SlideShare ist ein Scribd-Unternehmen logo
1 von 11
Downloaden Sie, um offline zu lesen
Next	
  Genera*on	
  Social	
  Audience	
  Data	
  
	
  
Confidential /
What	
  Nielsen®	
  does	
  for	
  television	
  and	
  radio,	
  what	
  
comScore®	
  does	
  for	
  web	
  traffic—that’s	
  what	
  we	
  do	
  for	
  
social	
  media	
  
	
  
Proprietary	
  demographic	
  and	
  psychographic	
  social	
  
audience	
  data	
  
	
  
Largest	
  social	
  iden*ty	
  data	
  set	
  in	
  market	
  -­‐	
  7	
  years	
  
collec*ng	
  and	
  matching	
  public	
  social	
  data	
  across	
  sixty	
  
social	
  networks*	
  
	
  
WHO	
  WE	
  ARE	
  
*PeekAnaly*cs	
  accesses	
  TwiKer	
  data	
  by	
  way	
  of	
  DatasiL	
  
Confidential /
Insights	
  available	
  for	
  any	
  social	
  audience	
  include:	
  
•  Age	
  (Nielsen	
  and	
  IAB	
  segments)	
  
•  Geo-­‐loca*on	
  (City,	
  State,	
  Country,	
  Nielsen	
  DMA)	
  
•  Income	
  (IAB	
  income	
  segments)	
  
•  Industry	
  
•  Educa*on	
  
•  Social	
  Graph	
  Ac*vity	
  (influence,	
  impressions)	
  
•  Interest	
  (370	
  IAB	
  categories)	
  
•  Brand	
  affinity	
  (5000	
  brands)	
  
•  TV	
  show	
  affinity	
  (350	
  TV	
  shows)	
  
•  Celebrity	
  affinity	
  (20K	
  celebri*es)	
  
WHAT	
  WE	
  DO	
  
Confidential /
Cross	
  Silo	
  Data	
  -­‐	
  Patented	
  technology	
  that	
  goes	
  way	
  
beyond	
  standard	
  TwiKer	
  engagement	
  metrics	
  
	
  
	
  
Census	
  level	
  analysis	
  –	
  over	
  200mm	
  social	
  consumers	
  in	
  
the	
  database.	
  	
  Fully	
  scalable	
  -­‐	
  not	
  dependent	
  on	
  opt-­‐in	
  
consumers	
  to	
  grow	
  the	
  dataset	
  
	
  
	
  
COMPETITIVE	
  ADVANTAGE	
  
DATA	
  DRIVEN	
  DECISIONS	
  
Confidential /
SALES	
   MARKETING	
   DEVELOPERS	
  
•Report	
  social	
  audiences	
  
back	
  to	
  clients	
  
•Research	
  compe**ve	
  
landscape	
  for	
  a	
  pitch	
  
•Track	
  and	
  sell	
  more	
  
sponsored	
  na*ve	
  content	
  
based	
  on	
  data	
  
•Social	
  audience	
  tracking	
  pre	
  
and	
  post	
  campaigns	
  
•Easily	
  research	
  and	
  design	
  
influencer	
  programs	
  
•Understand	
  and	
  rank	
  
compe*tors	
  for	
  campaigns	
  
	
  
•Integrate	
  data	
  into	
  complex	
  
systems	
  	
  
•Append	
  data	
  into	
  marke*ng	
  
and	
  adver*sing	
  plaborms	
  
•Augment	
  CRM	
  systems	
  with	
  
the	
  data	
  
Confidential /
AFFINITY	
  FOR	
  TOP-­‐350	
  TV	
  SHOWS	
  
24% of people who follow @Nike like ESPN
Sportscenter, which is 3.1x the national
average.
4.1% of people who talk about the Nike+
Fuelband like CNN Headline News (1.2x US
average) . 12.7% like the Walking Dead (.9x the
US average).
34% of the audience that follow
@sundancechannel are interested in the
Conan O’Brien show, 2.3x the US average.
People who tweet about Travel Channel shows
are 3.7x more likely to be a brand fan of
Carnival Cruise Lines. People who tweet about
National Geographic are 2.1x more likely to be
Carnival Cruise Line brand fans.
Confidential /
AFFINITY	
  FOR	
  5000	
  CONSUMER	
  BRANDS	
  
