3.2 Market research
- Syllabus
- 9609–2026–2027
- Topic
- 3.2
- Level
- AS
Learning objectives
3.2.1Market research purposes• The purposes of market research- identification of main features of a market: size, growth, competitors- identification of customer and consumer characteristics, profiles, wants and needs3.2.2Primary research and secondary research• Primary research and secondary research- the distinction between primary research and secondary research, and the main features of each- usefulness of data collected using primary research methods- usefulness of data collected from secondary research sources3.2.3Sampling• Sampling- the need for and limitations of sampling3.2.4Market research data• Market research data- the reliability of the data collected- analysis of quantitative and qualitative data- interpretation of information presented in tables, charts and graphs
Market research turns a decision gap into relevant evidence
Market research systematically collects and analyses information about a market, customers/consumers and competitors to reduce uncertainty before a decision. It can test viability, reveal gaps/trends, guide product development and the marketing mix, and monitor satisfaction or performance.
| Information needed | What it reveals | Decision use |
|---|---|---|
| Market size and growth | Current/future opportunity and maturity | Entry, capacity, investment and sales objectives |
| Competitors, offers, prices and shares | Threats, gaps and possible differentiation/USP | Positioning and marketing mix |
| Customer/consumer characteristics and profiles | Who buys/uses: e.g. location, demographics, lifestyle | Targeting, channels and communication |
| Wants, needs, behaviour and feedback | Desired benefits, problems, willingness to pay and satisfaction | Product/service development, price and relationship actions |
Before developing a hotel service, management might combine guest complaints, competitor amenities, target-customer interviews and booking trends to decide whether faster check-in, reliable Wi-Fi or healthier food solves the binding problem.
Research reduces risk; it does not eliminate it. Respondents may misstate intentions, markets can change, and product quality, finance or operations may matter more than the information gap.
Primary methods create tailored evidence; secondary sources reuse existing evidence
Primary research collects new first-hand data for the business's current purpose. Secondary research uses data that already exists, collected internally or by another person/organisation, often for a different purpose. Either origin can produce quantitative numbers or qualitative opinions/reasons.
| Primary method | Useful evidence | Main limit |
|---|---|---|
| Questionnaire/survey | Many standardised responses and comparisons | Wording, low response and shallow answers |
| Interview/focus group | Detailed reasons, attitudes and follow-up | Small groups, interviewer/group bias, time/cost |
| Observation/online behaviour analytics | Actual actions/usage patterns | Motives unclear; consent/privacy and interpretation |
| Product trial/sample/test marketing | Direct response to the offer in context | Cost, limited setting and trial behaviour may not persist |
| Secondary source | Possible use | Main check |
|---|---|---|
| Internal sales, complaints, accounts/reports | Demand, customer journey and performance patterns | Definitions, missing data and past strategy |
| Government/census/official statistics | Population, income, industry and location evidence | Timeliness, geography and category fit |
| Industry reports, journals, newspapers/magazines | Trends, forecasts and specialist context | Publisher method, bias, access cost and date |
| Competitor reports/websites/media feedback | Offers, prices, positioning and perceptions | Selectivity, comparability and authenticity |
Primary data is specific, current, controllable and confidential but costs time/money and may still be biased. Secondary data is often quicker, cheaper and broad, but can be outdated, not tailored, unavailable to competitors equally, or measured differently. Combine sources when they answer different parts and cross-check one another.
Primary does not mean accurate and secondary does not mean weak. Judge relevance, method, sample, source credibility, date, definitions, cost and decision urgency.
Sampling saves resources but introduces representation risk
Sampling selects a subset of people/customers to represent the target population or market. A census asks the whole population; sampling is usually faster, cheaper and more practical when the population is large, dispersed or changing, and it reduces the opportunity cost of research.
Define the target population, sampling frame, sample size and selection rule before collection. Random/systematic approaches can reduce researcher choice; quota/stratified approaches ensure relevant groups are covered; convenience or volunteer samples improve access but often increase selection bias.
| Limitation | Why it matters | Possible business consequence |
|---|---|---|
| Unrepresentative frame/selection or non-response | Included people differ from target market | Misleading demand/preferences and wrong marketing decision |
| Sample too small or poorly balanced | Random error/subgroups dominate or disappear | Low confidence and unstable estimates |
| Biased/ambiguous questions or dishonest responses | Measurement does not reflect true views/behaviour | False conclusions even from a well-selected sample |
| Skilled design, travel and analysis cost/time | Expertise or agency may be needed | Slower action and opportunity cost |
A large sample can still be biased; a smaller well-designed sample can be more useful. Sampling error cannot be eliminated simply by presenting precise percentages.
Reliable market data needs sound collection, analysis and context
| Data type | What it records | Analysis and value |
|---|---|---|
| Quantitative | Numerical counts, ratings, sales, percentages and trends | Tables, percentages, mean/median/mode, index numbers and bar/pie/line charts reveal size, comparison or change |
| Qualitative | Words, opinions, motives, experiences and explanations | Coding themes/quotes and comparing reasons reveal why people respond or behave; interpretation can be subjective |
Before trusting results, check research objective, source credibility/date, question wording/order, sampling frame/size/representation, response rate, collection consistency, human/data-entry error, missing values and whether categories/units are comparable. Reliability concerns whether evidence would be consistent and dependable; relevance/validity concerns whether it answers the intended decision.
Read title, population, period, units, axes, legend and denominator before comparing values. Tables preserve exact numbers; bar charts compare categories; pie charts show parts of one total; line graphs show change over time. Look for trend, magnitude, subgroup difference and anomalies, then state what the design cannot prove.
If 120 of 800 responses are positive, positive feedback = 120 ÷ 800 × 100 = 15%. If revenue rises from 50 to 150, percentage increase = (150 − 50) ÷ 50 × 100 = 200%. Preserve the original denominator; a 100-unit rise is not a 100% rise here.
A precise-looking chart is not automatically reliable, and correlation or reported intention does not establish causation or actual purchase. Presentation cannot repair biased collection.