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AQA A-Level Business: Marketing management (7132)

Study guide to marketing management for AQA A-Level Business (7132): objectives, market data, segmentation and the 7Ps, with worked examples.

Subject
Business
Level
A LEVELS
Topic
Marketing management
Updated

Aligned to AQA A Level Business (7132), For first teaching from September 2023. Official specification .

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

Syllabus points this page covers

7132

  • 3 Marketing management (whole topic)

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This guide covers the whole marketing section of the AQA AS and A-level Business specification (7131/7132), numbered 3.3.1 to 3.3.4 in the specification text, for A-level Business (7132). The specification says each A-level paper assesses all the content, so marketing can appear on Paper 1, 2 or 3 in any question style. Where the specification gives no formula, this guide gives the standard form and says so.

Related pages: revision notes, practice questions, stakeholders, the AQA A-Level Business hub, the checklist and free diagnostics. The AS marketing guide follows a later specification text but is a useful second explanation.

Map of the topic

Section What you must cover
3.3.1 Setting marketing objectives Value of objectives; the five listed objectives; external and internal influences
3.3.2 Understanding markets and customers Primary and secondary research, qualitative and quantitative data, market mapping, calculations, sampling, correlation, confidence intervals, extrapolation, technology, elasticity, using data
3.3.3 Segmentation, targeting, positioning Process and value; four segmentation methods; niche and mass marketing; influences
3.3.4 The marketing mix 7Ps, product, price, promotion, place, people, process, physical environment, integration, digital marketing and e-commerce

The specification asks you to consider five themes throughout: technology (digital marketing, social media, relationship marketing, dynamic pricing), ethical and environmental influences, market conditions and competition, competitiveness, and links with other functions.

3.3.1 Setting marketing objectives

Marketing objectives give the function a target, a way to judge success and a link to the corporate objectives. They let operations, finance and human resources plan for the demand marketing expects. The specification lists:

  • sales volume (units sold) and sales value (revenue)
  • market size (the total sales of all firms)
  • market growth and sales growth
  • market share (the firm’s percentage of the market)
  • brand loyalty (repeat purchase and resistance to rivals).

External influences: competitors’ actions, economic conditions, technology, social and ethical attitudes, environmental concerns and legislation (in general terms). Internal influences: corporate objectives, finance available, production capacity, staff skills and the firm’s brand and product range.

Example. Ostrelby Teas wants share to rise from 8% to 10% in two years. The target is only realistic if operations can raise output and finance can fund the extra stock and promotion. A rival’s price war would be an external influence that could force a rethink.

3.3.2 Understanding markets and customers

Research and market mapping

Primary research is gathered first-hand (surveys, interviews, focus groups, trials). It fits the firm’s question but costs more and takes longer. Secondary research uses existing data (government statistics, trade reports, the firm’s sales records). It is cheaper and quicker but may be out of date or not quite relevant.

Quantitative data is numerical (sales, prices, percentages). Qualitative data explains attitudes and motives (why buyers prefer a brand). Good research uses both. Market mapping places brands on a chart with two scales (for example price and quality), showing where rivals cluster and where a gap lies.

Calculations

You must be able to calculate market growth, sales growth, market share and market size.

  • Market growth (%) = change in market size ÷ original market size × 100
  • Sales growth (%) = change in sales ÷ original sales × 100
  • Market share (%) = firm’s sales ÷ total market sales × 100
  • Market size = firm’s sales ÷ market share (rearranged)

Worked example. The tea market grew from £480m to £528m. Ostrelby Teas sales rose from £38.4m to £46.2m.

  • Market growth = 48 ÷ 480 × 100 = 10%.
  • Sales growth = 7.8 ÷ 38.4 × 100 = 20.3%.
  • Share was 38.4 ÷ 480 = 8.0%, now 46.2 ÷ 528 = 8.75%.
  • Check: £46.2m ÷ 0.0875 = £528m.

Sales grew faster than the market, so share rose. Always compare the two growth rates.

Sampling, correlation, confidence intervals and extrapolation

Asking everyone is too costly, so firms use a sample. A sample is cheaper and faster, but it brings sampling error. A larger, representative sample narrows the error. Random, stratified and quota are common sampling methods.

A confidence interval is a range around a sample result in which the true value probably lies. A sample of 400 finds that 30% would buy a new tea. A 95% interval of about plus or minus 4.5 percentage points gives 25.5% to 34.5%. With a sample of 100 the range is about plus or minus 9 points. You need the concept, not the calculation. A wide interval warns that the data cannot support a confident decision.

Correlation measures how two variables move together. Positive correlation: both rise together. Negative: one rises as the other falls. The closer the points lie to a line, the stronger the relationship. Gilsland Garden Centre recorded weekly advertising spend and sales (both £000):

Advertising 3 5 6 8 9 12
Sales 41 44 52 49 58 60

The points show strong positive correlation (a correlation coefficient of about 0.92). That does not prove advertising caused the sales: weather or a local event might be behind both.

