p2 advanced management accounting - global edulink...3. pricing for maximum profitability profit...
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P2 Advanced Management Accounting
Module: 09
Pricing Strategies
1. Pricing
Think about the products you buy and how much they cost, if they cost more
would you still buy them? If they cost less would you think the quality wasn't
there? Now think about how a business would set its price, too high and no
one would buy it, too low and people may think it is not good quality or they
may not cover their costs well enough.
Deciding on the right price is a key decision any business needs to take. As
already covered elsewhere, it is crucial that the price covers all costs, and
knowing the marginal cost, full cost and relevant costs of a product or project
are key to ensure costs are covered and a profit made.
In the 2000s Pets.com did exactly that! In an effort to boost struggling sales
the company sold products for less than it cost to produce them. Sales did
not pick up quickly enough and the company went so long without profit that
even a multi-million-dollar investment from Amazon couldn't save them.
In addition to costs, there are a whole range of other issues when
finalising the price of a product that must also be taken into account. To
name a few, the price elasticity (how much demand will fall if we raise
prices), competitor prices, the image projected by a particular price,
marketing strategies (such as charging a low price to penetrate a new
market) as others too. It is these that are the key focus of this chapter.
Remember it is a combination of all these factors that will end up
determining the final price charged, and no one alone.
2. Price elasticity
Price elasticity of demand
Bob is running a doughnut stand at his local market. He charges $1 for each
of these and typically sells 200 a day. So – what’s going to happen to his
sales if he puts his prices up to, say $2?
Sales will drop of course, and if he doubles his price, probably by quite a lot.
The key question that Bob needs to know though is by how much will they
drop and what will the impact on his profitability be? After all, he’s also
making a lot more profit per doughnut, so it’s still quite possible that although
sales will drop that he high might actually increase his profits.
The extent of falling of demand when prices are increased (or increasing
demand when prices reduce) is known as the price elasticity of a
product.
Price elasticity is calculated using the following equation:
The price elasticity of a product can be either ‘elastic’ or ‘inelastic’;
An elastic product is one where the change in either demand or price
can have a significant effect on the other. If Bob increases his price from
$1 to $1.10 and as a result loses half his sales – then this is a very elastic
product. Perhaps he’s right next to another doughnut selling who sells very similar
doughnuts at $1 – well this situation is highly likely. A few loyal customers will
stay, but most will go next door.
An elastic product will usually have a PE % greater than 1 meaning that
a change in price will cause a disproportionately large change in
demand. This is often the case for luxury items that people can do without,
like wine or fancy biscuits.
An inelastic product is the opposite, with a PE % of less than 1. This
means that price will have little to no effect on demand. If putting his
price up to $2 resulted in Bob only losing 5% of sales, then his product would
be inelastic. Perhaps he’s the only seller of any kind of snack in the market, so
if the customer gets a little peckish and Bob’s their only choice, they will buy
from him anyway.
Inelastic products are often associated with essential daily items, such as milk
and bread or products which people find it hard to replace such as petrol.
Factors
Tap water. How much does it cost? Do you even think about it? Most of us
probably don't but just turn on the tap for a drink, wash, shower knowing that
whatever the current price is we'll just pay it! So, here we have a relatively
price inelastic product. I'm sure if price got too high we'd maybe seek out
alternatives, drink milk or maybe even bathe in it, but the rise would no
doubt have to be quite high before any significant effect on demand was
seen. Why is this? Well, there's a factor influencing the price elasticity of
demand going on here…
Looking at these in more detail:
Percentage of income spent on the good/service
If spending on the company’s good or service only represents a small
percentage of a consumer’s income, demand for such goods is likely to be
inelastic, e.g. salt and rice. If spending represents a high percentage of
consumer’s income, demand for such goods is likely to be elastic, e.g. cars
and holidays.
The availability of substitutes
OK what if Heinz decided to put the price of their tomato soup up by 50p.
