Consumer Db Sales Presentation


Published on

  • Be the first to comment

  • Be the first to like this

No Downloads
Total Views
On Slideshare
From Embeds
Number of Embeds
Embeds 0
No embeds

No notes for slide
  • Consumer Db Sales Presentation

    1. 1. Consumer Databases
    2. 2. Consumer Files Overview <ul><li>Consumer Database: Database of 117 million households and 218 million individuals enhanced with demographic information. </li></ul><ul><li>Occupant File: Database of over 108 million addresses, used for saturation mailings. </li></ul><ul><li>New Movers: Database of 12-15 million new movers over the last 12 months. </li></ul><ul><li>New Homeowners: Database of 4-5 million new homeowners over the last 12 months. </li></ul><ul><li>Public Record: Database of over 21 million U.S. business and residential bankruptcy and tax lien filings. </li></ul>
    3. 3. Consumer File Facts <ul><li>Aggregate approximately 1.5 billion records annually </li></ul><ul><li>Proprietary info USA White Page file is the backbone </li></ul><ul><ul><li>99.5% accurate at the record level </li></ul></ul><ul><li>Includes information on over 100 demographic categories </li></ul>
    4. 4. Consumer Database infoUSA Proprietary Information Real Estate Information Birth Records Student Lists Active Bank Card Lifestyle Data Voter Registration Files Response Lists Census Statistics Mail Order Buyer Magazine Subscribers Redeemers/Warranty Telephone Listings Consumer
    5. 5. Levels of Information <ul><li>Three separate Levels of Information can be selected from the Consumer Database: </li></ul><ul><ul><li>Individual Level </li></ul></ul><ul><ul><li>Household Level </li></ul></ul><ul><ul><li>Neighborhood Level </li></ul></ul>
    6. 6. Levels of Information <ul><li>Individual Data </li></ul><ul><ul><li>Up to Eight Members </li></ul></ul><ul><ul><li>Name/Gender/Title </li></ul></ul><ul><ul><li>Date of Birth/Year Of Birth </li></ul></ul><ul><ul><li>Head of Household/Spouse </li></ul></ul>
    7. 7. Levels of Information <ul><li>Household level data </li></ul><ul><li>Mail Responsive </li></ul><ul><li>Active Bank Card </li></ul><ul><li>Early Internet Adopter </li></ul><ul><li>Bank Card Ownership </li></ul><ul><li>Home Owners </li></ul><ul><li>Renter </li></ul><ul><li>Religious & Ethnic Surname </li></ul><ul><li>Buyer Behavior Household Clusters </li></ul><ul><li>Buyer Behavior Target Selects </li></ul><ul><li>Potential Investor Consumers (PIC) </li></ul><ul><li>Name </li></ul><ul><li>Address </li></ul><ul><li>Phone Number </li></ul><ul><li>Dwelling Size </li></ul><ul><li>Length of Residence </li></ul><ul><li>Marital Status </li></ul><ul><li>WealthFinder </li></ul><ul><li>Actual Age or Age Range </li></ul><ul><li>Household Income </li></ul><ul><li>Purchasing Power </li></ul><ul><li>Occupations </li></ul>
    8. 8. Levels of Information <ul><li>Neighborhood Level Data </li></ul><ul><ul><li>Census Information (over 300 variables) </li></ul></ul><ul><ul><ul><li>Age </li></ul></ul></ul><ul><ul><ul><li>Household Composition </li></ul></ul></ul><ul><ul><ul><li>Education </li></ul></ul></ul><ul><ul><ul><li>Occupation </li></ul></ul></ul><ul><ul><ul><li>Income </li></ul></ul></ul><ul><ul><ul><li>Race/Ethnicity </li></ul></ul></ul><ul><ul><li>Donnelley Marketing SESI* </li></ul></ul><ul><ul><ul><li>Income </li></ul></ul></ul><ul><ul><ul><li>Occupation </li></ul></ul></ul><ul><ul><ul><li>Education </li></ul></ul></ul><ul><ul><ul><li>Ownership </li></ul></ul></ul><ul><ul><ul><li>*Socio-Economic Status Indicator </li></ul></ul></ul><ul><ul><li>Donnelley Neighborhood Statistics (Aggregate List Statistics) </li></ul></ul><ul><ul><ul><li>% Single Family Home </li></ul></ul></ul><ul><ul><ul><li>% Newcomers </li></ul></ul></ul><ul><ul><ul><li>% Median Income </li></ul></ul></ul><ul><ul><li>Cluster Systems </li></ul></ul><ul><ul><ul><li>PRIZM NE sm </li></ul></ul></ul>
