Marketing through Instagram influencers: the impact of number of followers and product divergence on brand attitude
Open accessAbstract
Findings of two experimental studies show that Instagram influencers with high numbers of followers are found more likeable, partly because they are considered more popular. Important, only in limited cases, perceptions of popularity induced by the influencer's number of followers increase the influencer's perceived opinion leadership. However, if the influencer follows very few accounts him-/herself, this can negatively impact popular influencers’ likeability. Also, cooperating with influencers with high numbers of followers might not be the best marketing choice for promoting divergent products, as this decreases the brand's perceived uniqueness and consequently brand attitudes.
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The interactive relationship between influencers and their respective followers encourages the need in the mind of the followers to utilize or follow what the influencer does.
“The interactive relationship between influencers and their respective followers encourages the need in the mind of the followers to utilize or follow what the influencer does (De Veirman et al., 2017;Taillon et al., 2020;X. W. Wang et al., 2019).”
From Welcome to the destination! Social media influencers as cogent determinant of travel decision: A systematic literature review and conceptual framework (2023) · cites this paper as De Veirman et al., 2017
The Introduction describes influencers as trusted tastemakers whose product posts can affect their audience, and the theoretical background discusses social influence on consumption. Neither section establishes that an interactive influencer–follower relationship creates a need for followers to use products or imitate the influencer. (LLM, conf=0.78)
Experimental — accuracy not yet measuredLikeability is an essential quality for the influencer.
“Likeability is an essential quality for the influencer (De Veirman et al., 2017).”
From Welcome to the destination! Social media influencers as cogent determinant of travel decision: A systematic literature review and conceptual framework (2023) · cites this paper as De Veirman et al., 2017
The number of followers is an indicator of popularity and reflects an SMI's network and group size.
“The number of followers is an indicator of popularity and reflects an SMI's network and group size (De Veirman, Cauberghe, and Hudders 2017).”
From Influencer Marketing on Instagram: Empirical Research on Social Media Engagement with Sponsored Posts (2022) · cites this paper as De Veirman, Cauberghe, and Hudders 2017
People in larger groups feel less responsible and addressed and then stand by rather than act.
“Despite macroinfluencers' sponsored posts being exposed to a larger number of users (De Veirman, Cauberghe, and Hudders 2017), people in larger groups feel less responsible and addressed and then stand by rather than act (Darley and Latan e 1968).”
From Influencer Marketing on Instagram: Empirical Research on Social Media Engagement with Sponsored Posts (2022) · cites this paper as De Veirman, Cauberghe, and Hudders 2017
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Cites
Social network sites: definition, history, and scholarship
boyd, D. M., & Ellison, N. B. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00393.x · Cited by 16,251 · see citing works
Social Influence: Compliance and Conformity
Cialdini, R. B., & Goldstein, N. J. (2004) · Annual Review of Psychology · doi:10.1146/annurev.psych.55.090902.142015 · Cited by 6,077 · see citing works
Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004) · Journal of Interactive Marketing · doi:10.1002/dir.10073 · Cited by 5,916 · see citing works
The Persuasion Knowledge Model: How People Cope with Persuasion Attempts
Friestad, M., & Wright, P. (1994) · Journal of Consumer Research · doi:10.1086/209380 · Cited by 3,811 · 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 · cited 1× · see citing works
“Source credibility is driven by perceived expertise and trustworthiness of the communicator and influences consumers’ attitudes (see Pornpitakpan 2004 for a review).”
Measuring Attitude toward the Brand and Purchase Intentions
Spears, N., & Singh, S. N. (2004) · Journal of Current Issues & Research in Advertising · doi:10.1080/10641734.2004.10505164 · Cited by 1,812 · see citing works
Consumers' Need for Uniqueness: Scale Development and Validation
Tian, K. T., Bearden, W. O., & Hunter, G. L. (2001) · Journal of Consumer Research · doi:10.1086/321947 · Cited by 1,791 · cited 1× · see citing works
“Two opposite social needs explain these preferences, i.e. the need for uniqueness and the need for conformity (Tian, Bearden, and Hunter 2001).”
Social and Heuristic Approaches to Credibility Evaluation Online
Metzger, M. J., Flanagin, A. J., & Medders, R. B. (2010) · Journal of Communication · doi:10.1111/j.1460-2466.2010.01488.x · Cited by 1,394 · see citing works
Tong, S. T., Van Der Heide, B., Langwell, L., & Walther, J. B. (2008) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2008.00409.x · Cited by 732 · see citing works
Berger, J., & Heath, C. (2008) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.95.3.593 · Cited by 549 · see citing works
Fame for sale: Efficient detection of fake Twitter followers
Cresci, S., Di Pietro, R., Petrocchi, M., Spognardi, A., & Tesconi, M. (2015) · Decision Support Systems · doi:10.1016/j.dss.2015.09.003 · Cited by 461 · cited 1× · see citing works
“On the contrary, having a lot of followers in combination with only a few accounts following may indicate that the followers are artificially collected or ‘fake’, which is not beneficial either (Cresci et al. 2015).”
Flagged first, then by citations
Research works printed but not linked: 21
- Berger, J., Heath, C. (2007). Where consumers diverge from others: Identity signaling and product domains. Journal of Consumer Research, 34, 121-134.
