Market Research

Market research is the systematic process of collecting and analysing information about a market, its customers, and competitors. Edexcel identifies four purposes:

1. To identify and understand customer needs — a business must know what customers want before designing a product. Without this, it risks investing in something nobody buys.

2. To identify gaps in the market — gaps are unmet needs or underserved segments. A business that spots a gap before competitors can enter with a first-mover advantage. For example, early market research into reusable coffee cups revealed that consumers wanted a stylish, portable option — paving the way for brands like KeepCup.

3. To reduce risk — launching a product is expensive. Market research helps a business test demand before committing to full production, reducing the chance of costly failure.

4. To inform business decisions — from pricing and product design to marketing channels and location, research gives decisions an evidence base rather than leaving them to guesswork.

Key term — market research: the process of gathering, analysing, and interpreting information about a market, target customers, and competitors to support business decision-making.

Primary research (also called field research) is data collected first-hand, directly from customers or potential customers, for a specific purpose. It produces data that did not previously exist.

Method	How it works	Best used when
Survey	A structured set of questions sent to a large sample, often online or by post	Collecting broad quantitative data quickly (e.g. "How much would you pay for this product?")
Questionnaire	A written set of questions; the physical/printed form of a survey	Gathering responses in person — at events, in store, or via post
Focus group	A small group (typically 6–10 people) guided through a discussion by a moderator	Exploring opinions, feelings, and motivations in depth — why people like or dislike something
Observation	Watching how consumers behave in a real setting without asking them directly	Understanding actual (not reported) behaviour — e.g. watching where shoppers linger in a store

Worked example — a new snack brand:

A startup developing a protein bar conducts a focus group with eight gym-goers. The moderator asks them to taste two prototype flavours and discuss their reactions. Participants say they find both "too sweet" and would prefer "more natural" ingredients. This qualitative feedback directly shapes the recipe — information a simple yes/no survey would never have surfaced.

The same startup later runs an online survey of 500 people to find out how much they would pay. This quantitative data helps set the price point.

Secondary research (also called desk research) uses data that already exists and was collected by someone else for a different purpose. It is faster and cheaper than primary research but may not answer the exact question a business needs answered.

Method	Source	Example of use
Internet	Websites, competitor sites, review platforms, social media	A new restaurant reviews Google ratings of competitors; a fashion brand monitors Instagram trends
Market reports	Research firms (Mintel, Euromonitor, IBISWorld)	A gym chain buys a fitness industry report to understand market size and growth projections
Government reports	Office for National Statistics (ONS), Companies House, Census data	A childcare business uses ONS birth-rate data to estimate future demand in a target area

Worked example — BrewDog expanding to a new city:

Before opening a new bar in Leeds, BrewDog might use:

• ONS census data to check the demographic profile (age, income) of Leeds residents
• Mintel's pub and bar market report to understand trends in on-trade alcohol consumption
• Google Maps and TripAdvisor to identify existing craft beer venues and read customer reviews

All three are secondary sources — they already existed. BrewDog did not commission them. But together they give a clear picture of whether Leeds can support another craft bar and where to locate it.

Key term — primary research: data collected first-hand by or for the business; new data that did not previously exist. Key term — secondary research: data that already exists, collected by a third party for another purpose.

Market research produces two fundamentally different types of data, and both are covered in the spec.

	Qualitative data	Quantitative data
Definition	Non-numerical; describes opinions, feelings, and motivations	Numerical; can be counted and statistically analysed
Example	"I love the packaging but the taste is too sweet"	"68% of respondents would buy this product at £2.99"
Typical source	Focus groups, open-ended survey questions, observation notes	Closed survey questions, sales figures, government statistics
Strength	Reveals the why behind behaviour; rich detail	Allows comparison, trends, and statistical confidence
Weakness	Hard to compare across respondents; influenced by moderator	Does not explain why; can miss context

In practice, businesses use both. A questionnaire might include open-ended questions (qualitative) and tick-box questions with numbered scales (quantitative). Using both gives a more complete picture.

Social media as a research tool has become significant enough that Edexcel explicitly includes it in the spec. Platforms like Instagram, TikTok, X (Twitter), and Facebook allow businesses to:

• Monitor sentiment — what consumers are saying about products and brands in real time
• Run polls and surveys cheaply and quickly to large audiences
• Analyse engagement data (likes, shares, comments) to gauge interest in products
• Identify emerging trends before they appear in formal market reports

Worked example — Innocent Drinks monitoring TikTok: When the "Stanley cup" reusable drink trend exploded on TikTok in 2023, a business monitoring social media could spot a growing consumer interest in sustainable, premium drinks products — a useful signal before any formal market report covered it.

Reliability of market research data is a critical issue the spec raises. Research data may be unreliable because:

• Sample size is too small — a focus group of six people may not represent the full target market
• Sample is biased — if only existing customers are surveyed, their views may not reflect potential new customers
• Questions are leading — "Don't you agree that our product is excellent?" nudges respondents toward positive answers
• Secondary data is outdated — a market report from 2019 may not reflect a market changed by the pandemic
• Social media data is self-selecting — people who comment online may hold more extreme views than the silent majority

Exam tip: when asked to evaluate market research, address reliability. A small or biased sample makes findings unreliable even if the method was appropriate. Examiners reward students who identify why data might be limited, not just that it is.

	Primary research	Secondary research
Cost	Higher — requires time, incentives, and analysis	Lower — often free or low cost
Time	Slower — data must be collected from scratch	Faster — data already exists
Relevance	High — designed to answer the exact question	Variable — may not match the specific need
Reliability	Controllable — the business controls sample and method	Less controllable — dependent on how original data was collected
Up to date	Yes — collected now	May be outdated
Best for	Specific, current, targeted questions	Background context, market size, trends

A well-resourced business will use both: secondary research first (cheap, fast, to understand context), then primary research (targeted, to answer specific questions). A startup with a small budget may rely heavily on secondary research and one or two focus groups.

1. Distinguish primary from secondary using the source, not the method

A survey is primary; government statistics from the ONS are secondary. The distinction is not about the topic or the format — it is about who collected the data originally. If the business collected it themselves: primary. If someone else collected it and the business is re-using it: secondary.

2. Link data type to purpose

If a question asks why a business used a focus group, do not just define a focus group. Explain what it gives them that a survey cannot: detailed qualitative insight into opinions and motivations.

3. Address reliability in evaluation questions

Any question that asks you to "evaluate" or "assess" a piece of research expects reliability analysis. Consider: sample size, sample bias, question design, and whether secondary data is current.

4. Use both qualitative and quantitative in 6-mark answers

A strong 6-mark answer on market research methods will reference both data types, explain the difference, and link each to a specific business need. Mentioning only one type limits your marks.

5. Social media is not the same as a survey

Social media data is unsolicited and self-selecting; surveys are designed and targeted. When comparing methods, treat social media monitoring as a distinct approach — fast and cheap, but low on reliability compared to a structured questionnaire.