Now you can incorporate both demographic AND psychographic data by Zip Code to define your best prospects and increase response and mailing results.
How Model 99 Works:
Zip code numbers are too numerous to analyze individually, so we cluster zip codes with similar demographics and geographics. We then use this information to select only those names that meet your specific criteria.
We do not evaluate individual zip codes-- the numbers would not be statistically valid. Instead, zip codes are grouped into homogeneous cells by wealth, mobility, market size and state. The homogeneity of each cell enables you to use this technique as a very accurate selection.
We guarantee an improvement in mailing results of between 20% and 35% when you use Model 99.
Sample Summary Portions of a Model 99 Study
Decile Group Households Mail Quantity Response Quantity Response Percent Index
|
Decile |
Group
Households |
Mail
Quantity |
Response
Quantity |
Response
Percent |
Index |
|
1 |
9,103,021 |
113,327 |
9,155 |
8.07 |
203 |
|
2 |
9,536,211 |
113,254 |
6,433 |
5.68 |
143 |
|
3 |
9,279,538 |
113,160 |
5,401 |
4.77 |
120 |
|
4 |
8,995,934 |
113,260 |
4,755 |
4.19 |
106 |
|
5 |
8,537,435 |
113,495 |
4,292 |
3.78 |
95 |
|
6 |
9,479,160 |
113,393 |
3,854 |
3.39 |
85 |
|
7 |
9,165,026 |
113,558 |
3,491 |
3.07 |
77 |
|
8 |
9,695,486 |
113,242 |
3,116 |
2.75 |
69 |
|
8 |
9,882,545 |
113,206 |
2,685 |
2.37 |
60 |
|
10 |
12,208,836 |
110,081 |
1,759 |
159 |
40 |
|
Total: |
95,883,192 |
1,129,976 |
44,941 |
3.97 |
100 |
If the mailing in levels 9 and 10 had been concentrated in level 1, an additional 13,575 responses would have been produced, with the overall response rate going from 3.97% to 5.18% for an improvement of over 30%.
By concentrating future mailings in only the top 3 deciles, your overall response would have increased by 6.18% or almost 56% above average!