    9. 9. Lifestyle Information <ul><li>Created Using a Multitude of Action and Purchase Decision Sources: </li></ul><ul><ul><li>Direct Mail – Catalog, Fundraising, Memberships </li></ul></ul><ul><ul><li>Internet – Web Purchases, e-mail responses, Online Memberships </li></ul></ul><ul><ul><li>Retail – Specialty Stores </li></ul></ul><ul><ul><li>Print – Magazine Subscribers and Catalog Buyers </li></ul></ul><ul><ul><li>Telemarketing – Surveys, Inbound and Outbound Purchases </li></ul></ul>
    10. 10. Lifestyle Information <ul><li>Data Accessible at Different Levels </li></ul><ul><ul><li>Yes/No Flag at the Household Level </li></ul></ul><ul><ul><li>Strength of Interest Indicator </li></ul></ul><ul><ul><ul><li>Numeric score of 1 to 9 assigned to each record indicating level of interest </li></ul></ul></ul><ul><ul><ul><li>Based on: Number of Sources, Recency, Frequency and Dollars Spent </li></ul></ul></ul><ul><ul><ul><li>“Scored” records available at Individual and Household levels </li></ul></ul></ul>
    11. 11. Lifestyle Information <ul><li>Top Lifestyle Categories </li></ul><ul><ul><li>Books & Magazines – 46 million </li></ul></ul><ul><ul><li>Technology Internet – 45 million </li></ul></ul><ul><ul><li>Entertainment & Travel – 34 million </li></ul></ul><ul><ul><li>Health & Exercise – 33 million </li></ul></ul><ul><ul><li>Outdoor Recreation – 27 million </li></ul></ul><ul><ul><li>Credit card Users – 37 million </li></ul></ul><ul><ul><li>Cooking – 31 million </li></ul></ul><ul><ul><li>Catalogs – 21 million </li></ul></ul><ul><ul><li>Investments – 15 million </li></ul></ul><ul><ul><li>Stock and Bonds – 6 million </li></ul></ul><ul><li>A complete Lifestyle Data Dictionary containing data element descriptions and counts is available on the infoPedia. </li></ul>
    12. 12. Lifestyle Information <ul><li>Comparison to Competition (in millions) </li></ul>
    13. 13. Consumer Database <ul><li>To ensure accuracy, the following hygiene processes are performed: </li></ul><ul><ul><li>Geographic & Area Code Changes Processed Monthly </li></ul></ul><ul><ul><li>NCOA* Processed Monthly </li></ul></ul><ul><ul><li>DPV* Processed Every Month </li></ul></ul><ul><ul><li>National (FTC) and State Do-Not-Call Lists Processed Monthly </li></ul></ul><ul><ul><li>DMA Do-not-call (TPS) and Do-not-mail (MPS) files Processed Monthly </li></ul></ul><ul><ul><li>Deceased Suppression File Processed Monthly </li></ul></ul><ul><li>infoUSA is a non-exclusive Licensee of the USPS National Change of Address & Delivery Point Validation </li></ul>
    14. 14. Do Not Call <ul><li>infoUSA Suppression </li></ul><ul><li>Federal Trade Commission (FTC) </li></ul><ul><li>State Do Not Call Lists </li></ul><ul><li>Direct Marketing Association (DMA) </li></ul><ul><li>Deceased Master File </li></ul>
    15. 15. infoUSA Marketing Database <ul><li>117 million Households </li></ul><ul><li>218 million Individuals </li></ul><ul><li>Contains the highest quality information, that has been verified in the last 24 months </li></ul><ul><li>Uses - Direct Marketing </li></ul><ul><li>Benefit - Coverage and Selectivity </li></ul>
