FranClusterer

Discover the Perfect Retail Locations with Our Cutting-Edge App!

Introduction

Welcome to the ultimate web-based app for franchisors to ...

Identify outlets that are located in clusters
Get a ranking of likelihood of survival for current and prospective outlets

In order to achieve these goals, the following information is needed:

  • Franchised_outlet_address:The full address of the outlet
  • ZIP:The ZIP code of the outlet's location
  • FIPS_code:The FIPS code of the county (available for downloading below)
  • State:State and Territory Abbreviations
  • Franchisee:the name of the franchisee (for ownership structure calculation)
  • Hqadd:The address for the brand's headquarter
  • Eyear:The year in which the outlet was establiashed
  • Franchise:Y for franchised outlet, N for company-owned
  • Current:Y for currently operational, N for prospective outlet
  • Progress

    Estimated time: ~0 minutes to complete

    1

    Extract Coordinates

    Processing location data

    2

    Location Features Analysis

    Analyzing regional patterns

    3

    Survival Analysis

    Calculating probability metrics

    4

    Finish

    Completing final computations

    Location Analysis

    To locate competitors near your outlets, zoom into the map until roads are visible. Click on a point on the map and then enter your search query (e.g., "Starbucks") in the search box.

    Green markers denote current outlets within clusters

    Orange markers denote prospective outlets within clusters

    Red markers denote all outlets outside clusters

    Blue markers denote searched competitor locations