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ALTAIR CUSTOMER PROFILE
Example

Prepared for company ABC
Waterfall Report


  GeoFootprint Consumer Universe Count:                                                                                              37,962,680
  Total Client Count:                                                                                                                     108,958
  Unique Client Count:                                                                                                                     80,881
  Unique CASS Success Count:                                                                                                               76,009
  Unique CASS Success Count By GeoFootprint:                                                                                               75,392
  Unique Appended Count:                                                                                                                   51,876
  Match Rate:                                                                                                                             68.81%
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 our multi-source data files). Only matched records can be included in the
profiling. For this project, we loaded a random representative subset of customer records in our pre-process match routines 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 SCF's.

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 .
Targeted Heat Map
Report
                    Distribution:




                    This map depicts the
                    geographical representation
                    of your customers based on
                    their geo-footprint provided
                    in the processed file.
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
Age Description
Household Type
Gender
Marital Status
Ethnicity
Household Income
Wealth Rating
Level of Education
Presence of Children
Number of Children
(When Present)
Presence of Teens
(13-18)
Length of Residence
Homeowner Status
Dwelling Type
Assessed Median
Home Value
Mail Responder
Donor Behavior
Interests
Buyer Behavior

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Altair Customer Profile 2010

  • 2. Waterfall Report GeoFootprint Consumer Universe Count: 37,962,680 Total Client Count: 108,958 Unique Client Count: 80,881 Unique CASS Success Count: 76,009 Unique CASS Success Count By GeoFootprint: 75,392 Unique Appended Count: 51,876 Match Rate: 68.81% 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 our multi-source data files). Only matched records can be included in the profiling. For this project, we loaded a random representative subset of customer records in our pre-process match routines 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 SCF's. 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 .
  • 3. Targeted Heat Map Report Distribution: This map depicts the geographical representation of your customers based on their geo-footprint provided in the processed file.
  • 4. 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