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A Level Business: Marketing analysis (Cambridge 9609)

Study guide to Cambridge A Level Business 9609 section 8.1: elasticity, product development, R&D and sales forecasting with worked examples.

Subject
Business
Level
A LEVEL
Topic
Marketing
Updated

Aligned to Cambridge A Level Business (9609), For examination in 2026, 2027 and 2028. Official specification .

Syllabus page (what it covers and how it is assessed): Cambridge A Level Business.

Syllabus points this page covers

9609 (A Level)

  • 8.1 Marketing analysis

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This guide covers section 8.1 (Marketing analysis) of the Cambridge International AS & A Level Business 9609 syllabus for examination in 2026, 2027 and 2028. It is A Level content, taught under topic 8 (Marketing). The syllabus says Paper 3 and Paper 4 are based on the A Level content and that AS content is assumed knowledge, so you should be ready to use these ideas on a case study. The syllabus says answers to the last part of Paper 3 Questions 3 and 4, and to both Paper 4 questions, should show evaluation.

Related pages: revision notes, practice questions, the topic 8 practice set, the marketing mix guide, the course hub, the checklist and the free diagnostics.

What 8.1 asks you to know

Section What you must be able to do
8.1.1 Elasticity Explain elasticity of demand (price, income and promotional); calculate all three; interpret results; show the effect on decisions; judge the limitations
8.1.2 Product development Describe the process; name sources of ideas; explain why research and development (R&D) matters
8.1.3 Sales forecasting Explain why firms forecast; calculate and use the four period centred moving average; describe qualitative methods; show the effect on decisions

8.1.1 Elasticity

Elasticity of demand shows how far buyers react to a change in something else. You compare two percentage changes. The syllabus names three forms.

Form Responds to Formula (standard form)
Price elasticity of demand (PED) Price of the product quantity response (%) ÷ price change (%)
Income elasticity of demand (YED) Consumer income quantity response (%) ÷ income change (%)
Promotional elasticity of demand (PromED) Spending on promotion quantity response (%) ÷ promotional spending change (%)

The syllabus does not print these formulas, so they are given here in their standard form. The percentage change is (new − old) ÷ old × 100. Keep the sign on the answer, because it carries meaning.

Price elasticity of demand

Worked example. Aldergrove Oat Drinks raises the price of its one-litre carton from £2.00 to £2.20. Weekly sales fall from 50 000 to 46 000 cartons.

  1. Price change = £0.20 on a base of £2.00, so the percentage rise is +10%.
  2. % change in quantity = (46 000 − 50 000) ÷ 50 000 × 100 = −8%.
  3. PED = −8 ÷ +10 = −0.8.

PED is almost always negative, because a higher price lowers quantity demanded. Some sources quote only the size. Interpret by size:

  • Size above 1: price elastic. The percentage move in quantity is larger than the percentage move in price.
  • Size below 1: price inelastic. The percentage move in quantity is smaller than the percentage move in price.
  • Size exactly 1: unitary.

Here demand is inelastic. Check the effect on sales revenue: before = £2.00 × 50 000 = £100 000; after = £2.20 × 46 000 = £101 200. Revenue rises by £1 200, which is the usual result when demand is inelastic and the price goes up. If demand were elastic, a price rise would cut revenue and a price cut would raise it.

Income elasticity of demand

Worked example. Zennick Cycles sells two lines. When average household income rises 5%, demand for its premium electric bikes rises 9% and demand for its budget bikes falls 3%.

  • YED for premium bikes = +9 ÷ +5 = +1.8.
  • YED for budget bikes = −3 ÷ +5 = −0.6.

A positive YED means a normal good. A value above 1 means demand grows faster than income, so sales of this product are very sensitive to the economy (often called a luxury). A positive value below 1 means demand rises more slowly than income. A negative YED means an inferior good: demand falls as income rises.

Promotional elasticity of demand

Worked example. Ossian Pet Foods raises its promotional spending on a premium dog food from £40 000 to £50 000 a year. Sales rise from 8 000 to 8 800 units.

  1. % change in promotional spending = 10 000 ÷ 40 000 × 100 = +25%.
  2. % change in quantity = 800 ÷ 8 000 × 100 = +10%.
  3. PromED = +10 ÷ +25 = +0.4.

A positive value means the promotion works, and a value below 1 means each extra pound spent brings a less than proportionate sales response. Whether this is worth it depends on money. The selling price is £15 and the variable cost is £9, so each unit adds £6 of contribution. The extra 800 units add £4 800 of contribution, against £10 000 of extra spending. In the short run the campaign loses money. A longer view (brand loyalty, repeat purchase) could change the judgement.