    16. 16. Universe File – MasterMatch <ul><li>350 million Households </li></ul><ul><li>450 million Individuals </li></ul><ul><ul><li>Contains: </li></ul></ul><ul><ul><ul><li>All records in the Marketing file plus: </li></ul></ul></ul><ul><ul><ul><ul><li>Records not validated in the last 24 months </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Deceased people </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Individuals flagged as “non-solicitation” </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Records at the previous address </li></ul></ul></ul></ul><ul><ul><li>Uses: </li></ul></ul><ul><ul><ul><li>Data append </li></ul></ul></ul><ul><ul><ul><li>Skip tracing </li></ul></ul></ul><ul><ul><ul><li>Fraud prevention </li></ul></ul></ul>
    17. 17. Occupant File Overview <ul><li>Address only file </li></ul><ul><li>Recreated every other month </li></ul><ul><li>ZIP Code/Address Standardization </li></ul><ul><li>Duplicate Elimination </li></ul><ul><li>Delivery Point Validation (DPV) Processed </li></ul><ul><li>Sorted in Walk Sequence </li></ul>
    18. 18. Public Record Characteristics <ul><li>Records provided include*: </li></ul><ul><ul><li>Consumer or Business record filing </li></ul></ul><ul><ul><li>Individual/Business Name </li></ul></ul><ul><ul><li>Individual/Business Address </li></ul></ul><ul><ul><li>File type </li></ul></ul><ul><ul><li>File date </li></ul></ul><ul><ul><li>Release date </li></ul></ul><ul><ul><li>Upload date </li></ul></ul><ul><ul><li>Dollar Amount (Tax Liens only) </li></ul></ul><ul><ul><li>*For complete listing of elements see the layout </li></ul></ul>
    19. 19. Ultimate New Mover File <ul><li>What Is the “Ultimate New Mover File”? </li></ul><ul><ul><li>Weekly transactions of new utility connects and disconnects </li></ul></ul><ul><ul><li>Includes traditional change of addresses sources (Not NCOA) </li></ul></ul><ul><li>Counts </li></ul><ul><ul><li>12-15 million records per year </li></ul></ul><ul><li>What Selects Are Available? </li></ul><ul><ul><li>Includes phones on most records! </li></ul></ul><ul><ul><li>Estimated Age, Estimated Income, Move Date, Estimated Home value </li></ul></ul><ul><li>Update Frequency? </li></ul><ul><ul><li>The file is updated weekly </li></ul></ul><ul><li>How Do I Access? </li></ul><ul><ul><li>Available only via web applications and subscriptions </li></ul></ul>
    20. 20. Ultimate New Homeowner File <ul><li>What Is the “Ultimate New Homeowner” File? </li></ul><ul><ul><li>Enhancement to the homeowner file including: </li></ul></ul><ul><ul><ul><li>County level deed transactions (approx. 2,000 counties) </li></ul></ul></ul><ul><ul><ul><li>Modeled homeowners from utility transactions </li></ul></ul></ul><ul><ul><ul><li>Phone verified new homeowners </li></ul></ul></ul><ul><li>Counts </li></ul><ul><ul><li>4-5 million records per year </li></ul></ul><ul><li>What Selects Are Available? </li></ul><ul><ul><li>Sale Price, Sale Date, Income, Home Value, Marital Status, Phone numbers </li></ul></ul><ul><ul><li>Confirmed homeowner (deed) or Probable homeowner (inferred) </li></ul></ul>
    21. 21. infoUSA Consumer Database <ul><li>Commitment To Quality……. According to an independent study completed by an independent auditor, “ info USA appears to be the strongest competitor based on the high volume of information it contains and the sufficiently high accuracy of its data.” </li></ul>
    1. A particular slide catching your eye?

      Clipping is a handy way to collect important slides you want to go back to later.