Market size
The total market can be measured by sales value or sales volume. This helps managers judge the scale of the opportunity.
Market research reduces uncertainty by giving managers evidence about markets, customers and competitors. This topic explains why research is used, how primary and secondary data are collected, how samples are selected, and how research findings should be interpreted.
For high grades, do not simply list research methods. You should be able to choose an appropriate method for the context, explain limitations such as bias and cost, interpret numerical and qualitative evidence, and judge how reliable the findings are before recommending a decision.
These subtopics follow the textbook table of contents. Select one to jump directly to it.
The main purpose of market research is to improve decision-making. It gives managers evidence about the market as a whole and about the people who buy or use the product.
The total market can be measured by sales value or sales volume. This helps managers judge the scale of the opportunity.
Growth shows how quickly the market is expanding or contracting. Faster growth may create more room for sales, but the absolute size of the market still matters.
Research can identify competitors, their market shares, positioning and strengths. This helps a business judge the level of competitive threat.
The person or organisation that purchases and pays for the product.
The person who ultimately uses the product. The customer and consumer may be different people.
A customer profile describes characteristics of the customer base, such as age, gender, income, location or lifestyle. Research also distinguishes between needs (things required for survival or essential functioning) and wants (specific products or brands people would like to have).
Primary research can be designed around the exact decision facing the business, but it can be expensive and time-consuming. Poor question design or an unrepresentative group can also produce biased results.
Researchers watch behaviour rather than asking questions. A retailer might measure footfall outside a possible store location.
Questions can be asked face-to-face, by telephone, post or online. Surveys can gather views from many respondents, but wording and response rates affect quality.
A small group discusses a product, brand or issue in depth. This is useful for understanding attitudes and reasons, but the group may not represent the whole market.
A product or marketing approach is tried in a limited area before a wider launch. This provides realistic evidence but costs money and can reveal plans to competitors.
Secondary information may come from company records, government publications, industry reports, newspapers, libraries, websites and specialist research organisations. It is usually a sensible starting point because it can reveal what is already known before the business pays to collect new information.
| Feature | Primary research | Secondary research |
|---|---|---|
| Nature of data | New and collected for the current purpose | Already exists and was collected previously |
| Relevance | Can be tailored precisely to the decision | May not match the exact market, place or question |
| Cost and time | Often more expensive and slower | Often quicker and cheaper |
| Main risk | Bias, poor questions or weak sampling can damage results | Data may be outdated, incomplete or in the wrong format |
The target population is the full group a business wants information about. Surveying every member is often too expensive or slow, so businesses normally research a sample instead.
The main limitation is that a sample may not accurately represent the target population. A sample that is too small or selected badly can give misleading findings.
Every member of the target population has an equal chance of selection.
Strength: reduces deliberate selection bias.
Limitation: requires a list of the population and may take time to locate selected people.
The sample reproduces important proportions in the target population, then people are selected within each group.
Strength: important groups are represented in the correct proportions.
Limitation: the researcher needs accurate information about population structure.
The researcher sets quotas for categories and then finds suitable respondents until each quota is filled.
Strength: relatively quick and practical.
Limitation: selection is not random, so interviewer choice can create bias.
The best method depends on the time available, the budget, how much is known about the target population, whether clear groups exist within it, and how accurate the information needs to be.
Explores opinions, beliefs, attitudes and reasons for behaviour. It often uses focus groups or in-depth interviews and helps explain why customers think or act in a particular way.
Limitation: small groups mean the findings may not be statistically representative.
Produces numerical evidence, usually from larger samples. It can show how many, how much, when or where and makes comparisons and trends easier to measure.
Limitation: numbers may show what happened without fully explaining why.
How accurately the research measures what it is intended to measure. Poor questions, an unsuitable sample or biased data can reduce validity.
The extent to which similar results would be obtained if the research were repeated. Reliable methods should produce reasonably consistent results.
Useful for showing proportions such as market share.
Useful for showing trends and fluctuations over time.
Useful for comparing categories, regions or competitors.
Always check the axes. Changing the scale of a graph can make the same change look dramatic or minor even when the underlying data is identical.
An index number shows percentage change relative to a base year, which is normally set to 100.
An index does not tell you the actual level of sales unless the base value is also known.
Questions open in a pop-up. Each answer is marked immediately, with an explanation so you know why it is correct or incorrect.