Approx. US locations
~6,600
US stores (systemwide), per Restaurant Brands International 2025 global store counts by country, as of December 31, 2025
Panel refresh
Daily
Signal type
Dwell-confirmed visits
How GSDSI covers Burger King
Burger King is a Restaurant Brands International (QSR) subsidiary with a US store base skewing suburban and highway-exit drive-thru formats. GSDSI's privacy-safe mobility panel surfaces daily-refresh visitation and lets analysts decompose BK performance from sister brands (Popeyes, Tim Hortons) at the POI level rather than the parent-company aggregate.
Typical use cases
- Sell-side research teams modeling QSR visitation ahead of quarterly earnings
- Competitive benchmarking vs. McDonald's, Wendy's, Jack in the Box
- Menu-launch incrementality measurement via pre/post visitation lift
- Franchisee-operator performance comparison across DMA clusters
Underlying GSDSI products and research
Location & Mobility Data Feed: Foot Traffic, O-D
Daily location and mobility data with a US and Canada feed and country-specific coverage. Origin-destination flows, dwell and visit attribution, consent-based.
Enterprise POI Polygons & Geofencing Data Feed
Global POI inventory and geofence-ready polygons for foot-traffic and site selection. Deduped, polygon-quality validated, refreshed on a per-dataset schedule.
Competitive Benchmarking Data (Foot Traffic)
Foot traffic, market share, and transaction trends across retail, CPG, and restaurant categories. Track share-of-visit vs. competitors with daily-fresh data.
Alternative Data for Finance (Tickerized Signals)
Tickerized consumer signals for fundamental research and quant strategies. Foot-traffic, card, web-intent, and ACR mapped to public equity tickers. Quant-ready.
Geofencing Best Practices: Polygons vs. Radius
Why radius geofences over- and under-count store visits, and how polygon geofences fix it, including sample SQL patterns, tuning notes, and POI quality checks.
Alternative Data in Equity Research: Buyer Guide
A grounded look at where alternative data adds alpha and where it doesn’t, plus a buyer’s checklist for evaluating tickerized signal vendors before signing.
