Quick jump to page content
  • Main Navigation
  • Main Content
  • Sidebar

  • Home
  • Current
  • Archives
  • Join As Reviewer
  • Info
  • Announcements
  • Statistics
  • About
    • About the Journal
    • Submissions
    • Editorial Team
    • Privacy Statement
    • Contact
  • Register
  • Login
  • Home
  • Current
  • Archives
  • Join As Reviewer
  • Info
  • Announcements
  • Statistics
  • About
    • About the Journal
    • Submissions
    • Editorial Team
    • Privacy Statement
    • Contact
  1. Home
  2. Archives
  3. Vol. 9, No. 4, November 2024
  4. Articles

Issue

Vol. 9, No. 4, November 2024

Issue Published : Nov 1, 2024
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Optimizing Social Media Promotion Strategy to Increase Customer Retention Rate (CRR) with GKG Customer Engagement

https://doi.org/10.22219/kinetik.v9i4.2016
Yahya Nur Ifriza
Universitas Negeri Semarang
Kholiq Budiman
Universitas Negeri Semarang
Adi Satrio Ardiansyah
Universitas Negeri Semarang

Corresponding Author(s) : Yahya Nur Ifriza

yahyanurifriza@mail.unnes.ac.id

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, Vol. 9, No. 4, November 2024
Article Published : Nov 1, 2024

Share
WA Share on Facebook Share on Twitter Pinterest Email Telegram
  • Abstract
  • Cite
  • References
  • Authors Details

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.

