Geomarketing analyses current and potential markets by spatial structures
Starting as infas geodaten, we were one of the pioneers in the Geomarketing branch. We achieved an excellent reputation in this branch and in the economy with innovative data, solutions and services as well as events like the branch congress “Kompetenzforum Geomarketing” or the “Marketing 3D-Club”, but also with specialist publications like “Handbuch Geomarketing”, “Geodatenführer” as well as “Geomarketingjournal”. Today we continue this tradition as infas 360 with a further developed and contemporary portfolio.
Geomarketing supplements the classic marketing mix consisting of product, price, distribution, and communication with the spatial perspective. Thus, spatial connections can be easily identified since the market can be differentiated regionally and geographically respectively.
Geomarketing combines market as well as spatial data from official and private sources with data readily available (open data) and your own corporate key figures.
Reducing the distance between product and customer
In traditional trading, the distance between product and customer is a natural barrier, physically or economically. The entrepreneurial task is to identify optimum proximity to customers and potential, so that the least possible physical distance must be overcome from the consumer's point of view. The key word here is spatial product availability.
Based on the findings from our geomarketing analyses you can reduce the distances and improve your strategical orientation towards your customers. We assist you in selecting the right distribution channels and the appropriate marketing measures.
Transfer into the map
A map serves as an ideal medium for presenting almost all geomarketing-specifc issues. Area and location analyses are visualized meaningfully on digitized maps. Thus, you get custom-tailored maps according to your requirements. The map provides a good overview - regardless of whether it depicts administrative or individual divisions of areas or whether your data and analyses describe buildings or consumers.