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Digital
Kapital
Describing Value
Where You Find It
Part 2 on assessing Internet opportunity
Review: The story thus far - in past issues we've discovered brand
equity is a foundation for predicting the future traffic on a site,
but also that it is just one aspect of the calculation. You must
also include estimations of the cost of supporting the brand, driving
traffic, enhancing technology and, beneath it all, creating interesting
stuff, like editorial content, chat environments, and so on. The
bulk of Web value has come straight out of the human mind and been
swept into the economic sphere by Web technology. What was avocation
is now potential vocation, as millions of enthusiasts lay down layers
of informational value that can be mined by Web entrepreneurs. The
question for this issue - what are the back-of-the-envelope calculations
to use in assessing the value of a site?
EVERY site has its price, in terms of the time it took to build
it, the cost of construction, or the expense of advertising on it.
So, one day you're sitting around your swank offices and the phone
rings. An eager voice tells you they have a business plan for their
site, that they got your name from a friend of theirs, and they'd
like to raise money; perhaps they'd just like to sell it to you,
because it's such a great idea. The caller has their idea of what
the site is worth, not to mention what it can become.
If we're looking for gold deposits in the Internet, we need to
have the same kind of mental cues that a prospector in pyrite country
used to pick out a good site to pan for real gold. This is, after
all, a World Wide Web with 2,308,502 sites, according to the May
Netcraft survey. There are about as many nooks and crannies where
a good business might hide as there are creeks in the American West.
Finding gold is no simple job.
For instance, I recently received several mailings about a site
for sale. They include claims that the site has an average of 70,000
visitors daily, and more than 6.09 million pages served in three
months. Taken in isolation, those seem like really big numbers -
just what do they mean, though? Besides the fact that they seem
to be figures made up by an unmathematical mind? A little math shows
that 6.09 million pages served to 70,000 daily visitors is less
than one page per visitor per day - that's not much of a business.
A later claim by the would-be seller, that the site attracts 250
million viewers annually, is a 10x exaggeration (70,000 visits daily
times 365 = 25.55 million visits).
If, as I've written in previous issues, value is something that
accretes to sources of context, the current craze for "portal"
businesses makes sense. This strategy, though, just plain misses
the majority of real value on the Net. Netscape, Microsoft, CNET,
Disney, Excite, Lycos, and others, racing to position themselves
against the only two de facto portals, Yahoo! and AOL, sense that
providing context is valuable. The problem is that context is a
narrow field surrounding each individual or topic. The portal strategy
will work for a few sites certainly, but once the consumer dives
below the skin of the Web - a field that provides context about
the Web as a whole, not a particular topic - there are myriad vertical
sites to be built at a profit.
So, when someone says, "My site's a winner," what are
the questions that you should ask to determine whether they are
full of themselves, or just full of it? This is the first step in
choosing to invest or to do a story for a newspaper about the local
Web phenom.
Performing these calculations demands that you keep up on the basic
demographics of the Web. As mentioned, there are about 2.3 million
Web sites and somewhere between 44 million and 53 million World
Wide Web users, depending on which poll you want to endorse. When
you add email users to the Web population, you get approximately
110 million Internet users worldwide.
No one keeps track of the number of pages served across the Web,
the preferred metric being the number of visitors. However, because
the number of visitors means all sort of different things, from
unique IP address to sessions, there's no standard mode. After all,
dial-up Net users are assigned IP addresses dynamically; each time
they log onto the Net they have a different IP address. A Web audience
is like a muddle of ghosts being blown through the wires connecting
all the computers in the world. From one moment to the next, the
address space describes a different set of people.
I think we're stuck with the number of pages as the firmest measure
of a successful site, at least for back-of-the-envelope math. Number
of pages is related to number of advertisements a site can serve.
Pages-per-session correlate with informational value, since they
serve as an indication of the visitor's involvement with the site.
The point is to arrive at a sense of the traffic per client computer
and, by extrapolation, what the threshold number of pages served
represents a successful site.
And, as I said, no one knows exactly how many pages are delivered
to Web users each month.
Which leaves us to determine the typical Web user's page consumption.
If I'm typical, and I am not, it's in many thousands each month.
Fortunately, most people have better things to do with their time.
Watching non-computer professionals and young people on the Web,
the typical monthly page count is between 300 and 500. Then, there
are a lot of folks who barely use the Web, surfing to 50 or 60 pages
a month; many less. So, for simplicity's sake, let's say the mean
Web user's page consumption is 10 per day. Shortly you'll see that
this produces page view numbers that are close to reality.
