Effective strategies in short video advertising: leveraging influencer endorsements and discounts
Abstract
Purpose: This paper aims to examine how the number of short videos posted and the number of influencers employed, two important strategies in short video marketing, affect consumer behavior and how price discounts moderate the effects of influencer endorsement on consumer browsing and purchasing behavior. Design/methodology/approach: Drawing on the literature on influencer endorsement, this study used an ordinary least square model to empirically examine the two effects of endorsement strategies in increasing product traffic and sales for consumers at a short video app, Douyin (TikTok). Findings: The results show that the number of short video ads produces the classic inverted U-shape for traffic and sales, and both effects were strengthened under a high discount condition. Whereas the number of influencers has a positive effect on traffic but produces an inverted U-shape for sales, both effects were undermined under a high discount condition. Originality/value: This study is the first to explore the two distinct effects (repetition effect and diffusion effect) of influencer endorsement on browsing and purchasing behavior and theorize about the moderate effects of discounts on these effects.
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Cites
Information and Consumer Behavior
Nelson, P. J. (1970) · Journal of Political Economy · doi:10.1086/259630 · Cited by 5,758 · see citing works
Does Doing Good Always Lead to Doing Better? Consumer Reactions to Corporate Social Responsibility
Sen, S., & Bhattacharya, C. B. (2001) · Journal of Marketing Research · doi:10.1509/jmkr.38.2.225.18838 · Cited by 4,659 · see citing works
Measuring the hedonic and utilitarian sources of consumer attitudes
Batra, R., & Ahtola, O. T. (1991) · Marketing Letters · doi:10.1007/bf00436035 · Cited by 2,225 · see citing works
How live streaming influences purchase intentions in social commerce: an IT affordance perspective.
Sun, Y., Shao, X., Li, X., Guo, Y., & Nie, K. (2019) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2019.100886 · Cited by 1,038 · see citing works
Schlosser, A. E., White, T. B., & Lloyd, S. M. (2006) · Journal of Marketing · doi:10.1509/jmkg.70.2.133 · Cited by 947 · see citing works
Brand Familiarity and Advertising Repetition Effects
Campbell, M. C., & Keller, K. L. (2003) · Journal of Consumer Research · doi:10.1086/376800 · Cited by 906 · see citing works
Chung, S., & Cho, H. (2017) · Psychology & Marketing · doi:10.1002/mar.21001 · Cited by 809 · see citing works
Jin, S. A., & Phua, J. (2014) · Journal of Advertising · doi:10.1080/00913367.2013.827606 · Cited by 797 · see citing works
Park, H. J., & Li, L. (2019) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.101934 · Cited by 742 · see citing works
Live streaming commerce and consumers’ purchase intention: An uncertainty reduction perspective
Lu, B., & Chen, Z. (2021) · Information & Management · doi:10.1016/j.im.2021.103509 · Cited by 726 · see citing works
The Role of Social Media Content Format and Platform in Users’ Engagement Behavior
Shahbaznezhad, H., Dolan, R., & Rashidirad, M. (2021) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2020.05.001 · Cited by 618 · see citing works
The effectiveness of celebrity endorsements: a meta-analysis
Knoll, J., & Matthes, J. (2017) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-016-0503-8 · Cited by 601 · see citing works
