IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v13y2023i1p21582440231152227.html
   My bibliography  Save this article

How YouTubers Make Popular Marketing Videos? Speech Acts, Move Structure, and Audience Response in YouTube Influencer Marketing Videos

Author

Listed:
  • Gong Chen
  • Yi Li
  • Ya Sun

Abstract

In recent years, the promotional discourse has grown more versatile due to the emergence of new social media. YouTube influencer marketing is of increasing significance for brands’ promotion, especially in the beauty category. Many studies on the effect of influencer marketing used self-reported surveys, the results of which provide limited help in formulating effective videos. The current study aims to characterize YouTube influencer marketing videos through speech act analysis and genre analysis and then determine the features significantly associated with audience response through correlation analysis. The study collects 12 videos from 8 YouTubers in the beauty category and finds that the overall speech act composition is 56% assertives, 26% expressives, 10.1% commissives, and 7.4% directives. The study also proposes a 10-move structure. Significant positive correlations are reported between audience response and the percentage of directives and three moves, advising YouTubers to utilize more directive speech acts, share more personal experience, and spend more time preparing the audience in the opening of videos soliciting subscription.

Suggested Citation

  • Gong Chen & Yi Li & Ya Sun, 2023. "How YouTubers Make Popular Marketing Videos? Speech Acts, Move Structure, and Audience Response in YouTube Influencer Marketing Videos," SAGE Open, , vol. 13(1), pages 21582440231, February.
  • Handle: RePEc:sae:sagope:v:13:y:2023:i:1:p:21582440231152227
    DOI: 10.1177/21582440231152227
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440231152227
    Download Restriction: no

