This work was borne out of a need to understand the recruitment market. What resulted was a way to understand the business revenue generated in any area within Australia.

This analysis can be used as the front end to a phenomenal number of important business strategies. Are you the kind of company that would be interested in understanding the geographic demand for resources by either industry or company size?


Would you like to discuss or use the following information to help you with your particular business problem? Perhaps you would like some help with an office relocation project or you need some original analysis or strategy developed. If so, please CONTACT me …

In any business planning decision, competitor analysis is often required to understand the operating procedures margins and goals of competitor and target recruitment companies. Analysis was performed on the typical recruitment franchise models as their fee structures whilst different would still need to be matched on value. During this process it was found that a company’s value was also highly related to its location. This was when I decided to develop a method of understanding the potential recruitment revenue for any region. A positive spin off of this analysis is that the front end data tables can be adapted to many other business uses.


  • The Business Development model that I created enables the potential recruitment revenue of any area within Victoria (Melbourne and Regional, and WA) to be estimated. This model showed clusters of businesses by location segmented by industry and employee number.
  • The model can be adapted to cover any other Australian state and region within that state.
  • This model was invaluable in helping choose a more lucrative office relocation in Greater Melbourne.
  • Using similar data sets I created white papers on how to identify 'IT professional worker' locations in Metropolitan Melbourne for reverse marketing. The following tables show some of the ‘large picture’ data sets that I can create for businesses.

New business development strategy 

There are an infinite way to 'slice and dice' these forms of data tables. I have chosen some of the more useful ways below:

Southbank and Docklands business numbers

The table below shows statistics for 2007 for a very high business growth area within Melbourne. The values in the cells show the number of businesses per employee number category (columns) by Industy type (rows). If you are recruiting for a certain industry, selling products or services to an industry or want to located near a given industry, this table shows the potential of the Southbank / Docklands area, based on employee size/ company (column headings):


Inner Melbourne MLA region map

The Docklands area table above relates to the area shown in the middle of the map (just below the Melbourne CBD area) below.

Inner Melbourne Map

Inner Melbourne Business Employee Costs

The table below represents the total wages value for businesses in region in yellow in the above map. The cell entries below represent the employee wage costs for a given 'employee number' category (columns) by Industy type (rows). For instance the table shows that in small employee companies (1 to 4 persons) that Agriculture companies pay $6.2M in wages, while 'Property and Business' companies pay $696M.

Similar statistics can be found purely for identifying regions based on business revenue. However some high revenue businesses often have very few employees and are esssentially shelf companies used as financial instruments. And in that case models based on business revenue alone may be of little value for identifying business prospects for B2B selling.

If you are prospecting certain size companies (based on employee number), in specific industries and want to be located near the largest target pool, this kind of table can be quite useful.

Columns = employees per company.


The table showing the  the Total 'Greater Melbourne Potential recruitment revenue' per major region is shown in the Market Research section of this site.


While these tables are based on estimating the total potential recruitment revenues for any region, I can provide similar tables that show total revenues for all businesses in any region, or a variation there of.