CAMEO Italy Analysis
Italian Consumer Analysis - Advanced Modelling - Targeted Selections
CAMEO Italy Analysis works alongside CAMEO Italy providing powerful indicators to further classify and segment the Italian 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 Italy Analysis in Detail
- Developed using the latest Italian census data built at street segment level.
- Provides additional variables which can be appended to your customer or prospect database for advanced modelling and segmentation:
Variable | Description |
|---|
Presence of Adults Aged Over 60 | Low score shows an area containing few people aged over 60 and a higher score shows an increasing presence of people aged over 60 |
Presence of Children | Low score shows an area containing very few children and a higher score shows an increasing presence of children |
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 |
Employment Industry Sector | Low score represents the primary and secondary sector and higher scores represent the tertiary sector |
Education | Low score represents those with little or no education and a higher score shows an increasing level of education |
House Size | Low score represents houses consisting of just one or two rooms and a higher score shows an increasing number of rooms |
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.
