Site Core Analytics

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The presentation illustrates the impact of data driven marketing.

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Site Core Analytics

  1. 1. >  SiteCore  Analy/cs  <   The  power  of  raw  visitor  data  
  2. 2. >  Short  but  sharp  history  §  Datalicious  was  founded  in  late  2007  §  Strong  Omniture  web  analy>cs  history  §  1  of  4  preferred  Omniture  partners  globally  §  Now  360  data  agency  with  specialist  team  §  Combina>on  of  analysts  and  developers  §  Carefully  selected  best  of  breed  partners  §  Driving  industry  best  prac>ce  (ADMA)  §  Turning  data  into  ac>onable  insights  §  Execu>ng  smart  data  driven  campaigns      October  2011   ©  Datalicious  Pty  Ltd   2  
  3. 3. >  Smart  data  driven  marke/ng   “Using  data  to  widen  the  funnel”   Media  A=ribu/on  &  Modeling   Op/mise  channel  mix,  predict  sales   Targeted  Direct  Marke/ng     Increase  relevance,  reduce  churn   Tes/ng  &  Op/misa/on   Remove  barriers,  drive  sales   Boos/ng  ROI  October  2011   ©  Datalicious  Pty  Ltd   3  
  4. 4. >  Clients  across  all  industries  October  2011   ©  Datalicious  Pty  Ltd   4  
  5. 5. SiteCore  data  stored  in  readily  accessible  MS  SQL  
  6. 6. Events   Pages   Visits   Visitors   Profiles  Event  IDs  >  Page  IDs  >  Visit  IDs  >  Visitor  IDs  <  Profile  IDs  
  7. 7. Most  BI  plaMorms  can  connect  to  MS  SQL  databases  
  8. 8. Simply  connect  to  you  SiteCore  MS  SQL  database  
  9. 9. Connect  the  various  tables  and  start  data  mining  
  10. 10. Data  extracts:  Query  speed  vs.  data  sampling    
  11. 11. Main  reasons:  Data  volume,  interface  familiarity,  microsites    Raw  data  cannot  replace  Google,  Omniture,  etc   October  2011   ©  Datalicious  Pty  Ltd   11  
  12. 12. Easily  create  Tableau  reports  using  drag  and  drop  
  13. 13. Easily  create  Tableau  reports  using  drag  and  drop  
  14. 14. Easily  create  Tableau  reports  using  drag  and  drop  
  15. 15. Easily  create  custom  segments  and  data  filters  
  16. 16. Easily  create  custom  segments  and  data  filters  
  17. 17. Adding  addi/onal  data  sources  into  the  mix  is  easy   October  2011   ©  Datalicious  Pty  Ltd   18  
  18. 18. Analyse  data  for  high  value  clients  with  churn  risk   October  2011   ©  Datalicious  Pty  Ltd   19  
  19. 19. Reac/va/on  campaign  for  high  churn  risk  clients   October  2011   ©  Datalicious  Pty  Ltd   20  
  20. 20. Publish  interac/ve  Tableau  dashboards  online  
  21. 21. Most  common  content  interests  vs.  value  influence  
  22. 22. Content  categories  with  most  traffic  do  not  necessarily  have   the  most  influence  on  the  generated  value  for  each  visitor!  Regression  modelling  to  show  influence  on  value  
  23. 23. Automated  the  running  of  successful  models  
  24. 24. Contact  me   cbartens@datalicious.com     Learn  more   blog.datalicious.com     Follow  me   twi=er.com/datalicious    October  2011   ©  Datalicious  Pty  Ltd   25  
  25. 25. Data  >  Insights  >  Ac/on  October  2011   ©  Datalicious  Pty  Ltd   26  

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