Using elasticity in decisions

  • Pricing. Inelastic demand supports a price rise to lift revenue. Elastic demand supports a price cut, or a non-price approach such as differentiation.
  • Product range. A high positive YED suggests investing in premium lines during growth. A negative YED suggests budget lines hold up in a downturn, so a mixed range spreads risk.
  • Promotion. A low PromED suggests the budget may be better spent elsewhere, or on a different medium.

Limitations of elasticity

Elasticity gives a number, but the number is only as good as its inputs.

  • It is calculated from past data, and markets change (new competitors, new tastes).
  • It assumes nothing else changed. In practice weather, rival prices, advertising and fashion move at the same time, so the change in quantity may not come from the price alone.
  • The value may differ for different sizes of change, so a result for a 10% rise may not hold for a 30% rise.
  • A small survey or short period gives an unreliable estimate.
  • Time matters. Customers often respond slowly, so a short-run figure can differ from a long-run one.
Number lines show PED of minus 0.8 as inelastic (revenue 100,000 to 101,200 pounds), YED of plus 1.8 for premium bikes (normal) and minus 0.6 for budget bikes (inferior), and PromED of 0.4 where 4,800 pounds extra contribution is less than 10,000 pounds extra spending.
Sign and size of each elasticity value tell the firm what to do.
A demand curve with two revenue rectangles. A 10 percent price rise from $10 to $11 cuts quantity 4 percent from 1,000 to 960. Revenue gained of $960 outweighs revenue lost of $400, so revenue rises from $10,000 to $10,560.
When demand is price inelastic, raising price raises total revenue.

8.1.2 Product development

Product development is the process of turning an idea into a product ready for sale. The syllabus asks for the process, the sources of ideas and the importance of R&D. It does not fix the number of stages, so the sequence below is a typical one.

  1. Idea generation. Collect many ideas.
  2. Screening. Remove ideas that do not fit the firm’s aims, skills, resources or likely demand.
  3. Concept and business analysis. Estimate costs, price, demand and profit for the surviving ideas.
  4. Development. Design and build prototypes, using R&D.
  5. Testing. Use customer trials or test marketing in a limited area.
  6. Launch. Introduce the product, supported by the marketing mix.

Stopping a weak idea is cheapest early.

Sources of new ideas

  • Customers, through surveys, reviews, complaints and social media.
  • Employees, particularly sales staff, who hear what buyers ask for.
  • Competitors, whose products can be studied and improved.
  • Suppliers and distributors, who may know about new materials or trends.
  • R&D staff, who test new technology and materials.
  • Market research, which shows gaps and changing tastes.

Worked example. Muirfield Audio makes wireless speakers. Its sales team reports that buyers keep asking for a speaker that survives a fall into water. A supplier offers a new sealant. These two sources, customers (through staff) and a supplier, make the idea worth screening.

Research and development

Research and development (R&D) is the work a business does to create new products and improve existing products and processes.

Why it matters:

  • It can produce new products that open new markets or extend the product life cycle of an ageing one.
  • A product that is protected, for example by a patent, can give a competitive advantage for a time.
  • It can lower unit costs through better processes.

The limits are just as important. R&D is expensive, results are uncertain, and the payback may take years. A small firm may not be able to afford it. A firm that spends heavily but launches nothing has paid for no return.

A six-stage funnel: idea generation, screening, concept and business analysis, development, testing, launch. Six sources feed stage one: customers, employees, competitors, suppliers, R&D staff, market research. Stopping a weak idea is cheapest early.
Six typical stages narrow ideas to a launch; many sources feed the first stage.
Spending on R&D is expensive, uncertain and slow to pay back. If a product launches, benefits are new markets, a longer life cycle, a patent edge and lower unit costs. If nothing launches the spend earns no return.
R&D can pay off, or cost money with nothing to show.

8.1.3 Sales forecasting

A sales forecast is a firm’s prediction of what it will sell in a coming period. Firms need it to plan production, buy materials and stock, schedule staff, set budgets and cash flow, and decide marketing spending. Too high a forecast leaves unsold stock; too low leaves empty shelves and lost customers.

Four period centred moving average

Time series analysis breaks a series of past sales into a trend (the underlying direction) and seasonal variation (regular differences by time of year). With quarterly data you use a four period moving average. Because four is an even number, the average falls halfway between two quarters, so you centre it.

Method:

  1. Find each four-quarter moving total (add four consecutive quarters, then drop the oldest and add the next).
  2. Add each pair of consecutive totals to get an eight-quarter total.
  3. Divide by 8. This is the centred moving average (CMA), the trend for the middle quarter.
  4. Seasonal variation = actual sales − trend.
  5. Average the seasonal variations for each quarter across the years.
  6. Forecast = projected trend + average seasonal variation for that quarter.

Worked example. Veradale Chocolates records sales (thousand bars):

Year Quarter 1 Quarter 2 Quarter 3 Quarter 4
1 62 48 51 90
2 66 52 55 96
3 71 55 58 101

Four-quarter totals: 251, 255, 259, 263, 269, 274, 277, 280, 285.

