Decision-Making to Improve Marketing Performance Flashcards
(79 cards)
Internal Influences on Marketing Objectives
Corporate objectives
As with all the functional areas, corporate objectives are the most important internal influence. A marketing objective should not conflict with a corporate objective
Finance
The financial position of the business (profitability, cash flow, liquidity) directly affects the scope and scale or marketing activities.
Human resources
For a services business in particular, the quality and capacity of the workforce is a key factor in affecting marketing objectives. A motivated and well-trained workforce can deliver market-leading customer service and productivity to create a competitive marketing advantage
Operational issues
Operations has a key role to play in enabling the business to compete on cost (efficiency / productivity) and quality. Effective capacity management also plays a part in determining whether a business can achieve its revenue objectives
Business culture
E.g. a marketing-orientated business is constantly looking for ways to meet customer needs. A production-orientated culture may result in management setting unrealistic or irrelevant marketing objectives.
External influences on marketing objectives:
Economic environment
The key factor in determining demand. E.g. many marketing objectives have been thwarted or changed as a result of the recession. Factors such as exchange rates would also impact objectives concerned with international marketing.
Competitor actions
Marketing objectives have to take account of likely / possible competitor response. E.g. an objective of increasing market share by definition means that competitor response will not be effective
Market dynamics
The key market dynamics are market size, growth and segmentation. Changes in any of these undoubtedly influence marketing objectives. A market whose growth slows is less likely to support an objective of significant revenue growth or new product development
Technological change
Consumer and other markets are now affected by rapid technological change, shortening product life cycles and creating great opportunities for innovation. These have to be taken into account when setting marketing objectives.
Social & political change
Changes to legislation may create or prevent marketing opportunities. Change in the structure and attitudes of society also have major implications for many markets.
Why do businesses need accurate and up-to-date information
Changes in technology – enabling new products and new production processes (e.g. the growth of digital study products like this toolkit which are reducing demand for printed textbooks)
Changes in consumer tastes – meaning that the demand for some products will decline, whilst others will grow more popular (e.g. increased demand for activity-related holidays at the expense of mass-market beach holidays)
Changes in the product ranges of competitors – the introduction of new rival products, or changes in pricing policies can greatly influence the demand for a product (e.g. the introduction of the Microsoft X-Box – which has challenged Sony’s PlayStation 2)
Changes in economic conditions – an improvement or worsening of the economic climate will have an impact on incomes on a national or regional level. Different products may be affected differently e.g. luxuries v necessities etc
What is the purposes of marketing research
Gain a more detailed understanding of consumers’ needs – marketing research can help firms to discover consumers’ opinions on a huge range of issues, e.g., views on products’ prices, packaging, recent advertising campaigns
Reduce the risk of product/business failure – there is no guarantee that any new idea will be a commercial success, but accurate and up-to-date information on the market can help a business make informed decisions, hopefully leading to products that consumers want in sufficient numbers to achieve commercial success.
Forecast future trends – marketing research can not only provide information regarding the current state of the market but it can also be used to anticipate future customer needs. Firms can then make the necessary adjustments to their product portfolios and levels of output in order to remain successful.
Examples of primary research methods
Focus groups
Interviews (online & in-person)
Surveys & questionnaires
Mystery shoppers
Product testing and product trial
What is primary research
research data that is collected first-hand for a specific research purpose.
Advantages and drawbacks of primary market research
Advantages
Directly focused on research objectives = fit for purpose
Tends to be more up-to-date than secondary research
Provides more detailed insights – particularly into customer views
Drawbacks
Time-consuming and often costly to obtain
Risk of survey bias – research samples may not be representative of the population
Secondary?
uses data that already exists and has been collected by someone else for another purpose.
What are internal sources of secondary data?
own records that represent a potential source of valuable data. For instance, records of past advertising campaigns within the marketing department can be compared with copies of invoices held in the sales department in order to judge their effectiveness and get ideas for future campaigns. Past sales figures can also be used to spot trends and forecast future figures.
The increasing availability and use of loyalty cards and big data has given businesses the chance to gather a wide range of valuable information on customer buying habits, allowing them to target promotional campaigns more effectively.
Internal sources of data should always be considered as a first line of enquiry for any investigation because they are usually the quickest, cheapest and most convenient source of information available. Internal data will also be exclusive to the organisation that generated it, so that rival firms will not have access to it.
However, internal data may be incomplete or out of date, and, if a project is new, there may be no relevant data at all. In such cases, an organisation may need to consider using external sources of secondary data
What are external sources of secondary data?
