Trade areas

See the shape of your demand.

A place’s trade area is the set of hexagons that send it 85% of its modeled visitors — with the people who live there and the other places they visit.

of modeled visitors inside the trade area
85%
lifestyle segments
8
median visitor distance
P50
01

Origins, not circles

Trade areas follow demand: a coffee shop by a freeway draws a ribbon, a mall draws a region. Each hexagon carries its share and cumulative share of visitors.

  • Area, population, households
  • Average and median distance
  • Neighborhood shares
02

Who they are

Eight lifestyle segments — from Urban Professionals to Working Families — summarize who lives in the trade area, weighted by visitor share.

  • Segment mix
  • Income, age, education, families
  • Compare against the city
03

Where else they go

Cross-shopping ranks the places whose modeled visitor base overlaps most with yours, with an affinity score — the evidence behind co-tenancy and partnership decisions.

  • Overlap and affinity
  • Across all categories
  • Up to the top 10 by default

Frequently asked

Why 85%?

The long tail of distant visitors adds area without adding insight. 85% keeps the core while staying stable from period to period.

What is affinity in cross-shopping?

Affinity normalizes overlap so that very large places do not dominate the list simply because they draw from everywhere.

Can I get the trade area as GeoJSON?

Yes, both in the app export and through the API.

See it on your own shortlist

Start free with the demo cities, or book a walkthrough with our team.