Case study

Dental Giant

Healthcare

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.

1

Problem

What Was at Stake?

A leading dental services provider needed granular, street-level site selection beyond traditional demographic methods.

2

MapZot.AI work

How the Decision Was Modeled

Analyze Demographics, Traffic and Spending Behavior
Benchmark Competitors and Underserved Healthcare Demand
Prioritize Suburban and Urban Sites With Stronger Service Potential
3

Outcome

What Became Clearer?

Expanded to 2,600+ Offices
15–20% Revenue Lift Versus Previous Openings
Improved ROI Discipline Across National Expansion

Cost of being wrong

$8M–$9M Per Clinic

Weak Site Selection in Saturated Healthcare Markets Can Dilute Patient Volume, Slow Ramp-Up and Reduce ROI per Office

The goal was not more data. The goal was a cleaner decision before capital, lease commitments, buildout time, and leadership attention were locked in.