SlideShare ist ein Scribd-Unternehmen logo
1 von 122
Downloaden Sie, um offline zu lesen
How we listen to music
Paul Lamere
SXSW
March 17, 2015
#HowListen
The Awesome Chart Explorer
Charts move into the
digital age
#HowListen
Some
cautionary words
TheWho
#HowListen
TheWhat
TheWhen TheWhere
TheHow
TheWhy
TheWho
#HowListen
TheWhat
TheWhen TheWhere
TheHow
TheWhy
What do we know about the user?
Age
Gender
Country
All user data anonymized
Spotify gender demographics
Female
46% Male
54%
Spotify age demographics
Percentage
0
10
20
30
40
Age range
0-12 13-17 18-24 25-34 35-44 45-54 55+
Demographic charts
What are the kids listening to these days?
#HowListen
1. Hate Bein' Sober - Chief Keef
2. Marijuana - Kid Cudi
3. Buried Alive - Logic
4. Prayer Of The Refugee - Rise Against
5. Opposite Of Adults - Chiddy Bang
Distinctive tracks for an 18 year old US male
1. Ride - SoMo
2. Young Blood - Bea Miller
3. How To Be A Heartbreaker - Marina and The Diamonds
4. Voodoo Doll - 5 Seconds Of Summer
5. House Party - Sam Hunt
Distinctive tracks for an 18 year old US female
1. L.A.LOVE (la la) - Fergie
2. I Loved You - Blonde
3. Changing - Sigma
4. Let Her Go - Passenger
5. Promesses - Tchami
Distinctive tracks for an 18 year old UK female
1. Bad Moon Rising - Creedence Clearwater Revival
2. Gimme Shelter - The Rolling Stones
3. Into The Mystic - Van Morrison
4. Fire And Rain - James Taylor
Distinctive tracks for a 55 year old US male
How much music do
we listen to?
How many artists and songs do we really listen to in a year?
#HowListen
What was on your iPod?
2006 study
Songs on your iPod 3,542
Active songs in your iPod 1,274
Never played 64%
2011 study
Songs on your iPod 5,409
Active songs in your iPod 1,214
Never played 78%
iTunes Registry Music WithMe
One Year on Spotify - 55 year-old male track listening
1309 unique tracks listened to in a year
155 tracks in heavy rotation in a year
One Year on Spotify - 55 year-old male artist listening
363 artists listened to in a year
53 artists in rotation in a year
One Year on Spotify - 12-17 year-old female artist listening
390 artists listened to in a year
69 artists in rotation in a year
What is in your Spotify?
55+ year old males
Tracks in heavy rotation 155
Unique tracks played 1,309
Average plays per year 3,054
Artists in heavy rotation 53
Unique artists played 362
12-17 year old females
Tracks in heavy rotation 240
Unique tracks played 1,251
Average plays per year 4,823
Artists in heavy rotation 69
Unique artists played 390
1. Led Zeppelin
2. Miles Davis
3. Bob Dylan
4. Bruce Springsteen
5. Eric Clapton
First artist listened to by a 55 year-old male
1. One Direction
2. Beyoncé
3. Miley Cyrus
4. A Great Big World
5. Katy Perry
First artist listened to by a 12-17 year-old female
TheWho
#HowListen
TheWhat
TheWhen TheWhere
TheHow
TheWhy
What do you play when you play a track?
The Track
The Album
The Artists
The Artists
The Artists
The Artists
The Artists
The Genres
The Context
search
playlist
radio
1. He's A Tramp - Peggy Lee
2. The Siamese Cat Song - Si and Am
3. I Wan'na Be Like You - Louis Prima
4. Singin' In The Rain- Gene Kelly
5. When You Wish Upon A Star - Louis Armstrong
Distinctive jazz tracks for a 12-17 year old female
TheWho
#HowListen
TheWhat
TheWhen TheWhere
TheHow
TheWhy
Growth Charts
What’s climbing, what’s falling?
#HowListen
Listener growth
Carly Rae Jepsen
Selena Gomez
Kanye West
Major Lazer
Demographic charts
for specific time of day
How does our listening change over the course of a day?
#HowListen
1. Pink Moon- Nick Drake
2. Wild World - Cat Stevens
3. Shine - Benjamin Francis Leftwich
4. Banner (Acoustic) - LIGHTS
5. You've Got A Friend - James Taylor
Distinctive morning tracks for a 55+ year old female
1. Healing Sleep Music - Deep Sleep
2. Sleep Music - Binaural Beats Brainwave Entrainmen
3. Secret Zen - Classical Piano Music for Zen Meditation
4. 2/1 - 2004 Digital Remaster Brian Eno
5. Nocturne Best Studying Music- Calming Baby Sleep
Music Club
Distinctive late night tracks for a 55+ year old female
Exploring the rhythms
of a city with music
these little town blues
#HowListen
One week of listening in NewYork City
One day of listening in NewYork City
One day of listening in NewYork City
One day of listening in London
Quiz: What day is this?
Spotify Listening on NewYear’s Eve in NewYork City
1. Uptown Funk - Mark Ronson
2. Auld Lang Syne - Susan Boyle
3. I Don't Fuck With You - Big Sean
4. Theme from New York, New York - Frank Sinatra
5. Auld Lang Syne - Mariah Carey
Top tracks played first in 2015
NewYear’s Eve Listening in five cities
NewYear’s Eve Listening in five cities
Superbowl Sunday Listening - February 2015
Music Analytics
for Science
Comet 67P/Churymov-Gerasimenko
#HowListen
Strange spikes detected
“Don’t want to miss a thing” -Aerosmith
Robotic lander Philae touched down
on Comet 67P
“Close Shave” with Asteroid 2012 DA1
‘Potentially Hazardous Asteroid’ EM26
approaches
Rosetta spacecraft orbits Coment 67P
September Pi Orionids
Philae landing site selected
This was the headline …
