What is a store’s trade area?
A trade area is the zone where most of a store’s customers come from. It defines which population, which competitors, and which traffic generators belong to each location.
It is not a fixed circle. It depends on how people get there (by car, on foot, or by bus), on the store format, and on what surrounds it: a strong competitor or a physical barrier, such as a river or a highway, cuts it short.
Many chains split it into tiers. The primary trade area is the closest one, where most customers come from. The secondary trade area adds people who come from farther away or less often. Each chain sets the cutoff based on its format and its own data.
Radius rings or isochrones: which should you use?
The simplest approach is a radius: everything within one or two kilometers of the store. It is fast, but it assumes people arrive equally from every direction.
An isochrone covers everything within a given travel time, such as a 10-minute drive or a 5-minute walk. It follows the street network, so it accounts for rivers, ravines, bridges, one-way streets, and highways with no U-turn.
In cities with ravines and heavy traffic, the difference is large: two neighborhoods at the same straight-line distance can be a few minutes or half an hour away from the store.
| Method | How it is calculated | Advantage | Limit |
|---|---|---|---|
| Radius ring | A circle of a set distance around the store | Fast and easy to explain | Ignores streets, barriers, and traffic |
| Drive-time isochrone | The area reachable within a set number of minutes by car | Reflects how car-based shoppers arrive | Uses typical travel times; actual traffic varies by time of day |
| Walk-time isochrone | The area reachable within a set number of minutes on foot | Key for neighborhood stores and pedestrian areas | Does not see broken sidewalks or hard-to-cross streets |
| Customer-derived trade area | Where visitors actually come from, based on aggregated mobility or customer data | Shows what happens, not what is assumed | Only exists for operating stores; mobility data is a sample |
The most robust approach combines both: an isochrone to evaluate a new site and a customer-derived trade area to review stores that are already open.
What data do you need to calculate and measure it?
Drawing the trade area is only the first step. The value comes from measuring what is inside it, with this data:
- Road network and travel times: to draw drive-time and walk-time isochrones.
- Population and socioeconomic profile: how many people live inside the area, and their profile.
- Aggregated, anonymized mobility data: which areas visitors come from, how far they travel, and when they arrive.
- Businesses and competitors: which competitors fall inside the area.
- Points of interest: offices, schools, hospitals, and transit stops that draw foot traffic.
- Your company data: sales by store and, if you have them, delivery or loyalty program addresses, aggregated by area.
How does the trade area change by store format?
There is no single right travel time for every store. The trade area depends on how often people shop, how far they are willing to travel, and how they get there. A daily-need store draws from nearby; a planned-purchase store draws from farther away.
Time of day matters too: a restaurant in an office district has one trade area at lunchtime and another in the evening.
| Format | How people usually arrive | Starting point for the trade area |
|---|---|---|
| Neighborhood pharmacy or convenience store | On foot or on short trips, shopping often | A walk-time isochrone of a few minutes, plus people passing through |
| Supermarket | By car or public transit, for the weekly shop | A drive-time isochrone, with primary and secondary tiers |
| Quick-service restaurant | On the way, from home or work, including drive-thru | Isochrones by time of day, plus the floating population |
| Hardware or home improvement store | By car, for a planned purchase | A wider drive-time isochrone than a supermarket’s |
| Bank branch | Close to home or work | Isochrones from residential areas and from office districts |
| Store inside a shopping center | People come to the center, not the store | The shopping center’s trade area, based on its visitors |
These are illustrative starting points. Adjust them with data from your stores that are already open.
What happens when two trade areas overlap?
When a new store’s trade area covers part of an existing store’s, the two may compete for the same customers: that is where the risk of cannibalization lies. If it overlaps with a competitor’s trade area, they compete for the same demand.
High overlap is not always bad: if your current store is at capacity or the area is growing, opening may still make sense. What matters is measuring it before you sign.
Measuring overlap takes more than looking at how much of the map two stores share. Look at three things:
- How much of your existing store’s trade area the new store would cover.
- How many people live in the shared zone, not just how many square kilometers it spans.
- How many visitors the two stores share, based on aggregated mobility data.
What is trade area analysis used for?
Almost every location analysis starts with the trade area. Its most common uses:
- Sales forecasting: the trade area determines which population, competitors, and foot traffic go into the model that forecasts how much a new store will sell.
- Cannibalization: the overlap between trade areas shows where a new store could take customers from the ones you already have, and is the starting point for estimating how many.
- Fair store comparisons: two stores with similar sales can have very different trade areas. Measuring each area’s potential tells you which one outperforms expectations.
- Local store marketing: knowing which areas your customers come from tells you where to place billboards, distribute flyers, or run promotions.
What are common trade area mistakes?
The most frequent ones:
- Using circles where the street network, rivers, or ravines change who can reach the store.
- Using the same travel time for every format.
- Calculating with traffic from a single hour: the morning trade area is not the evening one.
- Looking only at residents and forgetting the people who pass through the area.
- Confusing the trade area with the delivery zone: they are related, but not the same.
- Drawing it once and never reviewing it: a new road, a shopping center, or a competitor changes it.
Pulster
How Pulster calculates trade areas
Trade areas are one of Pulster’s six data layers: how far a store reaches, such as everything within a 10-minute drive. These are typical travel times; actual traffic varies by time of day.
Pulster NOVA defines the trade area of each site you evaluate using travel times and measures what is inside it: who lives nearby and their socioeconomic profile, how much foot traffic passes by, and which competitors are there. With that, it forecasts first-year sales and shows how much of the area the site shares with your stores and how many customers they have in common.
With Pulster RADAR, you see which areas your visitors come from, how far they travel, and where you or your competitors dominate. Mobility data is updated every two weeks and business data every month. Aggregated and anonymized data. We do not identify individuals.