Extrapolation extends a trend beyond the data. The fitted line suggests £100k of sales at £30k advertising, but the data stop at £12k. Diminishing returns or saturation may break the pattern, so treat extrapolated figures with caution, especially far from the data.

Technology and data

Technology gathers data (website analytics, loyalty cards, social media listening, online surveys) and analyses it (large data sets, customer relationship software). The value is speed, detail and the ability to target individuals. The risks are cost, poor-quality data, customer privacy concerns and data-protection duties (described in general terms here).

Elasticity

You must interpret price and income elasticity of demand and analyse the effect on revenue. The specification says you do not need to calculate them. For reference, the standard forms are:

  • PED = % change in quantity demanded ÷ % change in price
  • YED = % change in quantity demanded ÷ % change in income

If PED ignoring the sign is above 1, demand is elastic: price changes lead to proportionately larger quantity changes. If below 1, demand is inelastic. A positive YED means a normal good, above 1 a luxury-type good; a negative YED means an inferior good.

Worked example. Salterbeck Bakery sells 2,000 loaves a week at £4.00. Its research estimates PED of −2.5. A cut of 8% to £3.68 raises quantity by 20% to 2,400. Revenue goes from £8,000 to £8,832, up 10.4%. If PED were −0.4, a 10% rise to £4.40 would cut quantity by 4% to 1,920 and revenue would rise 5.6% to £8,448. So: elastic demand, cut price to raise revenue; inelastic demand, raising price raises revenue.

With a YED of +1.8, a 3% rise in incomes raises demand by 5.4%. With a YED of −0.6, demand for the inferior good falls 1.8%.

Using data in decisions. Data supports choices but is not the decision. Judge it on age, sample size, bias, cost and whether it measures what the firm needs.

Two bars show the tea market at 480m and 528m pounds with Ostrelby Teas in gold: 38.4m then 46.2m. Market growth is 10 percent, sales growth 20.3 percent and share rises from 8.0 to 8.75 percent. Sales grew faster than the market, so share rose.
The lesson's own worked example: sales beat the market, so share rose.
Revenue as price times quantity. With PED -2.5 an 8 percent price cut lifts revenue from 8,000 to 8,832 pounds; with PED -0.4 a 10 percent rise lifts it from 8,000 to 8,448 pounds.
Elastic demand rewards a price cut; inelastic demand rewards a price rise.
Scatter of six weeks of advertising against sales with a line of best fit, r about 0.92. The line extended to 30 thousand pounds predicts about 100 thousand pounds of sales, far beyond the data.
Strong correlation does not prove cause, and extrapolation far beyond the data is unreliable.
A number line with a dashed line at the 30 percent sample result. A sample of 400 gives 25.5 to 34.5 percent (plus or minus 4.5 points); a sample of 100 gives 21 to 39 percent (plus or minus 9 points). A wider interval warns the data cannot support a confident decision.
A bigger sample narrows the confidence interval around the same 30% result.
Two bars show demand after a 3 percent rise in incomes: a normal good with YED +1.8 rises 5.4 percent, an inferior good with YED -0.6 falls 1.8 percent.
YED multiplied by the income change gives the change in demand, up for normal goods and down for inferior goods.
Four scatter graphs show positive and negative correlation, strong and weak, each with a line of best fit. A panel shows weather driving both ice cream and sun cream sales, so correlation is not cause.
Strong correlation means dots close to a line; correlation shows association, not cause.

3.3.3 Segmentation, targeting and positioning

The process runs in order: segment the market into groups with similar needs; target the segments worth serving; position the product in buyers’ minds against rivals. The value is that the marketing mix can be matched to a defined group, which can raise sales and avoid wasted spending.

The specification lists four segmentation methods:

  • Demographic: age, gender, family size, occupation.
  • Geographic: region, city or country, urban or rural.
  • Income: spending power, such as budget or premium buyers.
  • Behavioural: how people buy or use (frequency, loyalty, occasion, benefits sought).

Targeting may be mass marketing (a broad market, one mix, low cost per customer, high competition) or niche marketing (a small specialised segment, often higher prices and less competition, but limited size and risk if tastes shift).

Influences on choosing a target and positioning include segment size, growth and profitability, competitors’ strength, the firm’s resources, its brand image and its objectives.

Positioning map (price against perceived quality):

High quality Low quality
High price Ostrelby Teas premium range rare position (hard to defend)
Low price gap in the market supermarket own-label

The gap suggests a mid-priced high-quality position, though the firm must check there is demand.

A two by two map of price against perceived quality: Ostrelby premium (high, high), a rare position (high price, low quality), supermarket own-label (low, low) and the gap (low price, high quality).
The gap on the map suggests a mid-priced, high-quality position, subject to demand.
Three steps in order: segment (demographic, geographic, income, behavioural), target (mass or niche), position against rivals in buyers minds.
The process runs in order: segment, target, position.

