Better location-based
decisions


Potential
market geodata


A set of micro-territory indicators that affect the demand of different types of services, from retail to financial services through restaurants, home delivery, real estate or urban planning.

Sociodemographics, income, mobility, commercial offer, labor demand, tourism, urban centrality or B2B demand, all in a single service.

Madrid Renta

Fine granularity,
100 meters grids


The data sets converge on a 100 meter grid, a fine granularity that proves optimal for micro-territory analysis.

The grid is universal, reproducible, guarantees temporal traceability and simplifies spatial processes such as density calculation or geocoding.

The indicators are accessible at other levels: road link, building, census tract, postcode or municipality.

micro-territory indicators in Madrid

Continuous national
coverage


The indicators are modeled for the whole of Spain..

This ensures homogeneity and comparability between sites, which is key when applying them in predictive modeling projects, site planning, sales network expansion or customer segmentation.

Tourism on grid in Spain

Open sources and
advanced analytics


The indicators are the result of advanced analytical modeling applied to public sources –mainly- and private sources –occasionally-.

Predictive modeling via machine learning, NLP for categorization/deduplication and Monte Carlo simulations are some of the methods used.

Information of passersby in the city of Barcelona

Micro territory indicators, all the variables that shape the demand of a point of sale on a single map


Micro territory indicators, all the variables that shape the demand of a point of sale on a single map

We use advanced analytical methods to model micro-territory indicators from open data


Data Access


The indicators can be accessed in various ways, depending on the user's needs:

Check our API documentation

API

API query by coordinates, trade area, postcodes, site recommentation...

Smart application with your integrated data

Product

Delivery of tables for integration in corporate databases, BI, CRM, ERP, Location Intelligence application

Location-based custom applications

Location Intelligence

Custom online application combining external data, internal data, and ad-hoc data sets

Advanced analytics models customized by client and project

Consulting

Integration of data in advanced analytics models, customized by client and project

Use cases


Our clients are using our geodata to better locate their sale points, optimize their network, optimize assortment, delivery network and click & collect strategy.

Network strategy

Network strategy


The revenue of physical sales points is more and more constrained, customers and business share channels... what is the optimal network? What points are missing or unnecessary? How to adapt offer to potential demand in each area?

Relate cost and profitability

Optimal expansion


Each new site must be profitable. In retail, banking, insurance, services, leisure measuring demand, competition, cannibalization, channel mix, ultimately cost and profitability, is essential.

Interconnected experience by and for your clients

Omnichannel customer


Customers systematically share online and offline channels, so what is the optimal offer mix? New shops or collection points? What delivery costs do we bear, what prices are optimal for the customer? Environment data, combined with internal data, has the answer.

Improve the analytical model to make optimal decisions

Enrichment


The best analytical model is as good as the data that feeds it. Enriching clients, own and competitive points of sale, real estate, advertising media... allow optimal decisions to be made.

Use cases


Our clients are using our geodata to better locate their sale points, optimize their network, optimize assortment, delivery network and click & collect strategy.

The revenue of physical sales points is more and more constrained, customers and business share channels... what is the optimal network? What points are missing or unnecessary? How to adapt offer to potential demand in each area?

Each new site must be profitable. In retail, banking, insurance, services, leisure measuring demand, competition, cannibalization, channel mix, ultimately cost and profitability, is essential.

Customers systematically share online and offline channels, so what is the optimal offer mix? New shops or collection points? What delivery costs do we bear, what prices are optimal for the customer? Environment data, combined with internal data, has the answer.

The best analytical model is as good as the data that feeds it. Enriching clients, own and competitive points of sale, real estate, advertising media... allow optimal decisions to be made.

Use cases by sector


Retail, hospitality, physical service points

Point of sale environment insights, commercial network segmentation, optimal locations in expansion, points of sale specialization, benchmark versus competitor stores.

Real estate, real estate portals, appraisal

Property data enrichment, search by type of area, automatic descriptions based on the area, lead qualification.

E-commerce

Customer data enrichment, such as income, habitat, commercial offer in area, probability of having children, isolated detached houses (affects the choice of online channel), collection points optimal network.

FMCG

Potential retail clients enrichment, estimation of their potential demand, optimal reference list, commercial network dimensioning, routes.

Business analytics

Customer data enrichment, logistics & last mile optimization ... in data analysis environments, data science.

Smart city and mobility

Location and sizing of public equipment, travel and transport demand simulation, distributed city design.

Out of Home advertising

Qualification of every support in network, to adapt the offer to target audience -residents, offices, traffic, passer-by density-

Home services

Of all kinds: delivery, take away, enriching clients by their socio-demographics, type of neighborghood -urban vs rural vs disseminated-, type of dwelling -dettached, semidettached, apartments...-

Contact Us


¿Do you want to try out our products or services?
Get in touch.

Address

C/ Ávila, 48 3º local 6
08022 – Barcelona

Social Media

Some of our customers


Access to demos


Access our form to request sociodemographic data, income, tourism, etc.

API

Access our form to request sociodemographic data, income, tourism, etc., by different methods. Ask for your API Key!

Explore our demo microdata, 8 postal codes in Madrid and Barcelona.

Product

Explore our demo microdata, 8 postal codes in Madrid and Barcelona.

Access location intelligence applications with our microdata for various sectors

Location Intelligence

Access location intelligence applications with our microdata for various sectors: retail, pharma, real estate.