McGRAW Consumer Masterfile | 240 MM Total Universe Mailing List

We have specialized in Consumer Data for over 15 years and over 137 attributes available, we are the best source for up-to-date consumer records on the market. Nowhere else will you find more complete and accurate information on U.S. households, including individuals by name and age, lifestyle interests, hobbies, purchase behavior, and ethnicity, along with detailed financial-related data such as mortgage, wealth, and credit attributes.

SEGMENTS COUNTS THROUGH 02/19/2025
240,000,000 TOTAL UNIVERSE / BASE RATE $30.00/E
DESCRIPTION

The dataset encompasses a broad range of attributes for individual consumers, capturing key details such as:

  • Personal Information: First and last names, gender, date of birth, and marital status.
  • Contact Information: Address details, phone numbers, and email addresses.
  • Demographic Information: Ethnic group, language preference, and household composition.
  • Financial Data: Estimated income, net worth, mortgage details, and homeowner status.
  • Interests and Hobbies: Information on hobbies, recreational activities, and lifestyle preferences.
  • Geolocation Data: Latitude, longitude, census tract, and other geographical indicators.
  • Occupational Data: Occupation group, specific occupation, and related job details.

With 90+ attributes, this dataset provides a granular view of each individual, making it an invaluable asset for businesses seeking to understand and engage with their target audience effectively.

 

 

Use Cases

  1. Targeted Marketing Campaigns:

    • Use detailed demographic and interest data to create highly targeted marketing campaigns that resonate with specific consumer segments.
    • Develop personalized content and offers based on consumer preferences and behaviors.

  2. Market Research and Analysis:

    • Conduct in-depth market research to identify emerging trends, consumer needs, and opportunities for product development.
    • Analyze geographic and demographic data to better understand regional market dynamics and consumer distributions.

  3. Customer Segmentation:

    • Segment customers into distinct groups based on various attributes such as age, income, interests, and household characteristics.
    • Tailor marketing strategies and communication plans to each segment for higher engagement and conversion rates.

  4. Predictive Analytics:

    • Utilize the dataset to build predictive models for customer behavior, lifetime value, and potential churn.
    • Implement data-driven decision-making processes to enhance business strategies and outcomes.

  5. Sales and Lead Generation:

    • Enhance lead generation efforts by identifying high-potential prospects using financial and interest-based data.
    • Equip sales teams with rich consumer profiles to facilitate more effective and personalized sales interactions.

Output and Selects:

