BUSINESS STUDIES MODULE PAPER 5

Marketing

Market analysis

Segmentation analysis: analysing a market to identify the different types of consumer. By matching the consumer categories to the types of product on offer, unfilled market niches may emerge. The potential profitability of filling these gaps can then be assessed. The main ways in which a market can be segmented are:

  • Demographically, e.g. by age , social class or sex
  • Psychographically (by attitudes and tastes) e.g. trendy versus modest, or homeloving versus adventurous
  • Geographically, by region

Market size

The total sales of all the producers within a market-place, measured either by volume (units sold) or by value (revenue generated). This information is needed to:

  • Asses whether the market is big enough to be worth entering
  • Calculate the market share held by your own products and brands
  • Identify whether the market is expanding or contracting

Market share

The percentage of all the sales within a market that are held by one brand or company. Analysing trends in the market share is important for a firm because it shows their position in relation to the market as a whole. It may not be good enough, for example, to have a 5 per cent sales increase if the market is rising by 10 per cent, as market share is being lost. The 5 per cent sales increase may boost profits this year, but if the market becomes highly price competitive as it reaches maturity, the firms products may not be strong enough to survive.

Primary and secondary research

Random sample: contacting survey respondents so that every member of the population has an equal chance of being interviewed. This is hard and expensive to achieve. The reason is that random must not be confused with casual. If all the interviewer did was stand outside a shop on a Tuesday afternoon and interviewed as many people as possible, various distortions would occur in the sample:

  • Relatively few men would be interviewed
  • Few working women would be interviewed
  • Few hardworking students would be interviewed
  • In other words, the sample would be biased towards pensioners, parents of pre-school children and the unemployed.

To avoid these pitfalls, random samples are drawn from local electoral registers, and interviewees are contacted at home. The interviewer must call three times before giving up on an address. This is to overcome the problem that busy people are the least likely to be at home. The need to visit and revisit specific address’s adds considerably to fieldwork costs. So although random sampling is common in social research, businesses tend to use quota sampling.

Quota sample: the recruitment of respondents to a market research exercise in proportion to their known demographic profile. Therefore if you know that 25 per cent of your buyers are men, you would instruct interviewers to recruit one man for every three women within the sample. This is a far cheaper method of recruitment than random sampling.

Stratified sample: a research sampling method that draws respondents from a specific subgroup of the population. For example, a large producer deciding to research only men 18-30-year-old, since this represents the heart of that market place. Within the chosen group, individuals might be chosen on a random basis, -‘stratified random sample’.

Problems of research; Reliability of primary data, market research may not produce reliable information for three reasons:

  • Human behaviour. Much market research depends on the responses of consumers. Responses of consumers may be honest and truthful at the time, it does not mean they would respond in the same way in the future. This is because human behaviour is unpredictable.
  • Sampling and bias. It is impossible to research every member of a population. Results from a sample may differ from those which would have been obtained if a whole population had been questioned. This is known as statistical bias. The greater the statistical bias that occurs when sampling, the less reliable the data is. Some samples introduce a higher degree of statistical bias than others do.
  • Other forms of bias. Questioners encouraging particular responses, the use of leading questions

Backdata is past research information that can be used to interpret new findings. For example if a survey finds that 47 per cent of beer drinkers say they would buy a new American drink, how could one translate that into a sales forecast? Only by comparing the result with backdata on the research and actual performance of past product launches.

Qualitative research is in-depth into the motivations behind consumer behaviour or attitudes. It uses techniques such as – group discussions/focus groups and depth interview.

Qualitative researchers aim to find out consumers real thought processes during relaxed discussion that has no pre-set questions.

Pros: + can reveal the motivations behind consumer decisions

         + as discussion can range freely, it can discover the unexpected (where as questionnaires can only consist of questions that were known beforehand to be significant)

         + Group discussion can provide ideas about how to solve a marketing problem from the most people of all: the consumers

Cons: + each interview or discussion is expensive, therefore few firms can afford to conduct many; this leads to possible concerns about whether the sample is representative

           + The unstructured nature of the responses means that the data cannot be quantified.

Secondary data: data which is already in existence. It is normally used for a purpose other than that for which it was allocated.

Primary data: data which does not already exist and is collected through the use of field research.

