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Social media analytics_itu_20120416

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Guest lecture given on the 16th of April, 2012 at the IT-University in Copenhagen, Denmark.
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Page 1 | © 2012 MINDJUMPERS. All rights reserved. April 2012 This presenta,on where given at a guest lecture at the ITUniversity of Copenhagen For more on ITU go to ITU.dk Social Media Analy3cs
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Page 1: Social media analytics_itu_20120416

Page 1 | © 2012 MINDJUMPERS. All rights reserved. April  2012  

This  presenta,on  where  given  at  a  guest  lecture  at  the  IT-­‐University  of  Copenhagen  For  more  on  ITU  go  to  ITU.dk  

Social  Media  Analy3cs  

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Social  Media  Analy3cs  Objec3ve  of  the  lecture  

To  share  how  Mindjumpers  work  with  social  analy,cs  with  our  clients  

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Two  business  units  under  the  Social  Media  Group  

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Mindjumpers – Social Media Agency

•  The  agency  operates  in  Northern  Europe  with  a  main  presence  in  the  Nordic      •  Have  in  just  3  years  become  a  leading  full  service  social  media  agency  in  the  Nordics    •  Profitable  and  based  on  organic  growth    •  Key  offering  is  to  help  companies  and  brands  organize,  manage  and  engage  in  social  

media  

 

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We  enable  companies  to  strategic  develop  and  execute  interna3onal  social  media  ini3a3ves  in  a  structured,    quality  assured  and  cost  effec3ve  way  

across  markets  with  focus  on  crea3ng  effect  and  value  

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Securing  offering  through  proven  and  structured  process  

Organize  •  Secure  quality  and  best  prac3ce  in  

community  management  across  markets/countries  

Manage  &  Measure  •  Secured  through  training,  procedures,  

guides,  manuals  and  key  performance  measurement  

Engage  •  Secure    

•  Brand  consistent  •  Social  media  authen3c  •  High  responsive  •  Na3ve  speaking  •  Quality  assured  …  Community  management    

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”Technologies  which  facilitate  online  interac8on  between  people”      

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 Every  day,  we  create  2.5  quin3llion  bytes  of  data  —  so  much  that  90%  of  the  data  in  the  world  today  has  been  created  in  the  last  two  years  alone.  This  data  comes  from  everywhere:  sensors  used  to  gather  climate  informa3on,  posts  to  social  media  sites,  digital  pictures  and  videos,  purchase  transac3on  records,  and  cell  phone  GPS  signals  to  name  a  few.  This  data  is  big  data.      

What  is  big  data?  

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Social  Data…  (Business  intelligence)  

250  million  daily  posts  on  twi^er,  a  2,000  percent  increase  in  just  two  years    

Facebook  have  845  million  ac3ve  users  at  the  end  of  December  2011—and  more  than  425  million  of  them  use  the  site  daily.  

Source:  ’Ac3onable  Social  Analy3cs’,  white  paper  by  Awareness  Inc.,  April  2012    

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Intelligence  

ROI  

Insights  –  Data  mining  

Performance  measurement  

Metrics  

Defini3on  of  Social  Analy3cs?  

Repor3ng  

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ACTIONABLE SOCIAL ANALYTICS:From Social Media Metrics to Business Insights

1

ACTIONABLE SOCIAL ANALYTICS:From Social Media Metrics to Business Insights

APRIL 2012

SOCIAL

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Analy,cs  experts  have  developed  consensus  around  the  defini,on  of  social  analy,cs.      Jim  Sterne,  the  author  of  Social  Media  Metrics,  defines  social  media  analy,cs  as  “the  study  of  social  media  metrics  that  help  drive  business  strategy.”    Jonas  Klit  Nielsen,  managing  partner  at  Mindjumpers,  one  of  the  premier  social  marke,ng  agencies  in  Europe,  agrees  and  adds  that  social  analy,cs  is  “the  ability  to  analyze  performance  of  social  media  ini8a8ves  and  social  data  for  business  intelligence.”      Connie  Bensen,  senior  manager,  community  strategy  and  execu,on  at  Dell,  provides  a  slightly  different  defini,on:  “Social  analy8cs  consists  of  web  analy8cs,  engagement,  and  revenue  generated  from  social.”  In  her  view,  the  web  analy,cs  and  engagement  metrics  direct  marke,ng  decisions  and  direc,ons,  while  new  customer  acquisi,on  rates,  shorter  customer  acquisi,on  ,me  and  higher  lead  conversion  rates  are  among  the  top  sales  effec,veness  metrics.    Source:  Ac,onalbe  Social  Analy,cs,  April  2012,  Awarness  inc.        

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Plagorm  API  Data  Mining  

Offline  ATL  &  BTL  

Buzz  tracking  (real  3me)  

Listen  &  analyse  

Monitor  

Social  insight  and  measurement    Strategic  dashboard  to  gain  insights  on  our  brands  and  consumers    

and  the  performance  of  our  social  strategy  and  ini3a3ves    

Campaign  performance  

Content  

Ads  

Apps  (Plagorm/device)  

Web  analy3c  

Social  Profiling   SEO  

Traffic  

Benchmark  

Sales  

Reputa3on  

Loyalty  

Trend  mining  

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The Value Proposition

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The Strategy

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Set clear objectives, targets and KPI´s

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Deploy and analyse on Accelerators to reach your KPI´s  

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Plagorm  API  &  Partnership  

Example: Facebook

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Social  Profiling  

-­‐  Interests  -­‐  Compe3tors,  Movies,  Series,  Actors,  Sports    

-­‐  How  omen  do  they  interact  with  us?  -­‐  Sen3ment  -­‐  Influence  -­‐  Friends  of  fans    

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Buzz  –  Tracking      

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Campaign  performance  (benchmark)  

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Repor3ng  levels  

Overall performance

Business units on growth and performance

Insight topic reporting

Detailed cross brands on performance

Local Market specific reporting

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