https://insights.spotify.com/us/2014/11/21/aerosmith-rosetta-comet/
But maybe the headline should have been …
https://insights.spotify.com/us/2014/11/21/aerosmith-rosetta-comet/
TheWho
#HowListen
TheWhat
TheWhen TheWhere
TheHow
TheWhy
The sounds of the city
Distinctive listening by City
#HowListen
The Sound of New Orleans
• Cassanova-RebirthBrassBand
• AllOnAMardiGrasDay-TheWildMagnolias
• MardiGrasInNewOrleans-ProfessorLonghair
• IFeelLikeFunkin'ItUp-ExtendedMix-RebirthBrassBand
The Sound of Nashville
• CoverMeUp-JasonIsbell
• SheLitAFire-LordHuron
• TurtlesAlltheWayDown-SturgillSimpson
• Sedona-Houndmouth
The Sound of Laredo
• SomeoneElseCallingYouBaby-LukeBryan
• TeLlevare-Siggno
• ¿PorQuéMeHacesLlorar?-JuanGabriel
• Aire-Intocable
Musical imports and exports
•Drake
•SamSmith
•alt-j
•Sia
Musical imports and exports
• OfMonstersandMen
• ÓlafurArnalds
• SigurRós
• Björk
Top Icelandic artist local favorites
• BubbiMorthens
• Hjálmar
• Valdimar
• GusGus
TheWho
#HowListen
TheWhat
TheWhen TheWhere
TheHow
TheWhy
How we listen in
different contexts
Your favorite coffeehouse
#HowListen
One week of listening in NewYork CIty
US Weekly listening
Normalized US Coffee Listening
Normalized US Exercise Listening
Normalized US Party Listening
Finding artists with
passionate fans
Using replays, tracks in rotation and plays per fan
#HowListen
Replays vs. the Age of the track - top 1,000 most popular songs
Let it Go
Intro - the XX
Are You With Me River Flows In You
All Day
1. Box Fan Sound
2. White Noise
3. Waterfall
4. Brown Noise
5. Pouring Rain
Most replayed deep tracks
Average artist tracks per fan
Grateful Dead
Glee Cast
Banda Sinaloense
Pierce the Veil
Artist passion by plays per fan
Grateful Dead
Glee Cast
Banda Sinaloense
Pierce the Veil
Finding song hot spots based
upon listening behavior
Some experimental work
#HowListen
Most ‘interesting’ bit at
3:29 to 3:45
Finding the hot spots in “In the air tonight”
Song cool spot:
The psychedelic interlude
Song hot spot:
The Guitar solo
Finding the hot spots in “Whole Lotta Love”
Hot spot:
Synth Chorus
Cool spot:
After the drop
Last Hot Spot:
“And it’s over”
Finding the hot spots in “Raise your weapon”
TheWho
#HowListen
TheWhat
TheWhen TheWhere
TheHow
TheWhy
Top playlist names on Spotify
Rap
Country
House
Rock
Music
Chill
Party
Workout
Gym
Roadtrip
Context is the new genre
17 of the top 100 playlist names are genre related
41 of the top 100 playlist names are context related
Top context-related playlists
Chill Party Workout Relax Gym Dance Sleep Pregame Car
Feel Good Roadtrip Summer Work Study Sex Pump up Night
Drive Training Gaming Shower Ski Snowboarding Cafe
Homework Twerk On the road Motivation School 420 Dinner
Running Friends Sad XC School Yoga Winter Coffee Sleepy Flow
Girls Night Commute Drinking Crossfit Break Up Inspiration
Smoking Romance Afterski Preparty Beach Cardio Hike Fly
Afternoon Happiness Training Walk Predrinks Office Cry
Wake up Travel Fitness Focus Cleaning Cruising Lifting Evening
Rainy Day Autumn Train Love Worship Depression Morning
Training and workout
Chill Party Workout Relax Gym Dance Sleep Pregame Car
Feel Good Roadtrip Summer Work Study Sex Pump up Night
Drive Training Gaming Shower Ski Snowboarding Cafe
Homework Twerk On the road Motivation School 420 Dinner
Running Friends Sad XC School Yoga Winter Coffee Sleepy Flow
Girls Night Commute Drinking Crossfit Break Up Inspiration
Smoking Romance Afterski Preparty Beach Cardio Hike Fly
Afternoon Happiness Training Walk Predrinks Office Cry
Wake up Travel Fitness Focus Cleaning Cruising Lifting Evening
Rainy Day Autumn Train Love Worship Depression Morning
Mood
Chill Party Workout Relax Gym Dance Sleep Pregame Car
Feel Good Roadtrip Summer Work Study Sex Pump up Night
Drive Training Gaming Shower Ski Snowboarding Cafe
Homework Twerk On the road Motivation School 420 Dinner
Running Friends Sad XC School Yoga Winter Coffee Sleepy Flow
Girls Night Commute Drinking Crossfit Break Up Inspiration
Smoking Romance Afterski Preparty Beach Cardio Hike Fly
Afternoon Happiness Training Walk Predrinks Office Cry
Wake up Travel Fitness Focus Cleaning Cruising Lifting Evening
Rainy Day Autumn Train Love Worship Depression Morning
Travel
Chill Party Workout Relax Gym Dance Sleep Pregame Car
Feel Good Roadtrip Summer Work Study Sex Pump up Night
Drive Training Gaming Shower Ski Snowboarding Cafe
Homework Twerk On the road Motivation School 420 Dinner
Running Friends Sad XC School Yoga Winter Coffee Sleepy Flow
Girls Night Commute Drinking Crossfit Break Up Inspiration
Smoking Romance Afterski Preparty Beach Cardio Hike Fly
Afternoon Happiness Training Walk Predrinks Office Cry
Wake up Travel Fitness Focus Cleaning Cruising Lifting Evening
Rainy Day Autumn Train Love Worship Depression Morning
Romance
Chill Party Workout Relax Gym Dance Sleep Pregame Car
Feel Good Roadtrip Summer Work Study Sex Pump up Night
Drive Training Gaming Shower Ski Snowboarding Cafe
Homework Twerk On the road Motivation School 420 Dinner
Running Friends Sad XC School Yoga Winter Coffee Sleepy Flow
