{"title":"A picture’s worth a thousand shares: An empirical analysis of logo sizes in social media posts and their impact on content virality","authors":"Wooyong Jo, Hyejeong Kim, Jeonghye Choi","doi":"10.1007/s11002-024-09736-4","DOIUrl":null,"url":null,"abstract":"<p>Social media marketing is an established promotion strategy that offers firms extensive opportunities to nurture brand equity and to disseminate product information. Therefore, it is crucial for firms to create content with significant potential for virality. However, understanding the elements that make certain content more viral than others, especially regarding unstructured data such as images, is not straightforward to marketers. Using data collected from the Twitter API of 54 major fashion brands over 55 months, we investigated how image factors—particularly the size of brands’ logos in posted images—influence the virality of social media content. Our findings suggest that larger logos in posted images correspond to a greater number of retweets for midtier fashion brands. However, we find an opposite effect for top-tier brands—the smaller the logo, the greater the number of retweets. Bottom-tier brands also benefit from larger logos, but the impact is significantly less pronounced compared with midtier brands. These results present significant implications for viral marketing as well as the design of social media content.</p>","PeriodicalId":48068,"journal":{"name":"Marketing Letters","volume":"51 1","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Marketing Letters","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1007/s11002-024-09736-4","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
Social media marketing is an established promotion strategy that offers firms extensive opportunities to nurture brand equity and to disseminate product information. Therefore, it is crucial for firms to create content with significant potential for virality. However, understanding the elements that make certain content more viral than others, especially regarding unstructured data such as images, is not straightforward to marketers. Using data collected from the Twitter API of 54 major fashion brands over 55 months, we investigated how image factors—particularly the size of brands’ logos in posted images—influence the virality of social media content. Our findings suggest that larger logos in posted images correspond to a greater number of retweets for midtier fashion brands. However, we find an opposite effect for top-tier brands—the smaller the logo, the greater the number of retweets. Bottom-tier brands also benefit from larger logos, but the impact is significantly less pronounced compared with midtier brands. These results present significant implications for viral marketing as well as the design of social media content.
期刊介绍:
Marketing Letters: A Journal of Research in Marketing publishes high-quality, shorter paper (under 5,000 words including abstract, main text and references, which is equivalent to 20 total pages, double-spaced with 12 point Times New Roman font) on marketing, the emphasis being on immediacy and current interest. The journal offers a medium for the truly rapid publication of research results.
The focus of Marketing Letters is on empirical findings, methodological papers, and theoretical and conceptual insights across areas of research in marketing.
Marketing Letters is required reading for anyone working in marketing science, consumer research, methodology, and marketing strategy and management.
The key subject areas and topics covered in Marketing Letters are: choice models, consumer behavior, consumer research, management science, market research, sales and advertising, marketing management, marketing research, marketing science, psychology, and statistics.
Officially cited as: Mark Lett