3.3 Decision making to improve Marketing performance Flashcards
Marketing Objectives
The process of identifying, anticipating (predicting), and satisfying customer needs profitably
Provided the marketing objectives are relevant and achievable, there are some important business benefits from setting them and monitoring progress against them
Types of marketing objectives:
Sales volume
Sales value (revenue)
Market growth (%)
Market share (%)
Brand loyalty/awareness
External influences on marketing objectives and decisions:
Economic environment
Competitor actions
Market dynamics
Technological change
Social and political change
Internal influences on marketing objectives and decisions:
Corporate objectives
Finance
Human resources
Operational issues
Business culture
Primary Market Research
Involves the collection of first hand data that did not exist before and therefore it is original data. It fills gaps that secondary research cannot
Secondary Market Research
Research that has already been undertaken by another organisation and therefore already exists
Confidence Intervals
They measure the probability that a population parameter will fall between two set values. The confidence interval can take any number of probabilities, with the most common being 95% or 99%
Correlations
Another method of sales forecasting that looks at the strength of a relationship between two variables
Positive correlations means the two sets of data are connected in some way (e.g the closer it gets to Christmas, the more Christmas trees that are sold)
Negative correlations also means the two sets of data are related but as x increases, y decreases
Extrapolation
It is like an educated guess or a hypothesis
When you make an extrapolation, you take facts and observations about a present or known situation and use them to make a prediction about what might eventually happen
Big Data
The process of collecting and analysing large data sets from traditional and digital sources to identify trends and patterns that can be used in decision-making
Price Elasticity of Demand (PED)
Measures the responsiveness of quantity demanded for a product to a change in price
= percentage change in quantity demanded / percentage change in price
The values of PED:
If PED = 0 demand is said to be perfectly inelastic – this means that demand does not change at all when the price changes
If PED is between 0 and 1 (i.e. the percentage change in demand from A to B is smaller than the percentage change in price), then demand is inelastic
If PED = 1 (i.e. the percentage change in demand is exactly the same as the percentage change in price), then demand is said to unit elastic. A 15% rise in price would lead to a 15% contraction in demand leaving total spending by the same at each price level
If PED > 1 then demand responds more than proportionately to a change in price i.e. demand is elastic.
Income Elasticity of Demand (YED)
Measures the relationship between a change in quantity demanded for good ‘X’ and a change in real income
= percentage change in demand / percentage change in income
Most products have a positive income elasticity of demand – so as consumers’ income rises more is demanded at each price
The income elasticity of demand is usually strongly positive for:
Fine wines and spirits, high quality chocolates (e.g. Lindt) and luxury holidays overseas
Consumer durables - audio visual equipment, 3G mobile phones and designer kitchens
Sports and leisure facilities (including gym membership and sports clubs)
Income elasticity elasticity of demand is lower for:
Staple food products such as bread, vegetables and frozen foods
Mass transport (bus and rail)
Beer and takeaway pizza
Income elasticity of demand is negative (inferior) for cigarettes and urban bus services