  • AddressID
  • IndividualId
  • personfirstname
  • personmiddleinitial
  • personlastname
  • PersonSurnameSuffix
  • persontitleofrespect
  • housenumber
  • predirection
  • streetname
  • streetsuffix
  • postdirection
  • unitdesignator
  • unitdesignatornumber
  • primaryaddress
  • secondaryaddress
  • state
  • ZipCode
  • Zip_4
  • del_point_check_digit
  • msa
  • countycode
  • countyname
  • citynameabbr
  • cityname
  • carrier_route
  • censustract
  • censusblock
  • latitude
  • longitude
  • timezone
  • Xaxis
  • Yaxis
  • Zaxis
  • dpv_code
  • NumberOfSources
  • dwellingtype
  • secondaryaddresspresent
  • livingunitid
  • RDID
  • areacode
  • Phone
  • estimatedincomecode
  • homeownerprobabilitymodel
  • lengthofresidence
  • lengthofresidencecode
  • numberofpersonsinlivingunit
  • presenceofchildren
  • NumberOfChildren
  • ChildrenAge00_02
  • ChildrenAge00_02Male
  • ChildrenAge00_02Female
  • ChildrenAge00_02Unknown
  • ChildrenAge03_05
  • ChildrenAge03_05Male
  • ChildrenAge03_05Female
  • ChildrenAge03_05Unknown
  • ChildrenAge06_10
  • ChildrenAge06_10Male
  • ChildrenAge06_10Female
  • ChildrenAge06_10Unknown
  • ChildrenAge11_15
  • ChildrenAge11_15Male
  • ChildrenAge11_15Female
  • ChildrenAge11_15Unknown
  • ChildrenAge16_17
  • ChildrenAge16_17Male
  • ChildrenAge16_17Female
  • ChildrenAge16_17Unknown
  • persongender
  • persondateofbirthyear
  • persondateofbirthmonth
  • persondateofbirthday
  • personexactage
  • personagecode
  • Males_18_24
  • Females_18_24
  • Unknowngender_18_24
  • Males_25_34
  • Females_25_34
  • Unknowngender_25_34
  • Males_35_44
  • Females_35_44
  • Unknowngender_35_44
  • Males_45_54
  • Females_45_54
  • Unknowngender_45_54
  • Males_55_64
  • Females_55_64
  • Unknowngender_55_64
  • Males_65_74
  • Females_65_74
  • Unknowngender_65_74
  • Males_75_Plus
  • Females_75_Plus
  • Unknowngender_75_Plus
  • personmaritalstatus
  • InferredAge
  • occupationgroup
  • personoccupation
  • ethniccode
  • languagecode
  • ethnicgroup
  • HomeOwnerRenterStatus
  • DonorFlag
  • DonorCategory
  • HobbiesInterests
  • RecreationalActivities
  • HealthMedical
  • Occupation
  • Finance
  • Investment
  • Automotive
  • Retail
  • Technology
  • Travel
  • RealEstate
  • Pets
  • HomeOffice
  • HouseholdSize
  • NumberofAdults
  • NumberofChildren
  • NumberOfSeniors
  • NetWorth
  • Income
  • WealthRating
  • HomeEquity
  • Mortgages
  • Education
  • PoliticalParty
  • Religion
  • PresenceOfComputers
  • NumberOfComputers
  • OwnComputer
  • InternetUser
  • CreditRating
  • Bankruptcy
  • Investments
  • PresenceOfPets
  • MagazineSubscriptions
  • CatalogPurchases
  • DirectMailBuyers
  • MailOrderBuyers
  • ReadingMaterial
  • CharitableContributions
  • OutdoorActivities
  • LeisureActivities
  • Hobbies
  • SportsActivities
  • ShoppingPreferences
  • FinancialBehavior
  • LoanAmount
  • LoanToValue
  • MortgageAmount
  • MortgageLenderName
  • MortgageLenderNameAvailable
  • MortgageRate
  • MortgageRateType
  • MortgageLoanType
  • TransactionType
  • DeedDateOfRefinanceYear
  • DeedDateOfRefinanceMonth
  • DeedDateOfRefinanceDay
  • RefinanceAmount
  • RefinanceAmountCode
  • RefinanceLenderName
  • RefinanceLenderNameAvailable
  • RefinanceRateType
  • RefinanceLoanType
  • CensusMedianHomeValue
  • CensusMedianHouseholdIncome
  • CRA_IncomeClassificationCode
  • MostRecentMortgageAmount
  • PurchaseMortgageAmount
  • MostRecentMortgageDate
  • PurchaseMortgageDate
  • MostRecentMortgageLoanType
  • MostRecentMortgage2ndLoanType
  • PurchaseLenderCode
  • MostRecentLenderCode
  • PurchaseLenderName
  • MostRecentLenderName
  • Purchase2ndMortgageLoanType
  • Sewer
  • Water
  • LoanToValue
  • PassProspectorValueHomeValue
  • EMAILFLAG
  • NCOA_Effective_date
  • DONOTCALL
  • NAME
  • PO_BOX_FLAG
  • EMAIL
  • URL
  • IP
  • DATE
  • Individual_Match_Flag
  • Email_Score
  • WirelessPhone
ORDERING INSTRUCTIONS
POPULARITY: 98
MARKET: CONSUMER
CHANNELS: Mailing List Email List Telephone List SMS Text Program   
SOURCE: MULTI SOURCED 
PRIVACY: UNKNOWN 
DMA?: NO
STATUS: STANDARD PROVIDER
GEO: USA 
SELECTS
IN DESCRIPTION   
ADDRESSING
KEY CODING  NOT AVAILABLE
FTP  $25.00/F
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