Girls Night Commute Drinking Crossfit Break Up Inspiration
Smoking Romance Afterski Preparty Beach Cardio Hike Fly
Afternoon Happiness Training Walk Predrinks Office Cry
Wake up Travel Fitness Focus Cleaning Cruising Lifting Evening
Rainy Day Autumn Train Love Worship Depression Morning
Time
Chill Party Workout Relax Gym Dance Sleep Pregame Car
Feel Good Roadtrip Summer Work Study Sex Pump up Night
Drive Training Gaming Shower Ski Snowboarding Cafe
Homework Twerk On the road Motivation School 420 Dinner
Running Friends Sad XC School Yoga Winter Coffee Sleepy Flow
Girls Night Commute Drinking Crossfit Break Up Inspiration
Smoking Romance Afterski Preparty Beach Cardio Hike Fly
Afternoon Happiness Training Walk Predrinks Office Cry
Wake up Travel Fitness Focus Cleaning Cruising Lifting Evening
Rainy Day Autumn Train Love Worship Depression Morning
Focus
Chill Party Workout Relax Gym Dance Sleep Pregame Car
Feel Good Roadtrip Summer Work Study Sex Pump up Night
Drive Training Gaming Shower Ski Snowboarding Cafe
Homework Twerk On the road Motivation School 420 Dinner
Running Friends Sad XC School Yoga Winter Coffee Sleepy Flow
Girls Night Commute Drinking Crossfit Break Up Inspiration
Smoking Romance Afterski Preparty Beach Cardio Hike Fly
Afternoon Happiness Training Walk Predrinks Office Cry
Wake up Travel Fitness Focus Cleaning Cruising Lifting Evening
Rainy Day Autumn Train Love Worship Depression Morning
Socializing
Chill Party Workout Relax Gym Dance Sleep Pregame Car
Feel Good Roadtrip Summer Work Study Sex Pump up Night
Drive Training Gaming Shower Ski Snowboarding Cafe
Homework Twerk On the road Motivation School 420 Dinner
Running Friends Sad XC School Yoga Winter Coffee Sleepy Flow
Girls Night Commute Drinking Crossfit Break Up Inspiration
Smoking Romance Afterski Preparty Beach Cardio Hike Fly
Afternoon Happiness Training Walk Predrinks Office Cry
Wake up Travel Fitness Focus Cleaning Cruising Lifting Evening
Rainy Day Autumn Train Love Worship Depression Morning
Let’s find music for a particular context by mining tracks
from the 1.5 billion existing playlists
“Create a playlist of mainstream tracks good for running for an 55 year-old male”
Context is important, but …
Context is hard!
The Playlist Miner
Query: Distinctive mainstream running songs for 55+ year-old male
tuesday run
fast run
running
songs for my run
running tunes
morning run
running
1.5
Billion
Playlists
10,000 running playlists
“running”
The Playlist Miner
Query: Distinctive mainstream running songs for 55+ year-old male
ay run
fast run
running
songs for my run
running tunes
morning run
running
running playlists
aggregate tracks
100,000 ranked running songs
1. R
2. B
3. G
4. E
5. I
Filter tracks by
demographics,
popularity, etc.
The Playlist Miner
Query: Distinctive mainstream running songs for 55+ year-old male
1. Running on Empty - Jackson Browne
2. Born to Run - Bruce Springsteen
3. Gonna Fly Now (Rocky) - Bill Conti
4. Eye of the Tiger - Survivor
5. I Ran (So Far Away) - Flock of Seagulls
Filter tracks by
demographics,
popularity, etc.
1. Running on Empty - Jackson Browne
2. Born to Run - Bruce Springsteen
3. Gonna Fly Now (Rocky) - Bill Conti
4. Eye of the Tiger - Survivor
5. I Ran (So Far Away) - Flock of Seagulls
Top 55+ year-old male Running tracks
Two old ladies are lying in a bed - Army Rangers
Hyper-distinctive 55+ male running track:
Top 18-24 year-old female Running tracks
1. Runaway Baby - Bruno Mars
2. I Just Wanna Run - The Downtown Fiction
3. Stronger - Kelly Clarkson
4. Fighter - Christina Aguilera
5. Every chance we get we run - David Guetta
1. On the Road Again - Willie Nelson
2. Running On Empty - Jackson Browne
3. Radar Love - Golden Earring
4. On the Road Again - Canned Heat
5. Ventura Highway - America
Top 55+ year-old male Roadtrip tracks
1. All Summer Long - Kid Rock
2. Beautiful Life - Union J
3. Superbad - Jesse McCarthy
4. Ride - JTR
5. Rockstar - A Great Big World
Top 18-24 year-old female Roadtrip tracks
1. Love Me - The Little Willies
2. Let’s Get it On - Marvin Gaye
3. A Whiter Shade of Pale - Procol Harum
4. Nobody Does it Better - Carly Simon
5. You’ll Never Find Another Love Like Mine - Lou Rawls
Top 55+ year-old male Sexy Time tracks
1. Love Faces - Trey Songz
2. Take You Down - Chris Brown
3. Dive In - Trey Songz
4. Birthday Sex - Jeremih
5. Kisses Down Low - Kelly Rowland
Top 18-24 year-old female Sexy Time tracks
1. Cry Like a Baby - The Box Tops
2. The Heart of the Matter - Don Henley
3. Crying in the Rain - The Everly Brothers
4. Crying - Roy Orbison
5. Always on my Mind - Willie Nelson
Top 55+ year-old male Break Up tracks
1. F*ck It (I Don’t Want You Back) - Eamon
2. Too Little, Too Late - JoJo
3. Potential BreakUp Song - Aly & AJ
4. Since U Been Gone - Kelly Clarkson
5. Leave (Get Out) - JoJo
Top 18-24 year-old female Break Up tracks
Making charts
personal
Your year in music
#HowListen
TheWho
#HowListen
TheWhat
TheWhen TheWhere
TheHow
TheWhy
How we listen to music
Paul Lamere
@plamere
#HowListen
http://spoti.fi/HowListen
Resources:

