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Data
B&T Bootcamp
2010
@davewhittle
Data. Data. Data.
Confession.
“0100100100100000011000010110
 1101001000000110111101100010
 0111001101100101011100110111
 0011011001010110010000100000
 0111011101101001011101000110
 1000001000000110010001100001
 011101000110000100101110.”
“I am obsessed with Data.”
Definition
da·ta
Pronunciation: dā-tə, da- also dä-

1.   Factual information (as measurements or statistics) used as a basis
     for reasoning, discussion, or calculation
2.   Information output by a sensing device or organ that includes both
     useful and irrelevant or redundant information and must be
     processed to be meaningful
3.   Information in numerical form that can be digitally transmitted or
     processed
Beginning. Middle. End.
Power
Fiction   Fact
Subjective   Objective
Postulate   Calculate
Art   Science
Sample   Universe
Unknown
Unknow
Unknow
Sources
Everywhere?
Everywhere.
But let’s focus on
the interwebs.
Where?




                           Ow
               ht
            ug



                             ned
         Bo
                    Data

                Earned
Who?




                 rs
              lde


                        Sta
            ho



                           ff
         are
                 Data
       Sh



             Consumers
Earned
Earned
Owned
Owned
                  Maximum
 Traffic




                  Minimum


           Time
Bought

                   Reactivate    Reach &
                                 Educate

                                             Attract &
          Retain                            Encourage

                              Data
                                             Convince
         Recognise                           & Convert


                      Drive
                                 Activate
                      value
Types
Everythings?
Everything.
But let’s focus on
the consumer.
Say              Do


      Inferred
Be
                 hav
   file
Pro



                    io u
          Data


                     ral
      Inferred
Level 1        Level 2             Level 3
Data      Profile        Behavioural         Inferred

          Name, email,   Website activity,   Clustering,
Example
          phone number   purchase history    predictive model
Action
Everytime?
Everytime.
But let’s focus on
the marketing.
Cost/number
Objective targets                                                         $/      #

Reach           Total unique reach.

Impressions     Total ad impressions.

Interaction     Total interactions and time spent with ads.

Click through   Total click throughs.
                Total site traffic to site that viewed but didn’t click
View through    on an ad.
Downloads       Total downloads of ringtones, avatars etc.
                Total emails sent to a friend from banners or
Emails          websites.
Searches        Total number of search engine queries
Collect   Collate   Conclude
Action
Value




                                            Insight

                             Intelligence
               Information
        Data
                        Process
Message   +   Medium
Relevance

Timely: people look forward to hearing from you
Relevant: communication the recipient is interested in
Anticipated: people expect to hear from you
Personal: the messages are customised to the individual

TRAP.
Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 Week 8 Week 9 Week 10 Week 11
     Run       Review         Revise
                                                                      Improvement
                     Run         Review       Revise
                                       Run       Review      Revise
                                                       Run      Review       Revise
                                                                       Run      Review


                        Run
   Revise


                                             Run > Review > Revise
                                                    Repeat_
            Review
Examples
Predict?
Predicting
irrational
behaviour.
behaviour.
Managing choice
   P&G reduced its range from 26 to 15




             Sales went up by 10%
Status quo bias
           Organ donation




                     Presumed consent
The power of now
Summary
Collect   Collate   Conclude
Data driven decisions.
Questions?
Tweets?
Contact
      David Whittle
      Chief Executive Officer
      0448 000 000
      david.whittle@mark.com.au
Thank you

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Data Bootcamp: An Introduction to Data