Case study

Naperville Retail Leakage

Civic & economic development

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.

1

Problem

What Was at Stake?

Naperville needed to quantify how much resident spending was flowing into neighboring Aurora and which categories were most affected.

2

MapZot.AI work

How the Decision Was Modeled

Analyze Category-Level Retail Leakage
Visualize Spending Across City Boundaries
Prioritize Tenant Recruitment by Lost Revenue Category
3

Outcome

What Became Clearer?

Identified Over $25M in Annual Leakage
Found Major Losses in Fuel, Automotive, Apparel and Department Stores
Enabled Data-Backed Local Revenue Recovery Strategy

Cost of being wrong

$25M Annual Leakage

Unmeasured Leakage Weakens Local Tax Revenue, Business Ecosystems and the City’s Ability To Recruit the Right Retailers

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