Wear in or wear out: how consumers respond to repetitive influencer marketing
Abstract
Purpose: Endorsement marketing has been widely used to generate consumer attention, interest and purchase decisions among targeted audiences. Internet celebrities who become famous on the Internet are dependent on strategic intimacy to appeal to their followers. Our study aims to examine how multiple exposures to Internet celebrity endorsements influence consumers’ click and purchase decisions in the context of influencer marketing. Design/methodology/approach: Based on a unique and representative dataset, the authors first model consumers’ choices for clicks and purchases with two panel fixed-effect logit models linking clicks and purchases with the frequency of exposure to Internet celebrity endorsement. To further control the endogeneity produced by the intercorrelation between the click and purchase models, the authors also adopt the two-stage Heckman probit structure to jointly estimate the two models using Maximum Likelihood Estimation. Robustness checks confirm the effectiveness of the models. Findings: The results suggest that Internet celebrity endorsement plays a significant role in bringing referral traffic to e-commerce sites but is less helpful in affecting conversion to sales. The impact of repetitive Internet celebrity endorsements on consumers’ click decisions is U-shaped, but the role of Internet celebrities as online retailers will “shape-flip” this relationship to a negative linear relation. Originality/value: Our study is the first to investigate the repetitive exposure effect of Internet celebrity endorsement. The results show a contradictory pattern with a wear-out effect of repetition in the advertising literature. This is the first study to show how the endorsing self, which is a common business model in influencer marketing, moderates the effectiveness of influencer marketing.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Cites
I tweet honestly, I tweet passionately: Twitter users, context collapse, and the imagined audience
Marwick, A. E., & boyd, D. (2011) · New Media & Society · doi:10.1177/1461444810365313 · Cited by 4,612 · see citing works
Mass Communication and Para-Social Interaction
Horton, D., & Richard Wohl, R. (1956) · Psychiatry · doi:10.1080/00332747.1956.11023049 · Cited by 4,380 · see citing works
Ohanian, R. (1990) · Journal of Advertising · doi:10.1080/00913367.1990.10673191 · Cited by 4,043 · see citing works
Who is the Celebrity Endorser? Cultural Foundations of the Endorsement Process
McCracken, G. (1989) · Journal of Consumer Research · doi:10.1086/209217 · Cited by 3,196 · see citing works
Haans, R. F. J., Pieters, C., & He, Z. (2015) · Strategic Management Journal · doi:10.1002/smj.2399 · Cited by 2,445 · see citing works
Zhu, F., & Zhang, X. (2010) · Journal of Marketing · doi:10.1509/jmkg.74.2.133 · Cited by 2,372 · see citing works
The Persuasiveness of Source Credibility: A Critical Review of Five Decades' Evidence
Pornpitakpan, C. (2004) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.2004.tb02547.x · Cited by 2,205 · see citing works
Djafarova, E., & Rushworth, C. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.11.009 · Cited by 2,077 · see citing works
Defining Identification: A Theoretical Look at the Identification of Audiences With Media Characters
Cohen, J. (2001) · Mass Communication and Society · doi:10.1207/s15327825mcs0403_01 · Cited by 1,928 · see citing works
Social media marketing efforts of luxury brands: Influence on brand equity and consumer behavior
Godey, B., Manthiou, A., Pederzoli, D., Rokka, J., Aiello, G., Donvito, R., & Singh, R. K. (2016) · Journal of Business Research · doi:10.1016/j.jbusres.2016.04.181 · Cited by 1,664 · see citing works
Sokolova, K., & Kefi, H. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.01.011 · Cited by 1,650 · see citing works
The Two-Step Flow of Communication: An Up-To-Date Report on an Hypothesis
Katz, E. (1957) · Public Opinion Quarterly · doi:10.1086/266687 · Cited by 1,553 · see citing works
A Framework for Conceptual Contributions in Marketing
MacInnis, D. J. (2011) · Journal of Marketing · doi:10.1509/jmkg.75.4.136 · Cited by 1,547 · see citing works
Authenticity under threat: When social media influencers need to go beyond self-presentation
Audrezet, A., de Kerviler, G., & Guidry Moulard, J. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2018.07.008 · Cited by 1,452 · see citing works
How advertising works: what do we really know?
