Market Research

What is Market Research?

Market research is the process of gathering, analyzing, and interpreting information about:

  • A market (i.e., a specific industry or segment)
  • A target audience or customers
  • Competitor analysis
  • Products or services

The goal is to understand what people want, how they behave, and what influences their decisions, so businesses can make informed choices.

Market research analysts collect and analyze data to evaluate existing and potential product/service and market analysis. They help companies make informed decisions by identifying market trends, customer preferences, and the competitive landscape.

There are two primary market research techniques in Business research. Qualitative Market Research and Quantitative Market Research.

The main difference between qualitative and quantitative research lies in what kind of data is collected and how it is analysed. Qualitative research is about depth of information while quantitative research is about the width of information

🔍 Qualitative Research

Purpose: To understand opinions, motivations, feelings, and experiences.

Data Type: Non-numerical, descriptive data.

Qualitative Data Collection Methods:

  • In-depth interviews
  • Focus groups
  • Open-ended surveys
  • Observations

Analysis: Thematic or content analysis (finding patterns or meanings in the responses).

Sample Size: Smaller, not statistically representative.

Example Question: Why do customers prefer Brand A over Brand B?

📊 Quantitative Research

Purpose: To measure and analyze numerical data.

Data Type: Numerical, measurable data.

Quantitative Data Collection Methods:

  • Structured surveys or questionnaires with closed-ended questions
  • Experiments
  • Statistical analysis

Analysis: Statistical (averages, percentages, correlations, etc.).

Sample Size: Larger, statistically significant.

Example Question: What percentage of people prefer Brand A over Brand B?

Why It's Important

  • Helps reduce business risks
  • Identifies opportunities
  • Supports data-driven decision making
  • Helps refine products or services
  • Improves customer satisfaction and retention