They would probably see a significant fall in demand as consumers would
turn to other brands. Therefore as the number of substitutes for a
product or service increase, the price elasticity is likely to rise. If the
number of substitutes is low or the company has a monopoly of the market,
the price elasticity of that good is likely to be inelastic.
An example would be tap water, tap water generally comes from one
company and there is no substitute. You cannot wash your clothes or shower
in anything other than water!
Product status
Goods can be classified as necessities or luxury items. Demand for
necessities is likely to be relatively inelastic as consumers need the good
regardless of the price, e.g. medicine. Demand for luxuries is likely to be
relatively elastic as a large part of the demand is made of of “want” rather
than “need!” e.g. sports cars and holidays.
Time since price changed
If the price of the good has only just increased, consumers may be
unaware of the increase or cheaper alternatives. Therefore, the demand
is likely to be relatively inelastic (depending on the other factors) in the
short term. The more time that passes, the more likely consumers are to
realise the price increase and act on it by switching to a substitute good.
Therefore, demand will become more elastic as time passes since the price
change.
Brand loyalty
If consumers are very loyal to a particular brand, price increases are
likely to have a relatively low influence on demand. Therefore, demand is
likely to be relatively price inelastic, e.g. Apple's products, designer clothing.
If consumers do not have much or any brand loyalty for a particular product,
price increases are likely to have more of an effect on demand. Therefore,
demand is likely to be relatively price elastic, e.g. some food items although,
I'm sure we can all name some products which just have to be a certain
brand!
Competitor pricing
Competitors can match or exceed price changes or keep prices stable. If
competitors do not increase prices in light of a competitor increasing theirs,
the company raising its prices is likely to encounter elastic demand for its
goods at the higher price. A competitor may choose to match a price
reduction, which is likely to lead to relatively inelastic demand at the lower
price.
Habit
Some goods are habit-forming, such as tobacco and gambling products. These goods fall into a similar category as necessities as consumers
can become dependent on a product. Demand for habit-forming goods is
likely to be inelastic.
Summary
As you can see there are a lot of factors which influence the price elasticity of
demand. It is important for any company to understand the nature of their
product and which of these factors has a significant impact on their pricing. They may even test out the market at different prices in order to work out
the change in demand and help set a price which maximises profits.
Demand function graph
A demand function graph shows the relationship between price and sales.
it will often be downwards sloping (as more units are sold as the price falls)
and the extent of the slope (the gradient) will depend on the elasticity of the
product. With the price along the Y axis and the demand along the X it looks
like this:
The price for a particular level of demand (units sold) can be calculated using
the following formula:
P = A - BX
P = Price
X = Demand (number of units that will sell at that price)
The price for a particular level of demand (units sold) can be calculated using
the following formula:
P = A - BX
P = Price
X = Demand (number of units that will sell at that price)
A = Maximum price (i.e. the lowest price you could charge and not sell any
units. This is where the demand line cuts the price axis).
B = Line gradient = Change in price
Change in quantity
So for instance if the maximum price was £100, and B = 0.5 and we wanted to
know what price to charge to sell 50 units, perhaps because that was the most
we could make, we would use:
P = 100 – 50×0.5 = £75
135
3. Pricing for maximum profitability
Profit maximisation
So returning to our previous example, Bob’s challenge is to understand exactly what price he should be selling his product for. However, wouldn't it
be good if he could work out the absolute perfect price to sell at to
maximise his profits? After all it’s no good him getting an enormous margin
on his doughnuts if he barely sells any – nor is there any value in selling
millions if he is not making money from them!
This section outlines the approach to calculating that ‘maximum profit’ point.
To start with, we need to understand two key terms, marginal revenue and
marginal costs.
Marginal revenue = calculates how much sales revenue will go up/down
from selling one more unit.
Let’s say Bob’s friend at the market, Chris sells coats, and typically each
month he sells 100 coats at $100 each. His total revenue is $10,000.
However, in order to sell one more coat, he has to reduce his prices to
$99.50. His revenue now is 101 coats x $99.50 = $10,050. The increase in
revenue is $50 – that is Chris’ marginal revenue.
