The key benefit of the Analytic Model and accompanying report is that unlike Profile reports which “descriptive” in nature, the analytic model is “predictive” based on the creation of a custom regression model based on the data provided. This model scores every U.S. household from 1 to 100 with “1” being the most likely to have the characteristics of your customers.
In addition, the custom model is applied to all households in a top consumer database so new prospects can be ordered based on their score. So if you need to reach 30,000 new prospects in a region in which there are 300,000 total households, you could order all households that score in the top 10% or decile. (Other demographic filters can also be applied on top of the model score, as required.)
Using a multi-variate approach invariably provides better results than using the results of a descriptive profile report in which you manually choose continuous ranges from a few single dimensions (e.g., age 50 to 79, Income $100K+) to approximate the best results.