Leung, F. F., Gu, F. F., & Palmatier, R. W. (2022) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-021-00829-4 · Cited by 580 · see citing works
Influencer Marketing Effectiveness
Leung, F. F., Gu, F. F., Li, Y., Zhang, J. Z., & Palmatier, R. W. (2022) · Journal of Marketing · doi:10.1177/00222429221102889 · Cited by 562 · see citing works
Kaye, D. B. V., Chen, X., & Zeng, J. (2021) · Mobile Media & Communication · doi:10.1177/2050157920952120 · Cited by 500 · see citing works
Wongkitrungrueng, A., Dehouche, N., & Assarut, N. (2020) · Journal of Marketing Management · doi:10.1080/0267257x.2020.1748895 · Cited by 495 · see citing works
(Rinka), X. X., & Pratt, S. (2018) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2018.1468851 · Cited by 489 · see citing works
The Effects of Multiple Product Endorsements by Celebrities on Consumers' Attitudes and Intentions
Tripp, C., Jensen, T. D., & Carlson, L. (1994) · Journal of Consumer Research · doi:10.1086/209368 · Cited by 454 · see citing works
Coordination Mechanisms for a Distribution System with One Supplier and Multiple Retailers
Chen, F., Federgruen, A., & Zheng, Y. (2001) · Management Science · doi:10.1287/mnsc.47.5.693.10484 · Cited by 449 · see citing works
Gu, B., & Ye, Q. (2013) · Production and Operations Management · doi:10.1111/poms.12043 · Cited by 444 · see citing works
Self-citationRetail investor attention and stock price crash risk: Evidence from China
Wen, F., Xu, L., Ouyang, G., & Kou, G. (2019) · International Review of Financial Analysis · doi:10.1016/j.irfa.2019.101376 · Cited by 405 · see citing works
Advertising Repetition: A Critical Review of Wearin and Wearout
Pechmann, C., & Stewart, D. W. (1988) · Current Issues and Research in Advertising · doi:10.1080/01633392.1988.10504936 · Cited by 341 · see citing works
Advertising Repetition: A Meta-Analysis on Effective Frequency in Advertising
Schmidt, S., & Eisend, M. (2015) · Journal of Advertising · doi:10.1080/00913367.2015.1018460 · Cited by 308 · see citing works
Cao, X., Qu, Z., Liu, Y., & Hu, J. (2021) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2021.102672 · Cited by 284 · see citing works
Wolfolds, S. E., & Siegel, J. I. (2018) · Strategic Management Journal · doi:10.1002/smj.2995 · Cited by 278 · see citing works
Internet searching and stock price crash risk: Evidence from a quasi-natural experiment
Xu, Y., Xuan, Y., & Zheng, G. (2021) · Journal of Financial Economics · doi:10.1016/j.jfineco.2021.03.003 · Cited by 270 · see citing works
Song, S., Zhao, Y. C., Yao, X., Ba, Z., & Zhu, Q. (2021) · Internet Research · doi:10.1108/intr-10-2020-0593 · Cited by 248 · see citing works
Scherr, S., & Wang, K. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106893 · Cited by 230 · see citing works
Meng, K. S., & Leung, L. (2021) · Telecommunications Policy · doi:10.1016/j.telpol.2021.102172 · Cited by 224 · see citing works
Xiao, L., Li, X., & Zhang, Y. (2023) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2022.103170 · Cited by 214 · see citing works
Content marketing in e-commerce platforms in the internet celebrity economy
Geng, R., Wang, S., Chen, X., Song, D., & Yu, J. (2020) · Industrial Management & Data Systems · doi:10.1108/imds-05-2019-0270 · Cited by 205 · see citing works
Examining gifting behavior on live streaming platforms: An identity-based motivation model
Li, R., Lu, Y., Ma, J., & Wang, W. (2020) · Information & Management · doi:10.1016/j.im.2020.103406 · Cited by 173 · see citing works
Mega or macro social media influencers: Who endorses brands better?
