Addresses Denmark

Learn about current and future customers at address level with Spotzi’s detailed Denmark address datasets. This address-level data allows you to verify existing customer addresses, geocode current and future customers, analyze customer data at address-level, and uncover big-picture insights from a birds-eye view — all with the click of a button

Denmark’s address data is available as a part of our Spotzi Professional dashboard. Our intuitive dashboards and easy-to-use data tools have streamlined the process of key audience targeting. This allows users to:

Expand into new markets.
Target like-minded audiences.
Segmenting your current/future customers (micro segmentation).
Gain a broader understanding of existing customers.
Determine advanced microtargeting strategies for targeting ads.
Save time on complex data management.

If you’re a data analyst looking for a more in-depth analytics tool, try our Spotzi Enterprise dashboard. This dashboard gives data professionals the option to perform more complex data analytics while also allowing them to export any findings for all their clients’ needs.

"Uncover big-picture insights from a birds-eye view — all with the click of a button."

Keep scrolling to learn more about address data and what geocoding insights can mean for your brand.

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Dataset information

Source:

HERE

Update frequency:

Yearly

Year:

2022

Details

What is an address?

An address describes the physical location of a person, business, or organization. Denmark’s address dataset provides users with the following information for each:

Street address
House number
4-Digit postal code
City name
Geographic location: Latitude (Y) and Longitude (X)

About Denmark’s address data:

Denmark’s addresses have a fixed structure. Each address is structured as follows:

Street name
House number OR P.O. Box
4-Digit postal code
City and/or Municipality
Country

Here is an example of a Danish address — In this case, the University of Copenhagen:

University of Copenhagen
Nørregade 10
DK-1165 Copenhagen
Denmark

Turn data into actionable insights

Stop using Excel sheets that offer no insights. Import your addresses or postal codes and turn them into market ready dashboards. No complex data management needed. Simply turn your company data into profitable insights.

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More details about this data

How can you use Denmark’s address data?

Spotzi’s address data — in addition to our intuitive mapping tool — gives users the ability to “geocode” customer address data quickly and with precision.

Mapping existing customers’ addresses allows you to effortlessly dive into geographic audience segmentation. Once mapped, deeper audience insights and analytics are only a click away.

Here are some examples of how you can use address-level data for your business:

Select, map, and export every address in a desired postal code.
Plot and visualize customer addresses on a map (geocoding).
Find and select postal codes based on existing—or potential—customer addresses.
Compare and verify customer address data.
Select new store or business locations based on the geographic layout of your customer base.
Gain new audience insights using our postal-code level demographics data.
Find like-minded audiences and target potential customers by comparing existing customer addresses to similar postal codes.
Enriching customer data at address level with data sources about consumer spending, consumer behaviour and demographics.
Customer segmentation by income, demographics and buying behaviour (customer micro segmentation).
Exporting address lists to Excel for targeting your direct marketing campaign.

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Addresses

Denmark