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• Available market data
• Market data applications
• Market data features
• Microgeographic data
• Market data by theme
  • Economic demographics
  • Population by age group
  • Demographic data
  • Roper Consumer Styles
  • Financial services potential
  • Purchasing Power
  • Purchasing power by age group
  • Retail purchasing power
  • Purchasing power for retail product lines
  • Purchasing power - Europe
  • POS turnover for the retail trade
  • Retail centrality
  • Commuter flows
  • Location classifications
  • Office supplies potential
  • Company profiles
  • Company distributions
• Market data by country
• Market data samples
• Order market data

What is GfK Roper Consumer Styles?

The GfK Roper Consumer Styles dataset is a key for unlocking valuable information regarding the consumer behavior -- and its underlying causes -- of your target groups. Research suggests that consumer behavior is strongly influenced by a given group's worldview, so understanding more about this allows you to position your products and services more effectively.

GfK Roper Consumer Styles includes the following consumer profiles:

• Dreamers - Motivated to achieve happiness
• Adventurers - Driven by passion
• Open-minded - Seek a balance between self-actualization, social responsibility and pleasure
• Homebodies - Desire material security and status
• Rational-realists - Value hard work and responsibility
• Organics - Search for sustainability and self-actualization
• Settled - Long for peace and harmony
• Demanding - Seek a balance between responsibility, duty and pleasure

How can GfK Roper Consumer Styles help me?

The GfK Roper Consumer Styles dataset gives you a better understanding of the consumer behavior of your target groups, allowing you to tailor your marketing and sales activities more strategically. Alongside other relevant GfK datasets, GfK Roper Consumer Styles serves as a solid foundation for your location planning/assessment and (direct) marketing endeavors.

GfK Roper Consumer Styles is available for the following countries:

• Germany

This dataset is ideal for microgeographic analyses, with data down to the level of street segments.

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