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Home computing is a fast-growing and competitive area of retailing. Sarah manages an up-and-coming retail computer store. She realizes the need to get the word out about the store's product line, but at the same time is faced with limited resources to put together an advertising campaign. She figures that she has only enough money to send out 10,000 flyers advertising the store's next major sale. In order to get the most value for her money, Sarah wants to mail flyers only to her best, core market. This includes parts of the city that 1. Have high education levels, and 2. Fall within 15 km of the store Which neighbourhoods should receive the flyers? The ability of location analysis to quickly analyze large amounts of community information makes it a natural to help solve this problem. Sarah uses location analysis to identify the city neighbourhoods that fit her two criteria. A colour theme map (where light areas indicate a poor market, and dark areas a good market) quickly shows where her best markets are:
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Highly-Educated People (Graduate School Education)
Communities Within 15 km of the Store 
Target Market: Highly Educated, <15 km from the Store
Sarah uses her location report to help her prioritize her advertising spending. She concentrates on mailings to each community that meets her two criteria before sending mail-outs to other area communities. Susan can feel assured that her advertising money is creating the maximum possible impact. With a minimum of time and effort, location analysis is able to help Sarah solve a marketing problem that would be difficult to solve any other way.
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