>  SiteCore  Analy/cs  <  The  power  of  raw  visitor  data  

>  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  

>  Smart  data  driven  marke/ng  

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Media  A=ribu/on  &  Modeling  

Op/mise  channel  mix,  predict  sales  

Tes/ng  &  Op/misa/on  Remove  barriers,  drive  sales  

Boos/ng  ROI  

Targeted  Direct  Marke/ng    Increase  relevance,  reduce  churn  

“Using  data  to  widen  the  funnel”  

>  Clients  across  all  industries  

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SiteCore  data  stored  in  readily  accessible  MS  SQL  

Events   Pages   Visits   Visitors   Profiles  

Event  IDs  >  Page  IDs  >  Visit  IDs  >  Visitor  IDs  <  Profile  IDs  

Most  BI  plaMorms  can  connect  to  MS  SQL  databases  

Simply  connect  to  you  SiteCore  MS  SQL  database  

Connect  the  various  tables  and  start  data  mining  

Data  extracts:  Query  speed  vs.  data  sampling    

October  2011   ©  Datalicious  Pty  Ltd   11  Raw  data  cannot  replace  Google,  Omniture,  etc  

Main  reasons:  Data  volume,  interface  familiarity,  microsites    

Easily  create  Tableau  reports  using  drag  and  drop  

Easily  create  Tableau  reports  using  drag  and  drop  

Easily  create  Tableau  reports  using  drag  and  drop  

Easily  create  custom  segments  and  data  filters  

Easily  create  custom  segments  and  data  filters  

October  2011   ©  Datalicious  Pty  Ltd   18  Adding  addi/onal  data  sources  into  the  mix  is  easy  

October  2011   ©  Datalicious  Pty  Ltd   19  Analyse  data  for  high  value  clients  with  churn  risk  

October  2011   ©  Datalicious  Pty  Ltd   20  Reac/va/on  campaign  for  high  churn  risk  clients  

Publish  interac/ve  Tableau  dashboards  online  

Most  common  content  interests  vs.  value  influence  

Regression  modelling  to  show  influence  on  value  

Content  categories  with  most  traffic  do  not  necessarily  have  the  most  influence  on  the  generated  value  for  each  visitor!  

Automated  the  running  of  successful  models  

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Contact  me  cbartens@datalicious.com  

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Data  >  Insights  >  Ac/on  

October  2011   ©  Datalicious  Pty  Ltd   26