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Optimizing Social Media Promotion Strategy to Increase Customer Retention Rate (CRR) with GKG Customer Engagement
Corresponding Author(s) : Yahya Nur Ifriza
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control,
Vol. 9, No. 4, November 2024
Abstract
In the digital age, businesses are increasingly relying on social media platforms to engage with their customers and foster brand loyalty. This paper presents a comprehensive study aimed at optimizing social media promotion strategies to enhance Customer Retention Rate (CRR) while utilizing the GKG (Get Keep Growth) Customer Engagement framework. By examining the interplay between social media promotion tactics and customer engagement metrics, we investigate how businesses can leverage data-driven insights to improve customer retention. Our research showcases the importance of tailoring social media campaigns to individual customer preferences and behavior, ultimately leading to increased customer satisfaction and loyalty. The results of the analysis of the development of the Customer Retention Rate graph were produced on FMIPA social media with an average CRR of 71% in the base case. Through a combination of data analysis and case studies, we provide actionable recommendations for businesses seeking to maximize the effectiveness of their social media promotion efforts and elevate their CRR with GKG customer engagement.
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- K. Y. Lin and T. K. Huang, “Shopping in the digital world: How augmented reality mobile applications trigger customer engagement,” Technol Soc, vol. 77, Jun. 2024. https://doi.org/10.1016/j.techsoc.2024.102540
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References
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I. Khan, “Customer engagement outcomes in mobile applications: Self-congruence as a moderator,” Journal of Retailing and Consumer Services, vol. 75, Nov. 2023. https://doi.org/10.1016/j.jretconser.2023.103497
B. Taheri, A. Yousaf, M. Gannon, and A. Mishra, “e-commerce website customer engagement: Delineating the role of UTAUT, vividness, and compulsion,” Journal of Retailing and Consumer Services, vol. 79, Jul. 2024. https://doi.org/10.1016/j.jretconser.2024.103835
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Y. Yan, H. Chen, B. Shao, and Y. Lei, “How IT affordances influence customer engagement in live streaming commerce? A dual-stage analysis of PLS-SEM and fsQCA,” Journal of Retailing and Consumer Services, vol. 74, Sep. 2023. https://doi.org/10.1016/j.jretconser.2023.103390
K. Kumar, V. Rama Krishna, M. Govindaraj, V. Pawar, S. Sathyakala, and R. Viswanathan, “Characteristics determining customer’s preferences for OTT video streaming: A multivariate analysis,” Entertain Comput, vol. 52, Jan. 2025. https://doi.org/10.1016/j.entcom.2024.100746
Y. Ortakci and H. Seker, “Optimising customer retention: An AI-driven personalised pricing approach,” Comput Ind Eng, vol. 188, Feb. 2024. https://doi.org/10.1016/j.cie.2024.109920
C. C. Yin, H. C. Chiu, Y. C. Hsieh, and C. Y. Kuo, “How to retain customers in omnichannel retailing: Considering the roles of brand experience and purchase behavior,” Journal of Retailing and Consumer Services, vol. 69, Nov. 2022. https://doi.org/10.1016/j.jretconser.2022.103070
L. Kim and S. F. Yeo, “How stress and satisfaction influence customer service quality in banking industry,” Heliyon, vol. 10, no. 11, Jun. 2024. https://doi.org/10.1016/j.heliyon.2024.e32604
V. Pereira, B. Laker, U. Bamel, G. D. Sharma, and H. Paul, “Customer engagement strategies within family businesses in emerging economies: A multi-method study,” J Bus Res, vol. 174, Mar. 2024. https://doi.org/10.1016/j.jbusres.2024.114508
R. Thangeda, N. Kumar, and R. Majhi, “A neural network-based predictive decision model for customer retention in the telecommunication sector,” Technol Forecast Soc Change, vol. 202, May 2024. https://doi.org/10.1016/j.techfore.2024.123250
S. Chou, C. W. Chen, and M. Wong, “When social media meets low-cost airlines: Will customer engagement increase customer loyalty?,” Research in Transportation Business and Management, vol. 47, Mar. 2023. https://doi.org/10.1016/j.rtbm.2023.100945
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