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  • Optimizing sales with geomarketing
    • 11/11/15
    • Fashion and Lifestyle
    • Geomarketing
    • Geo+MarketShares
    • Global
    • English

    Optimizing sales with geomarketing

    The GfK insights help our clients' sales representatives to focus on the most valuable retail partners.

  • GfK Purchasing Power USA 2015
    • 10/28/15
    • Geomarketing
    • Global
    • English

    GfK Purchasing Power USA 2015

    The average purchasing power in the United States of €35,179 per person is relatively high compared to other countries.

  • GfK Purchasing Power Europe
    • 10/22/15
    • Geomarketing
    • Global
    • English

    GfK Purchasing Power Europe

    Purchasing power in Europe climbed by around four percent this year.

  • GfK Europe Map Edition 2015/2016 depicts current administrative and postcode boundaries
    • 10/15/15
    • Geomarketing
    • Global
    • English

    GfK Europe Map Edition 2015/2016 depicts current administrative and postcode boundaries

    GfK has released its Europe Map Edition 2015/2016, which reflects the thousands of regional changes that have occurred in Europe over the past year.

  • Map of the month: Purchasing power USA
    • 10/13/15
    • Geomarketing
    • RegioGraph
    • Regional Market Data
    • Picture of the month
    • Global
    • English

    Map of the month: Purchasing power USA

    GfK’s Map of the Month for October illustrates the 2015 per-capita purchasing power in the counties of the United States of America (source: GfK).

  • GfK study on German’s 2015 product line purchasing power
    • 09/17/15
    • Geomarketing
    • Global
    • English

    GfK study on German’s 2015 product line purchasing power

    Germans spend 40 percent of their retail purchasing power on food, beverages and tobacco products.

  • Map of the month: OTC purchasing power, Germany
    • 09/15/15
    • Health
    • Geomarketing
    • RegioGraph
    • Regional Market Data
    • Picture of the month
    • Global
    • English

    Map of the month: OTC purchasing power, Germany

    GfK’s Map of the Month for September illustrates Germany’s 2015 purchasing power for over-the-counter products at the level of urban and rural districts (source: GfK). GfK Purchasing Power for over-the-counter (OTC) products reveals the population’s disposable income available for spending on over-the-counter health products sold by drugstores.

  • Map of the month: Sales area provision in Europe
    • 08/25/15
    • Retail
    • Geomarketing
    • RegioGraph
    • Regional Market Data
    • Picture of the month
    • Global
    • English

    Map of the month: Sales area provision in Europe

    GfK's Map of the Month for August shows the 2014 per-capita sales area provision in Europe (source: GfK study on European retail, 2015).

  • GfK webinar demonstrates how CRESTA zones lead to better reinsurance outcomes
    • 08/17/15
    • Geomarketing
    • Global
    • English

    GfK webinar demonstrates how CRESTA zones lead to better reinsurance outcomes

    An Intelligent Insurer-hosted webinar on September 10 from 4-5pm CEST will demonstrate the vital role played by GfK boundary data such as CRESTA zones in successfully managing risk in the insurance and reinsurance industries.

    • 08/05/15
    • Public Services
    • Geomarketing
    • Global
    • English

    Catastrophe models: Only as good as weakest link

    Natural disasters wreak havoc on the communities they strike. I know this firsthand from growing up near New Orleans. I watched as trees were snapped like toothpicks when Hurricane Andrew hit in 1992. Years later, my uncle lost his house when Hurricane Katrina ravaged the Gulf Coast in 2005.

    Over the years I’ve watched with great interest as our predictive technologies have grown more sophisticated. Minimizing loss of life and property requires more accurately forecasting natural catastrophes and responding to them more effectively. The reinsurance industry in particular invests enormous resources in devising predictive algorithms and ever more complex models to determine the likelihood and extent of damages to a given region. GfK’s Geomarketing solution area supplies this industry with the global boundary data at the heart of these models.

    Transforming information into insights

    Natural catastrophe modelers are incorporating ever greater quantities of data into their models. The goal is to take into account all variables that relate to the behavior and repercussions of disaster events. In this era of big data, enormous amounts of information can now be compiled and funneled into these models. But even the most all-encompassing models with the most eloquent algorithms are useless without good foundational boundary data.

     

    For years now, GfK’s Geomarketing solution area has been supplying the industry with this boundary data, which is usually in the form of CRESTA zones and postcode boundaries. Why is this boundary data so important? Because it is the means by which modelers and others in the reinsurance industry geographically link, analyze, aggregate and display the mountains of information with which they are working. Almost all exposure data—asset locations, premiums, loss sums, past claims, flood plain distributions, etc.—has a geographic component such as coordinates or a postcode. This makes it possible to link this information to the polygons formed by boundary units such as CRESTA zones.

    These variables can then be analyzed and displayed cartographically. These visualizations quickly reveal trends and relationships in the data that would not otherwise be apparent. This allows modelers and re-insurers to make more accurate predictions and understand the unique regional characteristics of their markets.

     

    Managing risk with GfK boundary data

    GfK continues to build its partnerships with key players in the reinsurance industry, such as Aon Benfield. The Impact Forecasting division of Aon Benfield develops risk models for catastrophes related to earthquakes, hurricanes, wind storms, floods and other disaster events. These models rely heavily on CRESTA zones and postcode boundaries from GfK’s Geomarketing solution area. Two recent examples are Aon Benfield’s South African hail model and pan-European windstorm model. GfK offers the largest collection of worldwide boundary data available on the market, and is also the official provider of the CRESTA zones. GfK’s boundary data is regularly updated and features detailed, pristinely rendered coastlines, which is an essential feature in the reinsurance industry, as many high-value assets are concentrated in these areas. Additionally, the boundaries offer comprehensive coverage, without any gaps or overlaps, and the nested structure of postcodes and CRESTA zones makes it possible to aggregate data at varying levels of detail. This gives modelers and other users in the reinsurance industry a robust and flexible structure for linking, analyzing and sharing information.

    Natural disasters will continue to challenge communities around the globe, but GfK’s boundary data helps the insurance and reinsurance industries predict and manage these events more effectively.

    Get more insights

    GfK will showcase how its boundary data benefits the reinsurance industry in an Intelligent Insurer-hosted webinar on September 10, 2015, from 3-4pm London time (BST). Titled “Improving exposure data quality and usability with GfK boundary data,” the webinar features a use case by ImageCat, a GfK partner and leading provider of risk and disaster management technologies. You can register for the webinar here.

    For more on our offerings, visit our Geomarketing page or contact christopher.guider@gfk.com.

     

     

  • GfK presents data and prognosis for online retail over the coming decade
    • 08/04/15
    • Geomarketing
    • Global
    • English

    GfK presents data and prognosis for online retail over the coming decade

    GfK comprehensively analyzed the online turnover share of Germany's major product groups.

  • Household types vary widely from nation to nation
    • 07/08/15
    • Geomarketing
    • Global
    • English

    Household types vary widely from nation to nation

    Despite their close proximity, Slovenia, Hungary and the Czech Republic have significantly different sociodemographic characteristics. Household size is a case in point.

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