Consumer Vitality (USA) focuses on consumers. The product was developed using a geographically intensive, data-driven algorithm including Precisely's Spectrum Spatial technology to capture geographies' desirability relative to their local neighbors, cross-country companions, and all intervening geographic levels. By including multiple levels and types of geography, the Consumer Vitality (USA) algorithm considers macro and micro socioeconomic and geo-economic factors and trends. Consumer Vitality (USA) then combines these scores into a final score through a nested linear weighting schema.
The Consumer Vitality score is normalized to a national average of 100, with higher scores reflecting more-desirable areas. Block Groups that have a score of 100 do not necessarily have the same underlying characteristics everywhere in the country. This is a core strength of Consumer Vitality (USA), in that the score accounts for the importance of context and relativity. Areas with very similar descriptive statistics can have different levels of desirability Note that a small portion of Block Groups have no Consumer Vitality values (index = 0, qualitative description is blank) due to insufficient data.
Consumer Vitality (USA) measures a true sense of desirability that matches the complex way humans interpret it. In addition to filling a business-wide knowledge gap, this multi-level algorithm also makes Consumer Vitality (USA) more robust because of the its high volume of calculations and geographical multidimensionality.