Potential Segmentation Dimensions In The Retail Industry

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Potential Segmentation Dimensions in the Industry
For the retail industry each of the four dimensions uses several variables to determine the variation of needs in the industry. For example in the geographic segmentation where the store is located affects the products. Within the geographic segmentation and the variable of rural vs. city, the needs of rural areas differ from the needs of city areas. Rural areas tend to include more consumers who work blue collar jobs, so income is lower and they may be very conscious of the value of money. City shoppers tend to work in white collar jobs so income may increase especially since cost of living is higher (Strain). Rural areas tend to be farther away from stores so the consumers must travel to get products which could decrease frequency of purchases. City consumers have a convenient advantage of getting to the stores quicker and more frequently (Strain). Rural consumers want dependable while city consumers look for new and fresh products. Weather and seasons can determine what kind of products and promotions are available. The changes in weather and seasons causes the consumers to need shorts, tank tops, and swimsuits in the summer and pants, sweaters, and coats in the winter.
In the demographic segmentation, age, gender, income, occupation, and life cycle stage affect consumers in the retail industry. Within the demographic segmentation and the variable of age, the younger consumers’ needs differ from the older consumers’

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