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Using MAAX to Capture Political Advertising Revenue

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Houston Chronicle. 2. POLITICAL DATABASE PROJECT. OUR GOAL. CHALLENGES. THE ... HOUSTON CHRONICLE VOTER DATABASE SCHEMA. 8. REGISTERED VOTER DATABASE BUILD. 9 ... – PowerPoint PPT presentation

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Title: Using MAAX to Capture Political Advertising Revenue


1
Using MAAX to Capture Political Advertising
Revenue
  • Kyle Reynolds
  • Database Preprint Advertising Director
  • Houston Chronicle

2
POLITICAL DATABASE PROJECT
  • OUR GOAL
  • CHALLENGES
  • THE BUILD PROCESS
  • HOW WE USE IT
  • RESULTS
  • SUPPORTING DIRECT MAIL ROP

3
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4
Voter Database Goals
  • Develop a comprehensive database of registered
    voters in the Houston area to market our range of
    advertising options to political candidates
    running for office in the November 2008 election
  • Link registered voters to our subscriber file to
    identify our subscriber penetration rate by zip
    code, congressional and state office districts
    and local precincts
  • Identify voters by political party affiliation
    based on past voting history
  • Provide specific voter counts grouped into sub
    and nonsub categories for key races and
    candidates the same day they are requested by our
    national sales team
  • Household our voter and demographic database to
    overlay key variables such household income,
    marital status, presence of children, home value
    and personal interest categories

5
Voter Database Challenges
  • Coordinating collection of voter registration and
    history files from four Houston area counties and
    their respective tax assessor-collector offices
  • Working with each countys tax office database
    staff to ensure we receive the correct files in
    the right format with file layouts and code
    definitions
  • Combining separate voter registration and history
    files from certain counties and determining which
    voter history files needed to be included in our
    database since some counties had up to 50
    different voter history files
  • Understanding which fields of data from each
    county would yield the voter information
    necessary to provide counts to our national sales
    team
  • Determining the depth of information we could
    provide from each countys voter registration and
    history files since each county had unique ways
    of recording and reporting their data
  • Developing a plan of action and working with our
    DBA and MAAX specialist in building,
    householding, performing quality control checks
    and going live with our database

6
Voter Database Process
  • Because the voter registration and history files
    were obtained from each county at different
    times, we imported the information into Access
    first to verify the integrity and quality of the
    data
  • Queries and spreadsheets were developed to
    determine counts from key variables before the
    files were built into MAAX so we would be able to
    compare numbers and household match rates with
    our existing databases
  • Issues and questions were referred to each tax
    assessor-collectors technical staff for
    clarification before moving forward on the build
    process
  • Once the files were processed, we reviewed and
    verified all fields, their length, properties,
    file layouts and householding. Any discrepancies
    were discussed and the files were processed a
    second time before building into MaaX
  • Testing was performed to determine necessary
    bandings and queries before running crosstab and
    multi-dimensional queries
  • Spreadsheets were developed and presented to the
    National sales team for inclusion in their sales
    presentation and marketing materials

7
HOUSTON CHRONICLE VOTER DATABASE SCHEMA
EXPERIAN All Non-Marginal Records Link on ADDR_ID
SAM All Non-Marginal Records Link on ADDR_ID
SUB All Non-Marginal Records Link on
ADDR_ID Common SUB Link
SAM_Link
AMST All Unique Addresses Link on ADDR_ID
GALVESTON All Voter Addresses Link on ADDR_ID
MONTGOMERY All Voter Addresses Link on ADDR_ID
MONTGOMERY Voter History file records Link on
Voter ID
Voter_ID
HARRIS All Voter Addresses History Link on
ADDR_ID
FT BEND All Voter Addresses History Link on
ADDR_ID
8
REGISTERED VOTER DATABASE BUILD
9
HARRIS COUNTYS REGISTERED VOTER FILE
  • 5,610 records coded as SUBS and Non-Subs
  • 146,965 records in file do not match up with SAM
    file due to missing/inaccurate addresses

REFERENCE HARRIS COUNTY VOTER SAM TABLES
10
REGISTERED VOTERS WHO ARE POLITICAL CONTRIBUTORS
WITH HHI 100K
  • 40,799 records

REFERENCE HARRIS COUNTY VOTER EXPERIAN TABLES
11
REGISTERED VOTERS WHO ARE CHRONICLE SUBS WITH HHI
100K
  • 129,437 records

REFERENCE HARRIS COUNTY VOTER, SAM EXPERIAN
TABLES
12
REGISTERED VOTERS BY PRECINCT WITH HHI RANGES
REFERENCE HARRIS COUNTY VOTER EXPERIAN TABLES
13
MALE AND FEMALE REGISTERED VOTERS BY PRECINCT
REFERENCE HARRIS COUNTY VOTER EXPERIAN TABLES
14
Political Sales Strategy
  • Historically, heavy direct mail
  • ROP opportunity
  • Analysis shows 157,782 registered voters in
    candidate district that are Chronicle
    Subscribers.
  • National put together a multi run ROP rate for
    specific ad size in specific newspaper section
  • Result was client could get the equivalent of
    four direct mail touches for .21 cents, or .05
    cents per hit
  • Comparison favored ROP sometimes penetration
    levels favor solo mail

15
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