Unit 3.3 — Market intelligence
Learning outcomes (from the 9587 syllabus). This note is complete when every bullet below is covered.
Learning outcomes
- Importance of market intelligence: the need to understand the customer; the need for sales forecasting (benefits and limitations)
- Primary and secondary research: distinction between primary and secondary research; features of each
You are not required to know the methods of sales forecasting (e.g. time series, moving averages).
Running example: Tropicool wants to understand its customers and predict next year’s juice sales.
Big picture
In plain English: market intelligence is information about the market that helps a business make better decisions. Knowing your customers and predicting sales means you produce the right amount and market it the right way.
Analogy: market intelligence is like a weather forecast before a picnic. You check the forecast (research) to decide what to bring; a good forecast prevents being caught in the rain — but forecasts can still be wrong.
Core content
1. The importance of market intelligence
Understand the customer: a business needs to know who its customers are, what they want, how much they will pay, and how they behave — otherwise it produces the wrong product.
Tropicool uses market intelligence to learn that its customers are health-conscious young adults who want low-sugar drinks and prefer to buy online. This shapes its recipe and packaging.
Sales forecasting: predicting future sales. This matters because:
- Benefits: helps plan production (how much to make), staffing, purchasing/inventory (how much to buy), and finance (cash flow and budgets).
- Limitations: forecasts are uncertain — they rely on past data and assumptions, and unexpected events (a pandemic, a new competitor, a trend change) can make them wrong.
Tropicool forecasts 1 million bottles of sales next year, so it orders 1 million bottles’ worth of ingredients and hires enough staff. But if a health scare about sugar suddenly cuts demand, the forecast is wrong and Tropicool is left with excess stock — showing the limitation of forecasting.
2. Primary and secondary research
| Primary research | Secondary research | |
|---|---|---|
| What it is | New data collected first-hand for the specific purpose | Data that already exists, collected by others |
| Methods/sources | Surveys, interviews, focus groups, observation, test marketing | Government statistics, market reports, the internet, internal sales records |
| Features | Specific and up-to-date, but costly and slow | Cheap and fast, but may be outdated or not specific enough |
Tropicool runs its own primary research — a survey of 500 juice drinkers about flavours (specific and current, but takes a month and costs money). It also uses secondary research — SingStat data on beverage spending and a published industry report (cheap and instant, but the report is a year old).
Analysis & evaluation points (AO3/AO4)
- Primary vs secondary is a trade-off — primary is more relevant but expensive; secondary is cheap but generic. Most businesses use both.
- Forecasts are estimates, not facts — the longer the forecast, the less reliable it is.
- Poor intelligence leads to costly mistakes — overproduction (wasted stock) or underproduction (lost sales).
- Information is only useful if acted upon — collecting data without using it wastes resources.
Language bank: however · on balance · it depends on · trade-off ·
Worked examples (PEEL)
PEEL = Point → Explain → Example → Link. Use this structure for every written answer.
Worked example 1 — “Explain” (6 marks)
Question: Explain the difference between primary and secondary research.
- P (Point): Primary research is collected first-hand; secondary research already exists.
- E (Explain): Primary research is gathered by the business for its own specific purpose, while secondary research is data previously collected by someone else for another purpose.
- E (Example): Tropicool’s own customer survey is primary research; a government beverage-market report is secondary research.
- L (Link): Because primary research is purpose-built it is more relevant, but secondary research is much cheaper and faster.
Worked example 2 — “Evaluate” (10 marks)
Question: Evaluate whether a business should rely mainly on primary research.
- P (Point): Primary research gives specific, current information.
- E (Explain): Because it is designed for the business’s exact question, it is directly relevant and up to date.
- E (Example): Tropicool’s survey asks exactly the flavour and price questions it needs answered, for this year’s launch.
- L (Link): This reduces the risk of the wrong decision.
- Evaluate (AO4): However, primary research is expensive and slow, and small businesses may not afford it. Secondary research is cheap and instant and often sufficient as a starting point. On balance, a business should combine both — secondary first to understand the market cheaply, then primary to answer specific questions before a big decision.
Application bank (Singapore quick reference)
| Idea | Singapore example |
|---|---|
| Secondary research | SingStat (government statistics), industry reports |
| Primary research | Supermarket loyalty-card data, shopper surveys, Grab’s rider feedback |
| Forecasting | Retailers forecasting festive-season demand (Chinese New Year) |
| Understanding customers | NTUC FairPrice using purchase data to stock the right products |
Exam technique
- How it appears: a case study describes a business unsure about demand and asks how it can gather information or forecast sales.
- Model skeleton for “improve market intelligence”: state the information needed → choose primary and/or secondary research → explain the benefit and limitation of each.
- Common pitfalls: describing research methods without the trade-off (cost vs relevance); forgetting the limitations of forecasting.
Self-test checklist
Essay practice: “Evaluate the view that secondary research is of little value to a business.” (25 marks)