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>	
  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	
  
                            “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	
  
>	
  Clients	
  across	
  all	
  industries	
  




October	
  2011	
     ©	
  Datalicious	
  Pty	
  Ltd	
     4	
  
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	
  	
  
Main	
  reasons:	
  Data	
  volume,	
  interface	
  familiarity,	
  microsites	
  	
  




Raw	
  data	
  cannot	
  replace	
  Google,	
  Omniture,	
  etc	
  
 October	
  2011	
                ©	
  Datalicious	
  Pty	
  Ltd	
                                 11	
  
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	
  
Adding	
  addi/onal	
  data	
  sources	
  into	
  the	
  mix	
  is	
  easy	
  
   October	
  2011	
            ©	
  Datalicious	
  Pty	
  Ltd	
        18	
  
Analyse	
  data	
  for	
  high	
  value	
  clients	
  with	
  churn	
  risk	
  
  October	
  2011	
             ©	
  Datalicious	
  Pty	
  Ltd	
         19	
  
Reac/va/on	
  campaign	
  for	
  high	
  churn	
  risk	
  clients	
  
 October	
  2011	
          ©	
  Datalicious	
  Pty	
  Ltd	
     20	
  
Publish	
  interac/ve	
  Tableau	
  dashboards	
  online	
  
Most	
  common	
  content	
  interests	
  vs.	
  value	
  influence	
  
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	
  
Automated	
  the	
  running	
  of	
  successful	
  models	
  
Contact	
  me	
  
                      cbartens@datalicious.com	
  
                                 	
  
                           Learn	
  more	
  
                         blog.datalicious.com	
  
                                   	
  
                            Follow	
  me	
  
                       twi=er.com/datalicious	
  
                                 	
  
October	
  2011	
               ©	
  Datalicious	
  Pty	
  Ltd	
     25	
  
Data	
  >	
  Insights	
  >	
  Ac/on	
  



October	
  2011	
         ©	
  Datalicious	
  Pty	
  Ltd	
     26	
  

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Site Core Analytics

  • 1. >  SiteCore  Analy/cs  <   The  power  of  raw  visitor  data  
  • 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. >  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. >  Clients  across  all  industries   October  2011   ©  Datalicious  Pty  Ltd   4  
  • 5. SiteCore  data  stored  in  readily  accessible  MS  SQL  
  • 6. Events   Pages   Visits   Visitors   Profiles   Event  IDs  >  Page  IDs  >  Visit  IDs  >  Visitor  IDs  <  Profile  IDs  
  • 7. Most  BI  plaMorms  can  connect  to  MS  SQL  databases  
  • 8. Simply  connect  to  you  SiteCore  MS  SQL  database  
  • 9. Connect  the  various  tables  and  start  data  mining  
  • 10. Data  extracts:  Query  speed  vs.  data  sampling    
  • 11. Main  reasons:  Data  volume,  interface  familiarity,  microsites     Raw  data  cannot  replace  Google,  Omniture,  etc   October  2011   ©  Datalicious  Pty  Ltd   11  
  • 12. Easily  create  Tableau  reports  using  drag  and  drop  
  • 13. Easily  create  Tableau  reports  using  drag  and  drop  
  • 14. Easily  create  Tableau  reports  using  drag  and  drop  
  • 15.
  • 16. Easily  create  custom  segments  and  data  filters  
  • 17. Easily  create  custom  segments  and  data  filters  
  • 18. Adding  addi/onal  data  sources  into  the  mix  is  easy   October  2011   ©  Datalicious  Pty  Ltd   18  
  • 19. Analyse  data  for  high  value  clients  with  churn  risk   October  2011   ©  Datalicious  Pty  Ltd   19  
  • 20. Reac/va/on  campaign  for  high  churn  risk  clients   October  2011   ©  Datalicious  Pty  Ltd   20  
  • 21. Publish  interac/ve  Tableau  dashboards  online  
  • 22. Most  common  content  interests  vs.  value  influence  
  • 23. 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  
  • 24. Automated  the  running  of  successful  models  
  • 25. Contact  me   cbartens@datalicious.com     Learn  more   blog.datalicious.com     Follow  me   twi=er.com/datalicious     October  2011   ©  Datalicious  Pty  Ltd   25  
  • 26. Data  >  Insights  >  Ac/on   October  2011   ©  Datalicious  Pty  Ltd   26