In a previous blog,
we discussed the fact that Internet services are proving to be
unaffordable in Kenya. Today we try to understand how operators price
their services based on the bottom-up cost allocation method.
In
most business enterprises, the price of a product is pegged on the cost
of producing it. Basically, you sum up the costs of the raw material,
labour and power, among others, and mark this up by, say 10 per cent, to
arrive at your selling price.
The
same thing happens with telecommunications networks. If the environment
is completely new with no existing infrastructure, the operators simply
estimate demand for their communication service in order to establish
the size or dimension of the network required to deliver the service at a
particular level of quality. This is known as the bottom-up costing
method.
For
example, a company looking to provide Turkana County with Internet
services may estimate the county’s market potential as being 100,000
users (10 per cent of the total population as per the 2009 Census) and
then proceed to build a network that can support this many users.
Assuming
each user will need a 1Mbps (megabits per second) quality of Internet,
the operator will need to deploy a network with a core capacity of
100Gbps (Gigabits per second) or 1Mbps each for the 100,000 users.
This can be a very expensive network to build, considering that 100Gbps is the current capacity of TEAMS, a submarine cable built at a cost of $100 million.
Fortunately,
since not all users will be online at the same time, the network
operator can deploy a lower-capacity core network, of perhaps 10Gbps
instead of 100Gbps. This value is based on the assumption, for
simplicity, that only 10 per cent of the users will be online
concurrently.
Having
dimensioned the network, the operator would then work out the cost of
equipment, maintenance, operations and administering the network for a
period of 10 to15 years. With a working figure and a business plan, the
operator would then approach financial agencies and investors for money
in order to roll out the network.
Let
us assume the network for Turkana will require $10 million to deploy
and run over the next 10 years. Ignoring the time value of money, the
network will require $1 million to run and maintain each year.
Dividing
this amount over the projected 100,000 users implies that each user
should pay at least $10 per year for 1MB per second of Internet —
just for the operator to break even. However, just like a good business
enterprise with shareholder value in mind, the operator can mark this
up by 10 or even 100 per cent depending on disposable incomes, or
competitive and regulatory pressure.
But
the network is an interesting asset. It may have been costed and built
for one service, but then it can host and deliver other services at
little or no extra cost. For example, the network built for voice
communication can send millions of text messages with close to zero
incremental costs.
Yet
again, as a good business enterprise, and for the sake of the
shareholder, the operator will only charge you between Sh5 and Sh10 for
sending an SMS that costs them zero shillings to transmit.
The
same network gets even better when that text that costs close to
nothing to transmit has monetary content, otherwise known as mobile
money text. Suddenly the zero-cost text message can be charged based on
the value of money contained in its content.
Finally,
as if to turn all the economics upside down, the operator can decide to
provide free Internet access for particular websites, the idea being
that the free access will increase traffic to the website and allow the
operator to obtain revenue based on items purchased rather than the cost
of transmission.
Essentially,
the network costs and product pricing are decoupled in the new economy.
One does not necessarily depend on the other. It’s really about the
shareholder and what they feel is a fair amount of return on their
investments.
Mr Walubengo is a lecturer at the Multimedia University of Kenya's Faculty of Computing and IT. Twitter:@jwalu email: jwalubengo@mmu.ac.ke
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