Vakratsas, D., & Ambler, T. (1999) · Journal of Marketing · doi:10.1177/002224299906300103 · Cited by 1,436 · see citing works
Novelty, complexity, and hedonic value
Berlyne, D. E. (1970) · Perception & Psychophysics · doi:10.3758/bf03212593 · Cited by 1,434 · see citing works
Schouten, A. P., Janssen, L., & Verspaget, M. (2020) · International Journal of Advertising · doi:10.1080/02650487.2019.1634898 · Cited by 1,422 · see citing works
Vrontis, D., Makrides, A., Christofi, M., & Thrassou, A. (2021) · International Journal of Consumer Studies · doi:10.1111/ijcs.12647 · Cited by 1,364 · see citing works
YouTube vloggers' influence on consumer luxury brand perceptions and intentions
Lee, J. E., & Watkins, B. A. (2016) · Journal of Business Research · doi:10.1016/j.jbusres.2016.04.171 · Cited by 1,107 · see citing works
Learning influence probabilities in social networks
Goyal, A. K., Bonchi, F., & Lakshmanan, L. V. S. (2010) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/1718487.1718518 · Cited by 1,034 · see citing works
Labrecque, L. I. (2014) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2013.12.003 · Cited by 971 · 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
Hudders, L., Jans, S. D., & Veirman, M. D. (2020) · International Journal of Advertising · doi:10.1080/02650487.2020.1836925 · Cited by 819 · see citing works
Effects of message repetition and position on cognitive response, recall, and persuasion.
Cacioppo, J. T., & Petty, R. E. (1979) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.37.1.97 · Cited by 813 · see citing works
Hughes, C., Swaminathan, V., & Brooks, G. (2019) · Journal of Marketing · doi:10.1177/0022242919854374 · Cited by 789 · see citing works
Walther, J. B., Van Der Heide, B., Kim, S.-Y., Westerman, D., & Tong, S. T. (2008) · Human Communication Research · doi:10.1111/j.1468-2958.2007.00312.x · Cited by 769 · see citing works
DiPrete, T. A., & Gangl, M. (2004) · Sociological Methodology · doi:10.1111/j.0081-1750.2004.00154.x · Cited by 734 · see citing works
Reinikainen, H., Munnukka, J., Maity, D., & Luoma-aho, V. (2020) · Journal of Marketing Management · doi:10.1080/0267257x.2019.1708781 · Cited by 671 · 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
Modeling the Clickstream: Implications for Web-Based Advertising Efforts
Chatterjee, P., Hoffman, D., & Novak, T. (2003) · Marketing Science · doi:10.1287/mksc.22.4.520.24906 · Cited by 544 · see citing works
Chapter 28 The Economic Analysis of Advertising
Bagwell, K. W. (2007) · Handbook of Industrial Organization · doi:10.1016/s1573-448x(06)03028-7 · Cited by 536 · see citing works
The Megaphone Effect: Taste and Audience in Fashion Blogging
McQuarrie, E., Miller, J., & Phillips, B. J. (2013) · Journal of Consumer Research · doi:10.1086/669042 · Cited by 526 · see citing works
The effects of the standardized instagram disclosure for micro- and meso-influencers
Boerman, S. C. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.09.015 · Cited by 492 · see citing works
Enke, N., & Borchers, N. S. (2019) · International Journal of Strategic Communication · doi:10.1080/1553118x.2019.1620234 · Cited by 488 · see citing works
Self-Generated Versus Other-Generated Statements and Impressions in Computer-Mediated Communication
Walther, J. B., Heide, B. L. V. D., Hamel, L. M., & Shulman, H. C. (2009) · Communication Research · doi:10.1177/0093650208330251 · Cited by 465 · see citing works
Reconsidering Advertising Literacy as a Defense Against Advertising Effects
Rozendaal, E., Lapierre, M. A., van Reijmersdal, E. A., & Buijzen, M. (2011) · Media Psychology · doi:10.1080/15213269.2011.620540 · Cited by 405 · see citing works
