Kim, Kacy K. (author), Williams, Jerome D. (author), and Wilcox, Gary B. (author)
Format:
Book chapter
Publication Date:
2017
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Document Number: D08832
Notes:
Pages 42-60 in Yoon, Sukki and Oh, Sangdo (eds.), Social and environmental issues in advertising. United Kingdom: Routledge, Taylor and Francis Group, London. 169 pages.
Lancendorfer, Karen M. (author / Haworth College of Business), Atkin, JoAnn L. (author / Haworth College of Business), and Reece, Bonnie B. (author / Michigan State University)
Format:
Journal article
Publication Date:
unknown
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 177 Document Number: C30374
15 pages, The current study applied a “mixture-amount modeling” statistical approach—used most often in biology, agriculture, and food science—to measure the impact of advertising effort and allocation across different media. The authors of the current paper believe advertisers can use the mixture-amount model to detect optimal advertising-mix allocation changes as a function of their total advertising effort. The researchers demonstrated the use of the model by analyzing Belgian magazine and television data on 34 advertising campaigns for beauty-care brands. The goal is to help advertisers maximize desirable outcomes for campaign recognition and brand interest.
