OK. We've gotten to
the point where many advertisers accept that the Internet has to be a
part of their mix. They also realize that they need to be aggressive in
advertising levels overall (see MPA and ARF literature on spending in a
down market). But how much should they allocate? We had a meeting this
week that was going wonderfully. We had the target nailed, as we did the
other objectives. We showed the client from a broad stroke what
priorities they could afford within their budget and what it would cost
to get downtown with their aggressive targets. We reviewed the A/S
ratios for their competitors. Problem was, there was a gap. Since it was
a BTB client, most of their competitors spent money in print and Web. We
could wax poetically about the level of spending, even estimate R/F
within print and list the vehicles they advertised on. Then they asked
the killer question. What about Interactive competitive spending? We
really did not want to go there for a number of reasons.
First, the current tools are no good for estimating how much each
competitor spends. Sure, they can chronicle the creative units, telling
us in detail how fast the move is to new IMUs and what the relative
expenditure is for each unit. They can, for the most part, pick up when
a new competitor starts to advertise. But the representation of dollars
spent is not even close. Many campaigns are off by 50%. And there are
still cases where spending levels are overestimated by hundreds of
percentage points or not shown at all, even though we can identify by
simple browsing that the competitor is advertising on the Web.
The reality is that, after years of investment, the process for
measuring competitive may just be wrong. Think about it. In order to
identify an advertiser, the competitive metric company must send bots
out to tell which ads are running. Besides the fact that some sites try
to defeat these bots, there is no way that the technology can pick up
all of the advertising. If they could, there would be no advertising
served to consumers, it would all be served to the bots. In print
advertising, all ads are identified for the most part. In national TV,
the case is the same. The only issue is predicting the price and the
vendors have gotten pretty good at that.
Spot radio is hard to measure with external technology. That's why
the industry went to station reporting some time ago. Took some arm
twisting to show the benefit but the cooperation is now fairly global.
Oh, and by the way, as covered in my Spin article from last August
"Making Internet Advertising Affordable", the costs for the inaccurate
Internet metrics are way out of whack. It costs almost as much to
subscribe to one of the Internet competitive ad spending services as it
does for all traditional media competitive spending combined. And, it is
pretty much unit pricing, with little understanding that smaller clients
and agencies cannot afford the same as a multimillion dollar
conglomerate, based on the commissions earned on the medium.
So we were forced to tell our client that the data was insufficient
for an intelligent decision and was inordinately expensive for the
quality.
We need a new model. Yahoo!, MSN, AOL, CNET and other top sites, are
you listening? Clients want to know the level that others are spending.
Then, they want to up the ante and spend more. How hard is this to
figure out? Commission a new third party to collect all spending
information that has already happened. Most media regard history
as an open book. If you share the spending levels by client (not the cpm
or impressions), major companies will be able to justify greater
spending!
Who could take on this project? It could be somebody like SQAD that
is collecting aggregate CPMs for planning purposes. Or, it could easily
fit into the data collection done on sites by Atlas DMT, DoubleClick or
other agency site selector interfaces yet to come.
We need a new model. The current one has had over five years to prove
itself and does not seem to be getting better. They keep adding features
to justify even higher prices for data that is not good enough for
decisions. If they won't change, someone else should introduce a new
methodology, based largely on the process that has worked well for
radio. It is not perfect, but it makes for better decisions. Better
information results in more spending. The major sites can push to make
this happen and benefit as a result. We only hope that they will do
something.
David L. Smith is President and CEO of Mediasmith, Inc.