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Choose the right address — before signing the lease

Spatialzr LISA scores every H3 cell for its capacity to host your brand. Forward-looking Retail score. Comparison across candidate locations. Audit of your existing network.
Not a retrospective catchment study. The location's trajectory.

Transaprent pricing - Immediate delivery

Transparent pricing · Immediate deliverable
FormatPriceDelivery
1 address Popular249€48h Pay now → Include your target address and email in the notes field
3 addresses599€48hPay now → Include your target address and email in the notes field
5 addresses890€48hPay now → Include your target address and email in the notes field
Network audit (10+ sites)On request5 daysContact us →

A bad opening costs more than not opening at all

You sign a lease. Your catchment studies are retrospective: past footfall, existing competition. They don't tell you whether this cell's attractiveness will still be there in 3 years.
An early closure: lease penalties, fit-out write-off, brand damage. The Spatialzr LISA Retail score gives you the trajectory before signing — not after.

4 operational uses

1. Score a candidate address

OLA Retail score for the exact cell. Relative positioning in the city (top 2%, top 10%). Thematic breakdown: footfall, retail mix, soft mobility, transport. Comparison with your other candidates.

2. Expansion pipeline

Map high-potential territories before you have the addresses. Prioritise your next 10 openings based on 3-5 year trajectory, not historical footfall.

3. Audit existing network

Scoring of your entire store portfolio. Identify underperforming locations before they show up in your P&L. Distinguish a structurally weak address from an operational issue.

4. Territorial development

Local authorities and developers looking to attract the right retailers to a ZAC, retail park or town centre regeneration project.

What your LISA report includes

Example — Place de Jaude, Clermont-Ferrand
OLA Retail score: 8.37/10 · Top 1% of the city · 171 qualified cells out of 2,568 analysed

OLA Retail score for the exact cell — not the district, the address
Relative positioning within the city (e.g. top 2%, top 7%)
Thematic breakdown: footfall, retail mix, soft mobility, intercity transport
Comparison across your candidate locations
Mapping H3 AI script — cell-by-cell visualisation
Forward-looking read: location resilience over 3–5 years
Delivered in 48h · PDF report + structured dataset
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Download the full example report
Place de Jaude · Clermont-Ferrand · LISA Retail Analysis

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Your next opening deserves a score, not an opinion.

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