New IJM now accepts submissions exclusively via the Editorial Scholar portal — a dedicated submission & review system.
Go to Editorial Scholar →
Associated Management Consultants Pvt. Ltd. | COPE Member · ID: JM07589
Scopus Q3 UGC-CARE ABDC: C |
Indian Journal of Marketing logo

Indian Journal of Marketing

ISSN: 0973-8703 Frequency: Monthly Peer Review: Double-blind Published since: 1968 Language: English
A publication of AMCPL
amcon.co.in
New Delhi, India
Indexed in: Scopus Q3 UGC-CARE Group II ABDC: C Google Scholar J-Gate NAAS NISCAIR Crossref

Original Article

Subscription Original Article

Beyond the Pixels : Psychographic Profiling of Virtual Influencers’ Followers in Social Media

Anand Thakur1Kavita Singla2Kamini Singla3Mohammed Irshad T.4Simran Kaur5Parwinder Kaur6

1 Professor, Head & Dean, School of Management, Central University of Punjab, Bathinda - 151 401, Punjab

2 Research Scholar (UGC-SRF) , School of Management, Central University of Punjab, Bathinda - 151 401, Punjab

3 Research Scholar (UGC-SRF), School of Management, Central University of Punjab, Bathinda - 151 401, Punjab

4 M.Com. Student, School of Management, Central University of Punjab, Bathinda - 151 401, Punjab

5 M.Com. Student, School of Management, Central University of Punjab, Bathinda - 151 401, Punjab

6 M.Com. Student, School of Management, Central University of Punjab, Bathinda - 151 401, Punjab

Volume 55
Issue 3
Pages 52–68
Year 2025
Received: Aug. 10, 2024 Accepted: Feb. 24, 2025 Published: March 15, 2025
Abstract

Purpose: In the evolving landscape of artificial intelligence (AI), virtual influencer (VI) marketing has surged in popularity on social media platforms. The present study delved into the core determinants influencing social media users’ attitudes toward VIs on Instagram. It categorized the respondents based on their psychographic and demographic attributes.Design/Methodology/Approach : The study employed exploratory factor analysis (EFA) to determine the fundamental dimensions of the influencer’s preferred factors and hierarchical and K-Means cluster analysis to classify 182 followers based on the homogeneity of their attributes.

Findings: The EFA findings illuminated four intrinsic dimensions of VIs: (a) attitudinal homophily, (b) aesthetic influence, informativeness, and ad content value, (c) perceived reciprocity, and (d) perceived originality. K-Means clustering classified respondents into two segments: VR enthusiasts and discerning realists.Practical

Implications: The study offered useful strategic implications for VI marketing. Marketers refined their criteria for selecting VIs and designed segment-specific marketing campaigns to cater to the distinct preferences of VR enthusiasts and discerning realists.

Originality: The originality of this study lies in its comprehensive exploration of the evolving domain of VI marketing within the context of AI advancements.

Keywords social media influencer virtual influencer cluster analysis attitudinal homophily perceived reciprocity
How to Cite

Anand Thakur, Kavita Singla, Kamini Singla, Mohammed Irshad T., Simran Kaur, Parwinder Kaur (2025). Beyond the Pixels : Psychographic Profiling of Virtual Influencers’ Followers in Social Media. Indian Journal of Marketing, 55(3), 52–68. https://doi.org/10.17010/ijom/2025/v55/i3/174833

