Skip to content
Industries
Industry Solutions

Real Estate & Site Selection

Data-driven location strategy for smarter investments

23M+
U.S. POIs
5+ Yrs
Historical Data
Daily
Visit Updates
50+
Property Metrics

Overview

Make confident expansion and investment decisions with mobility intelligence, POI data, and trade area analytics. GSDSI gives real estate professionals, REITs, and commercial developers the location data needed to evaluate sites, benchmark properties, and forecast performance.

GSDSI (Global Source Data Solutions Inc.) equips commercial real estate investors, REITs, and developers with 155M U.S. property records (residential + commercial) layered against device-level foot-traffic signals and 23M+ U.S. POIs: giving site selection, portfolio benchmarking, and tenant analytics teams the behavioral ground truth that drive-time models and broker opinions cannot provide. Commercial real estate decisions involve significant capital commitments that depend on accurate assessments of location quality, consumer demand, and competitive dynamics. Traditional site selection methods like drive-time analysis, demographic overlays, and broker opinions provide useful context but fail to capture the behavioral reality of how consumers actually move through and interact with commercial locations. GSDSI transforms real estate analytics by providing device-level foot traffic data, so property investors and developers can evaluate sites based on actual visitation patterns rather than modeled estimates. Portfolio managers benchmark property performance across their holdings using normalized visit metrics (visits per square foot, average dwell time, repeat visitation rate), identifying underperformers and diagnosing whether declines stem from market shifts, tenant mix issues, or competitive encroachment. Site selection teams analyze visitor origin data to define true trade areas, assess co-tenancy effects between anchor tenants and inline retailers, and find whitespace markets where consumer demand exists but commercial supply is limited.

Acquisitions teams that run property, ownership, and mobility reads in sequence can follow our CRE due diligence playbook from LOI to hard deposit.

Fast path (pilot)

If you’re evaluating this vertical, start with a matched sample and a success threshold that’s specific to your cohort and geography.

What to request

  • Schema + join keys (what you can actually connect to).
  • Refresh cadence + change control expectations.
  • Governance: exclusions, retention, deletion SLAs.

Provenance & compliance

If this use case touches sensitive categories or regulated outcomes, align on permitted uses and enforced exclusions before scaling volume.

Challenges We Solve

Evaluating site viability without reliable foot traffic and mobility data
Understanding tenant performance and co-tenancy effects across portfolios
Forecasting consumer demand in emerging or underserved trade areas
Comparing property performance against competitive assets

How GSDSI Helps

Site Selection Intelligence

Evaluate potential locations using historical foot traffic, visitor demographics, and trade area overlap.

Portfolio Benchmarking

Rank and compare properties in your portfolio using normalized visit metrics and trend analysis.

Tenant Analytics

Understand which tenants drive traffic and how co-tenancy relationships impact overall property performance.

Market Opportunity Mapping

Identify underserved markets and whitespace opportunities using mobility patterns and demographic overlays.

Ready to get started?

Request a custom quote tailored to your real estate & site selection data needs.

Frequently asked questions about Real Estate & Site Selection

What real-estate use cases does GSDSI support?

Site selection (foot traffic + origin-destination), lease-underwriting (visit-share trends + demographic overlays), tenant-mix decisions (cross-visit affinity), CRE investment analysis, MSA-level demand modeling, and home-services targeting via the consumer file's home-ownership and tenure attributes.

How granular is the location data?

POI-level for venues (polygon-validated geofences), MAID-level for visits (hashed mobile IDs from consented panels), and aggregated origin-destination at H3-hex or census-tract resolution for planning use cases. Buyers pick the granularity that fits their use case and contract terms.

Can GSDSI inform tenant-mix decisions?

Yes. Cross-visit affinity (which other venues do my visitors also frequent?) is a standard analysis, and is the foundational input to tenant-mix decisions for new lease-up. Output is a co-visit affinity matrix scoped to the property's catchment area.

Is residential and CRE coverage equally deep?

CRE foot-traffic and POI coverage is the deepest. Residential coverage depends on the use case: home-ownership, tenure, and household-composition attributes are well-covered in the consumer file. For property-level historical transaction data, GSDSI sources via partners on a per-engagement basis.

What's a typical first project?

A site-selection study for one or several candidate locations: foot-traffic baselining, origin-destination catchment, demographic profiling, and competitive co-visit analysis. Most projects scope to 4-6 weeks with a defined geographic boundary.

✓ Opt-Out Request Honored via Global Privacy Control