Using online opinion leaders to promote the hedonic and utilitarian value of products and services
Lin, H., Bruning, P. F., & Swarna, H. (2018) · Business Horizons · doi:10.1016/j.bushor.2018.01.010 · Cited by 403 · see citing works
Jin, S. A., & Ryu, E. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102121 · Cited by 384 · see citing works
The Effect of Influence Type and Performance Outcomes on Attitude toward the Influencer
Scheer, L. K., & Stern, L. W. (1992) · Journal of Marketing Research · doi:10.1177/002224379202900111 · Cited by 353 · see citing works
Nisbet, M. C., & Kotcher, J. (2009) · Science Communication · doi:10.1177/1075547008328797 · Cited by 346 · 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
Utz, S. (2010) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2010.01522.x · Cited by 336 · see citing works
Advertising Repetition as a Signal of Quality: If It's Advertised So Much, Something Must Be Wrong
Kirmani, A. (1997) · Journal of Advertising · doi:10.1080/00913367.1997.10673530 · Cited by 320 · see citing works
Li, F., & DU, T. C.-T. (2011) · Decision Support Systems · doi:10.1016/j.dss.2010.12.007 · Cited by 310 · 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
Casaló, L. V., & Escario, J. (2017) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2017.11.237 · Cited by 302 · see citing works
Television Commercial Wearout: An Information Processing View
Calder, B., & Sternthal, B. (1980) · Journal of Marketing Research · doi:10.1177/002224378001700202 · Cited by 279 · see citing works
Understanding followers’ stickiness to digital influencers: The effect of psychological responses
Hu, L., Min, Q., Han, S., & Liu, Z. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102169 · Cited by 270 · see citing works
“Thanks for watching”. The effectiveness of YouTube vlogendorsements
Munnukka, J., Maity, D., Reinikainen, H., & Luoma‐aho, V. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.12.014 · Cited by 266 · see citing works
Trivedi, J. P., & Sama, R. (2019) · Journal of Internet Commerce · doi:10.1080/15332861.2019.1700741 · Cited by 262 · see citing works
Hwang, Y., & Jeong, S. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.04.026 · Cited by 260 · see citing works
The different roles of product originality and usefulness in generating word-of-mouth
Moldovan, S., Goldenberg, J., & Chattopadhyay, A. (2011) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2010.11.003 · Cited by 236 · see citing works
Hardy, B. W., & Scheufele, D. A. (2005) · Journal of Communication · doi:10.1111/j.1460-2466.2005.tb02659.x · Cited by 232 · see citing works
Lou, C., Tan, S.-S., & Chen, X. (2019) · Journal of Interactive Advertising · doi:10.1080/15252019.2019.1667928 · Cited by 231 · see citing works
Self-citationWan, J., Lu, Y., Wang, B., & Zhao, L. (2016) · Information & Management · doi:10.1016/j.im.2016.12.007 · Cited by 223 · see citing works
Campbell, A., Fishel, S. B., Bowman, N., et al. (2013) · Reproductive BioMedicine Online · doi:10.1016/j.rbmo.2013.04.013 · Cited by 208 · 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
Self-citationTelevision Commercial Wearout: An Information Processing View
Calder, B. J., & Sternthal, B. (1980) · Journal of Marketing Research · doi:10.2307/3150928 · Cited by 202 · see citing works
Chapter 18 The Media and Advertising: A Tale of Two-Sided Markets
Anderson, S. P., & Gabszewicz, J. J. (2006) · Handbook of the economics of art and culture · doi:10.1016/s1574-0676(06)01018-0 · Cited by 197 · see citing works
Stubb, C., & Colliander, J. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.04.024 · Cited by 188 · see citing works
Cox, D. S., & Cox, A. D. (1988) · Journal of Consumer Research · doi:10.1086/209149 · Cited by 169 · see citing works