Weitere ähnliche Inhalte

Was ist angesagt?

Analysis of survey results
Analysis of survey resultsAnalysis of survey results
Analysis of survey resultsthe-hunger-games
 
Questionnaire analysis
Questionnaire analysisQuestionnaire analysis
Questionnaire analysisAkshata Mishra
 
Genre popularity questionnaire analysis
Genre popularity questionnaire analysisGenre popularity questionnaire analysis
Genre popularity questionnaire analysisAkshata Mishra
 
Questionnaire analysis
Questionnaire analysisQuestionnaire analysis
Questionnaire analysisAkshata Mishra
 
Music Distribution Plan: The Rubies
Music Distribution Plan: The RubiesMusic Distribution Plan: The Rubies
Music Distribution Plan: The RubiesKaylaGossman
 
Researcb audience
Researcb audienceResearcb audience
Researcb audiencetiapeek
 
Music questionnaire2015
Music questionnaire2015Music questionnaire2015
Music questionnaire2015Akshata Mishra
 
Angel Up Front - Media Doc 01
Angel Up Front - Media Doc 01Angel Up Front - Media Doc 01
Angel Up Front - Media Doc 01Stuart Chalmers
 
Contents ideas
Contents ideasContents ideas
Contents ideasramsz001
 
Target Audience Presentation
Target Audience PresentationTarget Audience Presentation
Target Audience PresentationPaige Woods
 
Target audience analysis
Target audience analysisTarget audience analysis
Target audience analysisdemioshea
 
Target Audience Survey
Target Audience SurveyTarget Audience Survey
Target Audience SurveyLydiaNoble
 
Questionnaire analysis for a2
Questionnaire analysis for a2Questionnaire analysis for a2
Questionnaire analysis for a229542rayner
 
Questionnaire results
Questionnaire resultsQuestionnaire results
Questionnaire resultslucy_richmond
 
Betsy Bolte Artists & Labels 2016 LinkedIn
Betsy Bolte Artists & Labels 2016 LinkedInBetsy Bolte Artists & Labels 2016 LinkedIn
Betsy Bolte Artists & Labels 2016 LinkedInBetsy Bolte
 

Was ist angesagt? (20)

Questionnaire 1
Questionnaire 1Questionnaire 1
Questionnaire 1
 
Analysis of survey results
Analysis of survey resultsAnalysis of survey results
Analysis of survey results
 
Questionnaire analysis
Questionnaire analysisQuestionnaire analysis
Questionnaire analysis
 
Genre popularity questionnaire analysis
Genre popularity questionnaire analysisGenre popularity questionnaire analysis
Genre popularity questionnaire analysis
 
VR
VRVR
VR
 
Questionnaire analysis
Questionnaire analysisQuestionnaire analysis
Questionnaire analysis
 
The black keys
The black keysThe black keys
The black keys
 
Music Distribution Plan: The Rubies
Music Distribution Plan: The RubiesMusic Distribution Plan: The Rubies
Music Distribution Plan: The Rubies
 
Analysis
AnalysisAnalysis
Analysis
 
Researcb audience
Researcb audienceResearcb audience
Researcb audience
 
Music questionnaire2015
Music questionnaire2015Music questionnaire2015
Music questionnaire2015
 
Angel Up Front - Media Doc 01
Angel Up Front - Media Doc 01Angel Up Front - Media Doc 01
Angel Up Front - Media Doc 01
 
Contents ideas
Contents ideasContents ideas
Contents ideas
 
Target Audience Presentation
Target Audience PresentationTarget Audience Presentation
Target Audience Presentation
 
Planning production
Planning productionPlanning production
Planning production
 
Target audience analysis
Target audience analysisTarget audience analysis
Target audience analysis
 
Target Audience Survey
Target Audience SurveyTarget Audience Survey
Target Audience Survey
 
Questionnaire analysis for a2
Questionnaire analysis for a2Questionnaire analysis for a2
Questionnaire analysis for a2
 
Questionnaire results
Questionnaire resultsQuestionnaire results
Questionnaire results
 
Betsy Bolte Artists & Labels 2016 LinkedIn
Betsy Bolte Artists & Labels 2016 LinkedInBetsy Bolte Artists & Labels 2016 LinkedIn
Betsy Bolte Artists & Labels 2016 LinkedIn
 

Andere mochten auch

Jackdaw research music survey report
Jackdaw research music survey reportJackdaw research music survey report
Jackdaw research music survey reportJan Dawson
 
Mugo one pager
Mugo one pagerMugo one pager
Mugo one pagerori segal
 
Music Personalization At Spotify
Music Personalization At SpotifyMusic Personalization At Spotify
Music Personalization At SpotifyVidhya Murali
 
Building Data Pipelines for Music Recommendations at Spotify
Building Data Pipelines for Music Recommendations at SpotifyBuilding Data Pipelines for Music Recommendations at Spotify
Building Data Pipelines for Music Recommendations at SpotifyVidhya Murali
 
Playlist Recommendations @ Spotify
Playlist Recommendations @ SpotifyPlaylist Recommendations @ Spotify
Playlist Recommendations @ SpotifyNikhil Tibrewal
 
Scala Data Pipelines @ Spotify
Scala Data Pipelines @ SpotifyScala Data Pipelines @ Spotify
Scala Data Pipelines @ SpotifyNeville Li
 

Andere mochten auch (8)

Jackdaw research music survey report
Jackdaw research music survey reportJackdaw research music survey report
Jackdaw research music survey report
 
Mugo one pager
Mugo one pagerMugo one pager
Mugo one pager
 
Music Personalization At Spotify
Music Personalization At SpotifyMusic Personalization At Spotify
Music Personalization At Spotify
 
Building Data Pipelines for Music Recommendations at Spotify
Building Data Pipelines for Music Recommendations at SpotifyBuilding Data Pipelines for Music Recommendations at Spotify
Building Data Pipelines for Music Recommendations at Spotify
 
Music survey results (2)
Music survey results (2)Music survey results (2)
Music survey results (2)
 
Music & interaction
Music & interactionMusic & interaction
Music & interaction
 
Playlist Recommendations @ Spotify
Playlist Recommendations @ SpotifyPlaylist Recommendations @ Spotify
Playlist Recommendations @ Spotify
 
Scala Data Pipelines @ Spotify
Scala Data Pipelines @ SpotifyScala Data Pipelines @ Spotify
Scala Data Pipelines @ Spotify
 

Ähnlich wie How We Listen to Music - SXSW 2015

What music means to me presentation
What music means to me presentationWhat music means to me presentation
What music means to me presentationFrankieSims
 
WiderWorld2e-student-book-level1-unit5.pdf
WiderWorld2e-student-book-level1-unit5.pdfWiderWorld2e-student-book-level1-unit5.pdf
WiderWorld2e-student-book-level1-unit5.pdfjuanemanuelparra
 
Class intro and project outlines
Class intro and project outlinesClass intro and project outlines
Class intro and project outlinesAshley Junker
 
schomer individual magazine
schomer individual magazineschomer individual magazine
schomer individual magazineMaria Schomer
 
Target Audience Questionnaire Results & Conclusions
Target Audience Questionnaire Results & Conclusions Target Audience Questionnaire Results & Conclusions
Target Audience Questionnaire Results & Conclusions melissalopezasmedia
 
Noah Lennox (a.k.a Panda Bear)
Noah Lennox (a.k.a Panda Bear)Noah Lennox (a.k.a Panda Bear)
Noah Lennox (a.k.a Panda Bear)cloestead
 
