To do this, we utilized
TacticVision from Lake 5 Media
to analyze our client’s as-run
schedule for Adults 18–49 and
each of our two custom targets
using the Nielsen TV/GfK MRI
Fusion. In a typical month, the
client had a reach of 79 percent for Adults 18–49 with an
average frequency of 14.9 (see
figure 1). Using the Nielsen TV/
GfK MRI Fusion data, we can
also see that the reach and
frequency delivered with the
busy-but-balanced families
was 89 percent/15.5 and 86
percent/17.4 for socializers.
Even this “simple” ability
to look at a schedule’s performance with more complex
attitudinal, behavioral, and
demographic brand targets,
using standard opportunity
to see metrics like reach and
frequency, is not a widespread
practice. This is a powerful
capability that can help
agencies and their clients
optimize schedules based on
the value of their brand targets.
But there’s even more to
be gained by using data and
technologies that enable us to
select media environments that
not only reach the right target,
but deliver better impact.
For the same client, we
employed Television Convic-
tion™, a proprietary metho-
dology we’ve developed at
the Martin Agency. It uses
respondent level viewing data
from the Nielsen TV/GfK MRI
Fusion in concert with
proprietary models to deter-
mine the effective media
impact of each placement for
specific target consumers.
Conviction goes beyond viewing
and tune-ins to incorporate
many metrics about the quality
of the program environment,
including clutter, dropoff, and
DVR playback. For our
example month, we deter-
mined that the Conviction
impact for the Adults 18–49
target was 128, which meant
that the telecasts chosen for
the buy had a 28 percent
higher impact than the average
telecast during that period for
our target. That’s pretty good.
seconds, and a mix of broadcast and cable. We also
worked to ensure our reallocation would be possible to
achieve in the market. We
evaluated every telecast in the
month for both targets, and
arrived at a new schedule that
was much more effective.
Specifically, the optimized
schedule had the same reach
for our Adults 18–49 demographic and two brand targets,
with nearly comparable frequency. The impact scores
for all targets increased, with
Adults 18–49 up 8 percent,
TOTAL SPEND (EXAMPLE MONTH)
FIGURE 1
$21,000,000 $18,800,000
- 10.5%
Reach/Frequency
Adults 18–49
Optimized
Schedule
79%/13.3
89%/14.3
85%/15.9
Difference
0%/-11%
0%/-8%
-1%/-9%
Television Conviction™ Impact Index
Adults 18–49
Busy-but-balanced families
Socializers
128
123
79
138
158
247
8%
29%
213%
percent less effective than a
placement on the average
telecast aired during the period.
Given that socializers were the
primary volume drivers for the
brand, this was untenable.
Using Conviction to
demonstrate how we would
be able to more effectively
align media investment to our
brand targets, we reoptimized
the as-run schedule, taking
special care to keep a number
of variables constant,
including: daypart mix,
network list and spend levels
for certain key networks, spot
mix of 15 seconds and 30
busy-but-balanced families up
29 percent, and socializers
up 213 percent.
But the big story was the
fact that these results were
achieved with 10. 5 percent less
cost. Annually, this represented
a potential savings for the client
in excess of $20 million.
These kinds of figures
provide compelling rationale
for more precise targeting,
which is made possible by
new technologies and more
granular data that afford
marketers much needed
insight to guide their media
investment strategy. ■
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ANA Thought Leadership Series May 2012 | 7