References
  1. Agrawal, C., Duggal, T., Shukla, V., & Dohroo, M. (2023). Analyzing the correlation between social media influencers and customers' intention to buy in the luxury market. Indian Journal of Marketing, 53(9), 28–45. https://doi.org/10.17010/ijom/2023/v53/i9/173140
  2. Ahn, R. J., Cho, S. Y., & Sunny Tsai, W. (2022). Demystifying computer-generated imagery (CGI) influencers: The effect of perceived anthropomorphism and social presence on brand outcomes. Journal of Interactive Advertising, 22(3), 327–335. https://doi.org/10.1080/15252019.2022.2111242
  3. Arora, T., Agarwal, B., & Kumar, A. (2018). A study of millennials's preferences for social media advertising in Delhi NCR. Indian Journal of Marketing, 48(10), 34–51. https://doi.org/10.17010/ijom/2018/V48/I10/132334
  4. Arsenyan, J., & Mirowska, A. (2021). Almost human? A comparative case study on the social media presence of virtual influencers. International Journal of Human-Computer Studies, 155, Article ID 102694. https://doi.org/10.1016/j.ijhcs.2021.102694
  5. Baroroh, D. K., Chu, C. H., & Wang, L. (2021). Systematic literature review on augmented reality in smart manufacturing: Collaboration between human and computational intelligence. Journal of Manufacturing Systems, 61, 696–711. https://doi.org/10.1016/j.jmsy.2020.10.017
  6. Bash, M., Bandyopadhyay, A., Pahari, M. P., & Pahari, S. (2024). The effect of social media influencers on visit intention in the restaurant industry. Indian Journal of Marketing, 54(5), 45–61. https://doi.org/10.17010/ijom/2024/v54/i5/173829
  7. Block, E., & Lovegrove, R. (2021). Discordant storytelling, 'honest fakery,' identity peddling: How uncanny CGI characters are jamming public relations and influencer practices. Public Relations Inquiry, 10(3), 265–293. https://doi.org/10.1177/2046147X211026936
  8. Byun, K. J., & Ahn, S. J. (2023). A systematic review of virtual influencers: Similarities and differences between human and virtual influencers in interactive advertising. Journal of Interactive Advertising, 23(4), 293–306. https://doi.org/10.1080/15252019.2023.2236102
  9. Chiu, C. L., & Ho, H.-C. (2023). Impact of celebrity, micro-celebrity, and virtual influencers on Chinese Gen Z's purchase intention through social media. SAGE Open, 13(1). https://doi.org/10.1177/21582440231164034
  10. da Silva Oliveira, A. B., & Chimenti, P. (2021). “Humanized Robots”: A proposition of categories to understand virtual influencers. Australasian Journal of Information Systems, 25, 1–27. https://doi.org/10.3127/ajis.v25i0.3223
  11. Davlembayeva, D., Chari, S., & Papagiannidis, S. (2025). Virtual influencers in consumer behaviour: A social influence theory perspective. British Journal of Management, 36(1), 202–222. https://doi.org/10.1111/1467-8551.12839
  12. Dixon, S. J. (2024, May 22). Number of Instagram users worldwide from 2020 to 2025. Statista. https://www.statista.com/statistics/183585/instagram-number-of-global-users/
  13. Dondapati, A., & Dehury, R. K. (2024). Virtual vs. human influencers: The battle for consumer hearts and minds. Computers in Human Behavior: Artificial Humans, 2(1), Article ID 100059. https://doi.org/10.1016/j.chbah.2024.100059
  14. Grover, A., & Arora, N. (2024). Effect of parasocial commitment and breakup with a fictional character on purchase intention. Prabandhan: Indian Journal of Management, 17(9), 8–23. https://doi.org/10.17010/pijom/2024/v17i9/173939
  15. Hair Jr., J. F., Black, W. C., Babin, B. J., & Anderson, R. (2009). Multivariate data analysis: A global perspective (7th ed.). Pearson.
  16. Hudders, L., De Jans, S., & De Veirman, M. (2021). The commercialization of social media stars: A literature review and conceptual framework on the strategic use of social media influencers. International Journal of Advertising, 40(3), 327–375. https://doi.org/10.1080/02650487.2020.1836925
  17. Ilicic, J., & Webster, C. M. (2016). Being true to oneself: Investigating celebrity brand authenticity. Psychology & Marketing, 33(6), 410–420. https://doi.org/10.1002/mar.20887