For Year 1 Quarter 3: (251 + 255) ÷ 8 = 506 ÷ 8 = 63.25. For Year 1 Quarter 4: (255 + 259) ÷ 8 = 64.25. Continuing gives:

Quarter Actual CMA (trend) Seasonal variation
Y1 Q3 51 63.25 −12.25
Y1 Q4 90 64.25 +25.75
Y2 Q1 66 65.25 +0.75
Y2 Q2 52 66.50 −14.50
Y2 Q3 55 67.875 −12.875
Y2 Q4 96 68.875 +27.125
Y3 Q1 71 69.625 +1.375
Y3 Q2 55 70.625 −15.625

Average seasonal variations (to 2 decimal places): Quarter 1 +1.06; Quarter 2 −15.06; Quarter 3 −12.56; Quarter 4 +26.44.

The trend rises from 63.25 to 70.625 over seven quarters, which is (70.625 − 63.25) ÷ 7 = about 1.05 a quarter. To forecast Year 4 Quarter 1 (three quarters after the last CMA):

  • Trend = 70.625 + 3 × 1.05 = 73.775.
  • Forecast = 73.775 + 1.06 = about 74.8 thousand bars.

For Year 4 Quarter 4: trend = 70.625 + 6 × 1.05 = 76.925; forecast = 76.925 + 26.44 = about 103.4 thousand bars.

The first two and last two quarters have no CMA. Show each total so a slip is easy to find. A forecast made many periods beyond the data carries more risk of error.

Qualitative sales forecasting

Qualitative forecasting uses opinion and judgement instead of past figures. It is useful when there is no sales history, such as a new product, or when conditions have changed sharply.

  • Expert opinion (sometimes a panel asked repeatedly until views converge).
  • Sales force opinion, from staff who know their customers.
  • Consumer panels, surveys and test marketing, which ask potential buyers about intentions.
  • Market research into trends and competitors.

Strengths: it can include new information and works without history. Weaknesses: it is subjective, opinions may be biased, buyers’ stated intentions often differ from what they buy, and it can be slow and costly. Many firms use both approaches.

Impact of forecasting on decisions

A forecast shapes production plans, stock levels, hiring of seasonal workers, finance (an expected peak raises working capital needs), and marketing timing. A forecast of strong growth may justify investment; a forecast of decline may lead to cost cutting or a new product. Because forecasts can be wrong, firms add flexibility such as temporary staff.

Quarterly sales over three years with the centred four-quarter moving average rising from 63.25 to 70.625. Seasonal variation is actual minus trend, such as plus 25.75 in Year 1 Quarter 4. Forecasts are 74.8 for Year 4 Quarter 1 and 103.4 for Year 4 Quarter 4.
Four-quarter centred average gives the trend; forecast is trend plus seasonal variation.
Five anonymous expert forecasts over three rounds. The range narrows from 80 to 45 to 20 and the median moves from 70 to 68 to 66 as experts see a summary and revise.
In the Delphi technique anonymous experts revise their forecasts over rounds until they converge.
Bars compare August actual and September and October forecasts with a 540 capacity line. October is 6 above capacity. Cards show operations, HR and finance consequences and the warning to test the forecast before a bigger workshop.
A forecast above capacity triggers decisions in operations, HR and finance.

Common errors

  • Reversing the seasonal variation: it is actual minus trend.
  • Dividing a pair of four-quarter totals by 4 instead of adding them and dividing by 8.
  • Quoting an elasticity number without saying whether it is elastic or inelastic and what that means for the firm.
  • Ignoring the sign of YED. A negative value means an inferior good.
  • Describing R&D benefits with no cost or risk, so the answer is one-sided.

Frequently asked questions

How do you calculate a four period centred moving average? Add four consecutive quarters to get moving totals, add each pair of consecutive totals, and divide by 8. The result is the trend for the middle quarter.

How do you forecast sales using seasonal variation? Seasonal variation is actual sales minus the trend. Average the variations for each quarter, then add the average for the quarter you want to the projected trend.

What are the limitations of elasticity? It is calculated from past data, assumes nothing else changed, may differ for larger or smaller changes, can be unreliable from a small sample, and short-run figures can differ from long-run ones.

What are the stages of product development? A typical sequence is idea generation, screening, concept and business analysis, development, testing and launch. The syllabus does not fix the number of stages, so a logical order with each step explained is what matters.

Official syllabus

Cambridge International AS & A Level Business 9609 syllabus for examination in 2026, 2027 and 2028 (Cambridge University Press & Assessment), section 8.1 Marketing analysis (8.1.1 Elasticity, 8.1.2 Product development, 8.1.3 Sales forecasting).

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