Retailer optimization using market segmentation top quintile process
First Claim
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1. A method for obtaining an optimal number of retailers in a geographical area, the method comprising the steps of:
- obtaining demographical data for a plurality of regions, each region being identified by a region identifier, the demographical data containing population information, retailer count, sales figures, retailer density count, and per capita sales information, the demographical data being segmented into subgroups;
for each subgroup determining a top percentage of regions based on the population information, determining an average sales figure for the top percentage of regions, and determining an average retailer density count for the top percentage of regions; and
computing the optimal number of retailers based on the average sales figure and average density count.
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Abstract
A method for determining an optimal number of lottery retailers is disclosed. The optimal number of lottery retailers for a region can be determined based households of the same segmentations purchasing lottery products similarly, and there is a strong correlation between lottery agent density (population/retailers) and per capita lottery sales. The lottery agent density (LAD) necessary to produce high per capita sales can be identified and applied to all markets of that household segmentation.
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2 Claims
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1. A method for obtaining an optimal number of retailers in a geographical area, the method comprising the steps of:
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obtaining demographical data for a plurality of regions, each region being identified by a region identifier, the demographical data containing population information, retailer count, sales figures, retailer density count, and per capita sales information, the demographical data being segmented into subgroups;
for each subgroup determining a top percentage of regions based on the population information, determining an average sales figure for the top percentage of regions, and determining an average retailer density count for the top percentage of regions; and
computing the optimal number of retailers based on the average sales figure and average density count. - View Dependent Claims (2)
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Specification