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Door Segmentation Criteria Quadrant Matrix
from deck Point of Sale Segmentation Strategy (PPT Template)

Door Segmentation Criteria Quadrant Matrix

Slide Content

The slide is titled "Door Segmentation Criteria Quadrant Matrix" and presents a framework for retail store segmentation based on four characteristics: location, type, size, and annual sales. "Location" is segmented into major city/town/countryside and shopping mall/high street, indicating different geographical settings and traffic potential. "Type" categorizes stores by their pricing strategies and range, such as full price outlets or discount stores. "Size" is measured in square meters, distinguishing between smaller and larger retail spaces. "Annual Sales" presents a financial threshold separating high and low revenue-generating stores.

Graphical Look

  • The slide title is in a large font size, dark blue with a lighter blue banner extending to the left.
  • A subtitle beneath the title outlines the segmentation components.
  • Four colored square shapes represent the criteria, arranged in a quadrant matrix: blue for "Location," orange for "Type," red for "Size," and teal for "Annual Sales."
  • Each square has a unique icon: a location marker for "Location," a store front for "Type," a scaling tool for "Size," and a money bag for "Annual Sales."
  • Beside each criterion square, there are light grey text boxes with bullet points detailing examples or ranges for that criterion.

The slide has a clean and balanced design with a professional color scheme. The quadrant layout aids in the understanding of the segmentation model by visually categorizing each characteristic.

Use Cases

  • In a business strategy meeting to outline the classification of different retail outlets.
  • During a marketing presentation to highlight target segmentation for product placements or promotions.
  • For a sales analysis report, to segment performance data by store characteristics.
  • Educational purposes, like in a business or marketing course to teach retail segmentation models.

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