Norway Consumer Segmentation provides a powerful set of consumer classification systems developed to assess the socio-economic and geodemographic portraits of neighborhoods across Norway. It consists of analysis variables and two segmentation systems including international and market optimized categories. The data is based on census, government and commercial data.
Norway Consumer Segmentation data enables marketers and analysts to segment, portrait and analyze customers and markets thereby providing valuable insights for database marketing, customer segmentation exercises and network planning.
Based on key demographic and socio-economic characteristics, the Norway Consumer Segmentation data classifies Norway households into categories and groups. The market specific segmentation consists of forty-two categories organized into ten groups. The international segmentation is grouped into five income types and further divided into twenty-five standard life stage categories for consistent classification when comparing across countries. Additional analysis variables are also provided related to presence of children, adult age over 67, household size, Tenure, and average income in local currency.
Data is in accord with local privacy laws and based on census, government and commercial data.
In order to streamline the process of credentialing for data access, please provide the following in the use case section in the verification step once you hit the subscribe button:
Company Name
Full Business Address
State of Incorporation
Company Contact Name
Company Contact Email Address
Company Contact Phone Number
Intended Use Case
QUICK FACTS
Norway Consumer Segmentation:
Is ideal for neighborhood-level analysis and trending.
Provides two segmentation systems with groups and categories as well as key variables for each geography.
Is available at a small geographical level of ‘grunkets’ in Norway.
Easily integrates into most systems for mapping and analysis.
Geographic Level of Aggregation
Data has been anonymized to the Grunket level, representing no fewer than 100 individuals per geography aggregated. File contains data for 119,937 Grunkets.
Formats
This product is delivered as a database file (.dbf) with associated map files.
Update Frequency
Segmentation Data Files are updated on an annual basis.
Permitted Uses
See Acxiom’s Data Use Agreement.
Test use only.
Sample data may not be shared with a third party.
Sample data may not be used in production environment.
Usage information
By subscribing to this product, you agree that your use of this product is subject to the provider's offer terms including pricing information and Data Subscription Agreement , and your use of AWS services is subject to the AWS Customer Agreement .
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This listing uses a single pricing dimension called Product Access (Units), and it is offered free. There are no tiers, instance sizes, or usage add-ons to compare. The one dimension grants subscribers access to the product. As a sample dataset, it lets you evaluate Norway consumer segmentation data before any paid commitment. Because access carries no charge, there is no cost that scales with usage, quantity, or term. You subscribe once to unlock the product.
Top-of-mind questions for buyers
What does one unit of Product Access grant me?
One unit grants your subscription access to the sample dataset. It is a single access grant, not a per-user or per-record count. You subscribe once to unlock the Norway consumer segmentation sample. There are no additional units to add or meter as your usage grows.
Does my cost change as I query or use more of the sample data?
No. Access is free and carries a single flat grant. Nothing meters by query volume, record count, or time. There are no included amounts to exceed and no overage charges. Your cost stays at zero regardless of how much you use the sample.
What kind of data does this sample let me evaluate before a paid commitment?
The sample covers Norway consumer segmentation. It draws on demographic, household, and segmentation attributes used to group people for targeting and planning. You can review the structure and content of this segmentation data before deciding on any paid dataset from the vendor.
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