Approx. US locations
~5,700
US stores (company-operated and franchised), per The Wendy's Company Q2 2026 results, as of the end of Q2 2026
Panel refresh
Daily
Signal type
Dwell-confirmed visits
How GSDSI covers Wendy's
Wendy's operates a primarily franchised store base with a strong drive-thru and digital-order skew. GSDSI's daily-refresh mobility panel captures dwell-confirmed visits with category and brand resolution: the signal used by sell-side research to triangulate same-store-sales trajectories between earnings prints.
Typical use cases
- Sell-side equity analysts modeling WEN visitation ahead of quarterly earnings
- Competitive visitation benchmarking vs. McDonald's, Burger King, Jack in the Box
- Breakfast-daypart expansion read: incremental visits attributable to menu launches
- CRE franchise-development teams evaluating trade-area overlap for new unit pipelines
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.
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.
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 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.
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.