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  • GfK study on product-line purchasing power in Poland
    • 02/21/17
    • Geomarketing
    • Geodata
    • Global
    • English

    GfK study on product-line purchasing power in Poland

    Poland's 2016 retail purchasing power was approximately €89 bil. Around 43 percent of these funds were spent on food, beverages and tobacco products. Basic supply items – food, clothing, health/hygiene – comprised just under two-thirds of Poland's retail purchasing power. But according to GfK's new study, the amount and distribution of this purchasing power varies substantially from region to region.

  • GfK launches RegioGraph 2017
    • 02/14/17
    • Geomarketing
    • RegioGraph
    • Global
    • English

    GfK launches RegioGraph 2017

    GfK will release a completely new version of its geomarketing software RegioGraph at the end of March. RegioGraph 2017 features a new and simplified interface, faster results and numerous new options for analyzing and optimizing locations and sales territories. For the first time, users can work directly with online maps and aerial images. RegioGraph 2017 gives users from all industries an innovative and reliable basis for any location-based decision.

     

     

  • GfK Consumer Insights for Mobile Programmatic Advertising
    • 02/07/17
    • Geomarketing
    • Global
    • English

    GfK Consumer Insights for Mobile Programmatic Advertising

    Mobile data exchange company adsquare is making region-based consumer insights from global market research company GfK available on their platform. The combination of rich consumer insights and a real-time mobile platform takes programmatic advertising to a new level.

  • Map of the month: GfK Purchasing Power Germany 2017
    • 01/25/17
    • Retail
    • Geomarketing
    • Geodata
    • Geo+RealEstate
    • Picture of the month
    • Global
    • English

    Map of the month: GfK Purchasing Power Germany 2017

    GfK's Map of the Month for January illustrates Germany's 2017 per-capita purchasing power at the level of districts (source: "GfK Purchasing Power Germany 2017").

  • Map of the month: GfK Purchasing Power density Germany 2017
    • 12/14/16
    • Retail
    • Geomarketing
    • Geodata
    • Geo+RealEstate
    • Picture of the month
    • Global
    • English

    Map of the month: GfK Purchasing Power density Germany 2017

    GfK's Map of the Month for December illustrates Germany's purchasing power density. Purchasing power density refers to the purchasing power sum per square kilometer (source: "GfK Purchasing Power Germany 2017").

  • Germans' 2017 purchasing power to climb 1.7 percent
    • 12/06/16
    • Geomarketing
    • Geodata
    • Global
    • English

    Germans' 2017 purchasing power to climb 1.7 percent

    Germans' 2017 per-capita purchasing power will increase nominally  by 1.7 percent to €22,239. The country's 25 most populous districts alone  comprise one-fourth of Germany's total purchasing power. These are some of the findings  of the 2017 GfK purchasing power study released today.

  • Tap business-to-business potential with RegioGraph
    • 11/30/16
    • Automotive
    • Geomarketing
    • RegioGraph
    • Global
    • English

    Tap business-to-business potential with RegioGraph

    Efficiency at the press of a button: RegioGraph supports companies of all branches in the optimal use of available resources and regional potential down to the level of street segments. A case study from the business-to-business sector shows how.

  • Map of the month: GfK Purchasing Power Europe 2016
    • 11/29/16
    • Retail
    • Geomarketing
    • Geodata
    • Geo+RealEstate
    • Picture of the month
    • Global
    • English

    Map of the month: GfK Purchasing Power Europe 2016

    GfK's Map of the Month for November illustrates Europe's purchasing power density at the 2-digit postcode level. Purchasing power density refers to the purchasing power sum per square kilometer (source: "GfK Purchasing Power Europe 2016").

  • GfK Purchasing Power Europe 2016
    • 11/08/16
    • Press
    • Geomarketing
    • Geodata
    • Global
    • English

    GfK Purchasing Power Europe 2016

    Europeans have around 0.3 percent more nominal purchasing power per person in 2016 compared to last year. The available net income of the population varies substantially among the 42 countries considered by the GfK study. The highest average purchasing power can be found in Liechtenstein, Switzerland and Luxembourg, while the lowest is in Belarus, Moldova and the Ukraine. Ukrainians have only one eightieth the average purchasing power of Liechtenstein inhabitants. These are some of the findings of the study "GfK Purchasing Power Europe 2016".

  • eCommerce in Germany: Highly varying regional potential for product lines
    • 10/05/16
    • Fashion and Lifestyle
    • Retail
    • Consumer Goods
    • Geomarketing
    • Geodata
    • Global
    • English

    eCommerce in Germany: Highly varying regional potential for product lines

    The distribution of online potential for product groups such as food, clothing, consumer electronics and DIY items differs substantially from region to region. Today GfK published its findings in the first-ever study on regional online potential for 17 product groups in Germany.

  • Map of the month: GfK Purchasing Power for photo and optics Germany 2016
    • 09/22/16
    • Optics and Acoustics
    • Technology
    • Geomarketing
    • Geodata
    • Picture of the month
    • Global
    • English

    Map of the month: GfK Purchasing Power for photo and optics Germany 2016

    In honor of  this week’s photography trade fair Photokina in Cologne, GfK’s Map of the Month for September shows the 2016 regional purchasing power for photography and optics product lines.

  • Building better wind storm models with geodata
    • 09/20/16
    • Financial Services
    • Geomarketing
    • Geodata
    • Global
    • English

    Building better wind storm models with geodata

    A risk modeling company needed reliable boundary and market data to create and validate its windstorm model for Europe. Constructing geographically precise risk models is essential to predicting financial risk for the insurance and reinsurance companies that use our client’s services.

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