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.
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.
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.
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.
The indicators can be accessed in various ways, depending on the user's needs:
API query by coordinates, trade area, postcodes, site recommentation...
Delivery of tables for integration in corporate databases, BI, CRM, ERP, Location Intelligence application
Custom online application combining external data, internal data, and ad-hoc data sets
Integration of data in advanced analytics models, customized by client and project
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.
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.
Point of sale environment insights, commercial network segmentation, clients data enrichment, optimal locations in expansion, points of sale specialization, benchmark versus competitor stores.
Property data enrichment, search by type of area, automatic descriptions based on the area, lead qualification.
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.
Potential retail clients enrichment, estimation of their potential demand, optimal reference list, commercial network dimensioning, routes.
Customer data enrichment, logistics & last mile optimization ... in data analysis environments, data science.
Location and sizing of public equipment, travel and transport demand simulation, distributed city design.
Qualification of every support in network, to adapt the offer to target audience -residents, offices, traffic, passer-by density-
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...-
Address
Carrer Calàbria, 242
08029 – Barcelona
Phone
+34 659 88 90 32
Accede a nuestro formulario para solicitar datos sociodemográficos, renta, turismo, etc., mediante diferentes métodos. Pide tu API Key!
Access location intelligence applications with our microdata for various sectors: retail, pharma, real estate.