There are several sources of existing data available from outside of the business that may be of value. These include:
Commercial market research organisations – including MINTEL, Keynote and Euromonitor
The Government – the much wider availability of open data from the government has significantly increased the availability of such data
Competitors – company reports and websites are easily accessible and contain a limited amount of information
Trade Publication
The general media
Sample design covers:
Method of selection
Sample structure
Plans for analysing and interpreting the results.
More on sample designs:
can vary from simple to complex. They depend on the type of information required and the way the sample is selected.
Sample design affects the size of the sample and the way in which analysis is carried out; in simple terms the more precision the market researcher requires, the more complex the design and larger the sample size will be.
The sample design may make use of the characteristics of the overall market population, but it does not have to be proportionally representative. It may be necessary to draw a larger sample than would be expected from some parts of the population: for example, to select more from a minority grouping to ensure that sufficient data is obtained for analysis on such groups.
Many sample designs are built around the concept of random selection. This permits justifiable inference from the sample to the population, at quantified levels of precision. Random selection also helps guard against sample bias in a way that selecting by judgement or convenience cannot.
Defining the Population
The first step in good sample design is to ensure that the specification of the target population is as clear and complete as possible. This is to ensure that all elements within the population are represented.
The target population is sampled using a sampling frame.
Often, the units in the population can be identified by existing information such as pay-rolls, company lists, government registers etc.
A sampling frame could also be geographical. For example, postcodes have become a well-used means of selecting a sample.
Sample size
For any sample design, deciding upon the appropriate sample size will depend on several key factors:
No estimate taken from a sample is expected to be exact: assumptions about the overall population based on the results of a sample will have an attached margin of error
To lower the margin of error usually requires a larger sample size: the amount of variability in the population, ie the range of values or opinions, will also affect accuracy and therefore size of the sample
The confidence level is the likelihood that the results obtained from the sample lie within a required precision: the higher the confidence level, the more certain you wish to be that the results are not atypical. Statisticians often use a 95% confidence level to provide strong conclusions
Population size does not normally affect sample size: in fact the larger the population size, the lower the proportion of that population needs to be sampled to be representative. It’s only when the proposed sample size is more than 5% of the population that the population size becomes part of the formulae to calculate the sample size
Cluster sampling:
Units in the population can often be found in certain geographic groups or “clusters” for example, primary school children in Derbyshire.
A random sample of clusters is taken, then all units within the cluster are examined.
Advantages
Quick and easy
Doesn’t need complete population information
Good for face-to-face surveys
Disadvantages
Expensive if the clusters are large
Greater risk of sampling error
convenience sampling:
Uses those who are willing to volunteer and easiest to involve in the study.
Advantages
Subjects are readily available
Large amounts of information can be gathered quickly
Disadvantages
The sample is not representative of the entire population, so results can’t speak for them - inferences are limited. future data
Prone to volunteer bias
Judgement sample
A deliberate choice of a sample - the opposite of random
Advantages
Good for providing illustrative examples or case studies
Disadvantages
Very prone to bias
Samples often small
Cannot extrapolate from sample
Quota
The aim is to obtain a sample that is “representative” of the overall population.
The population is divided (“stratified”) by the most important variables such as income, age and location. The required quota sample is then drawn from each stratum.
Advantages
Quick and easy way of obtaining a sample
Disadvantages
Not random, so some risk of bias
Need to understand the population to be able to identify the basis of stratification
Random sampling:
This makes sure that every member of the population has an equal chance of selection.
Advantages
Simple to design and interpret
Can calculate both estimate of the population and sampling error
Disadvantages
Need a complete and accurate population listing
May not be practical if the sample requires lots of small visits over the country
Correlation:
Correlation is another method of sales forecasting. Correlation looks at the strength of a relationship between two variables.
Correlation measured by:
Correlation is usually measured by using a scatter diagram, on which data points are plotted. For example, a data point might measure the number of customer enquiries that are generated per week (x-axis) against the amount spent on advertising (y-axis).
correlation variables:
Independent variable (the factor that causes the other variable to change) on the x-axis
Dependent variable (the variable being influenced by the independent variable) on the y-axis
Line of best fit?
“line of best fit” (the regression line) which attempts to plot the mathematical relationship between the variables based on the data points. This can be drawn by hand or using an Excel spreadsheet or specialist marketing software.
Positive correlation
A positive relationship exists where as the independent variable increases in value, so does the dependent variable