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>	
  Making	
  data	
  sexy	
  <	
  
       Turning	
  raw	
  data	
  into	
  	
  
        ac.onable	
  insights	
  
>	
  The	
  datalicious	
  elevator	
  pitch	
  
              “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	
  
Make	
  data	
  sexy	
  
                      by	
  turning	
  it	
  into	
  	
  
                     ac<onable	
  insights	
  

August	
  2011	
                  ©	
  Datalicious	
  Pty	
  Ltd	
     3	
  
Standardise	
  metrics	
  


August	
  2011	
              ©	
  Datalicious	
  Pty	
  Ltd	
     4	
  
August	
  2011	
     ©	
  Datalicious	
  Pty	
  Ltd	
     5	
  
Break	
  down	
  data	
  silos	
  


August	
  2011	
             ©	
  Datalicious	
  Pty	
  Ltd	
     6	
  
>	
  Establish	
  a	
  single	
  source	
  of	
  truth	
  




 Insights	
                                                   Repor<ng   	
  



August	
  2011	
         ©	
  Datalicious	
  Pty	
  Ltd	
            7	
  
>	
  Combine	
  profile	
  data	
  sources	
  

                CRM	
  Profile	
                                                                                     Site	
  Behaviour	
  
              one-­‐off	
  collec.on	
  of	
  demographical	
  data	
  	
                                                   tracking	
  of	
  purchase	
  funnel	
  stage	
  




                                                                                    +	
  
               age,	
  gender,	
  address,	
  etc	
                                                                     browsing,	
  checkout,	
  etc	
  
              customer	
  lifecycle	
  metrics	
  and	
  key	
  dates	
                                                     tracking	
  of	
  content	
  preferences	
  
            profitability,	
  expira<on,	
  etc	
                                                                   products,	
  brands,	
  features,	
  etc	
  
              predic.ve	
  models	
  based	
  on	
  data	
  mining	
                                                  tracking	
  of	
  external	
  campaign	
  responses	
  
           propensity	
  to	
  buy,	
  churn,	
  etc	
                                                               search	
  terms,	
  referrers,	
  etc	
  
             historical	
  data	
  from	
  previous	
  transac.ons	
                                                  tracking	
  of	
  internal	
  promo.on	
  responses	
  
         average	
  order	
  value,	
  points,	
  etc	
                                                              emails,	
  internal	
  search,	
  etc	
  




        Updated	
  Occasionally	
                                                                                 Updated	
  Con<nuously	
  


August	
  2011	
                                                             ©	
  Datalicious	
  Pty	
  Ltd	
                                                                   8	
  
>	
  3rd	
  party	
  data	
  enhancements	
  



               Customer	
  profile	
  data	
  




              Geo-­‐demographic	
  data	
  
                                                        +	
                            The	
  whole	
  is	
  greater	
  	
  
                                                                                     than	
  the	
  sum	
  of	
  its	
  parts	
  




                     3rd	
  party	
  data	
  



August	
  2011	
                                ©	
  Datalicious	
  Pty	
  Ltd	
                                                    9	
  
Visualise	
  your	
  data	
  


August	
  2011	
               ©	
  Datalicious	
  Pty	
  Ltd	
     10	
  
What	
  trends	
  can	
  you	
  iden<fy	
  in	
  5	
  seconds	
  	
  
          by	
  looking	
  at	
  the	
  raw	
  data	
  only?	
  
August	
  2011	
                  ©	
  Datalicious	
  Pty	
  Ltd	
             11	
  
August	
  2011	
     ©	
  Datalicious	
  Pty	
  Ltd	
     12	
  
August	
  2011	
     ©	
  Datalicious	
  Pty	
  Ltd	
     13	
  
August	
  2011	
     ©	
  Datalicious	
  Pty	
  Ltd	
     14	
  
August	
  2011	
     ©	
  Datalicious	
  Pty	
  Ltd	
     15	
  
RED	
  =	
  No	
  single	
  men	
  
   August	
  2011	
                   ©	
  Datalicious	
  Pty	
  Ltd	
     16	
  
Allocate	
  a	
  data	
  budget	
  


August	
  2011	
           ©	
  Datalicious	
  Pty	
  Ltd	
     17	
  
Combine	
  data	
  &	
  crea<vity	
  


August	
  2011	
     ©	
  Datalicious	
  Pty	
  Ltd	
     18	
  
August	
  2011	
     ©	
  Datalicious	
  Pty	
  Ltd	
     19	
  
Contact	
  us	
  
                     insights@datalicious.com	
  
                                	
  
