論文

査読有り 最終著者 責任著者 本文へのリンクあり
2023年10月26日

Analysis of Psychographic Indicators via LIWC and Their Correlation with CTR for Instagram Ads

The 22nd IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '23)
  • Kenjiro Inoue
  • ,
  • Mitsuo Yoshida

開始ページ
648
終了ページ
654
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/wi-iat59888.2023.00106
出版者・発行元
IEEE

The online advertising industry continues to grow and accounts for over 40% of global advertising spending. Online display advertising consists of images and text, and advertisers maximize sales revenue by contacting consumers through advertisements and encouraging them to make purchases. In today's society, where products are becoming more homogenized and needs are diversifying, appealing to consumer psychology through advertisements is becoming increasingly important. However, it is not sufficiently clear what kind of appeal influences consumer psychology. In this study, we quantified the appeal of the text in advertisements for health products and cosmetics, which were actually delivered in Instagram advertisements (one of display advertisements), by applying linguistic inquiry and word count (LIWC). The correlation between click-through rate (CTR) and the text was analyzed. The results showed that negative appeals that arouse consumer anxiety and a sense of crisis were related to CTR.

リンク情報
DOI
https://doi.org/10.1109/wi-iat59888.2023.00106
共同研究・競争的資金等の研究課題
人間中心の社会共創デザインを可能とするデジタル社会実験基盤技術の開発
URL
http://xplorestaging.ieee.org/ielx7/10350035/10350061/10350133.pdf?arnumber=10350133
URL
https://doi.org/10.48550/arXiv.2312.08235 本文へのリンクあり
ID情報
  • DOI : 10.1109/wi-iat59888.2023.00106

エクスポート
BibTeX RIS