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Data-driven catchments
Build trade areas from observed customer origins instead of arbitrary radius or drive-time rings.
Use case / Retail Trade Area Analysis
Retail trade area analysis that shows where demand really comes from
Define catchments around stores, see where customers travel from and understand which areas drive visits. Spotzi turns mobility, household and points-of-interest data into trade areas your retail, media and expansion teams can act on.
Customer origins / catchment overlap / local audience planning
What the analysis improves
See the real catchment behind every store
Fixed rings are easy to draw, but customers rarely behave like a perfect circle. Spotzi builds trade areas from observed movement and the places that shape the journey.
From signal to store visit
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Customer origin mapping
See which neighbourhoods, cities and regions generate visits and how far customers travel.
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Cannibalisation and overlap
Compare catchments across stores to spot overlap, gaps and locations that compete for the same demand.
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Local audience planning
Turn catchment insights into local media, assortment and activation decisions.
Why fixed rings miss real demand
A ten-minute ring is easy to draw, but customers rarely behave like a perfect circle. Trade areas built from observed movement show the neighbourhoods that actually generate visits, the competitors customers consider and the areas where demand is underserved.
What trade area analysis answers
Where do our customers actually come from?
Map the neighbourhoods and regions that generate visits, rather than assuming demand stops at a fixed radius.
How far will customers travel for this store?
Compare travel patterns by store, format and market to see what a realistic catchment looks like.
Which stores overlap and which areas are underserved?
Compare catchments across the network to find overlap, gaps and opportunities for new locations or local marketing.
How does the catchment differ by store format or season?
See how demand changes between formats, dayparts and time periods so local plans reflect real behaviour.
Which local audiences should we target?
Turn catchment insights into audience segments for local media, CRM and activation.
Trade area analysis questions
What is a retail trade area?
A retail trade area is the geographic area from which a store draws most of its customers. It can be based on drive times, observed customer origins or a combination of both.
How is this different from a radius map?
A radius assumes distance is the only driver. Observed trade areas account for competition, transport, destinations and real travel behaviour.
Can you analyse different store formats?
Yes. Catchments can be compared across formats, markets and store sizes, provided the underlying data coverage is sufficient.
Can we use our own customer data?
Yes. Customer and loyalty data can be combined with mobility data to make the catchment more specific to your business.
What does the output include?
Maps, catchment profiles, customer-origin analysis, overlap and cannibalisation views, and audience segments for local planning.
The decision layer for real-world marketing
See where your stores really draw customers from
Share a store, a market or a store network. We will show you how a trade area analysis changes the picture.
- Privacy-first, without personal profiles
- Precise daytime audience targeting
- Campaign lift measured to the store visit