Marginal cost = the increase to total costs of buying/making one more
unit.
So, Chris pays $45 each for the coats he buys. His total cost for 100 coats is
therefore $4,500, and 101 is $4,545, and so his marginal cost is $45.
So now we can ask the question – is it worth Chris putting his price down to
$99.50? Well yes – he has an increase in revenue (marginal revenue = $50)
greater than his increase in costs (marginal costs = $45). He’s $5 up!
Let’s see if it’s worth him selling 102 coats! To sell 102 he needs to reduce his
prices a little more to $98.75. So now marginal revenue = 102 x $98.75
($10,073) - $10,050 = $23 while marginal cost stays at $45 again. So that
102nd coat is not worth buying.
Chris should therefore sell 101 coats to maximise his profits.
So – notice what we were doing here. We were increasing sales by one unit and then comparing marginal revenue and marginal cost. MR was higher
than MC for a while and then reached (and in this case went beyond) the
point where MR = MC at which point it wasn’t worthwhile increasing
sales.
As a general rule then you must learn that:
The optimum price is reached when we get to the point where marginal
cost and marginal revenue is equal (MR = MC).
There are two primary methods for applying the MR = MC rule for profit
maximisation. Let’s look at each.
Method 1: Algebraic method
We’ll use an example to demonstrate this method.
Example
Company Z sells its product at £20 and sells 20,000 units, recent market
research has shown that a £1 change to the price changes the amount of
units sold by 1,800. The product has variable costs of £7 per unit, the
marginal revenue of the product in this case is MR = A – 2BX where:
X = Demand (at a particular price)
A = Maximum price (the lowest price at which no units are sold)
B = Line gradient =
Change in price
Change in quantity
Company Z has asked for your help to:
1) Calculate the demand function
2) Find the output level that will maximise profit
3) Calculate the optimum price to maximise profit
Question 1
First up we need to use the demand function we saw earlier, which we know is
P = A – BX. We have the price (P) and the demand (X) but we still need to
work out A and B;
B = Line gradient =
Change in price
Change in quantity
From the question, if Z changes the price by £1 the change in units sold is
1,800, so:
1 B =
1,800
B = 0.00055
We can now re-arrange the formula to work out A: P
= A – BX
Company Z sells its product at £20 and sells 20,000 units so:
20 = A – (0.00055 x 20,000)
20 = A – 11
A = 31
So the correct demand function for the above information is:
P = 31 – 0.00055X
Question 2
Now, we know that the optimum profit is calculated at the point that marginal
revenue and marginal cost are the same: MR = MC
We also know that the marginal costs are £7 and that the marginal revenue
formula is MR = A – 2BX.
As MR = MC at the point of profit maximisation, we can re-write this formula
to give us: MC = A - 2BX. Then we substitute in the numbers we know.
7 = 31 – 2×0.0005X
24 = 0.001X
X = 24,000 units
So the demand level where Z will get maximum profit is 24,000 units.
Question 3
To work out the optimum price we use the demand function formula: P = A –
BX
We know the maximum price A is £31 and the gradient B is 0.00055 and the
optimum level of production is 24,000 units. We put these figures into the demand
function and that will give us the price:
P = 31 – (0.00055 × 24,000)
P = 31 – 13.2
P = £17.80
As you can see the optimum price is actually lower than the current price of
£20 and so Company Z will actually need to take £2.20 off of their selling price
in order to maximise profits.
Tabular method of profit maximisation
Alternatively the tabular method can be employed this involves a bit of trial and error. You have to work out the revenue and profit at a variety of
output levels until you find the one where profit is maximised.
