Three data streams. One decisive score.
GrowthFactor ingests foot traffic panels, category spending data, and your existing store network geometry, then runs them through a gravity model calibrated for retail trade areas to produce a single scored output for every candidate location.
What goes into the model
Three categories of location intelligence, each cleaned and normalized before the analysis runs.
Foot Traffic Intelligence
Aggregated movement data from opted-in mobile devices, normalized for panel bias and daypart patterns. Updated weekly. Provides absolute visit counts and competitive intercept rates for trade area polygons.
Local Spending Demand
Credit and debit transaction aggregates by retail category, segmented by trade area polygon. Shows where spending demand in your category exceeds current supply, identifying genuine market gaps rather than population density.
Cannibalization Risk
Your existing store network geometry fed into a customer gravity model. Quantifies projected sales transfer from each existing store to the proposed location. Accounts for drive time, competitor density, and category affinity.
How inputs become a score
Each input is weighted and normalized, then combined through a retail-specific gravity model calibrated on outcome data from existing store openings.
The model weights foot traffic signals at 40%, spending demand at 35%, and cannibalization risk at 25%. Weights are configurable for chains with different expansion profiles.
What you receive
A scored report for each candidate location. Clear signal breakdowns. A plain-language recommendation your team can act on without a data science background.
SITE EVALUATION REPORT
1411 W Webster Ave, Chicago, IL 60614
GF Score
Strong
How it fits your real estate process
No new software to learn. No complex integrations. The GrowthFactor workflow fits inside your existing candidate shortlisting process.
Submit your candidate list
Upload a CSV of candidate addresses or geographic coordinates. Include your existing store locations so the cannibalization model has your network geometry.
Set evaluation parameters
Choose your retail category, define acceptable cannibalization thresholds, and flag any priority markets. Parameters carry over between analyses unless you change them.
Receive scored report
Within 14 days, each candidate location has a 0-100 score, signal breakdowns, and a plain-language recommendation. Reports export as PDF or structured CSV for your internal tools.
Score your candidate locations before you sign anything.
Request a demo with your actual shortlist. We will walk through the scoring methodology for your specific markets.
Request a Demo