    File URL: https://libkey.io/10.1177/21582440231152227?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ansari, Sana & Gupta, Sumeet, 2021. "Customer perception of the deceptiveness of online product reviews: A speech act theory perspective," International Journal of Information Management, Elsevier, vol. 57(C).
    2. de Vries, Lisette & Gensler, Sonja & Leeflang, Peter S.H., 2012. "Popularity of Brand Posts on Brand Fan Pages: An Investigation of the Effects of Social Media Marketing," Journal of Interactive Marketing, Elsevier, vol. 26(2), pages 83-91.
    3. Ariely, Dan, 2000. "Controlling the Information Flow: Effects on Consumers' Decision Making and Preferences," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 27(2), pages 233-248, September.
    4. Sokolova, Karina & Kefi, Hajer, 2020. "Instagram and YouTube bloggers promote it, why should I buy? How credibility and parasocial interaction influence purchase intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dina Mardhatilah & Azizah Omar & Ramayah Thurasamy & Rosa Prafitri Juniarti, 2023. "Digital Consumer Engagement: Examining the Impact of Audio and Visual Stimuli Exposure in Social Media," Information Management and Business Review, AMH International, vol. 15(4), pages 94-108.
    2. Ma, Xiangyang & Ren, Jiawen & Lang, Xiaoping & Yang, Ziyang & Li, Tieshan, 2024. "The influence of live video hosts' speech act on purchase behaviour," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Raza, Ali & Ishaq, Muhammad Ishtiaq & Khan, Ayesha & Ahmad, Rehan & Haj Salem, Narjes, 2023. "How fashion cewebrity influences customer engagement behavior in emerging economy? Social network influence as moderator," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    2. Eun-Ho Kim & Dongho Yoo & Sun-Jae Doh, 2021. "Self-construal on brand fan pages: the mediating effect of para-social interaction and consumer engagement on brand loyalty," Journal of Brand Management, Palgrave Macmillan, vol. 28(3), pages 254-271, May.
    3. Sunanda Nayak & Vijay Pereira & Bahar Ali Kazmi & Pawan Budhwar, 2024. "To Buy or Not to Buy? Exploring Ethical Consumerism in an Emerging Market—India," Journal of Business Ethics, Springer, vol. 191(4), pages 811-835, May.
    4. Zhan Wang, 2021. "Social media brand posts and customer engagement," Journal of Brand Management, Palgrave Macmillan, vol. 28(6), pages 685-699, November.
    5. Irina Heimbach & Oliver Hinz, 2018. "The Impact of Sharing Mechanism Design on Content Sharing in Online Social Networks," Information Systems Research, INFORMS, vol. 29(3), pages 592-611, September.
    6. Koehler, C.F. & Breugelmans, E. & Dellaert, B.G.C., 2010. "Consumer Acceptance of Recommendations by Interactive Decision Aids: The Joint Role of Temporal Distance and Concrete vs. Abstract Communications," ERIM Report Series Research in Management ERS-2010-041-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    7. Suomi, Kati & Luonila, Mervi & Tähtinen, Jaana, 2020. "Ironic festival brand co-creation," Journal of Business Research, Elsevier, vol. 106(C), pages 211-220.
    8. Malin Sundström & Anita Radon, 2015. "Utilizing The Concept Of Convenience As A Business Opportunity In Emerging Markets," Organizations and Markets in Emerging Economies, Faculty of Economics, Vilnius University, vol. 6(2).
    9. Park, Jinhee & Ahn, Hyeongjin & Kim, Dongjae & Park, Eunil, 2024. "GNN-IR: Examining graph neural networks for influencer recommendations in social media marketing," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    10. SZIKSZAI-NÉMETH Ketrin, 2020. "Personal Branding In Team Sports Marketing," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 416-424, July.
    11. Yousef Ahmad El Dameh & Hamad AL Ghadeer, 2021. "The Impact of Traditional Direct Marketing on Creating Brand Awareness: Case Study on IKEA in Jordan," International Journal of Business and Management, Canadian Center of Science and Education, vol. 14(3), pages 130-130, July.
    12. Halloran, Timothy J. & Lutz, Richard J., 2021. "Let's Give Them Something to Talk About: Which Social Media Engagements Predict Purchase Frequency?," Journal of Interactive Marketing, Elsevier, vol. 56(C), pages 83-95.
    13. Coelho, Pedro Simões & Rita, Paulo & Santos, Zélia Raposo, 2018. "On the relationship between consumer-brand identification, brand community, and brand loyalty," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 101-110.
    14. Souheila Kaabachi & Mohamed Karim Kefi & Monyédodo Régis Kpossa & Ahmed Anis Charfi, 2021. "Celebrity Endorsement vs Influencer Endorsement for Financial Brands: What does Gen-Z think?," Post-Print hal-03767446, HAL.
    15. William G. Heninger & Alan R. Dennis & Kelly McNamara Hilmer, 2006. "Research Note: Individual Cognition and Dual-Task Interference in Group Support Systems," Information Systems Research, INFORMS, vol. 17(4), pages 415-424, December.
    16. Tafesse, Wondwesen & Wood, Bronwyn P., 2021. "Followers' engagement with instagram influencers: The role of influencers’ content and engagement strategy," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    17. Zhou, Qi & Li, Bin & Li, Huajun & Lei, Yueqiu, 2024. "Mere copycat? The effects of human versus human-like virtual influencers on brand endorsement effectiveness: A moderated serial-mediation model," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    18. Tony Cooper & Constantino Stavros & Angela R. Dobele, 2019. "The levers of engagement: an exploration of governance in an online brand community," Journal of Brand Management, Palgrave Macmillan, vol. 26(3), pages 240-254, May.
    19. Giannis Milolidakis & Demosthenes Akoumianakis & Chris Kimble, 2013. "Digital traces for business intelligence: A case study of mobile telecoms service brands in Greece," Post-Print halshs-00954440, HAL.
    20. Ganesh Dash & Chetan Sharma & Shamneesh Sharma, 2023. "Sustainable Marketing and the Role of Social Media: An Experimental Study Using Natural Language Processing (NLP)," Sustainability, MDPI, vol. 15(6), pages 1-16, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:sagope:v:13:y:2023:i:1:p:21582440231152227. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.