6.4% of people who tweet about American Idol
are Ford brand fans, which is 40% lower than the
US average. 7.2% of these same people are
Hyundai brand fans, 80% greater than average.
4.3% of people who tweet about #MTVEMA are
Chanel brand fans, which is about 3.6x greater
than the average.
Confidential /
AFFINITY	
  FOR	
  20,000	
  CELEBRITIES	
  
31% of people who talk
about Nivea products also
like Rihanna, which is 1.4x
greater than the US
average. Rihanna’s fans are
7.7x more likely to be
Clinique brand fans.
53% of Justin Timberlake’s
Twitter followers also like
Rhianna, 2.4x the US
average.
43% of people tweeting
About the MTV Music awards
like Miley Cyrus, which makes
them 3x more likely to be fans.
Miley’s fans are 3.6x more likely
to be Clinique brand fans than
average. They are .6x (40% less
than average) likely to be
interested in luxury auto brands.
29% of people tweeting
World War Z in 2013 are fans
Brad Pitt, 1.8x greater than
average. 25% of people who
tweeted positively about
Moneyball like Brad Pitt, 1.5x
greater than average.
Brad’s fans are 67% female, 33%
male. 24% earn over $100K/yr.
Confidential /
370	
  IAB	
  INTERESTS	
  CATEGORIES	
  
17% of people who Tweet
about the Grammy’s like
Books & Literature, 1.3x
greater than average.
4.2% of Ashton Kutcher’s
followers are interested in
career planning, 50%
greater than the US
average.
People who are interested in
arts & crafts are 4.5x more
likely than average to like
The Middle on ABC.
14% of people tweeting
about Agents of S.H.I.E.L.D.
like Mexican food, 3x the US
average.
Confidential /
GEO-­‐LOCATION	
  INSIGHTS	
  BY	
  NIELSEN	
  DMA	
  LEVEL	
  
Current	
  reports	
  show	
  top	
  ci*es,	
  states	
  and	
  countries	
  
Next	
  Genera*on	
  insights	
  will	
  offer	
  DMA	
  level	
  geo-­‐
loca*on	
  
6% of people talking about tax prep
software are from the New York DMA, which
is 1.1x the US average.
10% of people talking about the Weather
Channel in the Chicago DMA, also like LL
Bean, which is 3.4x the Chicago DMA
average.
33% of the people talking about the
Republican party inside the Los Angeles
DMA, are more likely to like sports (1.2x),
art (2.1x) and movies (1.3x).
Confidential /
GEOFENCE	
  THE	
  SOCIAL	
  AUDIENCE	
  
Capture	
  and	
  analyze	
  all	
  social	
  data	
  within	
  defined	
  
borders	
  (lat/long	
  coordinates)	
  
64% of people tweeting from Times Square
are from New York, New Jersey, or
Connecticut. 8% are from the UK. 4% went
to a tier-1 university. 6% are Jeep brand
fans. 7% like watching Breaking Bad.
52% of the people tweeting from the
Westfield Paramus Mall make between
$50,000-$100,000 and are more likely to
like movies theatres (3.2x), family travel
(1.5x) and Teen Wolf on MTV (3.7x).
25% of the people tweeting from the MetLife
Stadium at the Superbowl were male and
were between the ages of 26-35.

Weitere ähnliche Inhalte

Was ist angesagt?

