Products   |   Partners   |   About Telecompetition   |   Customers   |   Contact Us   

 

 

Methodology Detail

System Input

Methodology & System

Ativa Research Tools

Illustrations

Process and Methods

TRAFFICast

Conversion

 

Illustrations

To illustrate the methodology used by ativa.gif (499 bytes)let’s take the Colorado market as an example and ask two hypothetical questions:

    • In the year 2000, how do the counties in Colorado rank in terms of revenue potential for business BRI (ISDN) and why?
    • What factors besides sheer population numbers are considered in these projections

First I submit a query into the Telecompetition® ativa.gif (499 bytes)database which then outputs the following projections:


ISDN Potential in Colorado

Business Segment – 2000 ($M)

 

Table I   Table II

Top 5 Highest Revenue Potential

Top 5 Highest Revenue Potential

Rank County Revenue Rank County Revenue
1 Denver $ 9.2 1 Mineral $ .016
2 El Paso $ 5.3 2 Kiowa $ .015
3 Arapahoe $ 4.6 3 Crowley $ .014
4 Jefferson $ 4.3 4 San Juan $ .011
5 Adams $ 4.2

 

5

Hinsdale

$ .008

Source: Telecompetition, Inc. using ativa.gif (499 bytes)

Not surprisingly, 4 of the six counties in the Denver standard metropolitan area come out in the top five. Sheer population size is, after all, the biggest geographic driver of telecommunications service volume. But, it is not the only driver, and the revenue projections produced by ativa.gif (499 bytes)are not based solely on residential population. ativa.gif (499 bytes)uses population volumes as part of the allocation algorithm, but there several other factors used as well, including

    • Household population by age and income,
    • Workforce population by occupation and industry and
    • Product specific propensity-to-buy profiles.
    • Geographic specific qualitative factors

A comparison of the ranking of population size to revenue potential (Table III) validates that other factors besides sheer population volumes are used by ativa.gif (499 bytes).

    • Jefferson county, ranking second in population rank is ranked fourth for potential revenue.
    • El Paso County (Colorado Springs) is second in potential revenue ranking, but third in population – ahead of Arapahoe, Jefferson or Adams which are all considered part of the Denver metro area.
Table III

Highest Revenue Potential - ISDN

Population volume is only one of the many factors used by to determine potential revenue.

Potential Revenue Rank

Residential Population Rank

County

Residential Population

(000)

1

1

Denver

535

4

2

Jefferson

534

2

3

El Paso

525

3

4

Arapahoe

504

6

5

Boulder

332

5

6

Adams

331

Source: Telecompetition® using ativa.gif (499 bytes)

 

[Proceed to Process & Methods]

Standard or custom data files and reports are available.  Call today for pricing.

Healy & Co

2410 Camino Ramon,

Suite 359

San Ramon, CA 94583

USA

 

Tel: (925) 543-5701
Fax: (925) 543-5720

 

info@telecompetition.com

 

Copyright © 2008 Healy & Co