Effective entrepreneurial marketing on Facebook – A longitudinal study
Fink, M., Koller, M., Gartner, J., Floh, A., & Harms, R. (2018) · Journal of Business Research · doi:10.1016/j.jbusres.2018.10.005 · Cited by 169 · see citing works
Mallipeddi, R. R., Kumar, S., Sriskandarajah, C., & Zhu, Y. (2018) · Management Science · doi:10.1287/mnsc.2020.3899 · Cited by 168 · see citing works
Pentina, I., Bailey, A. A., & Zhang, L. (2015) · Journal of Marketing Communications · doi:10.1080/13527266.2015.1005115 · Cited by 133 · see citing works
From two‐step flow to the Internet: The changing array of sources for genetics information seeking
Case, D. O., Johnson, J. D., Andrews, J. E., et al. (2004) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.20000 · Cited by 128 · see citing works
Signalling Effects of Vlogger Popularity on Online Consumers
Hill, S. R., Troshani, I., & Chandrasekar, D. (2020) · Journal of Computer Information Systems · doi:10.1080/08874417.2017.1400929 · Cited by 127 · see citing works
The Effects of Advertising on High and Low Loyalty Consumer Segments
Raj, S. P. (1982) · Journal of Consumer Research · doi:10.1086/208898 · Cited by 120 · see citing works
Nysveen, H., & Pedersen, P. E. (2003) · Decision Support Systems · doi:10.1016/s0167-9236(02)00212-9 · Cited by 119 · see citing works
Why Are Users Banner-Blind? The Impact of Navigation Style on the Perception of Web Banners
Pagendarm, M., & Schaumburg, H. (2006) · Texas Digital Library (University of Texas) · Cited by 116 · see citing works
Ma, N., & Liu, Y. (2013) · Expert Systems with Applications · doi:10.1016/j.eswa.2013.08.033 · Cited by 116 · see citing works
Repetition in Media Models: A Laboratory Technique
Ray, M. L., & Sawyer, A. G. (1971) · Journal of Marketing Research · doi:10.1177/002224377100800102 · Cited by 116 · see citing works
van Reijmersdal, E. A., Lammers, N. M., Rozendaal, E., & Buijzen, M. (2015) · International Journal of Advertising · doi:10.1080/02650487.2014.993795 · Cited by 106 · see citing works
Yang, X., Cheng, Z., Liang, E., & Wu, Y. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.01.005 · Cited by 100 · see citing works
Stars in social media: new light through old windows?
Gaenssle, S., & Budzinski, O. (2020) · Journal of Media Business Studies · doi:10.1080/16522354.2020.1738694 · Cited by 100 · see citing works
Professionalizing and Profiting: The Rise of Intermediaries in the Social Media Influencer Industry
Stoldt, R., Wellman, M. L., Ekdale, B., & Tully, M. (2019) · Social Media + Society · doi:10.1177/2056305119832587 · Cited by 98 · see citing works
“Celebrity 2.0 and beyond!” Effects of Facebook profile sources on social networking advertising
Jin, S. A. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.10.033 · Cited by 93 · see citing works
Opinion leaders as a segment for marketing communications
Chaney, I. M. (2001) · Marketing Intelligence & Planning · doi:10.1108/eum0000000005647 · Cited by 68 · see citing works
Singh, J., Crisafulli, B., & Quamina, L. T. (2019) · Journal of Business Research · doi:10.1016/j.jbusres.2019.01.014 · Cited by 64 · see citing works
Optimal Scheduling and Placement of Internet Banner Advertisements
Kumar, S., Dawande, M., & Mookerjee, V. S. (2007) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2007.190640 · Cited by 63 · see citing works
Opinion leadership in small groups
Moldovan, S., Muller, E., Richter, Y., & Yom‐Tov, E. (2016) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2016.11.004 · Cited by 63 · see citing works
Ease of Message Processing as a Moderator of Repetition Effects in Advertising
