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Geodemographics uses geographical information, typically census and other sociodemographic and consumer statistics for very localized geographical areas, to improve the targeting of advertising and marketing communications, such as mail shots and door drops, and to optimize the location of facilities or businesses. The central goal of geodemographics is to classify people according to the type of residential neighborhood in which they live. The segmentation scheme (that is, the system of classification) is developed through complex proprietary spatial and nonspatial statistical procedures that group neighborhoods according to their similar combinations of geographic, demographic, and consumer characteristics.

For example, a geodemographic classification might determine that residents living between the 1200 block and the 1600 block of Ash Street are likely to buy a lot of encyclopedias and eat frozen yogurt. Geodemographic classifications can be accessed via GIS or directly through tabular information relating geographic locations to classification segments.

Geodemographics classifies residential neighborhoods into a set number of residential neighborhood types. The number of categories typically ranges from around 35 in relatively homogeneous markets, such as the Republic of Ireland, to about 60 or 70 in more complex markets, such as the United States. Classifications are typically assigned to geographic locations using the finest level of geography for which census statistics are published and/or the lowest level in a country's mail code geography (for example, U.S. ZIP codes). Thus, potential customers can be geodemographically coded by their addresses using a table containing the assigned classification code for each geographical unit. In countries where mail codes are not used, address recognition software identifies the census area in which the customer's address falls and then looks up the corresponding geodemographic category.

Use of Demographics in Marketing

In recent years, as media channels have become more fragmented and consumers more discriminating in their preferences, businesses have recognized the value of information that helps them become more selective in deciding to whom they communicate and through which channels. They increasingly seek the means of segmenting consumers into categories in which the constituent members are broadly similar in terms of needs and values, propensity to purchase their products, and responsiveness to different kinds of communications.

Previously, advertisers and agencies have had to rely on demographic characteristics, such as gender, age, social class, and terminal education age, to create these segments. While these characteristics are helpful when an advertiser is targeting consumers through mass media, such as television, radio, or print advertisements, they have limited value with interactive channels, such as the telephone, direct mail, or the Internet, since this information is seldom known about individual consumers at the point of contact.

Examining computerized records of consumer behavior associated with the residential location of individual consumers can make it possible to profile the demographic characteristics of consumers who have the highest propensity to exhibit specific sets of behaviors. These profiles are then used to classify all existing neighborhoods. Thus, a consumer's address can be used to determine the type of neighborhood in which he or she lives and thus to predict what products, services, or media are most likely to appeal to him or her. This information can be used to select the optimal communications strategy for reaching that person.

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