So, you've got 45 million Web users looking at 10 pages per day,
as an average. That means that each month 13,687,500,000 pages are
dished up over the Web . If you take Mark Lotter's Internet host
survey, which shows how many computers (clients, too, not just Web
servers) were connected to the Net during his monthly poll, and
divide the total number of pages served by the Lotter result (29.7
million in May, 1998), you get an mean of 461.32 pages per host
each month. Keep in mind, some of these hosts connect many thousands
of computers to the network. The result is in the range of pages
I suggested each "typical" user downloads over the course
of a month, so let's assume that the 10-page-per-user figure is
a good basis for doing the rest of this cipher.
Next, we have to invoke Pareto's Principle, concocted by Italian
proto-Fascist Vilfredo Pareto, who postulated that 80 percent of
any outcome was produced by 20 percent of the input. Pareto was
an economist, but his analytic strategy, known as the 80/20 Rule
to managers today, is applied effectively in all sorts of fields.
It's one of those postulates that chaos researchers will figure
out someday.
In other words, 80 percent of Web pages are served by only 20 percent
of the servers. This, though, is a limiting concept. I argue that,
for purposes of assessing value, you have to apply a cascading Pareto
analysis, finding not just the top 20 percent of sites, but also
the top 20 percent of the top 20 percent, and so on, for several
iterations of the calculation.
To find a median number of pages served to identify a potentially
valuable site, I've also opted to divide the number of Web sites
in the top 20 percent by the total number of Web pages served each
month. And at each iteration of the calculation, each time we apply
the 80/20 Rule, I'll divide that number by the total pages served.
This is a shorthand trick to correct for the massive volume of Web
spider traffic reported as authentic traffic by many sites.
The preparatory calculations, then, are:
Total Number of Sites x .20 = n (Top 20 percent)
n x .20 = y (Top 4 percent)
y x .20 = z (Top 0.8 percent)
z x .20 = a (Top 0.16 percent)
Remember that the number of sites changes constantly. Here's what
we're talking about, in hard numbers during May, 1998:
n = 461,700 sites (Top 20 percent)
y = 92,340 sites (Top 4 percent)
z = 18,468 sites (Top 0.8 percent)
a = 3,693 sites (Top 0.16 percent)
Investing in a Top 20-percent site is no guarantee of success.
Sites lying in the top fifth among Web traffic are merely interesting,
and may demand a second look. I'll guarantee you that there aren't
92,340 Web sites out there turning a solid profit. The real value
lies in the top 0.8 percent sites on the Web, a select 18,468 sites
in May, 1998.
When it comes down to it, the real winners in today's market already
live in the top 20 percent of the last of our groups, "a,"
a class of double-a ("aa") sites among the top 0.03 percent
on the Web. This group accounts for about 700 sites that deliver
a mean of 19.5 million pages per month.
The real trick is to pick sites from among the top 0.8 percent,
our prime 18,468, in May 1998, that can leap into the very top tier
of "aa" sites.
All we've done, so far, is narrow the field of possibilities to
candidates that are interesting or very interesting. What are the
characteristics of those sites. For now, the criteria we will use
is strictly numeric, the intangibles will be the focus of future
installments. We now have to divide the total number of pages served
on the Net each month by each of the Top 20 variables, n, y, z,
and a to find the mean number of pages served by sites in each strata
of the cascading Pareto Analysis. To calculate the total pages per
month, multiply the number of Web users times 10, take the result
and multiply that by 365, then divide by 12. In May, 1998, the mean
number of pages served in each strata of the Top 20s are:
[Number of users x 10 x 365/12]/n = 29,645 pages per month
[Number of users x 10 x 365/12]/y = 148,229 pages per month
[Number of users x 10 x 365/12]/z = 741,146 pages per month
[Number of users x 10 x 365/12]/a = 3,706,336 pages per month
Again, let me stress that these are merely shorthand guidelines
for assessing how much value might be lying hidden in a Web site.
There's so much more to consider, and we will in future issues.
But, for a first cut mechanism, this is as good a cheat sheet as
I've seen.
Checking the number of pages served against these rules is akin
to looking at a valley, the high walls that surround it, the course
of the streams that cut down the sides, to figure out where gold
might have collected as it washed downhill. If we're going to find
gold, we must begin to pile up these kinds of tracking skills, so
we can tell at a glance whether we want to stop, pull out the pan
and sift for gold, or go on to the next opportunity beyond the hills
ahead.
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