AQA A-Level Business Studies Interactive Study Resource
Demand represents the quantity of a good or service that consumers are willing and able to purchase at various price levels during a specific time period. The relationship between price and quantity demanded is typically inverse – as price rises, quantity demanded falls, and vice versa (the law of demand).
Understanding what influences demand is crucial for businesses when making decisions about pricing, production levels, and marketing strategies. Changes in demand can significantly impact a business's revenue and profitability.
The most direct influence on quantity demanded. Generally, as price increases, quantity demanded decreases (law of demand), and as price decreases, quantity demanded increases. This inverse relationship occurs because:
Changes in consumer income significantly affect purchasing power and demand patterns:
Real income refers to income adjusted for inflation. Even if nominal income stays the same, rising prices reduce real income and purchasing power, potentially decreasing demand.
Context: High inflation (10%+) eroded real incomes even when nominal wages increased slightly.
Impact on Demand:
This demonstrates how real income changes directly influence demand across different market segments.
Substitutes are products that can replace each other because they satisfy the same need or want. When the price of a substitute changes, it affects demand for the original product:
Examples of substitutes:
Scenario: In 2023, Disney+ reduced its monthly subscription price from £7.99 to £4.99 (with ads option), while Netflix maintained prices at £10.99 for standard plans.
Impact: Disney+ became a cheaper substitute for Netflix, leading to:
This shows how substitute product pricing directly influences demand – when Disney+ became cheaper, it attracted customers away from more expensive alternatives.
Complements are products consumed together – purchasing one increases the likelihood of purchasing the other. When the price of a complement changes, it affects demand for the related product:
Examples of complementary goods:
Context: Electric vehicles (EVs) and charging infrastructure are complementary goods.
Impact of Charging Costs:
Positive Example: Conversely, government grants reducing home charging installation costs (complement) increased demand for EVs by reducing total ownership costs.
Changes in consumer preferences, influenced by trends, fashion, advertising, and social factors, significantly affect demand:
Shift in Preferences: Between 2019-2023, UK consumer preferences shifted significantly toward plant-based diets due to health, environmental, and ethical concerns.
Impact on Demand:
This demonstrates how changing consumer tastes directly shift demand curves for entire product categories.
Changing Preferences (2020-2024): Growing environmental awareness, particularly among younger consumers (Gen Z), shifted preferences toward sustainable fashion.
Demand Changes:
Effective marketing campaigns can increase consumer awareness, change perceptions, and directly increase demand:
Campaign Launch: 2009 – introduced Aleksandr Orlov meerkat character
Impact on Demand:
The campaign directly increased demand for the service by making the brand memorable and creating emotional engagement.
Changes in population size and structure affect overall market demand:
Demographic Trend: UK population aging – over-65s projected to represent 24% of population by 2043 (up from 18% in 2018).
Impact on Demand:
Predictable seasonal patterns and unexpected weather variations influence demand:
Event: July 2022 – UK experienced record-breaking 40°C temperatures.
Immediate Demand Surges:
This demonstrates how unexpected weather events can cause dramatic short-term demand shifts.
The cost and availability of borrowing affects demand for expensive items typically bought on credit:
Context: Bank of England increased base rate from 0.1% (Dec 2021) to 5.25% (Aug 2023) to combat inflation.
Impact on Demand:
Consumer expectations about future price changes influence current demand:
Scenario: March 2010 – speculation that Chancellor would increase fuel duty in upcoming budget.
Impact:
Modern Example: Black Friday sales announcements reduce demand in October/early November as consumers wait for discounts, then surge demand on sale days.
| Influence | Increase Causes | Decrease Causes |
|---|---|---|
| Price | Price decreases | Price increases |
| Income | Income rises (normal goods) | Income falls (normal goods) |
| Substitutes | Substitute prices increase | Substitute prices decrease |
| Complements | Complement prices decrease | Complement prices increase |
| Tastes | Product becomes fashionable | Product becomes unfashionable |
| Marketing | Successful campaigns | Negative publicity |
| Population | Population/target demographic grows | Population/target demographic shrinks |
| Interest Rates | Rates fall (for credit purchases) | Rates rise (for credit purchases) |
Having understood the various influences on demand, we now examine how responsive demand is to one specific influence: price changes. Price Elasticity of Demand measures the responsiveness of quantity demanded to a change in price.
