La sfida
immobilientwickler, Investoren e commercio al dettaglios-Vermieter treffen Milliarden-Euro-decisioni basato su Besucherfrequenz, 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. Die target definiert il Potenzial del sedes, non umgekehrt.
So aiuta Rascasse
Comprterminae non solo immobiliwerte — bensì chi li lebt e cosa essi 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.
commercio al dettaglio, Hotellerie, Wohnen — abgestimmt su reale targetbeduerfnisse. Wissen Sie, quali sedi cosa wollen, prima che voi investire.
Entscheiden Sie, dove voi investire basato su target-Fit — non solo Miete pro qm.
Reduce risk, increase returns. Let audience data guide capital allocation.
Cosa vedrete
Casi d'uso
Scegliete sedi basato su target-Fit — non solo Besucherfrequenz e Miete. Wissen Sie, chi Ihre neighbors' customers are and whether your concept matches the local demand profile.
Gestalten voi i giusti Mietermix per centri commerciali e gemischt geutilizzae sviluppoen basierend auf 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.
Importanti prestazioneen per immobili
target-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.
Caso di studio
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.