Spatialzr turns every address into a location score based on public data, auditable and ready to plug into your valuation, risk and expansion models.
Built for investors, property companies, banks, retailers and portals that need to analyse location quickly across portfolios and networks.
Location drives a large share of real estate performance, yet it is rarely captured in a standard indicator that is comparable from one asset to another.
Location quality can explain up to 60% of a model’s predictive power, far beyond headline rents or vacancy alone.
From portfolio to portfolio, deployment and arbitration decisions rely on local narratives that are hard to compare, document and defend over time.
A transparent, public‑data‑based location score makes addresses, assets and investment scenarios comparable on a single scale, across portfolios and networks.
Spatialzr delivers LISA, a location score dedicated to commercial real estate, so you can quickly analyse portfolios, prioritise sites and enrich your existing tools.
Quickly identify under‑ and over‑valued assets with a location‑first approach, using a comparable score for every address in your portfolio.
Prioritise the best locations to open, relocate or dispose of sites by comparing the location quality of multiple candidates.
Add an objective location score to your valuation models, portals and internal dashboards, so location quality becomes part of every analysis.
Structure investment and divestment scenarios around a consistent location standard, and test your market views at portfolio scale.
LISA analyses each site across six weighted factors – metropolitan context, accessibility, retail activity, economic activity, urban life and environment – using structured public data. The resulting score is transparent, fully auditable and ready to plug into your valuation, risk and expansion models.
Real estate leaders now structure their investment decisions around a robust location score
Research shows that location explains almost 60% of real estate performance prediction, making robust location scores a strategic must.
(Source: McKinsey & Company - article on real estate and location analytics).
Market leaders are turning their models into location-first systems, built on robust, auditable location scores.
Spatialzr provides LISA, a commercial real estate–dedicated location score, ready to plug directly into your valuation and risk models.
The location score for commercial real estate, designed to make your investment, disposal and expansion decisions comparable from one site to another.
LISA provides a consistent location score for every address, ready to use in Excel, your internal models, AVMs and CRE tools.
The score relies solely on structured open data, avoiding dependency on closed databases and easing adoption by risk, investment and compliance teams.
Results are delivered as structured files, ready to feed your benchmarks, portfolio screenings and investment committees.
You can precisely identify locations aligned with your strategy, including in secondary and tertiary markets where competition looks less.
By moving to a location‑first approach, you no longer rely only on local narratives: you back your decisions with a clear, comparable and defensible location score.
LISA is currently available through one‑off analyses tailored to your needs: a single address, multiple sites or a full portfolio. Scores are delivered as structured files, ready to use in Excel or to plug into your internal models
![[object Object]](https://umsousercontent.com/lib_AzpNsgWyClRyCwLd/j5tmqaiaxn1kdzz9.png?w=234)