News Release
Contact Information:
Angie Cunningham
Communications Manager
Phone: (212) 856-6387
E-mail: acunningham@nnnlp.com
Web site: www.nnnlp.com
August 10, 2005
Newspaper National Network Introduces GeoTargeting Model for DTC Pharmaceutical Advertisers
A New Way to Maximize ROI
New York - Newspaper National Network LP announced today the launch of a new GeoTargeting model designed to improve media decisions in the direct to consumer pharmaceutical category based on a mix of pharmaceutical prescription, geographic, and demographic information provided by a variety of data sources including IMS Health, Scarborough, and NNNs own newspaper databases. This new marketing framework provides customized analysis, by medication, of those MSAs delivering maximum return on a brands advertising dollars.
Our DTC GeoTargeting Model enables pharmaceutical advertisers to strategically focus their media spending and maximize return on investment, said Jason E. Klein, President and CEO of Newspaper National Network. We tailor media strategies based on a brands strategic goals.
NNNs new GeoTargeting model brings a unique mix of market intelligence and analytics to shape strategies for DTC marketers. It is just another way that NNN helps marketers to maximize their media return on investment using newspapers and newspaper web sites.
About NNN: Established in 1994, NNN is private partnership representing virtually all of the newspapers in the United States and owned by the largest US newspaper publishers and the Newspaper Association of America. NNN is the newspaper industry's national sales and marketing arm for categories including pharmaceutical, packaged goods, general merchandise, technology, automotive, business, and restaurants.
As the one-stop point of contact with national advertisers, NNN is dedicated to strengthening brands, improving effectiveness, reducing costs, and improving advertiser return on investment from national newspaper campaigns. NNN is headquartered in New York, with offices in Chicago, Los Angeles and San Francisco. More information about NNN can be found www.nnnlp.com.