketmaster Live Analytics,
2014 Data, via SlideShare
“…the top 1% of live artists
(many of whom are aging
heritage acts) account for 68%
of all live revenue.”
MEDiA, Mark
Mulligan
https://musicindustryblog.wordpress.com/2017/06/15/do-
not-assume-we-have-arrived-at-our-destination/
How are fans making
decisions on how and
where to enjoy live
music? WHO is doing
both?
How does this impact
venues and local music
communities?
How are venues changing
(or not changing) the
content and experience in
light of streaming?
Music
Consumption
Concert
Choice
Key Driver: Our Smartphones
Source: Nielsen Total Audience 3Q 2016
Smartphone: Expanding Media
an Hour a Day since 2014
Making It Up in Volume?
-
100
200
300
400
500
600
700
800
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
US Recorded Music, Cume Album Equivalents
CD Unit Sales Digital Album Sales DDL/10
Audio Streams/1500 Video Streams/1500
SOURCE: Nielsen/Soundscan
New – up to 8 weeks old (2 mos)
Recent: 8-78 weeks old (2 mos to 18 mos)
Catalog: 78-156 weeks old (18 mos to 3 years)
Deep Catalog: more than 156 weeks old (3 years)
Discovery? Or Reminding You of What You Love?
Volume for Whom?
Challenge of Recall and Attention:
42% of Streams for 5,000 Tracks
Streaming Music: Connected Music, People,
and Environments
Song
CommunityExperience
Connecting = The New Curation
Immersive,
Everywhere Music
Music + Data +
Location =
Immediate, In-
Context Data
Lifestyle, Pervasive,
In-Context
Advertising
Playlist as the New
Radio –
Reaggregating
Audiences
Knowing
YESTERDAY – but
WHO knows? Who
owns that info?
WE are the Product
vs. the Song
TSL All Music Listening
Source: MusicWatch Inc.
TSL 2016 Share Source: MusicWatch Inc.
And Who Says?
Spotify vs. Non-Spotify Curators
Source: Chartmetric.io
The Weeknd
KREAM (Deep house, Norway)
Source: Chartmetric.io via
Medium (link)
Selling our Behaviors to Brands
Selling our Behaviors to Brands
Playlists: The New Radio? Album?
So What is the New
Customer Journey?
How does the fan do
more than just stream
and share?
Eventbrite/MusicWatch Study:
Streaming and Social Impact Discovery
Eventbrite/MusicWatch Study:
Discovery Leading to Tickets
How do Venues
wrestle with
Discovery and Recall?
Open Question
Connect
Fan Armies / SuperFans iBeacons LISNR / apps Ampsy
Predict
Business Intelligence Units
Influence / Discovery/ Recall
BandsinTown Songkick Spotify Concerts
Eventbrite / Spotify /
FB
Ticketmaster CRM
SEO / Customer
Journey
Digest
Tools Pandora AMP Chartmetric.io Cayo5 Pollstar
Data
Silos Splinternets Google/FB
29
Fans as Marketers – After?
New Expectations of “Experience“
“FOMO”: Fear of Missing Out
Rethinking music as creative and fan communities
• Floating Clubs between venues and in
alternate spaces
• Curation communities
• New collaboration communities – artist
collaboratives
Future Trends: Next Influence
Dances • Business Intelligence departments
at Ticketmaster, AEG
• Predictive analytics
• Conversational computing /
Personal assistants
Data + Natural Language Processing =
Alexa Questions
“Alexa, play Ed Sheeran.”
Results revolve around “popularity and
relevance to the consumer.”
Steve Boom, Amazon Music VP in interview
with Billboard
http://www.musicwatchinc.com/blog/thanks-alexa-friends-with-benefits/
Echo/Alexa: Expanding the Footprint
How We Ask . . . Even Now . . . Marketing Into
Bots and Natural Language Processing
Retail is Rethinking:
What is a Great Live Experience?
Not Just Live Music:
Meanwhile, Dramatic Shifts in Retail
And Mobile Reading Live Experience:
Adding to Where You Are: Computer Vision
and AR in RL
SOMEONE
Knows
Exactly What
You Did
Yesterday
Business
Intelligence
Predictive
Analytics
New
Tastemakers
Aggregators as
New Power
Brokers
Playlists as the New
Radio
Continuing Question:
How can/should Venues
engage with the New
Curators and Systems?
UCLA Center for Music Innovation
Gigi Johnson, EdD
gigi.johnson@ucla.edu
@MusicInnovUCLA
“Innovating Music” Podcast
http://innovation.schoolofmusic.ucla.edu

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How Streaming Influences Concert Choices and Music Consumption - MIRA 2017