Was ist angesagt? (7)

QSR Facebook Page Analysis
QSR Facebook Page AnalysisQSR Facebook Page Analysis
QSR Facebook Page Analysis
 
Music Ally NumberCrunch - July 2010
Music Ally NumberCrunch - July 2010Music Ally NumberCrunch - July 2010
Music Ally NumberCrunch - July 2010
 
The social candidacy
The social candidacyThe social candidacy
The social candidacy
 
The Data Behind Distributed Content
The Data Behind Distributed ContentThe Data Behind Distributed Content
The Data Behind Distributed Content
 
ShareThis Canadian Millennials Study_2015
ShareThis Canadian Millennials Study_2015ShareThis Canadian Millennials Study_2015
ShareThis Canadian Millennials Study_2015
 
African
AfricanAfrican
African
 
2015 Latino Summit: Communicating Your Message Effectively
2015 Latino Summit: Communicating Your Message Effectively2015 Latino Summit: Communicating Your Message Effectively
2015 Latino Summit: Communicating Your Message Effectively
 

Ähnlich wie Pitch deck

Value digital newspaper
Value digital newspaperValue digital newspaper
Value digital newspaper
Ralph Paglia
 
The Digital Revolution: A Look Throu gh the Marketer’s Lens
The Digital Revolution: A Look Throu gh the Marketer’s LensThe Digital Revolution: A Look Throu gh the Marketer’s Lens
The Digital Revolution: A Look Throu gh the Marketer’s Lens
Habemus Digital Consultants
 
Richard Edelman Jul 5th 2007
Richard Edelman   Jul 5th 2007Richard Edelman   Jul 5th 2007
Richard Edelman Jul 5th 2007
Luca Colombo
 
NRB Research Symposium - Howard Goldberg
NRB Research Symposium - Howard GoldbergNRB Research Symposium - Howard Goldberg
NRB Research Symposium - Howard Goldberg
robertmcfarland
 

Ähnlich wie Pitch deck (20)

Value digital newspaper
Value digital newspaperValue digital newspaper
Value digital newspaper
 
3 most dangerous trends facing businesses and what one can do about them.
3 most dangerous trends facing businesses and what one can do about them.3 most dangerous trends facing businesses and what one can do about them.
3 most dangerous trends facing businesses and what one can do about them.
 
Citizen 2.0
Citizen 2.0Citizen 2.0
Citizen 2.0
 
Hyper Local Online Advertising
Hyper Local Online AdvertisingHyper Local Online Advertising
Hyper Local Online Advertising
 
Ten benefits to newspaper webinar
Ten benefits to newspaper webinarTen benefits to newspaper webinar
Ten benefits to newspaper webinar
 
The Digital Revolution: A Look Throu gh the Marketer’s Lens
The Digital Revolution: A Look Throu gh the Marketer’s LensThe Digital Revolution: A Look Throu gh the Marketer’s Lens
The Digital Revolution: A Look Throu gh the Marketer’s Lens
 
Sports Properties and Social Media
Sports Properties and Social MediaSports Properties and Social Media
Sports Properties and Social Media
 
Richard Edelman Jul 5th 2007
Richard Edelman   Jul 5th 2007Richard Edelman   Jul 5th 2007
Richard Edelman Jul 5th 2007
 
PR in a changing world
PR in a changing worldPR in a changing world
PR in a changing world
 
Yahoo
YahooYahoo
Yahoo
 
NRB Research Symposium - Howard Goldberg
NRB Research Symposium - Howard GoldbergNRB Research Symposium - Howard Goldberg
NRB Research Symposium - Howard Goldberg
 
Eric Gertler
Eric GertlerEric Gertler
Eric Gertler
 
Ihop
IhopIhop
Ihop
 
Media Trends in America. Past, Present and Future--Duane "DJ" Sprague
Media Trends in America. Past, Present and Future--Duane "DJ" SpragueMedia Trends in America. Past, Present and Future--Duane "DJ" Sprague
Media Trends in America. Past, Present and Future--Duane "DJ" Sprague
 
1-Face-PPT
1-Face-PPT1-Face-PPT
1-Face-PPT
 
Integrating Traditional and Digital Media in a Digital World with Ron Hill of...
Integrating Traditional and Digital Media in a Digital World with Ron Hill of...Integrating Traditional and Digital Media in a Digital World with Ron Hill of...
Integrating Traditional and Digital Media in a Digital World with Ron Hill of...
 
