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 outletZIP:
The ZIP code of the outlet's locationFIPS_code:
The FIPS code of the county (available for downloading below)State:
State and Territory AbbreviationsFranchisee:
the name of the franchisee (for ownership structure calculation)Hqadd:
The address for the brand's headquarterEyear:
The year in which the outlet was establiashedFranchise:
Y for franchised outlet, N for company-ownedCurrent:
Y for currently operational, N for prospective outletProgress
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