Os desafio
Imóveisentwickler, Investoren e Varejos-Vermieter tomar Milliarden-Euro-decisões baseado em frequência de visitantes, demographics, and comparable rents. But the audience profile of a location — what residents and visitors actually value, how they spend, what they care about — is what determines long-term success. A coffee shop that fits the audience thrives. One that doesn't, fails — regardless of foot traffic. Os audiência definiert o Potenzial do localizaçãos, não umgekehrt.
So hilft Rascasse
Compreenda não apenas Imóveiswerte — mas sim quem dort lebt e o que eles wollen.
Understand who lives, works, and visits any location.
Audience profiles at postal-code level — values, interests, brand affinities, and lifestyle preferences that drive real estate demand.
See where demand exists for specific concepts.
Varejo, Hotellerie, Wsemn — abgestimmt em reais audiênciasbeduerfnisse. Saiba, quais localizações o que wollen, antes de investieren.
Decida, onde você investieren baseado em fit de audiência — não apenas Miete pro qm.
Reduce risk, increase returns. Let audience data guide capital allocation.
O que você ver
Casos de uso
Escolha localizações baseado em fit de audiência — não apenas frequência de visitantes e Miete. Saiba, quem Ihre neighbors' customers are and whether your concept matches the local demand profile.
Projete os corretoen mix de locatários para shoppings e gemischt geutilizae Entwicklungen baseado em local audience demand. Curate concepts that fit the neighborhood — not just brands that can pay the rent.
Understand what future residents will value — amenities, community, sustainability — before you build. Let psychographic data inform the development concept, not just demographics.
Identify cities and districts where demand for your concept already exists — before competitors discover them. Expand where the audience is waiting, not where everyone else is looking.
Principais serviços para Imóveis
Audience Profiling at postal-code level. Understand the psychographic makeup of any neighborhood — values, interests, and lifestyle preferences across 172 countries.
Location benchmarking against comparable sites. Understand how your locations perform relative to competitors — and where untapped opportunities exist.
Demand monitoring across locations and concepts. Track how audience interest shifts between districts, cities, and property types over time.
Estudo de caso
A retail chain used Rascasse audience data to select 3 new store locations based on audience fit rather than foot traffic alone. Instead of choosing the highest-traffic districts, they identified locations where the local audience profile matched their brand positioning. The result: 23% higher revenue per sqm than locations chosen by traditional site selection — and a payback period of 18 months versus the 28-month average across their portfolio.