Gain Deeper Insights for Better Targeting. Report Date: 00/00/2016

Transcription

1 Gain Deeper Insights for Better Targeting Report Date: 00/00/2016

2 SnapShot Summary Record Input Summary: Record Type Records Input Matched Match Rate Customers 2,359 1, % Having enough records matched is most important to producing an accurate profile. Top 10 variables out of the universe analyzed Demographic Value / Range Percent Dwelling Type Single Family 98.55% Investments Owns Investments 81.98% Credit Cards Credit Card 74.42% Home Owner Home Owner 74.32% Credit Cards Bank Card 70.72% Investments Owns Mutual Funds 68.95% Gender Male 66.11% Marital Status Married 55.50% Credit Cards Retail Credit 54.75% Children in Household 0 Children 54.16% These are the 10 most important attributes based on the analysis of your customers with the GMG SnapShot profiling process for identifying prospects who look like your existing customers. 2

3 SnapShot Specific Demographics The below demographic elements have been analyzed and penetration analysis information is presented in the subsequent slides. Age Band - Individual Gender Marital Status Ethnicity Group Education Level Occupation Grouping Children in Household Child Ages Estimated HH Income Home Owner Dwelling Type Length of Residence Home Market Value Networth Premium Income Producing Assets Investments Credit Cards Lifestyle Dimensions 3

4 How to Read Penetration Slides Sample Demographic Attribute 1 2,085 47% 1,608 37% 130 Attribute % % 100 Attribute 3 1,710 39% 2,187 50% 78 For each attribute, the relationship between the percentage of your customers sharing the attribute and the percentage of the prospects sharing the same attribute is analyzed to create an index. The higher the index, the greater the success you ve had penetrating that demographic. es above 120 are highlighted and should be considered significant to your overall customer descriptive profile. 4

5 Age Band - Individual The Age Band - Individual select will identify members of the household that meet the given age band criteria (not necessarily the age of the head of household). Data is applied at the household level and is compiled from a variety of sources that may include public data and self-reported information. Age Band - Individual Years Old 12 1% 80 1% Years Old 159 9% % Years Old % 1,082 19% Years Old % 1,147 20% Years Old % % Years Old % % Years Old 108 6% 319 6% 104 5

6 Gender The gender of an individual is typically gathered from self-reported or public information sources, or can be assigned based on the individuals name and/or title. In cases where the individual's first name and title are unknown/ambiguous and no additional sources reflect gender, the gender will be coded as "Unknown." Gender Female % 2,961 52% 50 Male 1,233 66% 2,682 47% 141 Unknown 148 8% 93 2% 489 6

7 Marital Status The Marital Status select indicates if a member of the household is married or single. Data is applied at the household level and is sourced from public records and self-reported sources. Marital Status Married 1,035 55% 2,651 46% 120 Single % 2,330 41% 76 Unknown % % 102 7

8 Ethnicity Group The Ethnic Group Code select identifies the race of the individual on record. Ethnicity Group Unknown 19 1% 111 2% 53 African-American 57 3% 170 3% 103 Asian 36 2% 87 2% 127 Caucasian % 1,050 18% 84 Eastern European 77 4% 198 3% 120 Hispanic % 1,035 18% 98 Mid-Eastern 51 3% 132 2% 119 Western European % 2,887 50% 105 Other 19 1% 66 1% 89 8

9 Education Level Education is used to determine the level of education completed by the consumer. Options include High School, Some College, Completed College, and Graduate School. Education Level High School % 1,384 24% 101 Some College % % 119 Complete College % % 116 Graduate School 72 4% 136 2% 163 9

10 Occupation Grouping Occupation codes are used to identify the specific job title and/or function that an individual holds. Data is applied at the individual level and is sourced from self-reported sources, consumer surveys, warranty registration cards, and more. Occupation Grouping Other/ Unknown % 3,320 58% 91 Professional % 476 8% 124 Technical Sales-Service % % 104 Agricultural 1 0% 4 0% 77 Blue Collar % 492 9% 124 Healthcare 93 5% 275 5% 104 Government 10 1% 20 0% 154 Home Based 103 6% 269 5% 118 Self Employed 11 1% 31 1% 109 Retired 46 2% 162 3% 87 10

