Boman, Courtney (author) and Ellis, Jason (author)
Format:
Paper abstract
Publication Date:
2018-02
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 199 Document Number: D10006
Notes:
Abstract of paper presented at the National Agricultural Communications Symposium, Southern Association of Agricultural Scientists (SAAS) Agricultural Communications Section, Jacksonville, Florida, February 4-5, 2018., Describes the research concepts and methods used in this study. Includes no report of findings.
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.
Online from publication. 4 pages., Suggestions from a New York City-based exotic fruit influencer and leadership developer Angela Scarfia in leading an online workshop about marketing produce brands and companies on social media.
