Process & Methodology 

As a first step in creating the output shown in Tables I and II, a national forecast is derived and input into the database:

Secondly, allocation fractions are then calculated and applied to the national forecast – consistency with the national forecast is maintained at all times so that there can be no "double counting" that would result in the combined total of all counties exceeding the total national number.

Workforce Population Volume

The first factor in the allocation fraction is workforce population by occupation statistics for Colorado and its counties. The volume of workforce population explains why El Paso County ranks second in revenue potential for ISDN. While third in total population, El Paso County has the second highest workforce population in Colorado.

 These differences are a result of more sophisticated modeling of buying propensity differences among different occupations, age and income categories and geographic areas. weights population volume data and incorporates a variety of weighting coefficients that reflect the qualitative factors only an experienced industry analyst can effectively assess.

Propensity-to-Buy by Occupation

So in the case of El Paso county, not only does it have a larger workforce population than most of the Denver metro area counties, but it also has one of the highest percentages of those occupations considered high usage occupations.

Other geographic specific factors are also applied as required to more fully consider the opportunity potential. These factors include vertical industry, adoption / substitution rate, establishment size, general economic health, service availability and other demographic and psychographic variables.