Abstract
Our research investigates what increases click-through rates on YouTube videos, specifically the role of the thumbnail, the video title, and the verification badge. In the thumbnail, we look at the role of color characteristics and the inclusion of people, drawing on color psychology and the parasocial interaction phenomenon. In the video title, we look at the role of capital letters and emotional words, drawing on the elaboration likelihood model and negativity bias. Finally, we look at the role of the verification badge, drawing on source credibility theory. To test our hypotheses, we gather data from YouTube, by using YouTube’s Application Programming Interface (API) to collect 50,000 thumbnails, video titles and other relevant data from a total of 1000 influencers in 10 different categories. Our findings will have implications across the marketing and information systems domains and, practically, will provide guidance for the many influencers who rely on the optimal reach of their videos as their source of income.
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References
Amsteus, M., As-Shaaban, S., Wallin, E., Sjöqvist, S.: Colors in marketing: a study of color associations and context (in)dependence. Int. J. Bus. Soc. Sci. 6, 32–45 (2015)
Berger, J., Humphreys, A., Ludwig, S., Moe, W.W., Netzer, O., Schweidel, D.A.: Uniting the tribes: using text for marketing insight. J. Mark. 84(1), 1–25 (2020)
Clement, J.: Social media - Statistics & Facts (2020). https://www.statista.com/topics/1164/social-networks
Chi, C.: How Long Should Your Videos Be? Ideal Lengths for Facebook, Instagram, Twitter, and YouTube [Infographic] (2018). https://blog.hubspot.com/marketing/how-long-should-videos-be-on-instagram-twitter-facebook-youtube
Dehghani, M., Niaki, M.K., Ramezani, I., Sali, R.: Evaluating the influence of YouTube advertising for attraction of young customers. Comput. Hum. Behav. 59, 165–172 (2016)
De Veirman, M., Cauberghe, V., Hudders, L.: Marketing through Instagram influencers: the impact of number of followers and product divergence on brand attitude. Int. J. Advertising 36(5), 798–828 (2017)
Djafarova, E., Trofimenko, O.: ‘Instafamous’ – credibility and self-presentation of micro-celebrities on social media. Inf. Commun. Soc. 22(10), 1432–1446 (2019)
Evans, N.J., Phua, J., Lim, J., Jun, H.: Disclosing Instagram influencer advertising: the effects of disclosure language on advertising recognition, attitudes, and behavioral intent. J. Interactive Advertising 17(2), 138–149 (2017)
Garaus, M., Halkias, G.: One color fits all: product category color norms and (a)typical package colors. Rev. Managerial Sci. 14(5), 1077–1099 (2020)
Gaur, S.S., Herjanto, H., Makkar, M.: Review of emotions research in marketing, 2002–2013. J. Retail. Consum. Serv. 21(6), 917–923 (2014)
Google: Verification badges on channels (2021). https://support.google.com/youtube/answer/3046484?hl=en
Hall, K.: The Importance of Authenticity in Influencer Marketing (2016). https://www.sproutcontent.com/blog.the-importance-of-authenticity-in-influencer-marketing
Hudders, L., De Jans, S., De Veirman, M.: The commercialization of social media stars: a literature review and conceptual framework on the strategic use of social media influencers. Int. J. Advertising 1–49 (2020)
Lee, J.E., Watkins, B.: YouTube vloggers’ influence on consumer luxury brand perceptions and intentions. J. Bus. Res. 69(12), 5753–5760 (2016)
Lou, C., Kim, H.K.: Fancying the new rich and famous? explicating the roles of influencer content, credibility, and parental mediation in adolescents’ parasocial relationship, materialism, and purchase intentions. Front. Psychol. 10(2567) (2019). https://doi.org/10.3389/fpsyg.2019.02567
Lou, C., Yuan, S.: Influencer marketing: how message value and credibility affect consumer trust of branded content on social media. J. Interactive Advertising 19(1), 58–73 (2019)
Mediakix: Influencer marketing 2019: key statistics from our influencer marketing survey (2019). https://mediakix.com/influencer-marketing-resources/influencer-marketing-industry-statistics-survey-benchmarks/#instagram
Petty, R.E., Cacioppo, J.T.: The Elaboration likelihood model of persuasion. In: Petty, R.E. (ed.) Communication and Persuasion: Central and Peripheral Routes to Attitude Change, pp. 1–24. Springer, New York (1986). https://doi.org/10.1007/978-1-4612-4964-1_1
Posner, M.I., Boies, S.J.: Components of attention. Psychol. Rev. 78(5), 391–408 (1971)
Rozin, P., Royzman, E.B.: Negativity bias, negativity dominance, and contagion. Pers. Soc. Psychol. Rev. 5(4), 296–320 (2001)
Sawada, R., Sato, W.: Emotional attention capture by facial expressions. Sci. Rep. 5(1), 14042 (2015)
Scott, D.M.: The New Rules of Marketing and PR, 5th edn. Wiley, New York (2015)
Sokolova, K., Kefi, H.: Instagram and YouTube bloggers promote it, why should I buy? How credibility and parasocial interaction influence purchase intentions. J. Retail. Consum. Serv. 53, 26 (2020). https://doi.org/10.1016/j.jretconser.2019.01.011
Sokolik, K., Magee, R.G., Ivory, J.D.: Red-hot and ice-cold web ads: the influence of web ads’ warm and cool colors on click-through rates. J. Interactive Advertising 14(1), 31–37 (2014)
Tankosvka, H.: Daily social media usage worldwide 2012–2019 (2021). https://www.statista.com/statistics/433871/daily-social-media-usage-worldwide
Tellis, G.J., MacInnis, D.J., Tirunillai, S., Zhang, Y.: What Drives virality (sharing) of online digital content? the critical role of information, emotion, and brand prominence. J. Mark. 83(4), 1–20 (2019)
Vaish, A., Grossmann, T., Woodward, A.: Not all emotions are created equal: the negativity bias in social-emotional development. Psychol. Bull. 134(3), 383–403 (2008)
Vroom, V.H.: Work and Motivation. Wiley, Oxford (1964)
Weismueller, J., Harrigan, P., Wang, S., Soutar, G.N.: Influencer endorsements: how advertising disclosure and source credibility affect consumer purchase intention on social media. Aus. Mark. J. (AMJ) 28(4), 160–170 (2020)
Xiao, M., Wang, R., Chan-Olmsted, S.: Factors affecting YouTube influencer marketing credibility: a heuristic-systematic model. J. Media Bus. Stud. 15(3), 188–213 (2018)
YouTube.: YouTube for Press (2021). https://www.youtube.com/intl/en-GB/about/press
Yu, C.-E., Xie, S.Y., Wen, J.: Coloring the destination: the role of color psychology on Instagram. Tourism Manag. 80, 104110 (2020)
Yuan, S., Lou, C.: How social media influencers foster relationships with followers: the roles of source credibility and fairness in parasocial relationship and product interest. J. Interactive Advertising 20(2), 133–147 (2020)
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Weismueller, J., Harrigan, P. (2021). Organic Reach on YouTube: What Makes People Click on Videos from Social Media Influencers?. In: Martínez-López, F.J., López López, D. (eds) Advances in Digital Marketing and eCommerce. DMEC 2021. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-76520-0_17
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