Tiago, M. T. B., Santiago, J., & Tiago, F. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.113606 · Cited by 166 · see citing works
A New Livestream Retail Analytics Framework to Assess the Sales Impact of Emotional Displays
Bharadwaj, N., Ballings, M., Naik, P., Moore, M., & Arat, M. (2021) · Journal of Marketing · doi:10.1177/00222429211013042 · Cited by 163 · see citing works
Wang, X., Lin, X., & Spencer, M. K. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.11.010 · Cited by 150 · see citing works
Consumer Evaluations of Sale Prices: Role of the Subtraction Principle
Biswas, A., Bhowmick, S., Guha, A., & Grewal, D. (2013) · Journal of Marketing · doi:10.1509/jm.12.0052 · Cited by 126 · see citing works
Ge, J., Sui, Y., Zhou, X., & Li, G. (2021) · International Journal of Advertising · doi:10.1080/02650487.2020.1848986 · Cited by 118 · see citing works
Advertising Wearout: An Experimental Analysis
Craig, C. S., Sternthal, B., & Leavitt, C. (1976) · Journal of Marketing Research · doi:10.1177/002224377601300406 · Cited by 116 · see citing works
Jang, W. (., Kim, J. (., Kim, S., & Chun, J. W. (2021) · Current Issues in Tourism · doi:10.1080/13683500.2020.1845126 · Cited by 116 · see citing works
Celebrity endorsements in destination marketing: A three country investigation
Roy, S., Dryl, W., & Gil, L. D. A. (2020) · Tourism Management · doi:10.1016/j.tourman.2020.104213 · Cited by 94 · see citing works
An Empirical Analysis of Seller Advertising Strategies in an Online Marketplace
Sun, H., Fan, M., & Tan, Y. (2016) · Information Systems Research · doi:10.1287/isre.2019.0874 · Cited by 93 · see citing works
A customer-focused approach to improve celebrity endorser effectiveness
Carlson, B. D., Donavan, D. T., Deitz, G. D., Bauer, B., & Lala, V. (2019) · Journal of Business Research · doi:10.1016/j.jbusres.2019.11.048 · Cited by 86 · see citing works
The effects of creativity on advertising wear-in and wear-out
Chen, J., Yang, X., & Smith, R. E. (2014) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-014-0414-5 · Cited by 82 · see citing works
An Empirical Analysis of the Impact of Promotional Discounts on Store Performance
Gauri, D. K., Ratchford, B. T., Pancras, J., & Talukdar, D. (2017) · Journal of Retailing · doi:10.1016/j.jretai.2017.06.001 · Cited by 77 · see citing works
Seller marketing capability, brand reputation, and consumer journeys on e-commerce platforms
Mu, J., & Zhang, J. Z. (2021) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-021-00773-3 · Cited by 70 · see citing works
Chae, I., Bruno, H. A., & Feinberg, F. M. (2018) · Journal of Marketing Research · doi:10.1177/0022243718820587 · Cited by 66 · see citing works
Segmented Switchers and Retailer Pricing Strategies
Koçaş, C., & Bohlmann, J. D. (2008) · Journal of Marketing · doi:10.1509/jmkg.72.3.124 · Cited by 62 · see citing works
Local experiences on Instagram: Social media data as source of evidence for experience design.
Gon, M. (2020) · Journal of Destination Marketing & Management · doi:10.1016/j.jdmm.2020.100435 · Cited by 62 · see citing works
The perception of discount sales promotions – A utilitarian and hedonic perspective
Jee, T. W. (2021) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2021.102745 · Cited by 55 · see citing works
A social endorsing mechanism for target advertisement diffusion
Lin, L.-F., Li, Y.-M., & Wu, W.-H. (2015) · Information & Management · doi:10.1016/j.im.2015.07.004 · Cited by 47 · see citing works
The Effects of Discount Location and Frame on Consumers’ Price Estimates
DelVecchio, D. S., Lakshmanan, A., & Krishnan, H. S. (2009) · Journal of Retailing · doi:10.1016/j.jretai.2009.05.010 · Cited by 47 · see citing works
Product Engagement and Identity Signaling: The Role of Likes in Social Commerce for Fashion Products
Xu, P., & De, L. (2017) · Information & Management · doi:10.1016/j.im.2018.04.001 · Cited by 47 · see citing works
An examination of antecedents of conversion rates of e-commerce retailers
