1 / 31

Virtual DBS Penetration Analysis

Virtual DBS Penetration Analysis. Example B2C V-Profiler. Geofootprint Consumer Universe Count: 2,992,494 Total Client Count: 6,823 Deliverable Addresses : 6,623 Unique Client Records : 5,135 Unique Appends: 3,669 Unique Match Rate: 71 %

khoi
Télécharger la présentation

Virtual DBS Penetration Analysis

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Virtual DBS Penetration Analysis Example B2C V-Profiler

  2. Geofootprint Consumer Universe Count: 2,992,494 Total Client Count: 6,823 Deliverable Addresses: 6,623 Unique Client Records: 5,135 Unique Appends: 3,669 Unique Match Rate: 71% Matching to Demographics: A waterfall report in this context is a summary of what occurs with customer records as they go through the enhancement process (match and append demographics from out multi-source data files). Only matched records can be included in the profiling. For this project, we loaded all customer records and succeeded in matching-and-appending demographics to a statistically significant amount of records, producing strong statistical reliability within the profile. Sample Comparison: The defined universe is based on a GeoFootprint, dynamically created from your customer base. This GeoFootprint is based on statistically significant SCFs with at least 5 populated records. Interpreting the Report: In the following charts Green Bars are a "Go" and indicate significant over-penetration of customers (index values > 115). Yellow bars are "Cautionary" as they represent slight over-penetration (index values 85-115) yet may be very important predictors when they are combined with other demographics. Red bars are a "Stop" (index values <85) as they represent areas of under-penetration within the market and do not discriminate customer characteristics from a Consumer Universe. vProfiler version 1.8.9

  3. Distribution: This map depicts the geographical representation of your customers based on their geo-footprint provided in the processed file. Heat Map Report

  4. Targeted Heat Map Report This map depicts the geographical representation of your customers based on their geo-footprint provided in the processed file. Distribution:

  5. Region East North Central: IL, IN, OH, MI, & WI East South Central: AL, KY, MS, & TN Middle Atlantic: NJ, NY, & PA Mountain: AZ, CO, ID, MT, NV, NM, UT, & WY New England: CT, ME, MA, NH, RI, & VT Pacific: AK, CA, HI, OR, & WA South Atlantic: DE, FL, GA, MD, NC, SC, VA, DC, & WV West North Central: IA, KS, MN, MO, NE, ND, & SD West South Central: AR, LA, OK, & TX

  6. Number of Children (When Present)

  7. Assessed Median Home Value

  8. 3313 - Urban: Autumns, High Income, Families 3323 - Suburban: Autumns, High Income, Families 2323 - Suburban: Summers, High Income, Families 3311 - Urban: Autumns, High Income, Singles 2313 - Urban: Summers, High Income, Families 3321 - Suburban: Autumns, High Income, Singles 2311 - Urban: Summers, High Income, Singles 4313 - Urban: Winters, High Income, Families 3312 - Urban: Autumns, High Income, Couples 2221 - Suburban: Summers, Middle Income, Singles

  9. Descriptions Springs Urban Springs are made up of younger 18 - 24 year olds who reside in Urban areas with lower levels of annual income under $40,000, or mid level income levels in the range of $40,000 - $74,999, or higher levels of annual income in the $75,000+ range and are comprised of singles, couples and families. Suburban Springs are made up of younger 18 - 24 year olds who reside in suburban areas with lower levels of annual income under $40,000, or mid level income levels in the range of $40,000 - $74,999, or higher levels of annual income in the $75,000+ range and are comprised of singles, couples and families. Rural Springs are made up of younger 18 - 24 year olds who reside in rural areas with lower levels of annual income under $40,000, or mid level income levels in the range of $40,000 - $74,999, or higher levels of annual income in the $75,000+ range and are comprised of singles, couples and families. Summers Urban Summers are made up of prime age 25 - 44 year olds who reside in Urban areas with lower levels of annual income under $40,000, or mid level income levels in the range of $40,000 - $74,999, or higher levels of annual income in the $75,000+ range and are comprised of singles, couples and families. Suburban Summers are made up of prime age 25 - 44 year olds who reside in suburban areas with lower levels of annual income under $40,000, or mid level income levels in the range of $40,000 - $74,999, or higher levels of annual income in the $75,000+ range and are comprised of singles, couples and families. Rural Summers are made up of prime age 25 - 44 year olds who reside in rural areas with lower levels of annual income under $40,000, or mid level income levels in the range of $40,000 - $74,999, or higher levels of annual income in the $75,000+ range and are comprised of singles, couples and families. Autumns Urban Autumns are made up of middle age 45 - 64 year olds who reside in Urban areas with lower levels of annual income under $40,000, or mid level income levels in the range of $40,000 - $74,999, or higher levels of annual income in the $75,000+ range and are comprised of singles, couples and families. Suburban Autumns are made up of middle age 45 - 64 year olds who reside in suburban areas with lower levels of annual income under $40,000, or mid level income levels in the range of $40,000 - $74,999, or higher levels of annual income in the $75,000+ range and are comprised of singles, couples and families. Rural Autumns are made up of midde age 45 - 64 year olds who reside in rural areas with lower levels of annual income under $40,000, or mid level income levels in the range of $40,000 - $74,999, or higher levels of annual income in the $75,000+ range and are comprised of singles, couples and families. Winters Urban Winters are made up of mature age 65+ year olds who reside in Urban areas with lower levels of annual income under $40,000, or mid level income levels in the range of $40,000 - $74,999, or higher levels of annual income in the $75,000+ range and are comprised of singles, couples and families. Suburban Winters are made up of mature age 65+ year olds who reside in suburban areas with lower levels of annual income under $40,000, or mid level income levels in the range of $40,000 - $74,999, or higher levels of annual income in the $75,000+ range and are comprised of singles, couples and families. Rural Winters are made up of mature age 65+ year olds who reside in rural areas with lower levels of annual income under $40,000, or mid level income levels in the range of $40,000 - $74,999, or higher levels of annual income in the $75,000+ range and are comprised of singles, couples and families.

  10. Example:B2C VProfiler Plus Next Steps... Scoring and VProfiler Plus Example VProfiler Deliverable Included Below

  11. Example:VProfiler-Plus Predictive Drivers Investments Example VProfiler Deliverable

  12. Example:VProfiler-Plus Model Performance and Validation Model performance indicates that deciles 1-4 have the greatest lift. Detection of seeds suggests that mailing to 20% of the top scoring records would yield a probability of capturing 60% of responders, while mailing to 30% of the list would yield a probability of capturing nearly 70% of responders in top 2 probability tiers Example VProfiler Deliverable

  13. Example:VProfiler-Plus Scoring Validation Counts by Top 10% of Scored Data Example VProfiler Deliverable

  14. Example: VProfiler-Plus Model and VDBS Scored Prospect Random Sample Top 10% Sample Data (Probability Tier 1 Most Likely) Example: VProfiler-Plus Model and VDBS Scored Prospects Random Sample Bottom 10% Sample Data (Probability Tier 10 Least Likely) Example VProfiler Scoring Deliverable

  15. End Example Virtual DBS B2C VProfiler-Plus Scoring Report • Next Steps: • Score Universe of Prospects • Select Top Scoring Records • Develop Campaign Strategies • Track and Evaluate

More Related