Identify and explain the factors that influence the demand for, and the supply of, the products of a business, and relate these to marketing decisions.
A change in any of the following shifts the demand curve right (increase) or left (decrease).
| Factor | Effect on Demand | Typical Example |
|---|---|---|
| Consumer income | ↑ for normal goods, ↓ for inferior goods | Higher disposable income → more demand for smartphones (normal); lower income → more demand for instant‑noodles (inferior). |
| Prices of related goods | ↑ for substitutes, ↓ for complements | Price rise in tea → coffee demand rises; price rise in petrol → demand for cars (a complement) falls. |
| Tastes, preferences & lifestyle trends | ↑ or ↓ | Health consciousness boosts low‑fat yoghurt; a fashion trend lifts demand for chunky‑sole sneakers. |
| Population size & demographics | ↑ or ↓ | Aging population raises demand for mobility aids; a large youth cohort fuels video‑game sales. |
| Consumer expectations | ↑ if higher future price expected; ↓ if lower future price expected | Anticipating a price rise in winter coats leads to earlier purchases. |
| Government policies | ↑ or ↓ | Tax on sugary drinks reduces soft‑drink demand; subsidy for electric cars raises their demand. |
A change in any of the following shifts the supply curve right (increase) or left (decrease).
| Factor | Effect on Supply | Typical Example |
|---|---|---|
| Production costs (wages, raw‑material prices) | ↓ if costs rise, ↑ if costs fall | Higher steel prices make car production less profitable, reducing supply. |
| Technology | ↑ | Automation in a garment factory raises output at the same price. |
| Number of sellers in the market | ↑ with more firms, ↓ with fewer firms | Entry of new coffee shops adds to total market supply of coffee. |
| Expectations of future price | ↓ if a higher price is expected, ↑ if a lower price is expected | Producers hold back stock to sell later at a higher price, reducing current supply. |
| Government intervention (taxes, subsidies, regulation) | ↑ or ↓ | Production tax on cigarettes reduces supply; subsidy for solar panels increases supply. |
| Weather and natural events | ↓ (especially for agriculture, tourism, etc.) | Drought reduces wheat output, lowering supply of bread. |
| Input availability (e.g., semiconductor chips) | ↓ if key inputs become scarce, ↑ if they become abundant | Chip shortage limits smartphone production. |
In a competitive market the equilibrium price (P*) and quantity (Q*) are where the demand curve (D) meets the supply curve (S).
Typical linear forms:
Demand: Qd = a – bP
Supply: Qs = c + dP
At equilibrium Qd = Qs:
a – bP* = c + dP*
Solving gives:
P* = (a – c) / (b + d)
Q* = a – bP*
Example: If total UK smartphone sales are £5 bn and Company A sells £500 m, its market share is (500 / 5000) × 100 = 10%.
A rise in consumer income shifts the demand curve right, expanding the total market size and giving all firms the opportunity to increase their share – provided they respond effectively.
| Aspect | Mass Marketing | Niche Marketing |
|---|---|---|
| Target market | Large, heterogeneous audience | Small, well‑defined segment |
| Product strategy | Standardised product with broad appeal | Specialised product tailored to niche needs |
| Pricing | Economies of scale → lower price | Premium pricing justified by uniqueness |
| Promotion | Mass media (TV, radio, national campaigns) | Targeted media, direct marketing, specialist events |
| Examples | Coca‑Cola, Nike (mass‑market lines) | Boutique coffee roaster, high‑performance mountain bikes |
Segmentation divides a market into groups of consumers with similar needs or characteristics.
| Segmentation Base | Description | Illustrative Example |
|---|---|---|
| Geographic | Region, climate, urban/rural | Winter coats marketed heavily in northern Europe. |
| Demographic | Age, gender, income, occupation, education, family size | Student discount plans for streaming services. |
| Psychographic | Lifestyle, values, personality | Eco‑friendly clothing line targeting “green” consumers. |
| Behavioural | Usage rate, loyalty, occasion, benefits sought | Frequent flyer programmes for business travellers. |
Activity suggestion: Using a recent smartphone launch, list at least three segmentation bases and explain how the firm tailors its marketing mix for each segment.
Effective marketing decisions rely on reliable market information.
| Research Type | Key Features | Typical Use in Demand‑Supply Analysis |
|---|---|---|
| Primary research | Data collected directly (surveys, interviews, focus groups, observations) | Gauge consumer preferences, test price sensitivity (PED), assess reaction to a new product. |
| Secondary research | Existing data (government statistics, industry reports, competitor publications) | Identify market size, growth trends, input‑cost trends, regulatory changes. |
| Sampling | Choosing a representative subset of the population; probability vs. non‑probability sampling | Ensures findings can be generalised to the whole market. |
| Data reliability & validity | Accuracy, consistency, relevance of data | Reduces risk of mis‑interpreting demand shifts or cost changes. |
| Quantitative vs. qualitative analysis | Quantitative – numerical, statistical (e.g., demand forecasts). Qualitative – non‑numerical insights (e.g., attitudes, motivations). |
Quantitative data feeds demand‑supply models; qualitative data explains *why* trends occur. |
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