Research into music videos
Research into music videosResearch into music videos
Research into music videosScarlett Garland
 
2. Research (FMP).pptx
2. Research (FMP).pptx2. Research (FMP).pptx
2. Research (FMP).pptxArchieDurham
 
Music genre research
Music genre researchMusic genre research
Music genre researchEleanor Round
 
Questionnaire analysis 2
Questionnaire analysis 2Questionnaire analysis 2
Questionnaire analysis 2SaraDevine97
 
Your Questions About Katy Perry Is The Hottest Woman Alive
Your Questions About Katy Perry Is The Hottest Woman AliveYour Questions About Katy Perry Is The Hottest Woman Alive
Your Questions About Katy Perry Is The Hottest Woman AliveArnold Levy
 
Questionnaire analysis
Questionnaire analysisQuestionnaire analysis
Questionnaire analysisSaraDevine97
 
Task 1 a – planning your radio segment
Task 1 a – planning your radio segmentTask 1 a – planning your radio segment
Task 1 a – planning your radio segmentmunirba
 
Task 1 a – planning your radio segment
Task 1 a – planning your radio segmentTask 1 a – planning your radio segment
Task 1 a – planning your radio segmentmunirba
 
Target audience questionnaire results & conclusions
Target audience questionnaire results & conclusionsTarget audience questionnaire results & conclusions
Target audience questionnaire results & conclusionsmelissalopezasmedia
 
presentació Bruno Mars
presentació Bruno Marspresentació Bruno Mars
presentació Bruno MarsJoelBaradad
 

Ähnlich wie How We Listen to Music - SXSW 2015 (20)

What music means to me presentation
What music means to me presentationWhat music means to me presentation
What music means to me presentation
 
WiderWorld2e-student-book-level1-unit5.pdf
WiderWorld2e-student-book-level1-unit5.pdfWiderWorld2e-student-book-level1-unit5.pdf
WiderWorld2e-student-book-level1-unit5.pdf
 
Class intro and project outlines
Class intro and project outlinesClass intro and project outlines
Class intro and project outlines
 
schomer individual magazine
schomer individual magazineschomer individual magazine
schomer individual magazine
 
3. copy
3. copy3. copy
3. copy
 
Target Audience Questionnaire Results & Conclusions
Target Audience Questionnaire Results & Conclusions Target Audience Questionnaire Results & Conclusions
Target Audience Questionnaire Results & Conclusions
 
Noah Lennox (a.k.a Panda Bear)
Noah Lennox (a.k.a Panda Bear)Noah Lennox (a.k.a Panda Bear)
Noah Lennox (a.k.a Panda Bear)
 
Research into music videos
Research into music videosResearch into music videos
Research into music videos
 
2. Research (FMP).pptx
2. Research (FMP).pptx2. Research (FMP).pptx
2. Research (FMP).pptx
 
Music genre research
Music genre researchMusic genre research
Music genre research
 
Questionnaire analysis 2
Questionnaire analysis 2Questionnaire analysis 2
Questionnaire analysis 2
 
Your Questions About Katy Perry Is The Hottest Woman Alive
Your Questions About Katy Perry Is The Hottest Woman AliveYour Questions About Katy Perry Is The Hottest Woman Alive
Your Questions About Katy Perry Is The Hottest Woman Alive
 
Questionnaire analysis
Questionnaire analysisQuestionnaire analysis
Questionnaire analysis
 
Task 1 a – planning your radio segment
Task 1 a – planning your radio segmentTask 1 a – planning your radio segment
Task 1 a – planning your radio segment
 
Task 1 a – planning your radio segment
Task 1 a – planning your radio segmentTask 1 a – planning your radio segment
Task 1 a – planning your radio segment
 
Target audience questionnaire results & conclusions
Target audience questionnaire results & conclusionsTarget audience questionnaire results & conclusions
Target audience questionnaire results & conclusions
 
presentació Bruno Mars
presentació Bruno Marspresentació Bruno Mars
presentació Bruno Mars
 
My favourite song
My favourite songMy favourite song
My favourite song
 
Article final
Article finalArticle final
Article final
 
Song Analysis Essay Example
Song Analysis Essay ExampleSong Analysis Essay Example
Song Analysis Essay Example
 

Mehr von Paul Lamere

Sxsw 2015 - How we listen to music
Sxsw 2015 - How we listen to musicSxsw 2015 - How we listen to music
Sxsw 2015 - How we listen to musicPaul Lamere
 
Echo nest-api-boston-2012
Echo nest-api-boston-2012Echo nest-api-boston-2012
Echo nest-api-boston-2012Paul Lamere
 
Data Mining Music
Data Mining MusicData Mining Music
Data Mining MusicPaul Lamere
 
Finding Music With Pictures: Using Visualization for Discovery
Finding Music With Pictures: Using Visualization for DiscoveryFinding Music With Pictures: Using Visualization for Discovery
Finding Music With Pictures: Using Visualization for DiscoveryPaul Lamere
 
The Echo Nest workshop for Boston Music Hack Day
The Echo Nest workshop for Boston Music Hack DayThe Echo Nest workshop for Boston Music Hack Day
The Echo Nest workshop for Boston Music Hack DayPaul Lamere
 
Using Visualizations for Music Discovery
Using Visualizations for Music DiscoveryUsing Visualizations for Music Discovery
Using Visualizations for Music DiscoveryPaul Lamere
 
Help! My iPod thinks I'm emo.
Help! My iPod thinks I'm emo.Help! My iPod thinks I'm emo.
Help! My iPod thinks I'm emo.Paul Lamere
 
Social Tags and Music Information Retrieval (Part I)
Social Tags and Music Information Retrieval (Part I)Social Tags and Music Information Retrieval (Part I)
Social Tags and Music Information Retrieval (Part I)Paul Lamere
 
Social Tags and Music Information Retrieval (Part II)
Social Tags and Music Information Retrieval (Part II)Social Tags and Music Information Retrieval (Part II)
Social Tags and Music Information Retrieval (Part II)Paul Lamere
 

Mehr von Paul Lamere (9)

Sxsw 2015 - How we listen to music
Sxsw 2015 - How we listen to musicSxsw 2015 - How we listen to music
Sxsw 2015 - How we listen to music
 
Echo nest-api-boston-2012
Echo nest-api-boston-2012Echo nest-api-boston-2012
Echo nest-api-boston-2012
 
Data Mining Music
Data Mining MusicData Mining Music
Data Mining Music
 
Finding Music With Pictures: Using Visualization for Discovery
Finding Music With Pictures: Using Visualization for DiscoveryFinding Music With Pictures: Using Visualization for Discovery
Finding Music With Pictures: Using Visualization for Discovery
 
The Echo Nest workshop for Boston Music Hack Day
The Echo Nest workshop for Boston Music Hack DayThe Echo Nest workshop for Boston Music Hack Day
The Echo Nest workshop for Boston Music Hack Day
 
Using Visualizations for Music Discovery
Using Visualizations for Music DiscoveryUsing Visualizations for Music Discovery
Using Visualizations for Music Discovery
 
Help! My iPod thinks I'm emo.
Help! My iPod thinks I'm emo.Help! My iPod thinks I'm emo.
Help! My iPod thinks I'm emo.
 