Example
The following table shows a tabular function, as you can see the units are
increasing in a perfectly linear fashion increasing by 10 every time, the total
cost is increasing but by less each time (probably due to economies of scale
such as bulk purchasing), and sales prices are decreasing by £2 for every ten
additional units:
Output Cost total Selling price per unit Revenue total Profit
10 15 20
20 25 18
30 40 16
40 60 14
50 85 12
60 115 10
70 150 8
80 190 6
90 235 4
100 285 2
Now we have our base units we can calculate the missing figures which
should reveal the optimum production level:
Output Cost total Selling price per unit Revenue total Profit
10 15 20 200 185
20 25 18 360 235
30 40 16 480 440
40 60 14 560 500
50 85 12 600 515
60 115 10 600 485
70 150 8 560 410
80 190 6 480 290
90 235 4 260 25
100 285 2 200 (85)
As you can see, profit is at its highest when 50 units are produced; this is
the optimum production volume.
4. Maximum revenue
Let's return to the example Chris our coat-seller from the previous section.
Perhaps, rather than maximising profits, Chris is interested in maximising his
revenues in the short term to build a loyal following of customers. In this case
profit maximisation is not suitable and a different approach must be used. We
calculated earlier that Chris should stop at 101 units to maximise profits, but
also noted that when he makes 102 units his marginal revenue was positive
at $23. i.e. he is making £23 more revenue selling 102 units than selling 101
units.
To maximise revenues Chris should continue selling more products until
the point where marginal revenue is equal to or falls below zero (MR=0).
Let’s say that to sell 103 coats Chris has to reduce his prices to $97.50. His
revenues are then 103 x $97.50= $10,043. So total revenue is down on 102
coats which was $10,073, so his marginal revenue is -$30. To maximise
revenues then he should make 102 coats (where the marginal revenue was
still positive).
Example
Here’s the same example that we had in the algebraic method for profit
maximisation. We'll now apply it to revenue maximisation.
Company Z sells its product at £20 and sells 20,000 units, recent market
research has shown that a £1 change to the price changes the amount of
units sold by 1,800. The product has variable costs of £7 per unit, the
marginal revenue of the product in this case is MR = A – 2BX where:
X = Demand (at a particular price)
A = Maximum price (the lowest price at which no units are sold) = £31
B = Line gradient = Change in price
Change in quantity
This time the requirement is slightly different though as Company Z has asked
for your help to calculate the price that maximises revenue.
Solution
To maximise revenue the company’s marginal revenue must be equal to
zero. We know the formula for MR in this instance is MR = A – 2BX which we
can write as 0 = A – 2BX, we can then substitute the A and B values into the
equation! From the earlier calculation for profit maximisation we have
already worked out that A = £31 and B = 0.0005. Let’s substitute those in
here:
0 = 31 – 2×0.0005X
We can rearrange to get:
X = 31,000 units
We can then use this and the demand function to work out the price which
maximises revenue.
P = A – BX
P = 31 – (0.00055 × 31,000)
P = 31 – 17.05
P = £13.95
5. Product life cycle
What is the product life cycle?
Just as humans might go through different stages in their life (babies,
children, teenagers, single, married, old and then ghosts), as products are
developed, taken to market and sold, they are seen to go through discreet
stages too. Different strategies are appropriate in each of these stages.
After a period of development a product is introduced into the market. If
the product meets customer needs, consumers recognise this, new
customers are gained and revenues grow.
Eventually the market reaches saturation and the product becomes
mature and revenues level off. After a period of time the product is
overtaken by development and the introduction of superior products, so the
sales of this product go into decline and it is eventually withdrawn.
Pricing strategies for different stages of the product life cycle
At each stage of the product life-cycle different pricing strategies are
typically recommended. Let's review each stage and see how companies
should typically price at each stage.
Development
The time between development and launching the product should be as
short as possible so it can establish its place in the market. Competitors will
attempt to launch their own products if it the market appears to be growing,
so it is essential to be able to launch quickly without wasting time. There are no pricing strategies here as it is yet to launch.
Introduction – Price skimming
In the introduction stage significant costs are incurred in continued product
development and marketing, and sales volumes are often low. As such a price skimming strategy is often followed, where a high price is
charged to attract the early adopters who often purchase new products
or people who have a highly specific need that they are willing to pay more
for.
Growth – Market penetration
As the product’s sales rise, competitors are attracted into the market with
similar offerings. As a result the typical strategy followed here is market
penetration, where prices are lowered and marketing increased. The aim
is to win market share and become one of the leading players in the market.
