Optimize Brokerage Success with Foot Traffic Data

Where should we open the next 20 — and which stores should close or relocate?

Next-market planning plus close / relocate recommendations.

Which locations will perform before we invest?

Sales forecasting and high-performing site prioritization before capital deployment.

We may only open one store. Can we forecast it accurately?

Precision site modeling for one high-confidence opening over 12–18 months.

Can we scale denovo expansion with institutional accuracy?

Denovo model with gap analysis and cannibalization control.

Where should the owner open next?

Clear market-opening roadmap built around owner-level decisions.

How does a family-owned chain become a PE-ready platform?

Repeatable site logic for a 6-location chain moving into institutional growth.

How do we move from founder-led intuition to scale?

Founder-led portfolio translated into a data-backed expansion engine.

Can one site support coffee and car wash demand?

Portfolio planning across two revenue behaviors on the same real estate.

Where can a legacy brand still win?

Modern trade-area read to separate brand awareness from site-level revenue potential.

How do you keep site selection precise while scaling to thousands of offices?

AI-powered site selection helped identify high-potential dental markets and underserved trade areas.

Where can a car wash chain expand without walking into oversaturated markets?

Market analysis identified high-demand neighborhoods with strong vehicle ownership and limited competition.

How do you pick profitable restaurant sites in a constrained island market?

Site selection aligned each location with the right mix of local customers, tourists, traffic, and competition.

How do you grow from regional coffee chain to multi-city footprint without oversaturating?

Demographic and consumer behavior analytics helped match new stores to the brand's highest-fit customers.

How do you validate dialysis sites where access, regulation, and patient demand all matter?

Predictive analytics helped balance patient demand, referral proximity, competition, and accessibility.

How do you make clinic openings, acquisitions, and relocations more predictable?

Healthcare intelligence combined forecasting, benchmarking, and patient-capture logic into one expansion model.

How can a county spot brand opportunities before developers and competitors move first?

Predictive retail intelligence identified high-potential trade zones and right-fit brand opportunities earlier.

How do city leaders prove whether downtown revitalization is actually working?

Visitor analytics quantified regional draw and gave the city evidence for leasing, recruitment, and grant strategy.

Where is local spending leaking, and which retailers should the city recruit back?

Retail leakage analytics revealed lost spending categories and gave leaders a targeted tenant recruitment roadmap.

How does a local restaurant concept become a national expansion story?

Location intelligence helped leadership prioritize markets, understand customers, and reduce underperformance risk.

How can Pickleman's accelerate planned store openings while reducing expansion risk?

AI-powered forecasting and site intelligence helped Pickleman's approve locations faster, prioritize stronger trade areas, and improve speed to market for planned store openings.