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Location Planning · for retail, real estate, venues and brands
Build where your audience is. Down to the postal code.
Planning a shopping mall, a store or a venue? Rascasse shows where your audience lives, postal code by postal code, with catchment areas by distance or drive time, and what the people there are into.
- Postal code precision
- Distance and drive time
- Full profile per location
Used by brands, agencies, media and rights holders
How we read the signals
Your target audience. The location. The overlap decides.
We compare your target audience with the people of each postal code or catchment area, and describe every location with its own profile.
- Where: postal codes, cities and catchments by distance or drive time
- Who: the interests, brands and values of the people there
- How: the media to reach them and the tone to use
What slows you down
Locations chosen on traffic counts
Many people pass by. Are they your customers?
Income and age say little about tastes.
Two neighbourhoods with the same income can want very different things.
The opening campaign starts from zero.
Where in New York is your audience, and where not?
Postal-code distribution shows where your audience concentrates, and where it is thin. Add catchments by distance or drive time around each candidate site.
- Every postal code with reach and affinity
- Catchments by distance or drive time
- Candidate sites side by side
Who lives there, and what they love
Every postal code has its own profile. 10019 in Manhattan: New York City itself, Movies & TV and fashion lead; the strongest mindset is indulgence.
10019 Manhattan: the brands, media and topics people there over-index on.
Indulgence is the strongest trait (6.5×), the premium cluster leads.
Media and tone for the opening
With the profile in hand, the opening campaign is planned from day one: the channels the neighbourhood uses and the tone that fits its values.
Rascasse inside Claude and ChatGPT
Connect Rascasse to your AI assistant through MCP and compare locations in conversation.
- Works with Claude, ChatGPT and other MCP clients
- Any postal code, city or catchment
- Available as part of your agreement, API included
The strongest signals:
| Signal | Note |
|---|---|
| New York City | 15.2× affinity |
| Movies & TV | strongest category |
| Indulgence | 6.5×, top trait |
A premium, culture-driven neighbourhood: a fit for flagship and lifestyle concepts.
What you get
A site decision backed by people, not traffic
Start small
Start with a Proof Case
Your target audience across three candidate sites, with catchments and a profile per site. A fixed scope and a fixed price, presented to the people who decide, and credited against the Annual fee if you continue.
Site decisions are made long before opening. Bring the audience data into the shortlist.
Questions
Before you ask
Can you do catchments?
Yes, by distance or by drive time around any address.
Which countries have postal codes?
Postal-code data is available where the data allows, in many of our 200+ countries.
Where does the data come from?
From AI-based analysis of aggregated digital behaviour signals, not surveys: what people search, follow, watch and listen to, aggregated and anonymous. No panels and no questionnaires.
Is this personal data?
No. We work with aggregated signals only: no names, no e-mail addresses, no individual profiles.
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