Often at the end of the growth stage there is the ‘shake out’. This is
where the least successful entrants pull out of the market due to a lack of
profitability or are purchased by the larger competitors in their aim to
increase their market share. A market penetration policy throughout the
growth stage helps to avoid the organisation being one of the losers during
the shake out.
Maturity – Consolidation strategy
With fewer competitors in the market after the shake out, the remaining
competitors must continue to consolidate their position. They may do this
through differentiated products so they occupy a unique position in the
market, develop strong brands that are well known and trusted and continue
to attract customers. Prices are set at levels which are competitive but
profitable. The lower production costs at this stage, due to the economies of
scale caused by high volumes, ensure the firm remains profitable in this
stage.
Decline – Niche, Harvest or Divest
As sales start to decline a range of possible strategies are possible:
Divest – Pull out of the market if it is not profitable, or sell out to someone willing
to continue the business at lower margins. No pricing strategy here.
Harvest – Keep costs low, and continue to sell at a low, but profitable
price, making profits for as long as sales continue.
Niche – Develop the product for a specific market segment who continue to
have a need and sell at a higher price.
Limitations of the product life cycle
In reality very few products follow a predictable cycle. The length of each
stage varies enormously and stages can be affected by decisions made, so
for example the maturity phase can be lengthened by price-cutting.
In some cases product stages can be skipped. Many products fail in the
introduction phase (e.g. mini disc players) so do not complete the full cycle,
while others (e.g. bread) may have very long maturity phases and never go
into decline. Where there is a known immediate demand (e.g. iPad) the
introduction stage is almost completely missed, and the product goes
straight into the growth phase.
Maximising profits over a product’s life cycle
There are many ways to maximise the profit over the course of the product
life; here are a few key examples:
Considering costs during the design phase – The average product can
incur over 80% of its costs at the design and introduction stage, whether it
be initial costs or decisions made at that stage that commit production to those
costs from then on.
For example, a car being designed to be made in an old factory that is much
less efficient than a newer one, thus committing to larger production costs
from there on in. The costs of a new factory may be high, but are they
outweighed in the long term by ongoing cheaper production costs?
Planning on using higher quality components in a car in the development
stage may help reduce warranty claims longer term.
Reducing time to market – Getting a product to market is of vital
importance. Competitors will always look at what a company is doing and
will try to copy any innovation and so a quick release is vital in establishing
market share and if no market share is generated then the product will die out.
A McKinsey study actually showed that a late release is far more damaging
to a products profitability than going over budget in the development stage.
Extend the length of the cycle itself – Extending the length of a product’s
life is about increasing the amount of time it spends in the market as the
longer it is the longer it can generate revenue. The cost of a redesign will
be relatively low compared to a full new product design, and as such it is it is
the more profitable strategy for the business long term, taking into account
the full life cycle costs than a product new product design and launch.
For the car manufacturer, once sales growth has tailed off, the car
manufacturer may be able to extend the product’s life and potentially
increase revenues by resigning the body work or adding a few additional
features.
In the UK in 2012 EDF announced it would spend around £600m a year to
keep open two of its nuclear power stations for a further 7 years. Despite
these significant ongoing costs the upgrade and maintenance maximises the
use of these assets and makes sense given their huge building and
decommissioning costs.
6. Life-cycle costing
Costs through the life-cycle
Let's examine how costs change as products go through their life-cycle:
Stage Sales Volume Costs e.g. car manufacturing
Development
None
Research and Development e.g. salaries of
the design staff, prototype manufacturing
costs
Introduction
Very low levels
High fixed costs e.g. buying machinery to
build the cars (non current assets), some
factory overheads, some labour costs
Growth
Rapid increase
More variable costs as production levels
increase e.g. more direct labour costs,
indirect labour costs, increase in fixed
costs as new factories are built
Maturity High and stable Stable costs – no significant change.