Social Tags and Music Information Retrieval (Part I)
Social Tags and Music Information Retrieval (Part I)Social Tags and Music Information Retrieval (Part I)
Social Tags and Music Information Retrieval (Part I)
 
Social Tags and Music Information Retrieval (Part II)
Social Tags and Music Information Retrieval (Part II)Social Tags and Music Information Retrieval (Part II)
Social Tags and Music Information Retrieval (Part II)
 

Kürzlich hochgeladen

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessPixlogix Infotech
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Igalia
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024Results
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 

Kürzlich hochgeladen (20)

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 

How We Listen to Music - SXSW 2015

  • 1. How we listen to music Paul Lamere SXSW March 17, 2015 #HowListen
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8. The Awesome Chart Explorer
  • 9. Charts move into the digital age #HowListen
  • 10.
  • 11.
  • 12.
  • 13.
  • 17. What do we know about the user? Age Gender Country All user data anonymized
  • 19. Spotify age demographics Percentage 0 10 20 30 40 Age range 0-12 13-17 18-24 25-34 35-44 45-54 55+
  • 20. Demographic charts What are the kids listening to these days? #HowListen
  • 21. 1. Hate Bein' Sober - Chief Keef 2. Marijuana - Kid Cudi 3. Buried Alive - Logic 4. Prayer Of The Refugee - Rise Against 5. Opposite Of Adults - Chiddy Bang Distinctive tracks for an 18 year old US male
  • 22. 1. Ride - SoMo 2. Young Blood - Bea Miller 3. How To Be A Heartbreaker - Marina and The Diamonds 4. Voodoo Doll - 5 Seconds Of Summer 5. House Party - Sam Hunt Distinctive tracks for an 18 year old US female
  • 23. 1. L.A.LOVE (la la) - Fergie 2. I Loved You - Blonde 3. Changing - Sigma 4. Let Her Go - Passenger 5. Promesses - Tchami Distinctive tracks for an 18 year old UK female
  • 24. 1. Bad Moon Rising - Creedence Clearwater Revival 2. Gimme Shelter - The Rolling Stones 3. Into The Mystic - Van Morrison 4. Fire And Rain - James Taylor Distinctive tracks for a 55 year old US male
  • 25. How much music do we listen to? How many artists and songs do we really listen to in a year? #HowListen
  • 26. What was on your iPod? 2006 study Songs on your iPod 3,542 Active songs in your iPod 1,274 Never played 64% 2011 study Songs on your iPod 5,409 Active songs in your iPod 1,214 Never played 78% iTunes Registry Music WithMe
  • 27. One Year on Spotify - 55 year-old male track listening 1309 unique tracks listened to in a year 155 tracks in heavy rotation in a year
  • 28. One Year on Spotify - 55 year-old male artist listening 363 artists listened to in a year 53 artists in rotation in a year
  • 29. One Year on Spotify - 12-17 year-old female artist listening 390 artists listened to in a year 69 artists in rotation in a year
  • 30. What is in your Spotify? 55+ year old males Tracks in heavy rotation 155 Unique tracks played 1,309 Average plays per year 3,054 Artists in heavy rotation 53 Unique artists played 362 12-17 year old females Tracks in heavy rotation 240 Unique tracks played 1,251 Average plays per year 4,823 Artists in heavy rotation 69 Unique artists played 390
  • 31. 1. Led Zeppelin 2. Miles Davis 3. Bob Dylan 4. Bruce Springsteen 5. Eric Clapton First artist listened to by a 55 year-old male
  • 32. 1. One Direction 2. Beyoncé 3. Miley Cyrus 4. A Great Big World 5. Katy Perry First artist listened to by a 12-17 year-old female
  • 34. What do you play when you play a track? The Track The Album The Artists The Artists The Artists The Artists The Artists The Genres The Context search playlist radio
  • 35. 1. He's A Tramp - Peggy Lee 2. The Siamese Cat Song - Si and Am 3. I Wan'na Be Like You - Louis Prima 4. Singin' In The Rain- Gene Kelly 5. When You Wish Upon A Star - Louis Armstrong Distinctive jazz tracks for a 12-17 year old female
  • 37. Growth Charts What’s climbing, what’s falling? #HowListen
  • 38. Listener growth Carly Rae Jepsen Selena Gomez Kanye West Major Lazer
  • 39. Demographic charts for specific time of day How does our listening change over the course of a day? #HowListen
  • 40. 1. Pink Moon- Nick Drake 2. Wild World - Cat Stevens 3. Shine - Benjamin Francis Leftwich 4. Banner (Acoustic) - LIGHTS 5. You've Got A Friend - James Taylor Distinctive morning tracks for a 55+ year old female
  • 41. 1. Healing Sleep Music - Deep Sleep 2. Sleep Music - Binaural Beats Brainwave Entrainmen 3. Secret Zen - Classical Piano Music for Zen Meditation 4. 2/1 - 2004 Digital Remaster Brian Eno 5. Nocturne Best Studying Music- Calming Baby Sleep Music Club Distinctive late night tracks for a 55+ year old female
  • 42. Exploring the rhythms of a city with music these little town blues #HowListen
  • 43. One week of listening in NewYork City
  • 44. One day of listening in NewYork City
  • 45. One day of listening in NewYork City
  • 46. One day of listening in London
  • 47. Quiz: What day is this?
  • 48. Spotify Listening on NewYear’s Eve in NewYork City
  • 49. 1. Uptown Funk - Mark Ronson 2. Auld Lang Syne - Susan Boyle 3. I Don't Fuck With You - Big Sean 4. Theme from New York, New York - Frank Sinatra 5. Auld Lang Syne - Mariah Carey Top tracks played first in 2015
  • 50. NewYear’s Eve Listening in five cities
  • 51. NewYear’s Eve Listening in five cities
