Optimalisasi Fitur Instagram untuk Meningkatkan Kinerja Engagement dan Retensi Pengguna
Keywords:
Instagram, Engagement, User retention, Interactive features, PlatformAbstract
Instagram has become one of the most popular social media platforms with millions of active users every day. Increasing user engagement and retention is a challenge faced by many companies using this platform. This research aims to identify and optimize Instagram features that can improve user engagement and retention performance. This research adopts a quantitative approach to analyze Instagram usage. Data was collected through an online survey involving respondents from various demographic groups. Statistical analysis was carried out to identify the influence of Instagram features on user engagement and retention. A/B experiments are also conducted to test the effectiveness of certain feature changes in improving platform performance. The research results show that interactive features such as Stories and IGTV have a significant impact on increasing user engagement and retention. Optimizing interactive features on Instagram can substantially improve user engagement and retention performance. This research makes an important contribution in understanding the factors that influence user engagement and retention on social media platforms, especially Instagram, and provides practical recommendations for social media application developers
References
L. V Casaló, C. Flavián, and S. Ibáñez-Sánchez, “Influencers on Instagram: Antecedents and consequences of opinion leadership,” J. Bus. Res., vol. 117, pp. 510–519, 2020, doi: https://doi.org/10.1016/j.jbusres.2018.07.005.
E. Bigne, L. Andreu, C. Perez, and C. Ruiz, “Brand love is all around: loyalty behaviour, active and passive social media users,” Curr. Issues Tour., vol. 23, no. 13, pp. 1613–1630, Jul. 2020, doi: 10.1080/13683500.2019.1631760.
L. Lalicic, A. Huertas, A. Moreno, and M. Jabreel, “Emotional brand communication on Facebook and Twitter: Are DMOs successful?,” J. Destin. Mark. Manag., vol. 16, p. 100350, 2020, doi: https://doi.org/10.1016/j.jdmm.2019.03.004.
J. Phua, S. V. Jin, and J. (Jay) Kim, “Uses and gratifications of social networking sites for bridging and bonding social capital: A comparison of Facebook, Twitter, Instagram, and Snapchat,” Comput. Human Behav., vol. 72, pp. 115–122, 2017, doi: https://doi.org/10.1016/j.chb.2017.02.041.
S. M. Jang and J. K. Kim, “Third person effects of fake news: Fake news regulation and media literacy interventions,” Comput. Human Behav., vol. 80, pp. 295–302, 2018, doi: https://doi.org/10.1016/j.chb.2017.11.034.
A. Heravi, S. Mubarak, and K.-K. Raymond Choo, “Information privacy in online social networks: Uses and gratification perspective,” Comput. Human Behav., vol. 84, pp. 441–459, 2018, doi: https://doi.org/10.1016/j.chb.2018.03.016.
R. Rauniar, G. Rawski, J. Yang, and B. Johnson, “Technology acceptance model (TAM) and social media usage: an empirical study on Facebook,” J. Enterp. Inf. Manag., vol. 27, no. 1, pp. 6–30, Jan. 2014, doi: 10.1108/JEIM-04-2012-0011.
J. A. Smith and S. Ireland, “Towards Equity and Health Literacy,” Heal. Promot. J. Aust., vol. 31, no. 1, pp. 3–4, Jan. 2020, doi: https://doi.org/10.1002/hpja.317.
R. Kohavi, D. Tang, and Y. Xu, Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing. 2020. doi: 10.1017/9781108653985.
L. Townsend and C. Wallace, “Chapter 8: The Ethics of Using Social Media Data in Research: A New Framework,” 2017, pp. 189–207. doi: 10.1108/S2398-601820180000002008.
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