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Simmons Consumer BehaviorBased on the Simmons Market Research Bureau (SMRB) surveys, this consumer behavior database offers insight into the consumption patterns and preferences of consumers. A total of 2679 variables have been loaded from the Simmons survey. This is the latest ‘doublebase’ survey from 2005. Additional variables may be obtained from AGS, as Simmons has provided to us the Choices software which enables extraction of additional variables. The following general categories of information are provided:
Methodology and Data SourcesThe Consumer Behavior database is derived from an analysis of the SMRB surveys using MOSAIC. The records in the SMRB survey are geocoded then assigned the MOSAIC code of the block group. The results are then summarized for each variable over the sixty segments, in effect providing the average value for each MOSAIC segment. For example, a variable such as “Visited Jack-In-The-Box” is computed by summarizing the records for each segment as a yes/no response, then finding the average percentage of households in each segment that went to Jack-In-The-Box. This is often referred to as a profile.
The profile is then applied to geographic areas by making the assumption that households in demographically similar neighborhoods will tend to have similar consumption patterns as a result of their similar economic means, life stage, and other characteristics. The result is a series of estimates for geographic areas which measure the relative propensity of consumers in each geographic area to eat at particular restaurants, own various household items, and engage in activities.
In most cases, these should be considered as relative indicators, since local differences may result in different behavior. In addition, in some cases, variables must be considered as potential only, since the activity or store may not be locally available.
The Consumer Behavior database is derived from an analysis of the SMRB surveys using MOSAIC. Each record in the SMRB survey is coded to a MOSAIC segment. The summarized profiles by MOSAIC segment are then used to derive indexes and penetrations that are applied to the block group level. The basic assumption is that people in demographically similar neighborhoods will tend to have similar consumption, ownership, and lifestyle preferences.
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Notes: * Block Group Data also includes Census Tract,
County, Place and State level data. AGS is a trademark of Applied Geographic Solutions, Thousand Oaks, CA
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