...Web Site Promotion
COST VS. BENEFIT ISSUES
The relationship between the benefits and the costs of a particular
activity are often forgotten when dealing with promotional issues.
Increasingly with web related business, the data and the measurement
and analysis tools are there to be used.
No longer should John Wanamaker's famous quote:
I know 50% of my advertising is wasted, but I don't know which
half...
be used as an excuse for happy-go-lucky planning.
Simple arithmetic can help to define the relationship between costs
and benefits and provide a framework for rational decision making.
For example, consider a promotional activity P, which costs Pc
to implement, and delivers an extra number of visitors, V to a web
site. If the average conversion rate for changing visitors into
prospects (i.e. willing to submit contact details and receive further
information) is C1, and the conversion of these qualified prospects
to new customers who place orders is C2, then the number of new
buyers delivered by P will be:
V X C1 X C2
If each new customer generates £S of business on average, then
the break-even point (where costs are just balanced by benefits)
for any promotional activity is given by:
PC = V X C1 X C2 X £S
A sensible time scale must be chosen, depending on the nature of
the buying cycle. The equation is for a fixed period of time, but
clearly further revenues accrue over much longer periods of time,
with repeat purchases if the customer is satisfied. The equation
does not take into account the effect of personal recommendations
by happy customers, or the long term effects of brand and image
building, so the secondary benefits can be significant.
Another constant could be introduced if need be to cater for such
word of mouth or 'viral' phenomena. To take a specific example,
say a promotion costs £1,000 and produces 800 extra visitors. The
company knows from past records that about 10% of visitors to the
web site sign up for a newsletter, or supply an address for receiving
more information. Once on the database, about 15% of these prospects
may be converted into buying customers within 6 months, with an
average order value of £100. Here
Revenue = 800 X 0.10 X 0.15 X £100 = £1,200,
which is > PC
so the exercise is just about worth it (20% Return on Investment)
over a 6 month period. 
Different activities may yield different conversion rates - e.g.
visitors arriving via a search engine are likely to be more focused
than people who have clicked on a banner offering a prize. Of course,
many new businesses do not have this data immediately available,
but this at least provides a framework to make an assessment of
any new proposal (is it worth doing or not?).
Approximate conversion figures might be obtained from other companies
in similar industries, and online advertising agencies will have
at least indicative industry statistics on banner ads for example.
After a short period of promotional activity, the real figures will
begin to emerge, and these can be re-incorporated into the above
equation, with ever increasing levels of accuracy. It is better
to start with a guess, and then iteratively converge on more accurate
figures. All activities incur a cost, even if it is just someone's
time - so it is important all real costs are accounted for.
The cost / benefit equation may of course be further refined to
include variations for product or market segments, or more detailed
metrics (e.g. CPM and click-through data) available with some channels
such as online advertising.
A more graphical way of looking at the cost benefit - equation,
which also takes into account the cost of the web site and its maintenance
costs is shown in Fig. 4.3.
The original development cost of a web site may be considered a
fixed cost, but its maintenance and ongoing evolution are variable
costs which relate to the number of visitors. The number of visitors
is also proportional to the promotional costs. The sales generated
by the web site (either directly online, or indirectly offline)
are assumed to be directly related to the number of visitors, so
the beak-even point occurs where the sales curve crosses the total
of fixed and variable costs.

Fig. 4.3 
The maintenance, promotion and sales curves are all interactive,
and the model illustrates how maintenance and promotion are necessary
to sustain sales, but if the amount of traffic generated does not
exceed the break-even point, then the business cannot make a profit.
Cutting promotional costs to save money might actually cost the
company more if it drives the sales curve into lower sales.
Many businesses, particularly small ones appear to view promotional
expenditure as an unnecessary extra burden, and some even regard
their web site as a one off expense which must 'pay for itself'
before warranting any further investment.
As Chaffey et al (8) point out, maintenance costs for web
sites typically vary between 25% and 50% of original production
cost, but they find anecdotal evidence of very low site promotion
expenditure. Chaffey reports that his seminar attendees indicate
their companies only spend between 0 and 5% of their original investment.
Clearly a balance must be struck between the excessive advertising
spend of some of the early 'dot coms', and negligible promotion
expenditure which will predictably produce very disappointing results.
 
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