Case study

Florida Coffee Chain

Restaurant & coffee

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.

1

Problem

What Was at Stake?

A Florida-based coffee chain needed to scale quickly while ensuring each new location aligned with its core customer base.

2

MapZot.AI work

How the Decision Was Modeled

Analyze Consumer Behavior and Income Levels
Identify Cities with Strong Coffee Demand
Target Neighborhoods with High-Fit Customer Segments
3

Outcome

What Became Clearer?

Scaled From 20 to 80 Stores
Expanded Across Metropolitan and Suburban Markets
25% Increase in Average Daily Sales at New Locations

Cost of being wrong

$500K–$1.5M Per Store

Rapid Coffee Expansion Can Create Oversaturation, Weak AUV and Expensive Leases in Markets Where the Brand Does Not Resonate

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