PMM HTS 2016
PMM HTS 2016PMM HTS 2016
PMM HTS 2016
 
Cynthia Evans Mediaedge Consumer Comm Integration
Cynthia Evans Mediaedge Consumer Comm IntegrationCynthia Evans Mediaedge Consumer Comm Integration
Cynthia Evans Mediaedge Consumer Comm Integration
 
Go Local Online. Nationally.
Go Local Online. Nationally.Go Local Online. Nationally.
Go Local Online. Nationally.
 
Magazines lecture notes com130
Magazines lecture notes com130Magazines lecture notes com130
Magazines lecture notes com130
 

Mehr von Kaitlin Atkinson

Oracle of roi say it's a datanalian affair
Oracle of roi say it's a datanalian affairOracle of roi say it's a datanalian affair
Oracle of roi say it's a datanalian affair
Kaitlin Atkinson
 
Final project survival guide
Final project survival guideFinal project survival guide
Final project survival guide
Kaitlin Atkinson
 
Peek analytics social audience reports ddcoletti _
Peek analytics social audience reports ddcoletti _Peek analytics social audience reports ddcoletti _
Peek analytics social audience reports ddcoletti _
Kaitlin Atkinson
 
Peek analytics social audience reports espnresearch _
Peek analytics social audience reports espnresearch _Peek analytics social audience reports espnresearch _
Peek analytics social audience reports espnresearch _
Kaitlin Atkinson
 
Kaushanksy follower report
Kaushanksy follower reportKaushanksy follower report
Kaushanksy follower report
Kaitlin Atkinson
 
Havas media follower report
Havas media follower reportHavas media follower report
Havas media follower report
Kaitlin Atkinson
 
PeekAnalytics #pivotcon Audience Report Oct 15 2012
PeekAnalytics #pivotcon Audience Report Oct 15 2012PeekAnalytics #pivotcon Audience Report Oct 15 2012
PeekAnalytics #pivotcon Audience Report Oct 15 2012
Kaitlin Atkinson
 
Peek analytics digiday brand conference report
Peek analytics digiday brand conference reportPeek analytics digiday brand conference report
Peek analytics digiday brand conference report
Kaitlin Atkinson
 
Peek analytics social audience reports blogwell aggregate-_sep_13_2012
Peek analytics social audience reports blogwell aggregate-_sep_13_2012Peek analytics social audience reports blogwell aggregate-_sep_13_2012
Peek analytics social audience reports blogwell aggregate-_sep_13_2012
Kaitlin Atkinson
 
#techdrinkup shared report
#techdrinkup shared report#techdrinkup shared report
#techdrinkup shared report
Kaitlin Atkinson
 
@USATODAYSports Follower Report
@USATODAYSports Follower Report@USATODAYSports Follower Report
@USATODAYSports Follower Report
Kaitlin Atkinson
 

Mehr von Kaitlin Atkinson (17)

Above Live Powerpoint
Above Live PowerpointAbove Live Powerpoint
Above Live Powerpoint
 
@Coach Report
@Coach Report@Coach Report
@Coach Report
 
COACH
COACHCOACH
COACH
 
Oracle of roi say it's a datanalian affair
Oracle of roi say it's a datanalian affairOracle of roi say it's a datanalian affair
Oracle of roi say it's a datanalian affair
 
Final project survival guide
Final project survival guideFinal project survival guide
Final project survival guide
 
Peek analytics social audience reports ddcoletti _
Peek analytics social audience reports ddcoletti _Peek analytics social audience reports ddcoletti _
Peek analytics social audience reports ddcoletti _
 
Peek analytics social audience reports espnresearch _
Peek analytics social audience reports espnresearch _Peek analytics social audience reports espnresearch _
Peek analytics social audience reports espnresearch _
 
Kaushanksy follower report
Kaushanksy follower reportKaushanksy follower report
Kaushanksy follower report
 
Havas media follower report
Havas media follower reportHavas media follower report
Havas media follower report
 
PeekAnalytics #pivotcon Audience Report Oct 15 2012
PeekAnalytics #pivotcon Audience Report Oct 15 2012PeekAnalytics #pivotcon Audience Report Oct 15 2012
PeekAnalytics #pivotcon Audience Report Oct 15 2012
 
