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Community Tapestry
We use a market segmentation
system to classify U.S. neighborhoods into 65 segments based on
their socioeconomic and demographic composition. Segmentation explains
customer diversity, describes lifestyles and life-stages, and incorporates
a wide range of data such as demographic, business, and market potential
data.
Built by ESRI’s
data development team, Community Tapestry represents the fourth
generation of market segmentation systems that began 30 years ago.
Data used to build Community Tapestry includes Census 2000, ESRI's
current-year demographic data, Acxiom Corporation's InfoBase consumer
database, consumer survey data from Mediamark Research Inc. Doublebase
2004, and other sources.
Download a PDF copy of the Community
Tapestry Handbook.
With Community Tapestry, we can
- Profile your customers
- Determine who your most profitable customers are
- Define your merchandise mix
- Raise your direct mail response rates
- Reveal underserved markets
The Community Tapestry segmentation system provides an accurate, detailed description of U.S. neighborhoods. These residential areas are divided into 65 segments [PDF-1.97 MB, 3 pages] based on demographic variables such as age, income, home value, occupation, household type, education, and other consumer behavior characteristics.
To increase the versatility and analytical value of Community Tapestry, segments are organized into 12 LifeMode Summary Groups [PDF-1.97 MB, 3 pages] with similar demographics and consumer patterns and 11 Urbanization Summary Groups [PDF-1.97 MB, 3 pages] with similar levels of density. Neighborhoods with the most similar characteristics are grouped together, and neighborhoods showing divergent characteristics are separated.
Why Use Community Tapestry?
Segmentation systems operate on the theory that people with similar tastes, lifestyles, and behaviors seek others with the same tastes-hence the adage "like seeks like." These behaviors can be measured, predicted, and targeted. Community Tapestry combines the "who" of lifestyle demography with the "where" of local neighborhood geography to create a model of various lifestyle classifications, or segments, of actual neighborhoods with addresses-distinct behavioral market segments.
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