                          Learn	
  more	
  
                       blog.datalicious.com	
  
                                 	
  
                           Follow	
  me	
  
                      twi:er.com/datalicious	
  
                                	
  
August	
  2011	
              ©	
  Datalicious	
  Pty	
  Ltd	
     20	
  
Data	
  >	
  Insights	
  >	
  Ac<on	
  



August	
  2011	
          ©	
  Datalicious	
  Pty	
  Ltd	
     21	
  

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STW: Making Data Sexy

  • 1. >  Making  data  sexy  <   Turning  raw  data  into     ac.onable  insights  
  • 2. >  The  datalicious  elevator  pitch   “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  
  • 3. Make  data  sexy   by  turning  it  into     ac<onable  insights   August  2011   ©  Datalicious  Pty  Ltd   3  
  • 4. Standardise  metrics   August  2011   ©  Datalicious  Pty  Ltd   4  
  • 5. August  2011   ©  Datalicious  Pty  Ltd   5  
  • 6. Break  down  data  silos   August  2011   ©  Datalicious  Pty  Ltd   6  
  • 7. >  Establish  a  single  source  of  truth   Insights   Repor<ng   August  2011   ©  Datalicious  Pty  Ltd   7  
  • 8. >  Combine  profile  data  sources   CRM  Profile   Site  Behaviour   one-­‐off  collec.on  of  demographical  data     tracking  of  purchase  funnel  stage   +   age,  gender,  address,  etc   browsing,  checkout,  etc   customer  lifecycle  metrics  and  key  dates   tracking  of  content  preferences   profitability,  expira<on,  etc   products,  brands,  features,  etc   predic.ve  models  based  on  data  mining   tracking  of  external  campaign  responses   propensity  to  buy,  churn,  etc   search  terms,  referrers,  etc   historical  data  from  previous  transac.ons   tracking  of  internal  promo.on  responses   average  order  value,  points,  etc   emails,  internal  search,  etc   Updated  Occasionally   Updated  Con<nuously   August  2011   ©  Datalicious  Pty  Ltd   8  
  • 9. >  3rd  party  data  enhancements   Customer  profile  data   Geo-­‐demographic  data   +   The  whole  is  greater     than  the  sum  of  its  parts   3rd  party  data   August  2011   ©  Datalicious  Pty  Ltd   9  
  • 10. Visualise  your  data   August  2011   ©  Datalicious  Pty  Ltd   10  
  • 11. What  trends  can  you  iden<fy  in  5  seconds     by  looking  at  the  raw  data  only?   August  2011   ©  Datalicious  Pty  Ltd   11  
  • 12. August  2011   ©  Datalicious  Pty  Ltd   12  
  • 13. August  2011   ©  Datalicious  Pty  Ltd   13  
  • 14. August  2011   ©  Datalicious  Pty  Ltd   14  
  • 15. August  2011   ©  Datalicious  Pty  Ltd   15  
  • 16. RED  =  No  single  men   August  2011   ©  Datalicious  Pty  Ltd   16  
  • 17. Allocate  a  data  budget   August  2011   ©  Datalicious  Pty  Ltd   17  
  • 18. Combine  data  &  crea<vity   August  2011   ©  Datalicious  Pty  Ltd   18  
  • 19. August  2011   ©  Datalicious  Pty  Ltd   19  
  • 20. Contact  us   insights@datalicious.com     Learn  more   blog.datalicious.com     Follow  me   twi:er.com/datalicious     August  2011   ©  Datalicious  Pty  Ltd   20  
  • 21. Data  >  Insights  >  Ac<on   August  2011   ©  Datalicious  Pty  Ltd   21