Approx. US locations
~2,000
US stores (US stores including Puerto Rico, the US Virgin Islands and Guam), per The Home Depot fiscal 2025 Form 10-K, as of February 1, 2026
Panel refresh
Daily
Signal type
Dwell-confirmed visits
How GSDSI covers The Home Depot
The Home Depot is among the highest-footprint US home-improvement retailers by store count and revenue. GSDSI's daily-refresh mobility panel resolves stores to polygons and captures dwell-confirmed visits: the signal sell-side analysts, CPG-vendor teams, and CRE investors use to track Pro-contractor vs. DIY mix, regional-DMA performance, and competitive share against Lowe's.
Typical use cases
- Sell-side analysts modeling HD visitation ahead of quarterly earnings
- Pro-contractor visit signals vs. DIY via weekday-morning daypart patterns
- Competitive visitation share vs. Lowe's, Menards, Ace Hardware
- CPG-vendor category management in home-improvement channel
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.
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.