Where: % Change = ((New - Old) / Old) × 100
| PED Value | Type | Meaning |
|---|---|---|
| PED > 1 | Elastic | Demand is responsive to price changes |
| PED < 1 | Inelastic | Demand is unresponsive to price changes |
| PED = 1 | Unit Elastic | % change in price = % change in quantity |
Scenario: Tesco raised petrol prices from £1.30 to £1.43 per litre (10% increase). Sales fell from 2 million to 1.9 million litres (5% decrease).
Calculation:
Interpretation: With PED of 0.5, petrol demand is inelastic. People need fuel for essential journeys with limited short-term alternatives, allowing retailers pricing power.
Scenario: M&S reduced fashion prices by 15%. Sales volume increased by 30%.
Calculation:
Interpretation: Fashion has elastic demand due to many substitutes and discretionary nature. The price cut significantly increases volume, justifying M&S's sale strategy.
| Demand Type | Price Increase | Price Decrease | Strategy |
|---|---|---|---|
| Elastic (PED > 1) | Revenue decreases | Revenue increases | Lower prices |
| Inelastic (PED < 1) | Revenue increases | Revenue decreases | Higher prices |
Scenario: Sold 50,000 tickets at £80. Increased to £88 (10%), sales fell to 46,000 (8%). PED = 0.8 (inelastic).
Revenue Analysis:
Insight: Inelastic demand allowed price increases to boost revenue despite losing some customers.
Income Elasticity of Demand measures how quantity demanded responds to changes in consumer income.
| YED Value | Good Type | Meaning | Examples |
|---|---|---|---|
| YED > 1 | Luxury Good | Demand increases more than income | Designer fashion, sports cars, luxury holidays |
| 0 < YED < 1 | Normal Good | Demand increases with income | Basic clothing, groceries |
| YED < 0 | Inferior Good | Demand decreases as income increases | Value brands, bus travel |
Scenario: UK incomes rose 8% (2012-2015). Waitrose customers increased 18%.
Calculation:
Interpretation: YED of 2.25 shows Waitrose products are luxury goods. For every 1% income increase, demand rises 2.25%. Benefits greatly during economic growth but vulnerable in recessions.
Scenario: During 2008-2010 recession, UK incomes fell 6%. Primark sales increased 9%.
Calculation:
Interpretation: Negative YED shows inferior good characteristics. As incomes fell, consumers traded down from premium retailers to budget options. Primark benefits during economic downturns.
Market segmentation divides a broad market into sub-groups based on shared characteristics. This allows businesses to:
Dividing markets based on measurable population characteristics.
| Variable | Examples | Business Application |
|---|---|---|
| Age | Children, Teenagers, Adults, Seniors | Toys, skincare, financial services |
| Gender | Male, Female, Non-binary | Fashion, cosmetics, grooming |
| Income | Low, Middle, High income brackets | Retail positioning, luxury goods |
| Education | Secondary, A-Level, University | Publishing, professional services |
| Family Stage | Single, Married, Young families | Housing, holidays, cars |
Segment: Over-50s demographic
Strategy: Saga exclusively targets 50+ consumers with tailored holidays, insurance, and financial services.
Marketing Mix:
Success: Become synonymous with quality for over-50s, commanding premium prices in growing market.
Segment: Young adults (16-30), fitness enthusiasts
Strategy: Founded by 19-year-old, grew targeting young fitness enthusiasts through social media influencers.
Marketing Mix:
Results: Reached unicorn status (£1bn+ valuation) by 2020 through precise targeting.
Dividing markets based on location, recognising regional variations in needs and preferences.
| Variable | Examples | Relevance |
|---|---|---|
| Region | England, Scotland, Wales, NI | Cultural preferences, regulations |
| Urban vs Rural | City centres, towns, villages | Transport needs, lifestyle |
| Population Density | High, medium, low density | Delivery feasibility, store locations |
| Climate | Regional weather patterns | Seasonal products, heating systems |
Segment: High footfall urban and town centre locations
Strategy: Strategically locate stores based on geographic factors, with high concentration in Northern England and Scotland.
Geographic Adaptations:
Success: Over 2,300 stores optimised for specific geographic markets.
Dividing markets based on lifestyle, personality, values, and attitudes - understanding why consumers buy.
| Variable | Description | Application |
|---|---|---|
| Lifestyle | Activities, hobbies, interests | Outdoor brands, fitness, travel |
| Personality | Outgoing, cautious, ambitious | Financial products, cars, fashion |
| Values | Environmental, ethical, family-oriented | Sustainable brands, premium positioning |
| Social Class | Income, education, lifestyle aspirations | Luxury brands, mass market |
Segment: Health-conscious consumers valuing natural products and sustainability
Strategy: Built brand around psychographic values rather than demographics.
