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  • ๐Ÿ‘‹Welcome!
  • Places
    • โ›ณPlaces: Product Description
    • ๐Ÿ—บ๏ธCountry Coverage
    • ๐ŸŽฏKPIs
    • ๐Ÿ’ปData Schema
    • ๐Ÿช„Methodology
      • ๐Ÿ›ฃ๏ธData Ingestion Workflow
    • ๐ŸŒŽCountry Confidence
      • ๐Ÿช„Methodology
      • ๐Ÿ‘Country Confidence Scores
    • ๐Ÿค–Brand Matching
  • Shapes
    • ๐ŸขShapes: Product Description
    • ๐Ÿ—บ๏ธCountry Coverage
    • ๐ŸนData Example
    • ๐Ÿ’ปData Schema
    • ๐Ÿช„Methodology
  • Insights
    • ๐ŸšถInsights: Product Description
    • ๐Ÿ—บ๏ธCountry Coverage
    • ๐ŸŽฏKPIs
    • ๐Ÿ’ปData Schema
    • ๐Ÿช„Methodology
  • GeoPersona
    • ๐Ÿ‘ฅGeoPersona: Product Description
    • ๐Ÿ—บ๏ธCountry Coverage
    • ๐Ÿ’ปData Schema
    • ๐Ÿ’ Interest Segments Taxonomy
    • ๐Ÿ›’Brands by Country
      • ๐Ÿ‡บ๐Ÿ‡ธUnited States
      • ๐Ÿ‡จ๐Ÿ‡ฆCanada
      • ๐Ÿ‡ซ๐Ÿ‡ทFrance
      • ๐Ÿ‡ฉ๐Ÿ‡ชGermany
      • ๐Ÿ‡ฎ๐Ÿ‡นItaly
      • ๐Ÿ‡ช๐Ÿ‡ธSpain
      • ๐Ÿ‡ฌ๐Ÿ‡งUnited Kingdom
    • ๐Ÿช„Methodology
  • Location SDK
    • ๐Ÿ“Location SDK: Product Description
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  1. Shapes

Data Example

To illustrate the significance of Shapes, letโ€™s consider a scenario involving a fashion brand seeking to establish new outlets.

A primary criterion for this brand is the stipulation of a minimum floor area for its stores.

  1. Using our Places and Insights products, the brand can delve into behavior patterns and trends associated with the potential locations.

  2. By incorporating our Shapes data, they can access precise information about the exact areas of each potential location.

This equips the brand with the capability to execute well-informed, location-specific decisions, ensuring that its new stores not only meet the established criteria but also align with the overarching business objectives.

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Last updated 9 months ago

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