The following links are examples of the type of output FMR Associates offers.
- National Country Trends, as presented at the Albright & O'Malley client seminar in Nashville, Tennessee, February, 2006
- National Rock Trends, May, 2008
- Internet Impact Trends, October, 2008
- Localism and Morning Edition, presented at the Public Radio Program Directors conference, September 2007
- End User Research Project, presented at the IMA Conference, January, 2005
Other examples of research output are available on our Published Research Examples page.
FMR Format Opportunity Analysis Presentation Highlights:
The following summarizes some of the presentation output from
an FMR Format Opportunity Analysis™ Study. FMR's highly-regarded
and exclusive Format Share Projection Analysis evaluates the 18+
Share ratings growth potential of a new station using three
"triangulation" measures:
- 18+ Competitive Format Potential Method (Measure of format tune-in appeal, overall preference, music cluster preference and station association factors.)
- 18+ Competitive Format Analysis Method (Evaluation of competitive factors. Share projections that are "negative" suggest that shares have to be "taken" from existing competitors strongly associated with the format.)
- 18+ Growth Opportunity Potential ("Unattached" 18+ Shares -- those unaware or not satisfied with each formatic description.)
An Overall Format Share Projection is then derived based on
the weighted average of the three projection methods.
This projection is used to estimate potential appeal
for each option being considered.
The Format Opportunity Analysis also uncovers the weaknesses
of competitive stations to determine the best "target"
to attack with a new station and which format
would most likely protect cluster "partner" stations.
The Format Opportunity Analysis includes specific format recommendations and/or
a ranking of format alternatives (including music mix composition suggestions),
as well as key format programming elements (to maximize the vulnerabilities
of existing competitors) and the most efficient/effective marketing
strategies to attract and motivate the most likely target audience
cume for the station (while minimizing "cannibalization" or negative
impacts on cluster "partner" stations).
