Cross rent data with the real local economy and uncover the risk before you commit — whether you're looking for a unit or offering one.
Used by +1,200 retail professionals in Spain
Pick an address — the map and the real storefront will appear here.
Our Location Intelligence engine cross-references the requested rent with public data on income, foot-traffic density, retail mix and purchasing behavior in the area. In seconds we calculate your sector's projected rent effort ratio and translate it into a financial risk semaphore, alongside the minimum and optimum daily sales target needed for the unit to be viable.
We combine ZIP code, retail sector, usable square meters, requested monthly rent, estimated average ticket and monthly opening days with external datasets on average income, foot traffic, competitive pressure and seasonality. The output is a rent effort ratio compared to the healthy band for your vertical (between 8% and 15% depending on the category) and a daily unit-sales range required to sustain the lease.
If you're a tenant or retail entrepreneur, you avoid signing suffocating leases and negotiate with real data in hand. If you're a landlord, agency or asset manager, you qualify candidates in minutes, reduce tenant churn and protect the long-term yield of the asset. In both cases you turn a gut-feeling call into an evidence-based financial decision.