Starbucks Foot-Traffic & Location Data Coverage

Daily-refresh foot traffic, trade-area, and competitive-visitation coverage for Starbucks locations across the United States.

How GSDSI covers Starbucks

GSDSI's privacy-safe mobility panel captures dwell-confirmed visits to Starbucks cafés across urban, suburban, drive-thru, and airport-concourse formats. The POI catalog resolves every store to a polygon with category and brand metadata, and the daily refresh cadence lets analysts track week-over-week and year-over-year visitation shape : the reads CPG brand teams, equity analysts, and CRE investors already expect from a production mobility panel.

US locations covered: ~16,400
Panel refresh cadence: Daily
Signal type: Dwell-confirmed visits
Category: Coffee & Café

Typical use cases

Sell-side equity analysts sanity-checking Starbucks visitation before SBUX earnings
Competitive benchmarking vs. Dunkin, Dutch Bros, and third-wave independents
CRE site-selection teams evaluating trade-area overlap for new real-estate acquisitions
CPG partnership teams modeling in-store promotion reach against footfall

Related chains in Coffee & Café

Dunkin': ~9,500 US locations
Dutch Bros: ~900 US locations
Tim Hortons: ~600 US locations

Production data access

The summary signals above reflect GSDSI's public preview tier. Production-grade Starbucks visitation data is available under commercial license via SFTP, Snowflake secure share, or AWS Data Exchange. Contact sales for a coverage sample, pilot scope, or full-catalog access.

Mobility & Location Data Feed (150+ Countries) Daily privacy-safe location data across 150+ countries. Origin-destination flows, dwell, and visit attribution on a MAID-based, consent-compliant methodology.
Enterprise POI Polygons & Geofencing Data Feed Global POI inventory and geofence-ready polygons for foot-traffic analytics and site-selection work. Daily-refreshed, deduped, and polygon-quality validated.
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.
How CRE Investors Use Origin-Destination Data Worked examples of how origin-destination mobility data sharpens site-selection underwriting, tenant-mix planning, and lease-negotiation decisions in CRE.