Linda descano social pull
Linda descano social pullLinda descano social pull
Linda descano social pull
 
Linda descano social pull
Linda descano social pullLinda descano social pull
Linda descano social pull
 
Peretti report
Peretti reportPeretti report
Peretti report
 
Peek analytics digiday brand conference report
Peek analytics digiday brand conference reportPeek analytics digiday brand conference report
Peek analytics digiday brand conference report
 
Peek analytics social audience reports blogwell aggregate-_sep_13_2012
Peek analytics social audience reports blogwell aggregate-_sep_13_2012Peek analytics social audience reports blogwell aggregate-_sep_13_2012
Peek analytics social audience reports blogwell aggregate-_sep_13_2012
 
#techdrinkup shared report
#techdrinkup shared report#techdrinkup shared report
#techdrinkup shared report
 
@USATODAYSports Follower Report
@USATODAYSports Follower Report@USATODAYSports Follower Report
@USATODAYSports Follower Report
 

Kürzlich hochgeladen

Kürzlich hochgeladen (20)

Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
 
How to Add New Custom Addons Path in Odoo 17
How to Add New Custom Addons Path in Odoo 17How to Add New Custom Addons Path in Odoo 17
How to Add New Custom Addons Path in Odoo 17
 
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdf
 
FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024
 
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxHMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
 
SOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning PresentationSOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning Presentation
 
Understanding Accommodations and Modifications
Understanding  Accommodations and ModificationsUnderstanding  Accommodations and Modifications
Understanding Accommodations and Modifications
 
Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan Fellows
 
Graduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - EnglishGraduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - English
 
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
 
Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdf
 
Plant propagation: Sexual and Asexual propapagation.pptx
Plant propagation: Sexual and Asexual propapagation.pptxPlant propagation: Sexual and Asexual propapagation.pptx
Plant propagation: Sexual and Asexual propapagation.pptx
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptxHMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.ppt
 
On_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptx
On_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptxOn_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptx
On_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptx
 
Interdisciplinary_Insights_Data_Collection_Methods.pptx
Interdisciplinary_Insights_Data_Collection_Methods.pptxInterdisciplinary_Insights_Data_Collection_Methods.pptx
Interdisciplinary_Insights_Data_Collection_Methods.pptx
 

