CAMEO Denmark Analysis
Danish Consumer Analysis - Advanced Modelling - Targeted Selections
CAMEO Denmark Analysis works alongside CAMEO Denmark providing powerful indicators to further classify and segment the Danish 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 Denmark Analysis in Detail
- Developed using the latest Danish census data built at 20hh level, an amalgamation of 100 metre grid squares.
- Provides additional variables which can be appended to your customer or prospect database for advanced modelling and segmentation:
Variable | Description |
|---|
Adult Age | Low score shows an area sontaining predominantly young people (aged 17-24) and a high score shows an area containing predominantly older people (aged 60+) |
Income | Low score shows an area containing a high proportion of people with a low income (0-149,999Dkr) and a higher score shows an area with a high proportion of people with a higher household income, with the highest score correlating to those earning over 700,000dkr |
Education | Low score shows a basic level of education and a high score shows a high level of education |
Housing Type | Low score shows an area containing predominantly multi-residences, a score in the middle relates to terraced / semi-detcahed properties and a higher score shows an increasing proportion of detached housing |
| Presence of Children | Low score shows an area containing very few children and a higher score shows an increasing presence of children |
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.
