Portugal Consumer Segmentation – SubSection Sample

Portugal Consumer Segmentation data enables marketers and analysts to segment, profile 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 Portugal Consumer Segmentation data classifies Portugal households into categories and groups. The market specific segmentation consists of forty categories organized into nine 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 families, education, industry, property size, 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

Portugal 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 ‘Sub Section’ (or Postcode) in Portugal.

• Easily integrates into most systems for mapping and analysis.

Data has been anonymized to the Sub Section, representing no fewer than 100 individuals per geography aggregated. File contains data for 265,955 SubSections.

This product is delivered as a database file (.dbf) with associated map files.

Segmentation Data Files are updated on an annual basis.

• 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.

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