11 Children in Household The Children in Household select reflects the number of children under age 18 in a given household. Information is sourced from children's age and gender data which is gathered from a variety of sources that include public records and survey data. Children in Household 0 Children 1,010 54% 3,551 62% 87 1 Child % 1,224 21% Children % 470 8% Children 101 5% 265 5% Children 54 3% 140 2% Children 29 2% 47 1% Children 18 1% 27 0% Children 5 0% 9 0% Children 1 0% 3 0%

12 Child Ages The Children Age Ranges select indicates the ages of children present in the household. This element categorizes ages into groups and includes an indication of the gender. Multiple age ranges can be selected to identify the presence of different age ranges. Data is applied at the household level and is sourced from public records and self-reported data. Child Ages Child Age % 293 5% 112 Child Age % % 124 Child Age % % 121 Child Age % % 132 Child Age % 384 7%

13 Estimated HH Income The Estimate Household Income select indicates the household's estimated annual income in predefined ranges of up to $250,000+. Data is applied at the household level and is sourced from self-reported and modeled information. Estimated HH Income Unknown 4 0% 23 0% 53 $0-$14, % 29 1% 21 $15,000-$19, % 56 1% 38 $20,000-$29, % 180 3% 75 $30,000-$39, % % 45 $40,000-$49, % % 59 $50,000-$74, % 2,529 44% 103 $75,000-$99, % 1,253 22% 142 $100,000-$124, % 187 3% 153 $125,000-$149, % 64 1% 173 $150,000-$174, % 18 0% 120 $175,000-$199, % 18 0% 120 $200,000-$249, % 6 0% 103 $250, % 9 0%

14 Home Owner The Home Owner select identifies of the occupant of the residence is the home owner or a renter. Data is applied at the household level and is sourced from y Recorder records, survey data, and modeled information. Home Owner Unknown % 1,160 20% 66 Renter 117 6% 471 8% 76 Probable Renter 68 4% 273 5% 77 Probable Home Owner 45 2% 111 2% 125 Home Owner 1,386 74% 3,721 65%

15 Dwelling Type Dwelling Type is an indicator of structure type at a given address. Categories include SFDU (Single Family Dwelling Units), MFDU (Multi- Family Dwelling Units), P.O. Boxes, and Trailers. Data is at the address level and compiled from various sources including consumer surveys, public records, warranty registrations, buying activity, and online registrations. Dwelling Type Multi Family 26 1% 93 2% 86 Single Family 1,838 99% 5,638 98% 100 Unknown 1 0% 5 0% 62 15

16 Length of Residence Length of Residence indicates the amount of time that an individual/household has been identified with an address. Data is applied at the household level and is sourced from y Assessor and y Recorder records. Length of Residence Less than 1 Year 1 year 2 Years 3 Years 4 Years 5 Years 6 Years 7 Years 8 Years 9 Years 10 Years 11 Years 12 Years 13 Years 15+ Years % 16% 12% 8% 8% 8% 6% 6% 4% 3% 3% 2% 2% 1% 7% % 14% 12% 10% 8% 7% 6% 5% 4% 4% 3% 2% 2% 1% 9%

17 Home Market Value Home Market Value provides marketers with the estimated market value of the home. Values are calculated from a variety of household level and geographical data sources. Home Market Value Unknown $1,000-$49,999 $50,000-$99,999 $100,000-$149,999 $150,000-$199,999 $200,000-$249,999 $250,000-$299,999 $300,000-$349,999 $350,000-$399,999 $400,000-$449,999 $450,000-$499,999 $500,000-$774,999 $1,000, % 1% 3% 24% 41% 17% 9% 4% 0% 1% 0% 1% 0% ,517 1, % 1% 7% 44% 28% 12% 5% 2% 0% 0% 0% 1% 0%

