CSV and Excel tables
A profile table per location with grid cells and postal codes, indexes, and top drivers.
Insights · Location context
Location and site context, profiled at area level.
Understand the surroundings of a store, site, or candidate location with area-level profiles of grid cells and postal codes, compared against regional and national baselines.
The question
What is the context around a site, and how does it compare with our best locations?
Location context describes what surrounds a store, site, or candidate location, measured with area-level signals rather than device data. It helps teams compare candidates with their strongest existing locations on the same terms.
What you get
- Profiles of the grid cells and postal codes around each location
- Indexes against regional and national baselines
- The top drivers behind every area’s profile
Typical uses
Screen candidate locations before site visits, compare formats across a network, brief real estate partners with consistent area profiles, or check how the context around an existing site has changed over time.
How it works
From brief to area-level output in three steps.
Name the locations
Share existing sites, candidate locations, or both, plus the signals that matter for your format or category.
AreaSignal profiles the surroundings
The grid cells and postal codes around each location are profiled with area-level signals and compared with regional and national baselines.
Compare locations side by side
You receive a profile per location with indexes and top drivers, so candidates can be compared on the same terms.
Example output
What the output looks like.
| Rank | Area ID | Area | Score | Index | Percentile | Top drivers |
|---|---|---|---|---|---|---|
| #1 | 1kmN3263E4280 | Candidate location B, centre cell | 0.82 | 136 | 94 | Transit access, retail density, working-age share |
| #2 | 1kmN3264E4280 | Candidate location B, north cell | 0.73 | 119 | 83 | Household composition, transit access |
| #3 | 1kmN3263E4281 | Candidate location B, east cell | 0.60 | 101 | 55 | Mixed residential and commercial context |
| #4 | 1kmN3262E4280 | Candidate location B, south cell | 0.47 | 86 | 32 | Commercial land use, lower residential base |
Delivery
How you receive it.
Snowflake or S3 delivery
Location profiles delivered to your Snowflake account or S3 bucket alongside your own site data.
FAQ
Common questions.
Does AreaSignal choose locations for us?
No. AreaSignal provides area context and comparable profiles. The location decision stays with your expansion or real estate team.
How is this different from catchment analysis?
Location context compares the immediate surroundings of individual sites against baselines. Catchment analysis profiles every area inside radius or drive-time bands across a network.
Why use grid cells?
Regular grid cells give comparable units around a point, regardless of postal-code size. Postal codes and regions are available for roll-ups.
Is footfall or device data used?
No. Profiles use aggregated area-level data only. AreaSignal does not use device location data or individual movement histories.
Related
Related solutions.
Insights · Catchment analysis
Catchment area analysis
Profile the postal codes and grid cells around your stores, branches, or sites by radius or drive-time band, with the top drivers explained for every area.
Insights · Market potential
Market potential
Rank postal codes and regions by their potential for your product or category, using transparent area-level scoring you can explain to stakeholders.
Audiences · Retail, grocery, and CPG
Retail and Grocery
Find postal codes with stronger premium grocery and category potential for retail, grocery, and CPG campaigns, and activate them without user-level IDs.
Next step
Explore privacy-safe geo audiences for your next campaign.
Share your objective, market, and timing. We will help you choose a ready-made audience or scope a custom area-level build.