- Campbell, C., Pitt, L. F., Parent, M., Berthan, P. R. (2011). Understanding consumer conversations around ads in a web 2.0 world. Journal of Advertising, 40(1), 87-102.
- Cha, M., Haddadi, H., Benevenuto, F., Gummadi, K. (2010). Measuring user influence in Twitter: The million follower fallacy. Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media, Washington D.C., USA.
- Chen, Y., Fay, S., Wang, Q. (2011). The Role Of Marketing In Social Media: How Online Consumer Reviews Evolve, Journal of Interactive Marketing, 25(2), 85-94.
- Deval, H., Mantel, S. P., Kardes, F. R., Posavac, S. S. (2013). How naive theories drive opposing inferences from the same information. Journal of Consumer Research, 39, 1185-1201.
- Dimofte, C. V., Forehand, M. R., Deshpandé, R. (2004). Ad schema incongruity as elicitor of ethnic self-awareness and differential advertising response. Journal of Advertising, 32(4), 7-17.
- Flynn, L. R., Goldsmith, R. E., Eastman, J. K. (1996). Opinion leaders and opinion seekers: Two new measurement scales. Journal of the Academy of Marketing Science, 24(2), 137- 147.
- Graham, G. S. (2014). More Than Friends: Popularity on Facebook and its Role in Impression Formation. Journal of Computer-Mediated Communication, 19(3), 358-372.
- Hellofs, L., Jacobson, R. (1999). Market share and customers' perceptions of quality: When can firms grow their way to higher versus lower quality. Journal of Marketing, 63, 16-25.
- Hwang, Y. (2015). Does opinion leadership increase the followers on Twitter. International Journal of Social Science and Humanity, 5(3), 258-264.
- Jin, S. A., Phua J. (2014). Following Celebrities' Tweets About Brands: The Impact of Twitter-Based Electronic Word-of-Mouth on Consumers' Source Credibility Perception, Buying Intention, and Social Identification With Celebrities., Journal of Advertising, 43(2), 181-195.
- Machleit, K. A., Eroglue, S. A., Mantel, S. P. (2000). Perceived retail crowding and shopping satisfaction: What modifies this relationship? Journal of Consumer Psychology, 9 29-42.
- Netemeyer, R. G., Krishnan, B., Pullig, C., Wang, G., Yagci, M., Dean, D., Ricks, J., Wirth, F. (2004). Developing and validating measures of facets of customer-based brand equity. Journal of Business Research, 57, 209-224.
- Ohanian, R. (1990). Construction and validation of a scale to measure celebrity endorsers' perceived expertise, trustworthiness, and attractiveness. Journal of Advertising, 19(3), 39- 52.
- Posavac, S. S., Herzenstein, M., Karde, F. R., Sundaram, S. (2010). Profits and halos: The role of firm profitability information in consumer inference. Journal of Consumer Psychology, 20(3), 327-337.
- Romero, D. M., Galuba, W., Asur, S., Huberman, B. A. (2010). Influence and passivity in social media. Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, Athens, Greece.
- Steinhart, Y., Kamins, M., Mazursky, D., Noy, A. (2014). Effects of product type and contextual cues on eliciting naive theories of popularity and exclusivity. Journal of Consumer Psychology, 24(4), 472-483.
- Utz, S. (2010). Show me your friends and I will tell you what type of person you are: How one's profile, number of friends, and type of friends influence impression formation on social network sites. Journal of Computer-Mediated Communication, 15(2), 314-335.
- Warren, C., Campbell, M. C. (2014). What makes things cool? How autonomy influences perceived coolness. Journal of Consumer Research, 41, 543-563.
- Williams, D. (2006). On and off the 'net: Scales for social capital in an online era. Journal of Computer-mediated Communication, 11, 593-628
- Yoganarasimhan, H. (2012). Impact of Social Network Structure on Content Propagation -A Study using YouTube Data. Quantitative Marketing and Economics, 10(1), 111-150.
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“…expertise, attractiveness, and perceived homophily of the SMIs (Ladhari, Massa, and Skandrani 2020), the size of their social media audience (De Veirman, Cauberghe, and Hudders 2017), and the engagement SMIs generate (Kay, Mulcahy, and Parkinson 2020) play a relevant role for the…”
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- Authors
- De Veirman, M., Cauberghe, V., & Hudders, L.
- Affiliations
- ,
- Venue
- International Journal of Advertising
- Publisher
- Informa UK Limited
- Published
- 2017-07-14
- Volume
- 36
- Issue
- 5
- Pages
- 798-828
- ISSN
- 0265-0487 (ISSN-L)
- 1759-3948
- OpenAlex
- W2461399145
- Cited by
- 2,548
- References
- 11
- Citations by year
- 2026: 323 · 2025: 461 · 2024: 436 · 2023: 368 · 2022: 313 · 2021: 297 · 2020: 210 · 2019: 104 · 2018: 31 · 2017: 2 · 2015: 1 · 2013: 1
- FWCI
- 243.04
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- other-oa
- Locations
- International Journal of Advertising (publishedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion, other-oa)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior in Brand Consumption and Identification
- Social Sciences › Business, Management and Accounting › Marketing › Marketing and Advertising Strategies
- Keywords
- Instagram influencers, influencer marketing, follower count, perceived popularity, likeability, opinion leadership, brand attitude, brand uniqueness, social media marketing
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