18 Networth Premium Net Worth Premium ranges selection is an econometric marketing tool that identifies a household s estimated net worth. Data is applied at the household level and is sourced from a proprietary model. Networth Premium Uncoded % 1,461 25% 87 $1-$4, % 21 0% 73 $5,000-$9, % 214 4% 56 $10,000-$24, % % 57 $25,000-$49, % 177 3% 78 $50,000-$99, % % 98 $100,000-$249, % 1,458 25% 116 $250,000-$499, % % 127 $500,000-$999, % 250 4% 138 $1,000, % 37 1% 249 $1,999,999 $2,000, % 16 0%

19 Income Producing Assets Income Producing Assets ranges selection is an econometric marketing tool that ranks individuals based on their taxable invested assets. Data is applied at the individual level and sourced primarily from survey data build into a proprietary model. Income Producing Assets Uncoded % 1,461 25% 102 Less Than $25, % 442 8% 67 $25,000-$49, % 2,995 52% 93 $50,000-$74, % % 137 $75,000-$99, % 32 1% 154 $100,000-$249, % 22 0% 140 $250,000-$499, % 15 0% 267 $500,000-$749, % 7 0% 220 $750,000-$999, % 5 0% 185 $1,000, % 11 0% 84 $1,999,999 $2,000, % 5 0%

20 Investments The Investments select identifies households that own specific types of investments. Data is applied at the household level and is sourced from self-reported consumer surveys. Investments Owns Investments 1,529 82% 3,692 64% 127 Owns Mutual Funds 1,286 69% 2,767 48% 143 Owns Stocks % 1,714 30%

21 Credit Cards The Credit Cards select is a flag that is used to indicate credit card activity for a given household and is typically sourced from retail transaction data. Marketers may benefit from this data as they can see which household are not only actively making purchases but have credit established. Credit Cards American Express Card Bank Card Credit Card Discover Card Gold/Platinum Card Premium AMEX Premium Credit Card Premium Discover Card Premium Retail Card Premium Visa/MC Retail Credit Visa/Mastercard CC Transactions 147 1,319 1, , % 71% 74% 7% 15% 3% 18% 4% 23% 14% 55% 29% 46% 347 3,426 3, , ,583 1,396 2,208 6% 60% 65% 6% 11% 2% 15% 3% 19% 11% 45% 24% 38%

22 Lifestyle Dimensions Lifestyle data features a variety of consumer interest segments that are available for targeting. Data is applied at the household level and is sourced from self-reported surveys. Lifestyle Dimensions Sporty Lifestyle % 2,010 35% 119 Do It Yourself % 1,951 34% 122 Healthy Living % 2,363 41% 117 Luxury Life % 1,160 20% 133 Great Outdoors % 2,026 35% 120 Opportunity % 1,045 18% 108 Home Life % 2,350 41%

23 Lifestyle Dimension Definitions Lifestyle Dimensions use the presence of multiple common interests in a household to show what kind of activities the household members are apt to pursue. Sport Lifestyle Bicycling, Basketball, Skiing, Running, Golf Do it Yourself Motorcycle, Technology, Gadgets, RV s, Woodworking, Sewing Healthy Living Bicycling, Running, Self-Improvement, Health, Natural Food Luxury Life Gourmet, Natural Food, Wine, Fashion Clothing, Home Decor Great Outdoors Hunting, Boating, Fishing, Motorcycle, Camping, Hiking, RV s Home Life Hobby, Reading, Collecting, Crafts, Gardening, Family Opportunity Sweepstakes, Gambling, Travel 23

24 Take the Next Step Today You took the first step purchasing a GMG SnapShot. This report has helped you understand the increased ROI you will achieve when utilizing this model in future marketing campaigns. It is time to take the next step. Run your scored count report today and acquire the fresh data that will drive your marketing ROI higher! Contact us for assistance getting started. Sincerely, Good Marketing Group Contact Us Phone info@goodmarketinggroup.com Website Mailing 580 West Main Street, Suite 3 Trappe, PA