  • 52. Superbowl Sunday Listening - February 2015
  • 53. Music Analytics for Science Comet 67P/Churymov-Gerasimenko #HowListen
  • 54. Strange spikes detected “Don’t want to miss a thing” -Aerosmith Robotic lander Philae touched down on Comet 67P “Close Shave” with Asteroid 2012 DA1 ‘Potentially Hazardous Asteroid’ EM26 approaches Rosetta spacecraft orbits Coment 67P September Pi Orionids Philae landing site selected
  • 55. This was the headline … https://insights.spotify.com/us/2014/11/21/aerosmith-rosetta-comet/
  • 56. But maybe the headline should have been … https://insights.spotify.com/us/2014/11/21/aerosmith-rosetta-comet/
  • 58.
  • 59.
  • 60.
  • 61. The sounds of the city Distinctive listening by City #HowListen
  • 62. The Sound of New Orleans • Cassanova-RebirthBrassBand • AllOnAMardiGrasDay-TheWildMagnolias • MardiGrasInNewOrleans-ProfessorLonghair • IFeelLikeFunkin'ItUp-ExtendedMix-RebirthBrassBand
  • 63. The Sound of Nashville • CoverMeUp-JasonIsbell • SheLitAFire-LordHuron • TurtlesAlltheWayDown-SturgillSimpson • Sedona-Houndmouth
  • 64. The Sound of Laredo • SomeoneElseCallingYouBaby-LukeBryan • TeLlevare-Siggno • ¿PorQuéMeHacesLlorar?-JuanGabriel • Aire-Intocable
  • 65. Musical imports and exports •Drake •SamSmith •alt-j •Sia
  • 66. Musical imports and exports • OfMonstersandMen • ÓlafurArnalds • SigurRós • Björk
  • 67. Top Icelandic artist local favorites • BubbiMorthens • Hjálmar • Valdimar • GusGus
  • 68.
  • 70. How we listen in different contexts Your favorite coffeehouse #HowListen
  • 71. One week of listening in NewYork CIty
  • 73. Normalized US Coffee Listening
  • 75. Normalized US Party Listening
  • 76. Finding artists with passionate fans Using replays, tracks in rotation and plays per fan #HowListen
  • 77. Replays vs. the Age of the track - top 1,000 most popular songs Let it Go Intro - the XX Are You With Me River Flows In You All Day
  • 78. 1. Box Fan Sound 2. White Noise 3. Waterfall 4. Brown Noise 5. Pouring Rain Most replayed deep tracks
  • 79. Average artist tracks per fan Grateful Dead Glee Cast Banda Sinaloense Pierce the Veil
  • 80. Artist passion by plays per fan Grateful Dead Glee Cast Banda Sinaloense Pierce the Veil
  • 81. Finding song hot spots based upon listening behavior Some experimental work #HowListen
  • 82. Most ‘interesting’ bit at 3:29 to 3:45 Finding the hot spots in “In the air tonight”
  • 83. Song cool spot: The psychedelic interlude Song hot spot: The Guitar solo Finding the hot spots in “Whole Lotta Love”
  • 84. Hot spot: Synth Chorus Cool spot: After the drop Last Hot Spot: “And it’s over” Finding the hot spots in “Raise your weapon”
  • 86. Top playlist names on Spotify Rap Country House Rock Music Chill Party Workout Gym Roadtrip Context is the new genre 17 of the top 100 playlist names are genre related 41 of the top 100 playlist names are context related
  • 87. Top context-related playlists Chill Party Workout Relax Gym Dance Sleep Pregame Car Feel Good Roadtrip Summer Work Study Sex Pump up Night Drive Training Gaming Shower Ski Snowboarding Cafe Homework Twerk On the road Motivation School 420 Dinner Running Friends Sad XC School Yoga Winter Coffee Sleepy Flow Girls Night Commute Drinking Crossfit Break Up Inspiration Smoking Romance Afterski Preparty Beach Cardio Hike Fly Afternoon Happiness Training Walk Predrinks Office Cry Wake up Travel Fitness Focus Cleaning Cruising Lifting Evening Rainy Day Autumn Train Love Worship Depression Morning
  • 88. Training and workout Chill Party Workout Relax Gym Dance Sleep Pregame Car Feel Good Roadtrip Summer Work Study Sex Pump up Night Drive Training Gaming Shower Ski Snowboarding Cafe Homework Twerk On the road Motivation School 420 Dinner Running Friends Sad XC School Yoga Winter Coffee Sleepy Flow Girls Night Commute Drinking Crossfit Break Up Inspiration Smoking Romance Afterski Preparty Beach Cardio Hike Fly Afternoon Happiness Training Walk Predrinks Office Cry Wake up Travel Fitness Focus Cleaning Cruising Lifting Evening Rainy Day Autumn Train Love Worship Depression Morning
  • 89. Mood Chill Party Workout Relax Gym Dance Sleep Pregame Car Feel Good Roadtrip Summer Work Study Sex Pump up Night Drive Training Gaming Shower Ski Snowboarding Cafe Homework Twerk On the road Motivation School 420 Dinner Running Friends Sad XC School Yoga Winter Coffee Sleepy Flow Girls Night Commute Drinking Crossfit Break Up Inspiration Smoking Romance Afterski Preparty Beach Cardio Hike Fly Afternoon Happiness Training Walk Predrinks Office Cry Wake up Travel Fitness Focus Cleaning Cruising Lifting Evening Rainy Day Autumn Train Love Worship Depression Morning
  • 90. Travel Chill Party Workout Relax Gym Dance Sleep Pregame Car Feel Good Roadtrip Summer Work Study Sex Pump up Night Drive Training Gaming Shower Ski Snowboarding Cafe Homework Twerk On the road Motivation School 420 Dinner Running Friends Sad XC School Yoga Winter Coffee Sleepy Flow Girls Night Commute Drinking Crossfit Break Up Inspiration Smoking Romance Afterski Preparty Beach Cardio Hike Fly Afternoon Happiness Training Walk Predrinks Office Cry Wake up Travel Fitness Focus Cleaning Cruising Lifting Evening Rainy Day Autumn Train Love Worship Depression Morning
