Methods of Market Research

This page provides an overview of primary and secondary market research techniques, their characteristics, and the purpose of market research.

Primary market research methods involve direct data collection from sources. These include:

• Surveys
• Questionnaires
• Focus Groups
• Observation

Definition: Primary research is the collection of original data directly from the source.

Secondary market research methods utilize existing information from various sources:

• Online resources
• Market reports
• Government reports
• Pre-conducted surveys

Definition: Secondary research involves gathering and analyzing existing data from various sources.

The page also highlights the differences between primary and secondary research:

Primary Research:

• Reliable
• Up-to-date
• More relevant
• Expensive
• Time-consuming

Secondary Research:

• Not reliable
• Outdated
• Less relevant
• Cheap
• Ready to use

Highlight: Understanding the differences between primary and secondary market research techniques is crucial for businesses to choose the most appropriate method for their needs.

The purpose of market research is outlined:

• To understand customers' needs and wants
• To identify gaps in the market
• To inform business decisions based on the market
• To reduce the risk of entering an unknown market

Example: A company might conduct a survey (primary research) to understand customer preferences for a new product, while also analyzing industry reports (secondary research) to assess market trends.

Lastly, the page introduces the concepts of qualitative and quantitative data:

Qualitative Data:

• Participants' opinions
• Non-numerical

Quantitative Data:

• Numerical
• Data in graphical form

Vocabulary: Qualitative data focuses on descriptive information, while quantitative data deals with numerical and measurable information.

This comprehensive overview provides a solid foundation for understanding the various aspects of market research, including primary and secondary research examples and their applications in business decision-making.