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We test Direct Response Radio creative on large Arbitron-rated AM radio stations,
a few Sirius XM channels, or a 30-50 station streaming network. We track results
closely, and then set Target Media Cost, Response & Conversion rates for rollouts in terrestrial or satellite network radio.
This page summarizes how we select test stations, the metrics we track,
and the way we gross up local results to roll out buys.
Click the sidebar links for explanations of the math.
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Local Radio Tests |
SELECT STATIONS
We test on at least two
Arbitron-rated stations that each deliver high percentages of Target
Audience and Qualified Audience listeners in their weekly cumes.
If you are certain you will end
up in network destination programming (Rush, Sean, ESPN Sports, etc.) we can run
only on two or three of those programs, replicating a sparse national buy
over two or three weeks.
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TA & QA Demos
Cume Rankers
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TEST FOR TWO TO FIVE WEEKS
A good response-tracking test
runs for at least 3 and at most 10 consecutive days, spanning at least one weekend.
We use two or three different models that each achieve an Effective
Frequency range of 1.0 to 2.5+.
In a destination program test we
replicate a future national buy: Intro Blitz (one or two :60 on a show), followed by an OEF Flight that matches
the presumed Steam Speed of your Target Audience.
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Optimum Effective
Frequency
OEF Flighting
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TRACK RESPONSE RATES
We track G = Response in 000's of TA
Gross Impressions per call or click. You should establish a 30-60 day
average daily response baseline prior to the test. That's the
only way to measure the incremental impact of the radio.
Since we know that future
network buys will come in at much lower CPMs, we are only interested in the
C and G portions of the GM/C=X equation.
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GM/C = X
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TRACK CONVERSION RATES
We also track your own C, i.e.
your single- or multi-step
phone or web conversion. You should also establish a 30-60 day average
conversion baseline prior to the test.
Unless your home page has an
established conversion rate of 8.5% or more, I strongly urge you to consider
a separate Radio URL devoted entirely to making the first sale.
See Direct Response Radio
Conversion and Streaming Radio Landing Pages for details.
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Direct Response
Radio Conversion
Streaming Radio
Landing Pages
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TRACK OEF RANGE
The Optimum Effective Frequency
Range for most established or unique brands is 1.5 to about 2.5. In
some cluttered categories new advertisers may take a little longer to get up
to speed.
Tracking single-station OEF and
Quotas is
very simple and requires only AQH and Cume data from a station. For multiple-station tests in a
single market we'll often ask a station rep to plot progressive average
frequency using
Arbitron software.
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Cume Response &
Sales Quotas
Optimum Effective
Frequency
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SET TARGET CPM
Local radio sells at two to
three times the CPM of satellite and
network. Given a target or reasonable MCPS, and known
values of G & C, target M can be easily derived (M = CX/G).
High response and conversion
rates can make the pricier network destination programs affordable, even at
a modest Media Cost per Sale.
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Set Target CPM
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Network Roll Outs
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GROSS UP TEST RESULTS
Local response rates, conversion
rates, OEF Ranges and quotas translate readily into network buys at lower
CPMs. For a sample local-to-network chart, click
here.
The general idea is to buy just
enough presence up front on any network vehicle to achieve Entry EF, but not so much
as to exceed Exit EF unless results warrant. It is better to
under-buy, and leave sales on the table, than to over-buy and waste money.
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Network Rollouts
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SET OEF FLIGHTING
How often a flight of
commercials runs on a network vehicle depends on how quickly the Cume Quota
responds and how fast or slowly it refreshes itself. Drag response is
an excellent indicator of Steam Speed and refreshment rate.
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OEF Flighting
Drag
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DOUBLE CHECK CONVERSION
The vast majority of successful
local and network Direct Response Radio tests occur when the in-bound TMs
are well trained and prepared for the traffic, or when a home page (or
Radio URL) is set up to feed Impulse Shoppers quickly to a Shopping Cart.
Conversely, B-Team TMs with too
few in-coming lines and cluttered web pages with too many links and options
tend to result in low conversion rates and unnecessarily high MCPS. I
have blown out web servers in the past. Be ready.
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Streaming Radio Landing Pages
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