Micro-targeting and internet tested mail

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    Micro-targeting and internet tested mail - Presentation Transcript

    1. MICRO-TARGETING AND INTERNET TESTED MAIL
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    2. B E H I N D E V E R Y V I C T O R Y T H E R E I S A S T R A T E G Y
    3. TARGETING BEGINS WITH DATA
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      Voter File- the universal base file
      Individual Demographics – Age, Race, Gender, Marital Status, Income
      Geography- Census Data
      Precinct results (Electoral Zones)
      Vote History- Vote in primaries, generals
      Voter ID/Party ID
      Enhancements – Ethnic surnames, Phone match
      Lifestyle (Psychographics)- Hunter/fisher, veteran, churchgoer, union member, consumer buying power
    4. GEOGRAPHIC TARGETING HELPSbut has its limits
      4
      Birds of a Feather Flock Together
      Census Data
      Precinct results (Electoral Zones)
      Neighborhood culture
    5. Micro-Targeting allows you to target the individual or household, not just the neighborhood
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    6. The Difference Between Polling and Micro-Targeting
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      Micro-Targeting
      • Huge sample – 8,000-12,000 interviews
      • Short interview - 8 questions maximum
      • Multi-dimension cross- tabulations. 300 variables x 300 variables
      Polling
      Small sample
      – 800-1200 interviews
      Long interview –
      70-100 questions
      over 20-25 minutes
      Limitedtwo- dimensionalcross-tabulations:
      Women over age 50
      College Educated Men Unmarried women
    7. Micro-Targeting combines issue questions with voter file data
      7
      Voter File- the universal base file
      Individual Demographics – Age, Race, Gender, Marital Status, Income
      Geography- Census Data
      Precinct results (Electoral Zones)
      Vote History- Vote in primaries, generals
      Voter ID/Party ID
      Enhancements – Ethnic surnames, Phone match
      Lifestyle (Psychographics)- Hunter/fisher, veteran, churchgoer, union member
      What party do you most indentify with?
      Agree/disagree with following statement: Health Care system is broken and needs major reform
      If the election were held today would you vote for McCain or Obama?
      How strongly do you support that candidate?
      How often do you attend church or religious services?
      Are you or other members of your family active duty military, veteran or member of the National Guard or Reserves
    8. MODELING INDENTIFIES YOUR INDIVIDUAL TARGETS
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      Highest Scores, Most Pro-Obama
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      8
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      2
      1
      Scores every voter on the file from 0-100 – divides into 10 equal buckets ranging from most Pro-McCain to most Pro-Obama
      Models clearly identify persuasion and GOTV targets
      Lowest Scores
      Pro-McCain
    9. Multi-Dimensional Modeling Goes Beyond GEOGRAPHY and CLASS
      The models generate scores that can be used to
      Identify Persuadable voters
      Identify Issue voters
      Identify GOTV voters
      This approach has successfully helped Republicans find their niche voters and now Democrats are catching up, and are using modeling to find donors as well as voters.
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    10. TWO HOUSES, SAME DEMOGRAPHICS
      Votes Democratic
      Union Member
      Votes Republican
      Weekly Churchgoer
      Hunting License
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      Same Age, Income, Marital Status, Race, # of Children
      What makes them different?
      LEFT
      RIGHT
    11. WHAT IF YOU ONLY HAVE LIMITED LIFESTYLE INFO?
      Build a statistical model that compares your list of supporters with the entire voter universe.
      Create an algorithm that scores every voters 1-100 with their likelihood to look and act like your supporters.
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    12. TWO HOUSES, SAME DEMOGRAPHICS
      • Leans Democratic
      Model Score = 56
      Votes Republican
      Hunting License
      Model Score = 32
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      Same Age, Income, Marital Status, Race, # of Children
      What makes them different?
      LEFT
      RIGHT
    13. African-American
      GOTV
      B E H I N D E V E R Y V I C T O R Y T H E R E I S A S T R A T E G Y
    14. B E H I N D E V E R Y V I C T O R Y T H E R E I S A S T R A T E G Y
    15. B E H I N D E V E R Y V I C T O R Y T H E R E I S A S T R A T E G Y
    16. B E H I N D E V E R Y V I C T O R Y T H E R E I S A S T R A T E G Y
    17. In
      B E H I N D E V E R Y V I C T O R Y T H E R E I S A S T R A T E G Y
    18. USING THE INTERNET TO TEST MAIL
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    19. B E H I N D E V E R Y V I C T O R Y T H E R E I S A S T R A T E G Y
    20. B E H I N D E V E R Y V I C T O R Y T H E R E I S A S T R A T E G Y
    21. B E H I N D E V E R Y V I C T O R Y T H E R E I S A S T R A T E G Y
    22. B E H I N D E V E R Y V I C T O R Y T H E R E I S A S T R A T E G Y
    23. B E H I N D E V E R Y V I C T O R Y T H E R E I S A S T R A T E G Y
    24. B E H I N D E V E R Y V I C T O R Y T H E R E I S A S T R A T E G Y
    25. B E H I N D E V E R Y V I C T O R Y T H E R E I S A S T R A T E G Y
    26. B E H I N D E V E R Y V I C T O R Y T H E R E I S A S T R A T E G Y
    27. B E H I N D E V E R Y V I C T O R Y T H E R E I S A S T R A T E G Y
    28. pgiangreco@strategygroup.com
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