Pitch deck

  • 1. Next  Genera*on  Social  Audience  Data    
  • 2. Confidential / What  Nielsen®  does  for  television  and  radio,  what   comScore®  does  for  web  traffic—that’s  what  we  do  for   social  media     Proprietary  demographic  and  psychographic  social   audience  data     Largest  social  iden*ty  data  set  in  market  -­‐  7  years   collec*ng  and  matching  public  social  data  across  sixty   social  networks*     WHO  WE  ARE   *PeekAnaly*cs  accesses  TwiKer  data  by  way  of  DatasiL  
  • 3. Confidential / Insights  available  for  any  social  audience  include:   •  Age  (Nielsen  and  IAB  segments)   •  Geo-­‐loca*on  (City,  State,  Country,  Nielsen  DMA)   •  Income  (IAB  income  segments)   •  Industry   •  Educa*on   •  Social  Graph  Ac*vity  (influence,  impressions)   •  Interest  (370  IAB  categories)   •  Brand  affinity  (5000  brands)   •  TV  show  affinity  (350  TV  shows)   •  Celebrity  affinity  (20K  celebri*es)   WHAT  WE  DO  
  • 4. Confidential / Cross  Silo  Data  -­‐  Patented  technology  that  goes  way   beyond  standard  TwiKer  engagement  metrics       Census  level  analysis  –  over  200mm  social  consumers  in   the  database.    Fully  scalable  -­‐  not  dependent  on  opt-­‐in   consumers  to  grow  the  dataset       COMPETITIVE  ADVANTAGE  
  • 5. DATA  DRIVEN  DECISIONS   Confidential / SALES   MARKETING   DEVELOPERS   •Report  social  audiences   back  to  clients   •Research  compe**ve   landscape  for  a  pitch   •Track  and  sell  more   sponsored  na*ve  content   based  on  data   •Social  audience  tracking  pre   and  post  campaigns   •Easily  research  and  design   influencer  programs   •Understand  and  rank   compe*tors  for  campaigns     •Integrate  data  into  complex   systems     •Append  data  into  marke*ng   and  adver*sing  plaborms   •Augment  CRM  systems  with   the  data  
  • 6. Confidential / AFFINITY  FOR  TOP-­‐350  TV  SHOWS   24% of people who follow @Nike like ESPN Sportscenter, which is 3.1x the national average. 4.1% of people who talk about the Nike+ Fuelband like CNN Headline News (1.2x US average) . 12.7% like the Walking Dead (.9x the US average). 34% of the audience that follow @sundancechannel are interested in the Conan O’Brien show, 2.3x the US average. People who tweet about Travel Channel shows are 3.7x more likely to be a brand fan of Carnival Cruise Lines. People who tweet about National Geographic are 2.1x more likely to be Carnival Cruise Line brand fans.
  • 7. Confidential / AFFINITY  FOR  5000  CONSUMER  BRANDS   6.4% of people who tweet about American Idol are Ford brand fans, which is 40% lower than the US average. 7.2% of these same people are Hyundai brand fans, 80% greater than average. 4.3% of people who tweet about #MTVEMA are Chanel brand fans, which is about 3.6x greater than the average.
  • 8. Confidential / AFFINITY  FOR  20,000  CELEBRITIES   31% of people who talk about Nivea products also like Rihanna, which is 1.4x greater than the US average. Rihanna’s fans are 7.7x more likely to be Clinique brand fans. 53% of Justin Timberlake’s Twitter followers also like Rhianna, 2.4x the US average. 43% of people tweeting About the MTV Music awards like Miley Cyrus, which makes them 3x more likely to be fans. Miley’s fans are 3.6x more likely to be Clinique brand fans than average. They are .6x (40% less than average) likely to be interested in luxury auto brands. 29% of people tweeting World War Z in 2013 are fans Brad Pitt, 1.8x greater than average. 25% of people who tweeted positively about Moneyball like Brad Pitt, 1.5x greater than average. Brad’s fans are 67% female, 33% male. 24% earn over $100K/yr.
  • 9. Confidential / 370  IAB  INTERESTS  CATEGORIES   17% of people who Tweet about the Grammy’s like Books & Literature, 1.3x greater than average. 4.2% of Ashton Kutcher’s followers are interested in career planning, 50% greater than the US average. People who are interested in arts & crafts are 4.5x more likely than average to like The Middle on ABC. 14% of people tweeting about Agents of S.H.I.E.L.D. like Mexican food, 3x the US average.
  • 10. Confidential / GEO-­‐LOCATION  INSIGHTS  BY  NIELSEN  DMA  LEVEL   Current  reports  show  top  ci*es,  states  and  countries   Next  Genera*on  insights  will  offer  DMA  level  geo-­‐ loca*on   6% of people talking about tax prep software are from the New York DMA, which is 1.1x the US average. 10% of people talking about the Weather Channel in the Chicago DMA, also like LL Bean, which is 3.4x the Chicago DMA average. 33% of the people talking about the Republican party inside the Los Angeles DMA, are more likely to like sports (1.2x), art (2.1x) and movies (1.3x).
  • 11. Confidential / GEOFENCE  THE  SOCIAL  AUDIENCE   Capture  and  analyze  all  social  data  within  defined   borders  (lat/long  coordinates)   64% of people tweeting from Times Square are from New York, New Jersey, or Connecticut. 8% are from the UK. 4% went to a tier-1 university. 6% are Jeep brand fans. 7% like watching Breaking Bad. 52% of the people tweeting from the Westfield Paramus Mall make between $50,000-$100,000 and are more likely to like movies theatres (3.2x), family travel (1.5x) and Teen Wolf on MTV (3.7x). 25% of the people tweeting from the MetLife Stadium at the Superbowl were male and were between the ages of 26-35.