Approx. US locations
~7,700
US stores (company-operated and franchised or licensed), per Yum! Brands 2025 US store count by state, as of fiscal year-end 2025
Panel refresh
Daily
Signal type
Dwell-confirmed visits
How GSDSI covers Taco Bell
Taco Bell operates a Yum! Brands store base with strong late-night daypart concentration and a growing digital-order channel. GSDSI's daily-refresh mobility panel captures dwell-confirmed visits at POI granularity: letting analysts quantify late-night lift, decompose daypart mix, and benchmark against Chipotle, Qdoba, and regional competitors.
Typical use cases
- Late-night daypart share analysis vs. QSR category
- Competitive visitation benchmarking vs. Chipotle, Qdoba, Del Taco
- Sell-side analysts modeling YUM segment visitation ahead of earnings
- CPG partnership teams modeling in-store promotion reach
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.
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.
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.