  • 1. How Streaming Influences Concert Choices and Music Consumption Gigi Johnson, EdD Executive Director, UCLA Center for Music Innovation UCLA Herb Alpert School of Music @MusicInnovUCLA Innovation.schoolofmusic.ucla.edu
  • 2. CMI’s Question: How Artists can live/thrive on .2-.8 cents per stream -- before splitting up the results? “We will make it up in Volume.” “We will make it up in Live Performance.” Will we? Who will? What are future trends?
  • 3. Making It Up in Live?
  • 4. UCLA is Asking This Question in Los Angeles How is Streaming affecting live venues, performances, and communities? Song CommunityExperience 40+ interviews into a study across the region
  • 5. Original Hypothesis Music streaming is negatively impacting small venue live performance revenue as a substitute good in competition for both time and money •No and Yes •Not that simple
  • 6. Music Cities: Other Research on Local Live Music http://www.austintexas.gov/department/austin-music-census-report
  • 7. Music City? Music Cities in a City? Questions: • How does this differ by demographic? Venue size? Our own study -- at about 40 interviews and finding differences by venue type, genres, fan ages, etc. Kpop and Latin -- very different than EDM. • Tracking and data for interventions -- what are we tracking as a starting point? How to measure a venue/venues? Seats? Capacity utilization? How do we track shifts across a city? LA: Shifts to downtown, Chinatown, further west -- if/how measured?
  • 8. Who is Coming to Concerts? How? Why? Source: Ticketmaster Live Analytics, 2014 Data, via SlideShare
  • 9. “…the top 1% of live artists (many of whom are aging heritage acts) account for 68% of all live revenue.” MEDiA, Mark Mulligan https://musicindustryblog.wordpress.com/2017/06/15/do- not-assume-we-have-arrived-at-our-destination/
  • 10. How are fans making decisions on how and where to enjoy live music? WHO is doing both? How does this impact venues and local music communities? How are venues changing (or not changing) the content and experience in light of streaming? Music Consumption Concert Choice
  • 11. Key Driver: Our Smartphones
  • 12. Source: Nielsen Total Audience 3Q 2016 Smartphone: Expanding Media an Hour a Day since 2014
  • 13. Making It Up in Volume? - 100 200 300 400 500 600 700 800 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 US Recorded Music, Cume Album Equivalents CD Unit Sales Digital Album Sales DDL/10 Audio Streams/1500 Video Streams/1500 SOURCE: Nielsen/Soundscan
  • 14. New – up to 8 weeks old (2 mos) Recent: 8-78 weeks old (2 mos to 18 mos) Catalog: 78-156 weeks old (18 mos to 3 years) Deep Catalog: more than 156 weeks old (3 years) Discovery? Or Reminding You of What You Love?
  • 15. Volume for Whom? Challenge of Recall and Attention: 42% of Streams for 5,000 Tracks
  • 16. Streaming Music: Connected Music, People, and Environments Song CommunityExperience Connecting = The New Curation Immersive, Everywhere Music Music + Data + Location = Immediate, In- Context Data Lifestyle, Pervasive, In-Context Advertising Playlist as the New Radio – Reaggregating Audiences Knowing YESTERDAY – but WHO knows? Who owns that info? WE are the Product vs. the Song
  • 17. TSL All Music Listening Source: MusicWatch Inc.
  • 18. TSL 2016 Share Source: MusicWatch Inc.
  • 19. And Who Says? Spotify vs. Non-Spotify Curators Source: Chartmetric.io
  • 20. The Weeknd KREAM (Deep house, Norway) Source: Chartmetric.io via Medium (link)
  • 23. Playlists: The New Radio? Album?
  • 24. So What is the New Customer Journey? How does the fan do more than just stream and share?
  • 27. How do Venues wrestle with Discovery and Recall? Open Question
  • 28. Connect Fan Armies / SuperFans iBeacons LISNR / apps Ampsy Predict Business Intelligence Units Influence / Discovery/ Recall BandsinTown Songkick Spotify Concerts Eventbrite / Spotify / FB Ticketmaster CRM SEO / Customer Journey Digest Tools Pandora AMP Chartmetric.io Cayo5 Pollstar Data Silos Splinternets Google/FB
  • 29. 29 Fans as Marketers – After? New Expectations of “Experience“ “FOMO”: Fear of Missing Out
  • 30. Rethinking music as creative and fan communities • Floating Clubs between venues and in alternate spaces • Curation communities • New collaboration communities – artist collaboratives
  • 31. Future Trends: Next Influence Dances • Business Intelligence departments at Ticketmaster, AEG • Predictive analytics • Conversational computing / Personal assistants
  • 32. Data + Natural Language Processing =
  • 34. “Alexa, play Ed Sheeran.” Results revolve around “popularity and relevance to the consumer.” Steve Boom, Amazon Music VP in interview with Billboard
  • 36.
  • 38. How We Ask . . . Even Now . . . Marketing Into Bots and Natural Language Processing
  • 39. Retail is Rethinking: What is a Great Live Experience?
  • 40. Not Just Live Music: Meanwhile, Dramatic Shifts in Retail
  • 41. And Mobile Reading Live Experience: Adding to Where You Are: Computer Vision and AR in RL
  • 42. SOMEONE Knows Exactly What You Did Yesterday Business Intelligence Predictive Analytics New Tastemakers Aggregators as New Power Brokers Playlists as the New Radio Continuing Question: How can/should Venues engage with the New Curators and Systems?
  • 43. UCLA Center for Music Innovation Gigi Johnson, EdD gigi.johnson@ucla.edu @MusicInnovUCLA “Innovating Music” Podcast http://innovation.schoolofmusic.ucla.edu

Editor's Notes

  1. “Average” person goes to 1-2 concerts per year Super Fan – shifting time nad money
  2. New – up to 8 weeks old (2 mos) Recent: 8-78 weeks old (2 mos to 18 mos) Catalog: 78-156 weeks old (18 mos to 3 years) Deep Catalog: more than 156 weeks old (3 years)
  3. Algorithms tracking human curation -- Spotify tracking influential users' playlists, blogs, etc.,…plus extensive individual human curation
  4. Competitive advantage? Increasing benefits to scale, both on Splinternets AND for AEG, LiveNation, and Ticketmaster Who is “responsible”? Artist/manager/agent? Venue/promoter? Preventive? Security in some cases using facial recognition, etc.
  5. 8MM Echoes sold through January