Retail audit: a form of secondary research that measures the retail sales and market share of major brands within a repensentative sample of shops. Individual producers may then decide to subscribe to this service on a weekly or monthly basis. Benefits of retail audits:

  • Provides analysis of the composition and trends of sales within different types of outlet (supermarket, chemists e.t.c.)
  • Gives producers an early warning of changes in consumer purchasing patterns that will soon feed through to demand (via changes in wholesale stock levels)

Extrapolation: in forecasting the near future it can be assumed the recent past will be a good guide. This is known as extrapolating from the past to the future. When trend values have been established, they can be plotted on a graph and extrapolation by eye or mathematical means can be undertaken.

Correlation is the measurement of how close casual link there is between two or more sets of numerical data. Highly correlated data would form a predictable pattern.

A danger with statistical correlations is making assumptions about cause and effect. Perfume advertising is at its heaviest into the weeks before Christmas. Sales follow the same pattern. But it would be foolish to suppose this proves the effectiveness of the advertising. Perfume companies advertise most at Christmas because that is when the public is most receptive to their advertising. The sales and advertising data are correlated, but not proof which factor is the effect.

Moving averages: calculation of the trend that exists within a series of data over time. It enables erratic and seasonal factors within the data to be smoothed out so that the underlying trend can be identified.

 

Standard deviation (SD): a standardised measure of the distribution of data around a mean value. Managers often refer to the term standard deviation when they mean the standard error from a sample result.

Confidence level: a measurement of the degree of confidence to be attached to a conclusion drawn from a sample finding. For example, if a pre-election opinion poll puts labour 3 per cent ahead of the cons, how confident can one be of labours victory? Market researchers only feel happy to draw conclusions from findings that have a 95 per cent chance of being right. The term given to that is a 95 per cent confidence level.

Marketing objectives

Objectives of marketing- influenced by its corporate objectives. Examples of objectives:

  • To target a new market or market segment. A business must decide which market it aims to sell its products into. It might decide a product would sell better abroad. It may also decide to target a segment of the market, i.e. sell to a certain ‘class’ of customer or a certain age group.
  • To achieve or maintain market share. A business might attempt to gain a certain market share or percentage of the market. Once a business has achieved a particular market share, it must decide how to maintain it or increase it in the face of competition.
  • To develop a range of products. A firm might aim to develop products which market research has indicated would be successful. Goals may also be set to improve how existing products could be improved or how products can be differentiated from rivals’ products.
  • To improve the image of the products. Businesses must consider the image they convey about their products. This is often determined by promotion.

The marketing objectives must also take account of constraints under which the firm operates. For example Lada cars have traditionally been sold to lower income groups. Huge sale increases are unlikely amongst higher income groups. A firm must also consider financial constraints, other constraints may include legal requirements, competition that a firm faces and economic changes that may take place.

Marketing strategy: a medium to long –term plan for meeting objectives. It should set out the balance of marketing activity between new and existing products – with carefully costed budgets. The strategy is likely to be implemented through the marketing mix – the four Ps of product, price, place and promotion. A successful marketing strategy is one that achieves the objectives without going over budget.

Marketing model: a framework for making marketing decisions in a scientific manner.

The model has five stages:

  1. Set the marketing objective: based on the company’s objectives.
  2. Gather data: this will require the collection of quantitative and qualitative data about the markets size, competitive structure, distribution pattern and consumer attitudes.
  3. Form hypotheses: theories about how best to achieve the objective.
  4. Test the hypotheses: this may be done solely through market research or, more thoroughly, by test marketing new product ideas. After the results are evaluated, a decision can be reached on how to proceed.
  5. Control and review: making decisions is only part of the marketing function; implementing them is no less important. The means of implementation will be via the marketing mix. The effectiveness of the distribution, pricing or promotion policies must be controlled, with careful conclusions drawn from the success or failure of the project.
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Scientific decision-making is the use of formal procedure to ensure that decisions are arrived at in an objective manner. It attempts to eliminate hunch or bias by ensuring that decisions are based on factual, numerical evidence.

Hunch the intuition that can lead a decision-maker to go against the obvious or statistically proven route.

Niche marketing: a corporate strategy based on identifying and filling relatively small market segments. This can enable small firms to operate profitably in markets dominated by large corporations. Pros:

  • the first company to identify a niche market can often secure a solid market position ...

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