Decline
Falling demand
Decreasing variable costs and possible
fixed costs due to decommissioning of the
factories
In life cycle costing, the forecast profitability is determined for the
lifetime of a product. By taking into account all of the costs involved in each
stage of the life cycle, accurate resource allocation can be put into place.
The majority of a products costs often happen at the development stage and
any plans put in place (e.g. to use a particular component or technique in
production) will have knock on effects on the future stages. Therefore life
cycle costing requires teams to communicate effectively across the
various departments who will be involved.
Life-cycle costing may also highlight hidden costs. So for example the costs of
decommissioning a nuclear power station, which may be ignored in the
development stage, but which are actually be so expensive that it makes the
whole project not viable.
Decision making and pricing
The full life cycle costs of a product can be taken into account in the
pricing decision rather than simply the costs for the current period. If the
sales of the product are less than all of the costs involved in a products life
time, then then amendments would need to be made to the original plan until
the product shows profitability.
In the case of the nuclear power station, the prices agreed in the original
contract (often agreed with governments prior to the building of the power
station) would need to be high enough to cover the decommissioning costs
even though they are many years in the future.
Calculating profitability using life-cycle costing
Supercarz Ltd recently spent £10m on the development of a new electric
vehicle called the Wizz. It is expected to have a life-cycle of 5 years and sell a
total of 24,700 units. Using the following information, we can calculate the
total expected profitability and full life-cycle cost for the product.
Sales volume
Development Intro Growth Maturity Decline Total
(units)
Sales price
(£ per unit)
0 2,000
50,000
4,500
45,000
15,000
40,000
5,000
35,000
26,500
Revenue
£m £m
100
£m
202.5
£m
600
£m
175
£m
1,077.5
Variable cost (10) (20) (70) (25) (125)
Overheads (95) (120) (200) (50) (465)
Development cost (100) 0 0 0 0 (100)
Profit/(Loss) (100) 5 62.5 330 100 387.5
So we can see that over the full life-cycle, the Wizz should is expected to
make a profit of £387.5m. We can calculate the life-cycle cost of the product
with the following formula:
Total costs of product over entire life cycle Lifecycle cost of product =
Total number of units of product
Therefore, the lifecycle cost of 1 Wizz is:
125m + 465m + 100m
Lifecycle cost of 1 Wizz = 26,500
= £26,037.73 per unit
Customer life cycle
Life cycle analysis can also be used to assess the profitability of a customer or
a customer group. This may involve large costs upfront to get a new
customer but once a customer is on board they are more likely to stay with the
company longer term and the company’s profitability will grow. This follows the old saying that it is ‘twenty times more expensive to get a new
customer than keep an old one’.
An example of this would be in a restaurant - it may take a lot of marketing
before a customer tries out the restaurant, but once they have (and if they like
it) they will come back again and again without being prompted to. A
‘customer’s life cycle’ could effectively be increased by continually
ensuring customers’ needs are met – through continually updating the
restaurant and its menu for example.
This is particularly relevant for large contracts – a 5 year IT outsourcing
contract for example. The tendering and set up costs are likely to be very
high in the short term, but the revenues and costs must be viewed over the
whole 5 year project to assess full profitability. If that contract can then be
extended after that point, the contract then becomes even more profitable as
the tendering and set up costs incurred right at the start are being spread over
a longer period.
7. Pricing strategies
There are a range of other pricing strategies which we must also consider,
often for marketing or strategic purposes. These can include:
Premium pricing
This is the use of a high price where the product is unique and a
substantial competitive advantage exists (e.g. the high price of a BMW).
Premium pricing can also effect the perception of s product/brand in the
eyes of the consumer; the high price of the BMW suggests “quality” and
being “prestigious”.
Market skimming
Market skimming often occurs when a product is new and very
innovative with a certain market who will buy the product regardless of
the price you put on it. An example of this would be the latest television
technology (e.g. super high definition TVs).
A vast majority of people would not be interested enough in the new
technology to pay the high price BUT the real “tech heads” will still be willing
to pay it. Therefore you ‘skim’ for the “cream off the top of the milk” to
take advantage of these consumers. Once the cream market has dried up
you then reduce the prices to make the product accessible to the rest of the market. Often market skimming is undertaken at the introduction stage of
the product life-cycle.
