Choose premises by who walks past and who lives nearby

The figures you can write into a brief

Claro by Casafari accepts location figures as criteria in the same sentence as size, rent or a corner unit. Each figure is measured around the premises, not taken from the listing text.

Write a threshold the way you would brief a broker: 'at least 15,000 people a day walking past', 'a high-income share of at least 30%', 'at least 20,000 residents within a 10-minute drive'. Claro shows each criterion it has read as a chip you can check and correct.

• Footfall within a 5-minute walk: people a day, split weekday versus weekend, by time band (morning, lunch, afternoon, evening) and by profile (locals, commuters, tourists).
• Residents within a 10-minute walk and within a 10-minute drive: the área de influencia (catchment) around the premises.
• Age share of residents in five bands: 0–14, 15–29, 30–44, 45–59 and 60+.
• High-income share and spending power of residents.
• Places nearby: transport stops, restaurants, cafés, shops, supermarkets and gyms.

A figure as a criterion, not a colour on a map

A common approach to location data is a heat map of areas. A map shows which streets are busy; it does not say which premises on those streets are on the market and fit the rest of your brief.

Claro applies the figure to each premises. A threshold becomes a verdict with the measured number beside it, for example 'Footfall ≥ 12,000 a day: met, 16,900 within a 5-min walk' (example figures).

The results are ranked premises, not areas. Each premises carries its listing facts and its location figures together, so every candidate is judged against the whole brief. For a comparison of approaches, see site selection tools in Spain.

• Met: the measured figure reaches your threshold, and the number is shown.
• Not met: the figure is below your threshold, and the number shows by how much.
• Not stated: no figure is available yet for that premises.

Where are the figures available?

Claro shows location figures for premises across Spain where available. The figures come from a Casafari group company, and the one free search includes them where they exist.

For recently added premises, the location figures fill in over the following days.

When a premises has no figure yet, Claro marks that criterion not stated. Claro does not assume a figure; the verdict changes only when measured data arrives. The methodology explains how each fact is kept with its source.

How to read the footfall split

A daily total hides when a street is used and by whom. In the example above, 19,100 people a day on weekdays against 12,400 at weekends describes a street that is busier during the working week (example figures).

Time bands separate morning, lunch, afternoon and evening; the profile split separates locals, commuters and tourists. A coffee shop built on breakfast trade and a restaurant built on dinner can read the same street differently.

The footfall guide explains what 'people a day within a 5-minute walk' measures and how to set a threshold that suits your format.

• Weekday versus weekend: whether the street depends on the working week.
• Time band: when the passers-by are there.
• Locals, commuters and tourists: who the passers-by are.

Combine footfall with competitors and underserved areas

Location figures sit alongside every other check in one brief. Add 'no coffee shop within 200 m' to keep away from competitors, as in premises with no competitor nearby. Competitor distances run from 1 to 1,000 m in a straight line; with access, the top 20 results are re-checked on foot.

To start from demand rather than from passers-by, ask for underserved areas: Claro sorts premises by residents within a 10-minute walk per similar business within 600 m and shows those inputs on every result.

All seven jobs teams give Claro are on the use cases page.