CSV and Excel tables
One row per area, site, and band, keyed by postal code or grid cell, with index, rank, and top drivers.
Insights · Catchment analysis
Catchment area analysis built on privacy-safe area-level data.
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.
The question
What does the area around each of our sites look like, and how do our catchments compare?
Catchment analysis answers a practical planning question: what does the area around a store, branch, or site look like, and how does it compare with your other locations? AreaSignal answers it with aggregated area-level signals, not customer or device data.
What you get
- One row per postal code or grid cell in each catchment band
- An index against the national average, plus percentile and rank within your catchment set
- The top drivers behind every area’s score
Typical uses
Compare sites across a network, check whether a new location matches the profile of your strongest catchments, plan local media around stores, or brief regional teams with one consistent view of each area.
How it works
From brief to area-level output in three steps.
Share your site locations
Send the addresses or coordinates of your stores, branches, or sites, plus the radius or drive-time bands you want to compare.
AreaSignal builds the catchments
Each site gets the postal codes or grid cells inside its radius or drive-time bands. Every area is profiled with area-level signals and indexed against the national average.
Compare and act
You receive a ranked table per site and band with index, rank, and top drivers, ready for your planning and reporting tools.
Example output
What the output looks like.
| Rank | Area ID | Area | Score | Index | Percentile | Top drivers |
|---|---|---|---|---|---|---|
| #1 | 10178 | Site A, 0–10 min band | 0.81 | 134 | 92 | Retail density, working-age share, transit access |
| #2 | 10115 | Site A, 0–10 min band | 0.74 | 121 | 85 | Household composition, retail density |
| #3 | 10435 | Site A, 10–20 min band | 0.62 | 104 | 61 | Age structure, transit access |
| #4 | 13125 | Site A, 10–20 min band | 0.41 | 82 | 27 | Lower retail density, car-oriented access |
Delivery
How you receive it.
Snowflake or S3 delivery
The same tables delivered to your Snowflake account or S3 bucket for analytics teams.
FAQ
Common questions.
Do you need customer or loyalty data?
No. Catchments are built from your site locations and area-level data only. AreaSignal does not need customer lists, loyalty data, or any personal identifiers.
Can catchments use drive-time instead of a radius?
Yes. Catchments can be defined by straight-line radius or by drive-time bands around each site, and both can be compared side by side.
What happens to areas with very few residents?
Areas with too few residents are not scored. This protects privacy, because no result can describe a small group of people.
Which geographies are supported?
Postal codes and regular grid cells, with administrative regions for roll-ups.
Related
Related solutions.
Insights · Location context
Location context
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.
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.