Our CAMEO UK datasets categorise and describe the likely characteristics of groups of households or postcodes and the people who live there. Group and categorising geographical areas and people in this way is sometimes called "segmentation".
CAMEO contains modelled data, which means it is inferred or estimated based on other information we hold such as the areas in which people live. For example, CAMEO data can be based on estimates of the average age, income, wealth and education level of the residents of an area, how rural or urban the area is, and what sort of properties there are there.
Our CAMEO data is available at two levels:
- Postcode level: Where CAMEO is held at postcode level, we do not consider it to be personal data because it only describes the likely characteristics of a population across entire postcodes. It does not identify individuals or distinguish between them.
- Household level: Where CAMEO is held at household level it has the potential to be personal data depending on how many people are in a particular household. Because we do not know at any point in time how many people are living in a household, we treat the entire CAMEO household level dataset as personal data as a precaution.
In either case, where CAMEO data is associated with a specific individual's name and address and used to make decisions affecting that individual, it is that person's personal data.
We supply CAMEO UK to our clients for a range of different purposes. For example, clients might use it to help understand the likely characteristics of their customers, or to decide the geographical areas on which to focus their marketing activity, depending on the types of product they sell.
Similar datasets are also available for other countries.
What we do and don't do with this data
We do...
- use non-personal datasets from third parties to help build our CAMEO products, including via statistical analysis, modelling and profiling, to help clients target their advertising and make it more relevant to individuals;
- use credit reference data (but not any financial information) for statistical analysis, modelling and profiling to work out average ages and numbers of adults per household to help build our CAMEO product; and
- supply CAMEO data to clients to help them better understand their customer base and to help target their marketing at appropriate groups of customers.
We don't...
- include any individual's financial credit reference data as part of CAMEO.