Anand, P., & Sternthal, B. (1990) · Journal of Marketing Research · doi:10.1177/002224379002700308 · Cited by 59 · see citing works
Advertising creativity and repetition
Lehnert, K., Till, B., & Carlson, B. D. (2013) · International Journal of Advertising · doi:10.2501/ija-32-2-211-231 · Cited by 45 · see citing works
Ad-induced affect: The effects of forewarning, affect intensity, and prior brand attitude
Lee, S. Y. (2010) · Journal of Marketing Communications · doi:10.1080/13527260902869038 · Cited by 33 · see citing works
Not Just a Fad: Optimal Sequencing in Mobile In-App Advertising
Sun, Z. Y., Dawande, M., Janakiraman, G., et al. (2017) · Information Systems Research · doi:10.1287/isre.2017.0697 · Cited by 30 · see citing works
The Demand For NFL Attendance: A Rational Addiction Model
Spenner, E. L., Fenn, A. J., & Crooker, J. R. (2010) · Journal of Business & Economics Research (JBER) · doi:10.19030/jber.v8i12.777 · Cited by 26 · see citing works
Management and Organizations in the Chinese Context: An Overview
Li, J. T., & Tsui, A. S. Y. (2000) · Palgrave Macmillan UK eBooks · doi:10.1057/9780230511590_2 · Cited by 19 · see citing works
Personality not Included: Why Companies Lose Their Authenticity – And How Great Brands Get It Back
(2010) · Journal of Consumer Marketing · doi:10.1108/07363761011038392 · Cited by 15 · see citing works
Effectiveness of Celebrity Advertisement on Select FMCG – An Empirical Study
Sridevi, J. (2014) · Procedia Economics and Finance · doi:10.1016/s2212-5671(14)00196-8 · Cited by 14 · see citing works
The Determinants of Advertising Repetition Effects
Wells, W. D. (2014) · doi:10.4324/9781315806099-24 · Cited by 9 · see citing works
Flagged first, then by citations
Research works printed but not linked: 10
- 2012, The Image: A Guide to Pseudo-events in America
- 2006, Influencing: Skills and Techniques for Business Success
- 2012, The Social Media Manifesto
- 1953, Communication and Persuasion: Psychological Studies of Opinion Change
- 2013, Status Update: Celebrity, Publicity and Branding in the Social Media Age
- 2012, Return on Influence: The Revolutionary Power of Klout, Social Scoring, and Influence Marketing
- 2008, Camgirls: Celebrity and Community in the Age of Social Networks
- 2013, Microcelebrity and the branded self, A Companion to New Media Dynamics, 11, 346
- 2011, The End of Business as Usual: Rewire the Way You Work to Succeed in the Consumer Revolution
- Walther, J.B. and Parks, M.R. (2002), “Cues filtered out, cues filtered in: computer mediated communication and relationships”, in Knapp, M.L. and Daly, J.A. (Eds), Handbook of Interpersonal Communication, 3rd ed., Sage, Thousand Oaks, CA, pp. 529-563.
Cited by
Sorted by citations
Gao, Y., & Liang, J. (2025) · Sustainability · doi:10.3390/su17072789 · Cited by 57 · see citing works
- Authors
- Geng, R., Chen, X., & Wang, S.
- Affiliations
- Xidian University (CN)
- Zhejiang University (CN)
- Hangzhou Normal University (CN)
- Venue
- Internet Research
- Publisher
- Emerald
- Published
- 2023-04-17
- Volume
- 34
- Issue
- 3
- Pages
- 810-848
- ISSN
- 1066-2243 (ISSN-L)
- OpenAlex
- W4365814411
- Semantic Scholar
- 13a60e8c733578cda8040c546dfbd96007c20884
- Cited by
- 34
- References
- 89
- Citations by year
- 2026: 14 · 2025: 10 · 2024: 10
- FWCI
- 14.86
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Internet Research (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Social Sciences › Business, Management and Accounting › Marketing › Marketing and Advertising Strategies
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
- Keywords
- influencer marketing, internet celebrities, purchase decision, conversion, referral traffic, e-commerce
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review