Psychographic Alignment:
Results: Captured 73% of UK smoothie market at peak by aligning with consumer values despite premium pricing.
Dividing markets based on consumer behaviour - actual purchase patterns and product usage.
| Variable | Examples | Marketing Implication |
|---|---|---|
| Purchase Occasion | Regular, special occasion, seasonal | Timing of promotions |
| Usage Rate | Heavy, medium, light users | Loyalty programs, incentives |
| Brand Loyalty | Loyal, switchers, uncommitted | Retention vs acquisition strategies |
| Benefits Sought | Quality, price, convenience, status | Product positioning |
Segment: Multiple behavioural segments identified through purchase data
Strategy: Clubcard launched 1995, revolutionised UK retailing by tracking every purchase.
Behavioural Insights:
Results: Enabled Tesco to dominate UK grocery (30%+ share) for two decades through precise behavioural targeting.
| Factor | Considerations | Key Questions |
|---|---|---|
| Segment Size & Growth | Current size, Growth rate | Is segment large/growing enough? |
| Profitability | Customer lifetime value, margins | Can we achieve adequate margins? |
| Competition | Number of competitors, intensity | How saturated is this segment? |
| Company Resources | Financial, production capacity | Do we have resources to serve effectively? |
| Strategic Fit | Brand alignment, capabilities | Does segment align with our strengths? |
| Accessibility | Distribution, communication channels | Can we reach these customers? |
Target Decision (2004): Premium spirit drinkers wanting quality mixers
Market Context: Mixer market dominated by Schweppes and own-brands competing on price. Identified underserved segment: consumers buying premium spirits (£25+) but mixing with cheap tonics.
Selection Rationale:
Results: Grew to control 50%+ of UK premium mixer market, revenues £250m+. Created entirely new category.
Focusing on small, specialised segments with unique needs.
Niche: Urban commuters needing compact folding bicycles
Advantages Realised:
Results: Dominates folding bike niche globally, £40m+ revenues, 300+ employees. Sustainable, profitable by staying focused.
Targeting largest possible audience with broadly appealing products.
Mass Market: Chocolate for all UK consumers
Advantages Realised:
Results: ~35% UK chocolate market share, £500m+ annual sales. Mass market scale essential for profitability.
Once target market selected, adapt the 4Ps (Product, Price, Place, Promotion) to match segment needs.
| Target Market | Product Adaptation | UK Example |
|---|---|---|
| Affluent consumers | Premium materials, exclusive features | Waitrose Duchy Organic, Burberry |
| Price-sensitive | Essential features, basic packaging | Aldi Essentials, Lidl basics |
| Health-conscious | Organic, low sugar/fat, clear labels | M&S Balanced For You |
| Time-poor professionals | Convenience, pre-prepared, time-saving | Tesco meal kits, Nespresso pods |
| Target Market | Pricing Strategy | UK Example |
|---|---|---|
| Premium segment | Premium/prestige pricing | Fortnum & Mason, Aston Martin |
| Value segment | Competitive pricing, value packs | Asda Low Prices, B&M Bargains |
| Students | Student discounts, subscriptions | Spotify student rates, railcards |
| Families | Multi-buy offers, family packs | Tesco Clubcard deals, Pizza Hut |
| Target Market | Promotional Strategy | UK Example |
|---|---|---|
| Young adults (18-35) | Social media, influencers, TikTok | Gymshark Instagram, Boohoo |
| Older consumers (50+) | TV, print media, direct mail | Saga magazine ads, cruise lines |
| Business professionals | LinkedIn, trade publications | Microsoft LinkedIn presence |
| Environmentally conscious | Sustainability messaging, transparency | Patagonia activism, Co-op |
Scenario: StyleHub sells 5,000 jackets at £60. If price reduces to £54 (-10%), sales increase to 6,000 (+20%).
Tasks: (a) Calculate PED (b) Is demand elastic/inelastic? (c) Calculate revenues (d) Should they reduce price?
Scenario: PoshNosh sells 50,000 meals monthly. Incomes rise from £45,000 to £49,500 (+10%). Sales increase to 62,500.
Tasks: (a) Calculate YED (b) What type of good? (c) If recession causes -8% income fall, predict sales