Approx. US locations
10,000+
US stores (10,000th US location opened), per Inspire Brands Inspire in 2025 review, as of October 2025
Panel refresh
Daily
Signal type
Dwell-confirmed visits
How GSDSI covers Dunkin'
Dunkin' locations cluster heavily in the Northeast and Mid-Atlantic with drive-thru and grab-and-go formats dominating the store base. GSDSI's POI catalog captures each store as a discrete polygon with brand and category metadata, and the daily-refresh mobility panel lets analysts track morning-daypart visitation: the primary competitive axis in the QSR-coffee category.
Typical use cases
- Competitive visitation share between Dunkin' and Starbucks in Mid-Atlantic metros
- Daypart visitation analysis: morning-rush share of drive-thru vs. in-store
- CPG promotion reach modeling against morning-routine foot traffic
- Franchise-owner benchmarking across regional 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.
Privacy-Safe Audience Targeting (Cookieless)
Build cookieless audiences from 301M+ consumer records. Identity-resolved, privacy-safe segments. Activate to DSPs, CTV, social, direct mail, and programmatic.
Clickstream vs. Foot Traffic: When to Use Which
A decision matrix for picking the right signal: clickstream for intent, foot-traffic for proof. Includes four side-by-side use-cases and sample SQL patterns.
CPG Signals in Alt Data: 71M DAUs Explained
What transaction-level CPG signals from a 71M DAU panel actually reveal about brand share, category trends, and private-label shift, and how to use them.