  • 91. Romance Chill Party Workout Relax Gym Dance Sleep Pregame Car Feel Good Roadtrip Summer Work Study Sex Pump up Night Drive Training Gaming Shower Ski Snowboarding Cafe Homework Twerk On the road Motivation School 420 Dinner Running Friends Sad XC School Yoga Winter Coffee Sleepy Flow Girls Night Commute Drinking Crossfit Break Up Inspiration Smoking Romance Afterski Preparty Beach Cardio Hike Fly Afternoon Happiness Training Walk Predrinks Office Cry Wake up Travel Fitness Focus Cleaning Cruising Lifting Evening Rainy Day Autumn Train Love Worship Depression Morning
  • 92. Time Chill Party Workout Relax Gym Dance Sleep Pregame Car Feel Good Roadtrip Summer Work Study Sex Pump up Night Drive Training Gaming Shower Ski Snowboarding Cafe Homework Twerk On the road Motivation School 420 Dinner Running Friends Sad XC School Yoga Winter Coffee Sleepy Flow Girls Night Commute Drinking Crossfit Break Up Inspiration Smoking Romance Afterski Preparty Beach Cardio Hike Fly Afternoon Happiness Training Walk Predrinks Office Cry Wake up Travel Fitness Focus Cleaning Cruising Lifting Evening Rainy Day Autumn Train Love Worship Depression Morning
  • 93. Focus Chill Party Workout Relax Gym Dance Sleep Pregame Car Feel Good Roadtrip Summer Work Study Sex Pump up Night Drive Training Gaming Shower Ski Snowboarding Cafe Homework Twerk On the road Motivation School 420 Dinner Running Friends Sad XC School Yoga Winter Coffee Sleepy Flow Girls Night Commute Drinking Crossfit Break Up Inspiration Smoking Romance Afterski Preparty Beach Cardio Hike Fly Afternoon Happiness Training Walk Predrinks Office Cry Wake up Travel Fitness Focus Cleaning Cruising Lifting Evening Rainy Day Autumn Train Love Worship Depression Morning
  • 94. Socializing Chill Party Workout Relax Gym Dance Sleep Pregame Car Feel Good Roadtrip Summer Work Study Sex Pump up Night Drive Training Gaming Shower Ski Snowboarding Cafe Homework Twerk On the road Motivation School 420 Dinner Running Friends Sad XC School Yoga Winter Coffee Sleepy Flow Girls Night Commute Drinking Crossfit Break Up Inspiration Smoking Romance Afterski Preparty Beach Cardio Hike Fly Afternoon Happiness Training Walk Predrinks Office Cry Wake up Travel Fitness Focus Cleaning Cruising Lifting Evening Rainy Day Autumn Train Love Worship Depression Morning
  • 95. Let’s find music for a particular context by mining tracks from the 1.5 billion existing playlists “Create a playlist of mainstream tracks good for running for an 55 year-old male” Context is important, but … Context is hard!
  • 96.
  • 97. The Playlist Miner Query: Distinctive mainstream running songs for 55+ year-old male tuesday run fast run running songs for my run running tunes morning run running 1.5 Billion Playlists 10,000 running playlists “running”
  • 98. The Playlist Miner Query: Distinctive mainstream running songs for 55+ year-old male ay run fast run running songs for my run running tunes morning run running running playlists aggregate tracks 100,000 ranked running songs 1. R 2. B 3. G 4. E 5. I Filter tracks by demographics, popularity, etc.
  • 99. The Playlist Miner Query: Distinctive mainstream running songs for 55+ year-old male 1. Running on Empty - Jackson Browne 2. Born to Run - Bruce Springsteen 3. Gonna Fly Now (Rocky) - Bill Conti 4. Eye of the Tiger - Survivor 5. I Ran (So Far Away) - Flock of Seagulls Filter tracks by demographics, popularity, etc.
  • 100. 1. Running on Empty - Jackson Browne 2. Born to Run - Bruce Springsteen 3. Gonna Fly Now (Rocky) - Bill Conti 4. Eye of the Tiger - Survivor 5. I Ran (So Far Away) - Flock of Seagulls Top 55+ year-old male Running tracks Two old ladies are lying in a bed - Army Rangers Hyper-distinctive 55+ male running track:
  • 101. Top 18-24 year-old female Running tracks 1. Runaway Baby - Bruno Mars 2. I Just Wanna Run - The Downtown Fiction 3. Stronger - Kelly Clarkson 4. Fighter - Christina Aguilera 5. Every chance we get we run - David Guetta
  • 102. 1. On the Road Again - Willie Nelson 2. Running On Empty - Jackson Browne 3. Radar Love - Golden Earring 4. On the Road Again - Canned Heat 5. Ventura Highway - America Top 55+ year-old male Roadtrip tracks
  • 103. 1. All Summer Long - Kid Rock 2. Beautiful Life - Union J 3. Superbad - Jesse McCarthy 4. Ride - JTR 5. Rockstar - A Great Big World Top 18-24 year-old female Roadtrip tracks
  • 104. 1. Love Me - The Little Willies 2. Let’s Get it On - Marvin Gaye 3. A Whiter Shade of Pale - Procol Harum 4. Nobody Does it Better - Carly Simon 5. You’ll Never Find Another Love Like Mine - Lou Rawls Top 55+ year-old male Sexy Time tracks
  • 105. 1. Love Faces - Trey Songz 2. Take You Down - Chris Brown 3. Dive In - Trey Songz 4. Birthday Sex - Jeremih 5. Kisses Down Low - Kelly Rowland Top 18-24 year-old female Sexy Time tracks
  • 106. 1. Cry Like a Baby - The Box Tops 2. The Heart of the Matter - Don Henley 3. Crying in the Rain - The Everly Brothers 4. Crying - Roy Orbison 5. Always on my Mind - Willie Nelson Top 55+ year-old male Break Up tracks
  • 107. 1. F*ck It (I Don’t Want You Back) - Eamon 2. Too Little, Too Late - JoJo 3. Potential BreakUp Song - Aly & AJ 4. Since U Been Gone - Kelly Clarkson 5. Leave (Get Out) - JoJo Top 18-24 year-old female Break Up tracks
  • 108. Making charts personal Your year in music #HowListen
  • 109.
  • 110.
  • 111.
  • 112.
  • 113.
  • 114.
  • 115.
  • 116.
  • 117.
  • 118.
  • 119.
  • 120.
  • 122. How we listen to music Paul Lamere @plamere #HowListen http://spoti.fi/HowListen Resources: