Neighbourhood Profiling
About Product
The Neighbourhood Profiling data set provides unique geodemographic classifications for profiling, segmenting and targeting consumer markets.
What's key?
- Built from a wide range of data variables such as household income, qualifications, car ownership and languages spoken
- Households are classified into main groups and can be further subdivided into neighbourhood categories
- All the datasets can be offered under an annual or perpertual licence. Updates are available upon renewal
Data Type: Neighbourhood Profiles
How is it used?
- Enhance & segment consumer databases
- Understand your customers & responders through profiling
- Locate more prospects by finding look-a-likes using targeted direct mail, telecanvassing, door-to-door canvassing & leaflet drops
- Perform catchment area & site location analysis
- Screen mailing, telephone canvassing or door-to-door lists
- Understand market potential and use in strategic planning, setting sales targets and evaluating site performance
- Perform advanced statistical analysis & modelling
Attributes
- Address components
- Groups (such as Affluent Families, Wealthy Neighbourhoods Nearing Retirement)
- Categories (such as Retired Professional Households, Young Couples & Families In Mixed Tenure)
- Some datasets come with an international code to enable comparison between markets in different countries.
- Longitude and latitude co-ordinates
Australia |
Austria |
Belgium |
Brazil |
Canada |
China |
Colombia |
Croatia |
Cyrprus |
Czech Republic |
Denmark |
Egypt |
Estonia |
Finland |
France |
Germany |
Greece |
Hong Kong |
Hungary |
Indonesia |
India |
Ireland |
Italy |
Japan |
Korea |
Kuwait |
Latvia |
Lithuania |
Malta |
Mexico |
Netherlands |
New Zealand |
Norway |
Peru |
Philippines |
Poland |
Portugal |
Puerto Rico |
Republic of Ireland |
Romania |
Russia |
Singapore |
Slovakia |
Slovenia |
South Africa |
South Korea |
Spain |
Sweden |
Switzerland |
Turkey |
United Arab Emirates |
United Kingdom |
United States of America |
Uruguay |
The data is available for many countries and for example, UK data is built from over 800 consumer insights, 400 Census variables, a range of Government datasets including property information , TGI (Target Group Index behaviour and brand buying data) and risk data such as credit risk.
Truly international, this data includes individual classifications for each nation but it also provides international classifications that enable the user to segment the market across borders in a consistent way.
This enables you to profile your current customer base and then locate and target ‘look-a-like’ consumers in other countries.