  18. Jhawar, A., Kumar, P., & Varshney, S. (2023). The emergence of virtual influencers: A shift in the influencer marketing paradigm. Young Consumers, 24(4), 468–484. https://doi.org/10.1108/YC-05-2022-1529
  19. Jiang, K., Zheng, J., & Luo, S. (2024). Green power of virtual influencer: The role of virtual influencer image, emotional appeal, and product involvement. Journal of Retailing and Consumer Services, 77, Article ID 103660. https://doi.org/10.1016/j.jretconser.2023.103660
  20. Jin, S. V., Muqaddam, A., & Ryu, E. (2019). Instafamous and social media influencer marketing. Marketing Intelligence & Planning, 37(5), 567–579. https://doi.org/10.1108/MIP-09-2018-0375
  21. Kim, H., & Park, M. (2023). Virtual influencers' attractiveness effect on purchase intention: A moderated mediation model of the product–endorser fit with the brand. Computers in Human Behavior, 143, Article ID 107703. https://doi.org/10.1016/j.chb.2023.107703
  22. Kim, J., Hong, D., & Jun, J. W. (2025). Effects of sensation seeking, creator attractiveness, content novelty, and credibility on branded entertainment. Indian Journal of Marketing, 55(2), 33–52. https://doi.org/10.17010//ijom/2025/v55/i2/174747
  23. Kim, M., & Baek, T. H. (2024). Are virtual influencers friends or foes? Uncovering the perceived creepiness and authenticity of virtual influencers in social media marketing in the United States. International Journal of Human-Computer Interaction, 40(18), 5042–5055. https://doi.org/10.1080/10447318.2023.2233125
  24. Li, H., Lei, Y., Zhou, Q., & Yuan, H. (2023). Can you sense without being human? Comparing virtual and human influencers' endorsement effectiveness. Journal of Retailing and Consumer Services, 75, Article ID 103456. https://doi.org/10.1016/j.jretconser.2023.103456
  25. Li, J., & Ma, Y. (2024). Virtual influencers in advertisements: Examining the role of authenticity and identification. Journal of Interactive Advertising, 24(1), 1–12. https://doi.org/10.1080/15252019.2023.2270478
  26. Lou, C., & Yuan, S. (2019). Influencer marketing: How message value and credibility affect consumer trust of branded content on social media. Journal of Interactive Advertising, 19(1), 58–73. https://doi.org/10.1080/15252019.2018.1533501
  27. Lou, C., Kiew, S. T., Chen, T., Lee, T. Y., Ong, J. E., & Phua, Z. (2023). Authentically fake? How consumers respond to the influence of virtual influencers. Journal of Advertising, 52(4), 540–557. https://doi.org/10.1080/00913367.2022.2149641
  28. Masuda, H., Han, S. H., & Lee, J. (2022). Impacts of influencer attributes on purchase intentions in social media influencer marketing: Mediating roles of characterizations. Technological Forecasting and Social Change, 174, Article ID 121246. https://doi.org/10.1016/j.techfore.2021.121246
  29. McCroskey, J. C., Richmond, V. P., & Daly, J. A. (1975). The development of a measure of perceived homophily in interpersonal communication. Human Communication Research, 1(4), 323–332. https://doi.org/10.1111/j.1468-2958.1975.tb00281.x
  30. Melnychuk, H.-A., Arasli, H., & Nevzat, R. (2024). How to engage and attract virtual influencers' followers: A new non-human approach in the age of influencer marketing. Marketing Intelligence & Planning, 42(3), 393–417. https://doi.org/10.1108/MIP-06-2023-0251
  31. Meng, L., Bie, Y., Yang, M., & Wang, Y. (2025). The effect of human versus virtual influencers: The roles of destination types and self-referencing processes. Tourism Management, 106, Article ID 104978. https://doi.org/10.1016/j.tourman.2024.104978
  32. Mirowska, A., & Arsenyan, J. (2023). Sweet escape: The role of empathy in social media engagement with human versus virtual influencers. International Journal of Human-Computer Studies, 174, Article ID 103008. https://doi.org/10.1016/j.ijhcs.2023.103008
  33. Rao, K. S., & Rao, B. (2019). Examining eWOM credibility - Consumer purchase intention relationship in Facebook: A mediation analysis. Indian Journal of Marketing, 49(8), 7–22. https://doi.org/10.17010/ijom/2019/v49/i8/146169
  34. Sánchez-Fernández, R., & Jiménez-Castillo, D. (2021). How social media influencers affect behavioural intentions towards recommended brands: The role of emotional attachment and information value. Journal of Marketing Management, 37(11–12), 1123–1147. https://doi.org/10.1080/0267257X.2020.1866648
