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70
years ago Art Nielsen, Sr. read the future when he had his reports inscribed, “.
. . If you cannot measure a thing, then your knowledge is meager indeed.” Art
Nielsen was predicting media’s long tail.
Body Part of the Year
Forget the celebrity smile. This year’s iconic body part is the long
tail. It describes the scattered distribution of consumers as more options
become available to a relatively constant population.
In
commerce that means a growing number of small brands and in media many more
tiny audiences. Both the Internet and Television are good examples of media’s
long tail.
Limbs and a Torso
At a recent ARF conference,
Scott McDonald of Conde Nast wowed the tail-struck audience by attaching limbs
and a torso. A few of Scott’s examples:
From 1,000 hit albums in 2000 to only 400 in 2007 because there are
many more internet distributed albums for people to choose from. From
the 100,000 books available at a conventional mega-bookstore, to the 3.7 million
titles on the virtual shelves of Amazon. From a top TV show audience share
of a 68 in 1953 to a 13 share in 2005, to an average cable rating of less than
a 1.0 in 2008 as we top 110+ TV channels. And many, many more brands in every
major product and service category.
Boundless and Countless
With all this choice an advertiser’s media options seem boundless, but
countless might be the better word. Media’s long tail is very hard to
measure. The predictable effect on media research, the TV ratings for
example, is Apocalyptic. To quote another Media Prophet:
“When the number of channels climbs to Heaven, the average rating
falls to Earth and sampling error will blot out the Sun.”
The samples tiny audiences
require for stable data are beyond even the big purse of Television. It is
common knowledge that the ratings of many commercial minutes are smaller than
their relative error, which means we can be certain their true value lies somewhere
between zero and a real number.
The quick fix approach is averaging the small
audiences, but that carries a different price. It ignores the greater targeting
value of the many individual pieces of television’s growing long tail.
The Survey Is No Longer Enough
Media
are learning that sample-based research is no longer adequate to report the
size and personality of their many audiences. Yet media research continues
with business as usual. Most of the focus is on adding new measurements like
engagement or product purchase, not on repairing the basic counts of audience. That
would require a complete remake of how we do the measuring.
The first medium to confront the long tail problem is Out of Home. Outdoor
had no choice but to abandon conventional survey measurement. It needed board-by-board
ratings but couldn’t afford the mega samples (25,000 respondents as a
starter) required in each major market to produce stable, unit-by-unit data.
Measuring
Out of Home’s long tail required outdoor’s Traffic Audit
Bureau, led by Joe Philport, to build an integrated, multi-layered audience
measurement system. For Out of Home the layers are:
1) Near census-level traffic
data to provide the robust base count of persons passing by billboards. This
measures “opportunity to see.”
2) Eye-tracking data to measure the noticeability of different size outdoor
units in different roadside situations. This reduces “Opportunity to
see” to
people who have “Eyes OnTM” the unit.
3) Survey data to gather
the demographics and reach/frequency patterns of the Eyes OnTM audiences.
4)
Modeling to integrate the three data streams into a complete unit-by-unit Out
of Home database.
In
this schema the conventional survey is but one of several data contributors
to a total measurement system.
Counting Sand with Your Fingers
Counting grains of
sand with your fingers. That’s what the long tail asks of survey research
today. There is a better research model and Out of Home has already made
the move. Television is next. Measuring its grains of sand is also beyond sample-based
surveys.
For TV we can use near-census cable set-top box data as the base count
of opportunity to see, eye-tracking to finally measure people seeing commercials
and add sample-based research to model viewer demos and reach/frequency.
This would provide precise Eyes OnTM ratings for all TV inventories
and allow us to target, package and buy better. It would be a much improved
ratings system.
The technique is called data integration. And it grabs media by the tail.

- June 30, 2008 -
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