3.3.4 The marketing mix

The 7Ps are product, price, promotion, place, people, process and physical environment. The mix must work for goods and services, industrial and consumer buyers. Consumer goods include convenience (low price, frequent, little thought, such as bread), shopping (compared on price and quality before buying, such as a laptop) and specialty (strong brand loyalty, buyers will search or wait, such as a designer watch). Industrial buyers are firms; they value reliability, technical support and long-term contracts.

Product

Product portfolio analysis helps manage the range. The Boston Matrix plots products by market growth (vertical) and relative market share (horizontal). Relative market share, in its standard form, is the firm’s share divided by the share of the largest rival.

Ostrelby product Own share Largest rival Relative share Market growth
Classic bags 30% 15% 2.0 2%
Matcha 24% 16% 1.5 12%
Chai 6% 30% 0.2 11%
Cold cans 5% 20% 0.25 −1%

Classic bags: cash cow (high share, low growth) that funds others. Matcha: star (high share, high growth) needing investment. Chai: question mark (low share, high growth) to build or drop. Cold cans: dog (low share, low growth), a candidate for withdrawal. The value is a balanced portfolio. Its limit: results depend on how the market is defined.

The product life cycle has introduction, growth, maturity and decline. Sales and profit rise through growth, flatten in maturity and fall in decline. Extension strategies delay decline: new packaging, new markets, new uses, price changes or product modifications. The model assumes a set pattern that real products may not follow.

New product development is shaped by research findings, technology, competition, cost and the firm’s risk attitude. Its value is protecting the portfolio against decline, but it is costly and may fail.

Price

Penetration pricing sets a low price to win share fast. Price skimming sets a high price for early adopters, then lowers it. Craigholt Audio’s earbuds cost £18 to make. Skimming at £60 gives a margin of £42 (70%); penetration at £34 gives £16 (47.1%). Skimming suits novel products with few rivals; penetration suits price-sensitive markets and loyalty building. Other methods include cost-plus and competitor-based pricing. Dynamic pricing adjusts prices with demand in real time, using data.

Promotion

The promotional mix combines advertising, sales promotion, public relations, personal selling and digital and social media. Branding builds recognition, trust and loyalty, which can support higher prices and brand loyalty objectives. Choice depends on budget, target market and product type.

Place

Distribution choices include direct to customers or through wholesalers and retailers. Multi-channel distribution sells through several routes (shops, website, marketplaces), raising reach but adding complexity and the risk of channel conflict.

People, process and physical environment

For services especially: people (skills, attitude, training) shape experience; process is how the service is delivered (waiting time, online ordering); physical environment is the setting (layout, website design, packaging).

Integration, digital marketing and e-commerce

An integrated mix has elements that support one another. Influences are product life cycle position, the Boston Matrix, type of product, marketing objectives, target market, competition and positioning. A premium specialty brand cannot sell in a discount-style setting without damaging its position.

Digital marketing (social media, search, email) is targeted and measurable but needs skill and can be copied. E-commerce widens reach and cuts shop costs but brings delivery, returns and security costs. Relationship marketing builds long-term links, such as loyalty schemes.

Growth against relative share, split at 1.0 and 5 percent growth. Classic bags are a cash cow, Matcha a star, Chai a question mark and Cold cans a dog.
The four Ostrelby products placed on the Boston Matrix using relative share.
Two bars to one scale: skimming at 60 pounds gives a 42 pound margin (70 percent); penetration at 34 pounds gives 16 pounds (47.1 percent), on a cost of 18 pounds.
Skimming earns a larger margin per unit; penetration trades margin for share.

Common errors

  • Calculating share as a percentage of the firm’s own sales rather than the market.
  • Saying correlation proves cause, or trusting extrapolation far beyond the data.
  • Using absolute market share on the Boston Matrix axis instead of relative.
  • Listing mix elements without linking them to the target market.

Frequently asked questions

What is the difference between primary and secondary research? Primary research is gathered first-hand, through surveys, interviews, focus groups or trials, and fits the firm’s question but costs more and takes longer. Secondary research uses existing data, such as government statistics or the firm’s sales records, and is cheaper and quicker but may be out of date.

What do the four Boston Matrix categories mean? A cash cow has high share in a low-growth market and funds other products, a star has high share in a high-growth market and needs investment, a question mark has low share in a high-growth market and must be built or dropped, and a dog has low share in a low-growth market and is a candidate for withdrawal.

What is the difference between penetration pricing and price skimming? Penetration pricing sets a low price to win market share fast. Price skimming sets a high price for early adopters and then lowers it.

When is demand price elastic? If PED, ignoring the sign, is above 1, demand is elastic, so a price change leads to a proportionately larger change in quantity. If it is below 1, demand is inelastic.

Which section of the AQA Business specification covers marketing? Section 3.3, Decision making to improve marketing performance, numbered 3.3.1 to 3.3.4, covering marketing objectives, markets and customers, segmentation, targeting and positioning, and the marketing mix.

Official syllabus

AQA AS and A-level Business specification (7131 and 7132), section 3.3 Decision making to improve marketing performance, published by AQA.

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