  35. Sands, S., Campbell, C. L., Plangger, K., & Ferraro, C. (2022). Unreal influence: leveraging AI in influencer marketing. European Journal of Marketing, 56(6), 1721–1747. https://doi.org/10.1108/EJM-12-2019-0949
  36. Sathyanarayana, S., Gargesa, S., & Bhavya, N. (2019). The effectiveness of the celebrity advertisement process and its impact on buying intention. Indian Journal of Marketing, 49(3), 50–62. https://doi.org/10.17010/ijom/2019/v49/i3/142146
  37. Semerádová, T., & Weinlich, P. (2022). Emotional, cognitive, and conative response to influencer marketing. Available at SSRN. https://doi.org/10.2139/ssrn.4113052
  38. Shao, Z. (2024). From human to virtual: Unmasking consumer switching intentions to virtual influencers by an integrated fsQCA and NCA method. Journal of Retailing and Consumer Services, 78, Article ID 103715. https://doi.org/10.1016/j.jretconser.2024.103715
  39. Singh, B., & Dagur, A. (2022). Understanding the influence of social media marketing of masstige fashion brands on Generation Z female Indian consumers. Indian Journal of Marketing, 52(5), 8–24. https://doi.org/10.17010/ijom/2022/V52/I5/169414
  40. Statista Research Department. (2024, December 10). Virtual influencers - statistics & facts. Statista. https://www.statista.com/topics/9805/virtual-influencers/#topicOverview
  41. Stein, J.-P., Breves, P. L., & Anders, N. (2024). Parasocial interactions with real and virtual influencers: The role of perceived similarity and human-likeness. New Media & Society, 26(6), 3433–3453. https://doi.org/10.1177/14614448221102900
  42. Tanwar, A. S., Chaudhry, H., & Srivastava, M. K. (2021). Influencer marketing as a tool of digital consumer engagement: A systematic literature review. Indian Journal of Marketing, 51(10), 27–42. https://doi.org/10.17010/ijom/2021/v51/i10/166439
  43. Taruffi, L. (2021). Mind-wandering during personal music listening in everyday life: Music-evoked emotions predict thought valence. International Journal of Environmental Research and Public Health, 18(23), 12321. https://doi.org/10.3390/ijerph182312321
  44. Thakur, A., Singla, K., & Irshad, T. M. (2023). An exploratory study on stimulators in influencer marketing: A critical review on content and audience engagement. In Proceedings of the International Conference on Emerging Trends in Business & Management (ICETBM 2023), Advances in Economics, Business, and Management Research. Atlantis Press. https://doi.org/10.2991/978-94-6463-162-3_15
  45. Thomas, V. L., & Fowler, K. (2021). Close encounters of the AI kind: Use of AI influencers as brand endorsers. Journal of Advertising, 50(1), 11–25. https://doi.org/10.1080/00913367.2020.1810595
  46. Wiedmann, K.-P., & von Mettenheim, W. (2020). The interaction of consumer, endorser, and brand personality in social influencer marketing: An abstract. In S. Wu, F. Pantoja, & N. Krey (eds.), Marketing opportunities and challenges in a changing global marketplace: AMSAC 2019. Developments in Marketing Science: Proceedings of the Academy of Marketing Science (pp. 359–360). Springer. https://doi.org/10.1007/978-3-030-39165-2_142
  47. Xiao, M., Wang, R., & Chan-Olmsted, S. (2018). Factors affecting YouTube influencer marketing credibility: A heuristic-systematic model. Journal of Media Business Studies, 15(3), 188–213. https://doi.org/10.1080/16522354.2018.1501146
  48. Yu, J., Dickinger, A., So, K. K., & Egger, R. (2024). Artificial intelligence-generated virtual influencer: Examining the effects of emotional display on user engagement. Journal of Retailing and Consumer Services, 76, Article ID 103560. https://doi.org/10.1016/j.jretconser.2023.103560
  49. Zhou, S., & Wang, Y. (2022). How negative anthropomorphic message framing and nostalgia enhance pro-environmental behaviors during the COVID-19 pandemic in China: An SEM-NCA approach. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.977381
Editorial Scholar

Submit your Research to IJM

Submit your Manuscript → Author Guidelines