Gudigantala, N., Bicen, P., & Eom, M. T. (2016) · Management Research Review · doi:10.1108/mrr-05-2014-0112 · Cited by 44 · see citing works
Zhao, Z., Wang, J., Sun, H.-D., Liu, Y., Fan, Z., & Xuan, F.-H. (2020) · IEEE Access · doi:10.1109/access.2019.2963047 · Cited by 41 · see citing works
Tempting Fate: Social Media Posts, Unfollowing, and Long-Term Sales
Wang, S. A., Greenwood, B. N., & Pavlou, P. A. (2020) · MIS Quarterly · doi:10.25300/misq/2020/15510 · Cited by 35 · see citing works
Davies, M. A. P., & Prince, M. (1999) · Journal of Advertising · doi:10.1080/00913367.1999.10673597 · Cited by 32 · see citing works
August, T., Dao, D., & Shin, H. (2015) · Marketing Science · doi:10.1287/mksc.2015.0936 · Cited by 28 · see citing works
Zhang, Z., Zhang, Z., & Chen, P.-Y. (2021) · MIS Quarterly · doi:10.25300/misq/2021/14312 · Cited by 28 · see citing works
Who Benefits from Multiple Brand Celebrity Endorsements? An Experimental Investigation
Chen, A. C., Chang, R. Y.-H., Besherat, A., et al. (2013) · Psychology and Marketing · doi:10.1002/mar.20650 · Cited by 27 · see citing works
Aggregate Social Discount Rate Derived from Individual Discount Rates
Reinschmidt, K. F. (2002) · Management Science · doi:10.1287/mnsc.48.2.307.259 · Cited by 22 · see citing works
Celebrity endorsement and stock market return
Prentice, C., & Zhang, L. (2017) · Marketing Intelligence & Planning · doi:10.1108/mip-10-2016-0197 · Cited by 17 · see citing works
Analyzing E-Commerce Websites: A Quali-Quantitive Approach for the User Perceived Web Quality (UPWQ)
Fatta, D. D., Musotto, R., & Vesperi, W. (2016) · International Journal of Marketing Studies · doi:10.5539/ijms.v8n6p33 · Cited by 15 · see citing works
Analysis of Short Video Marketing Strategy under the Background of Social E-commerce
Liu, Q. (2021) · International Conference on E-Commerce and Internet Technology (ECIT) · doi:10.1109/ecit52743.2021.00012 · Cited by 14 · see citing works
Chen, C. (2020) · NC Digital Online Collection of Knowledge and Scholarship (The University of North Carolina at Greensboro) · Cited by 13 · see citing works
Repetition of Educational AIDS Advertising Affects Attitudes
Schindler, S., Reinhard, M.-A., & Stahlberg, D. (2011) · Psychological Reports · doi:10.2466/01.13.pr0.108.3.693-698 · Cited by 8 · see citing works
Analysis of the Realization of Economic Value by the KOL Marketing Model
Song, C., Zhang, L., & Lin, S. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-981-33-4572-0_135 · Cited by 8 · see citing works
Understanding the “Holiday Effect” in Online Restaurant Ratings
Deng, L., Xu, D., & Ye, Q. (2021) · Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences · doi:10.24251/hicss.2021.508 · Cited by 2 · see citing works
Self-citationFatta, D. D., & Nania, I. (2018) · Springer proceedings in business and economics · doi:10.1007/978-3-319-66036-3_10
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Research works printed but not linked: 1
- 2019, Body/emotions of internet celebrities in the Society 4.0 in China, Debats-Revista De Cultura Poder I Societat, 133, 117
Cited by
Still being checked.
- Authors
- Yuan, L., Shi, Y., Xia, H., & Ye, Q.
- Affiliations
- Harbin Institute of Technology (CN)
- University of Science and Technology of China (CN)
- Venue
- Industrial Management & Data Systems
- Publisher
- Emerald
- Published
- 2025-02-28
- Volume
- 125
- Issue
- 4
- Pages
- 1573-1600
- ISSN
- 0263-5577 (ISSN-L)
- 1758-5783
- OpenAlex
- W4407998124
- Semantic Scholar
- 85ac16b0827869b58b62c8b00836bcd4944e3a8a
- Cited by
- 7
- References
- 69
- Citations by year
- 2026: 7
- FWCI
- 12.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Industrial Management & Data Systems (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
- Social Sciences › Business, Management and Accounting › Marketing › Marketing and Advertising Strategies
- Keywords
- short video advertising, influencer endorsement, discounts, Douyin, TikTok, purchase behavior, inverted U-shaped relationship, repetition effects, diffusion effects, social commerce
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