CAMEO Australia Analysis
Australian Consumer Analysis - Advanced Modelling - Targeted Selections
CAMEO Australia Analysis works alongside CAMEO Australia providing powerful indicators to further classify and segment the Australian population based on their geodemographics and socio-economics.
The additional variables provided can be appended to customer or prospect databases for advanced modelling and segmentation, building of statistical models and targeting selections.
By combining these factors with the CAMEO Classifications, users can multiply their power by thousands, dramatically increasing the granularity of their customer segmentation.
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CAMEO Australia Analysis in Detail
Built at ABS Collection District level and delivered at Mesh Block level using the latest Australian Census of population.
Provides additional variables which can be appended to your customer or prospect database for advanced modelling and segmentation:
Variable | Description |
|---|
Presence of Children under 15 | Low score shows an area containing very few children and a higher score shows an increasing presence of children |
Age | Low score indicates an area with a young population and a higher score indicates an ageing population |
Income | Low score shows an area containing a high proportion of households earning a low income and a higher score representing those on a higher income |
Weekly Rent | Low score represents a low weekly rent payment and a higher score representing a higher weekly rent |
Household Size | Low score shows an area containing a high proportion of single person households and a higher score shows an increasing household size, with the highest scores representing households of 6 or more people |
Work Sector | Low score represents those working within the primary sector and a higher score shows those working in tertiary and quaternary sectors |
Occupation | Low score represents those working in manual and unskilled jobs and a high score representing those in skilled and managerial jobs |
- The continuous scores are ideal for applications such as building statistical models and target selections and are normally distributed with an average of zero.
- Factor scores are also available grouped in to ten equal 10% deciles where the lowest factor score equates to decile 1, increasing up to the highest score falling in decile 10.
