CAMEO Canada Analysis
Canadian Consumer Analysis - Advanced Modelling - Targeted Selections
CAMEO Canada Analysis works alongside CAMEO Canada providing powerful indicators to further classify and segment the Canadian 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 Canada Analysis in Detail
Built using the latest Canadian Census of the population at dissemination block level and delivered by 6 digit postcode for appending to customer databases.
Provides additional variables which can be appended to your customer or prospect database for advanced modelling and segmentation:
Variable | Description |
|---|
Presence of Children | Low score shows an area with a low percentage of children and a higher score shows an increasing presence of children. |
Presence of people age 20 and over | Low score indicates a relatively young population compared to the national average, and a high score indicates an ageing population. |
Family size | Low score shows an area containing a high proportion of smaller families of 2 people and a higher score shows an increasing household size, with the highest scores representing households of more than 4 people. |
Property Type | Low score represents an area of almost exclusively detached properties and a high score represents an area of high density flats and apartments. As the factor score increases from the minimum, the proportion of semi-detached housing increases, followed by an increase in row housing. |
Income | Low score shows an area containing a high proportion of households earning a low income, (under C$20k) and a higher score representing those on a higher income (over C$40k). |
- These scores are ideal for a number of applications such as building statistical models and target selections.
- 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.