Market skimming is also a strategy for products that are never going to be reduced in price and are aimed at a very niche market. An example of this
would be cat walk high fashion; clothes that no one but the rich and/or
famous would ever be able to buy, greatly reducing the market but a huge
profit is made on every item sold to compensate.
Premium pricing (above) is similar to market skimming. The key difference is
that premium pricing whilst costly will often be aimed at a broad market
whereas market skimming will be aimed at a very niche one. For example,
take a Ferrari and a BMW, both are high quality and renowned cars, but a
BMW is marketed to the general market and a Ferrari only to the super rich.
Penetration pricing
A low price is set in order to gain market share. Once this is achieved,
the price is increased. This is often implemented when a relatively new
product is released (often the growth stage of the product life-cycle) to tempt
people to take a chance on the product and the brand, then once they have
realised how good the product is they will stay with that brand in the future.
Economy pricing
Charging a low price for a no frills service. Such as UK airline service
ryaniar; they offer a very cheap price but offer none of the comforts of more
expensive airlines. Volume of sales is key, making only a small profit on each
sale.
Cost Plus pricing
Price at the cost plus a percentage mark-up. This ensures that costs are
covered on all products sold and so they are sold profitably. If the product
costs £10 and the pricing strategy is cost + 20%, the price is £12.
Psychological pricing
Taking into account the way the customer thinks as they purchase.
e.g. charging £99 rather than £100 makes the price seem substantially
cheaper when the reality is that it is only £1 less!
Product line pricing
A range of products or services where the price reflects the benefits
gained (e.g. Club membership - 5-day, 7 day, daytime, weekends). The
greater the benefit, the higher the price – here 7 days being the most
expensive of these options.
Optional product pricing
Optional extras sold alongside the main product to increase revenues and
profitability. (e.g. cars with optional upgrades to a better music system or a faster
engine).
Captive product pricing
Where a captive market exists once an initial purchase is made (e.g.
computer games after computer games consoles have been purchased).
Often the aim is to sell the basic product (e.g. the console) at a low price in
order to profit longer term (e.g. from the sales of the games).
Product bundle pricing
Combining a number of products in the same package. Returning to the
above example, a games console may be sold in a package deal with an
extra controller and a few games.
This can then be marketed in relation to the money saved compared with
buying each item separately. Consumers then feel that they are saving
money even though many may not have even bought one of the
games/controllers if they had to buy them separately.
Promotional pricing
Pricing to promote a product. e.g. Low price to introduce new customers,
reverting to a higher price longer term. This is often use for interest rates on
loans, mortgages and credit cards.
Dual pricing
Different prices for the same product to different markets
One example could be different prices in different countries. There must
always be a barrier between the markets stopping the purchaser simply
buying from the lower cost location. In this example; costs and time to go to
different locations or additional shipping costs or import taxes.
Another example is peak and off-peak train fares. It’s exactly the same
product, but a significantly different price based on the time of the day. The
barrier is for people going to work who are forced to travel at the peak time.
Predatory pricing
When a company deliberately charges a price so low that it knows
competitors will not be able to match/beat without suffering a loss. The
aim is to drive competitors out of business, with the aim of raising prices
higher again after the competitive battle is won.
Loss leader
A loss leader is a product sold so cheaply they lose money on the
product. This may sound like a poor strategy but is often used to establish a
market share which can then be leveraged against other products the
company produces or to ultimately benefit from complimentary purchases
induced by the loss leader. For example, games consoles are often sold at a
low price as producers then make money via the sales of games. Google
provide their android operating system for free, but make money via the sale
of apps.
Product differentiation
Varieties of the same product so that it can be sold to a much larger
market, an example of this may be a teddy bear. You have the base bear
but then simply put different clothes/colours on it and suddenly you have more
markets in which to sell it; blue for baby boys, pink for baby girls, corporate
clothing for businesses etc.