Keywords

Social Media Promotion Customer Retention Rate GKG Customer Engagement
Ifriza, Y. N., Budiman, K. ., & Ardiansyah, A. S. . (2024). Optimizing Social Media Promotion Strategy to Increase Customer Retention Rate (CRR) with GKG Customer Engagement. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 9(4). https://doi.org/10.22219/kinetik.v9i4.2016
  • ACM
  • ACS
  • APA
  • ABNT
  • Chicago
  • Harvard
  • IEEE
  • MLA
  • Turabian
  • Vancouver
Download Citation
Endnote/Zotero/Mendeley (RIS)
BibTeX
References
  1. 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
  2. N. Akhtar, U. I. Siddiqi, R. Gugnani, T. Islam, and R. Attri, “The potency of audiovisual attractiveness and influencer marketing: The road to customer behavioral engagement,” Journal of Retailing and Consumer Services, vol. 79, Jul. 2024. https://doi.org/10.1016/j.jretconser.2024.103807
  3. S. Lamrhari, H. El Ghazi, M. Oubrich, and A. El Faker, “A social CRM analytic framework for improving customer retention, acquisition, and conversion,” Technol Forecast Soc Change, vol. 174, Jan. 2022. https://doi.org/10.1016/j.techfore.2021.121275
  4. Y. Xu, W. Chen, and T. T. Ow, “The effects of social media posts’ characteristics on customer engagement: Evidence from WeChat,” Information and Management, vol. 60, no. 7, Nov. 2023. https://doi.org/10.1016/j.im.2023.103854
  5. M. Maduna, A. Telukdarie, I. Munien, U. Onkonkwo, and A. Vermeulen, “Smart Customer Churn Management System Using Machine Learning,” in Procedia Computer Science, Elsevier B.V., 2024, pp. 552–558. https://doi.org/10.1016/j.procs.2024.05.139
  6. K. Mehmood, P. Kautish, and T. R. Shah, “Embracing digital companions: Unveiling customer engagement with anthropomorphic AI service robots in cross-cultural context,” Journal of Retailing and Consumer Services, vol. 79, Jul. 2024. 10.1016/j.jretconser.2024.103825
  7. S. K. Roy, G. Singh, S. Sadeque, P. Harrigan, and K. Coussement, “Customer engagement with digitalized interactive platforms in retailing,” J Bus Res, vol. 164, Sep. 2023. https://doi.org/10.1016/j.jbusres.2023.114001
  8. X. Luo, J. H. Cheah, L. D. Hollebeek, and X. J. Lim, “Boosting customers’ impulsive buying tendency in live-streaming commerce: The role of customer engagement and deal proneness,” Journal of Retailing and Consumer Services, vol. 77, Mar. 2024. https://doi.org/10.1016/j.jretconser.2023.103644
  9. A. Raza, M. I. Ishaq, A. Khan, R. Ahmad, and N. Haj Salem, “How fashion cewebrity influences customer engagement behavior in emerging economy? Social network influence as moderator,” Journal of Retailing and Consumer Services, vol. 74, Sep. 2023. https://doi.org/10.1016/j.jretconser.2023.103392
  10. X. Chen, S. Guo, J. Xiong, and Z. Ye, “Customer engagement, dependence and loyalty: An empirical study of Chinese customers in multitouch service encounters,” Technol Forecast Soc Change, vol. 197, Dec. 2023. https://doi.org/10.1016/j.techfore.2023.122920
  11. S. K. Wagh, A. A. Andhale, K. S. Wagh, J. R. Pansare, S. P. Ambadekar, and S. H. Gawande, “Customer churn prediction in telecom sector using machine learning techniques,” Results in Control and Optimization, vol. 14, Mar. 2024. https://doi.org/10.1016/j.rico.2023.100342
  12. T. Gattermann-Itschert and U. W. Thonemann, “Proactive customer retention management in a non-contractual B2B setting based on churn prediction with random forests,” Industrial Marketing Management, vol. 107, pp. 134–147, Nov. 2022. https://doi.org/10.1016/j.indmarman.2022.09.023
  13. B. Prabadevi, R. Shalini, and B. R. Kavitha, “Customer churning analysis using machine learning algorithms,” International Journal of Intelligent Networks, vol. 4, pp. 145–154, Jan. 2023. https://doi.org/10.1016/j.ijin.2023.05.005
  14. B. Li, S. Mousa, J. R. R. Reinoso, H. M. Alzoubi, A. Ali, and A. D. Hoang, “The role of technology innovation, customer retention and business continuity on firm performance after post-pandemic era in China’s SMEs,” Econ Anal Policy, vol. 78, pp. 1209–1220, Jun. 2023. https://doi.org/10.1016/j.eap.2023.05.004
  15. S. J, C. Gangadhar, R. K. Arora, P. N. Renjith, J. Bamini, and Y. devidas Chincholkar, “E-commerce customer churn prevention using machine learning-based business intelligence strategy,” Measurement: Sensors, vol. 27, Jun. 2023. https://doi.org/10.1016/j.measen.2023.100728
  16. A. N. Kini, B. Savitha, and I. T. Hawaldar, “Brand loyalty in FinTech services: The role of self-concept, customer engagement behavior and self-brand connection,” Journal of Open Innovation: Technology, Market, and Complexity, vol. 10, no. 1, Mar. 2024. https://doi.org/10.1016/j.joitmc.2024.100240
  17. C. L. Hsu, “Enhancing brand love, customer engagement, brand experience, and repurchase intention: Focusing on the role of gamification in mobile apps,” Decis Support Syst, vol. 174, Nov. 2023. https://doi.org/10.1016/j.dss.2023.114020
  18. S. Bazi, R. Filieri, and M. Gorton, “Social media content aesthetic quality and customer engagement: The mediating role of entertainment and impacts on brand love and loyalty,” J Bus Res, vol. 160, May 2023. https://doi.org/10.1016/j.jbusres.2023.113778
  19. J. (Miracle) Qi, S. Wang, and K. K. Lindsey Hall, “Bridging employee engagement and customer engagement in a service context,” J Bus Res, vol. 160, May 2023. https://doi.org/10.1016/j.jbusres.2023.113803
  20. A. De Caigny, K. W. De Bock, and S. Verboven, “Hybrid black-box classification for customer churn prediction with segmented interpretability analysis,” Decis Support Syst, vol. 181, Jun. 2024. https://doi.org/10.1016/j.dss.2024.114217
  21. A. Aldhamiri, J. Carlson, S. Vilches-Montero, S. M. Rahman, and S. P. Gudergan, “What drives higher active customer engagement in luxury brands’ social media? Measurement and contingencies,” Journal of Retailing and Consumer Services, vol. 79, Jul. 2024. https://doi.org/10.1016/j.jretconser.2024.103804
  22. P. P. Singh, F. I. Anik, R. Senapati, A. Sinha, N. Sakib, and E. Hossain, “Investigating customer churn in banking: A machine learning approach and visualization app for data science and management,” Data Science and Management, vol. 7, no. 1, pp. 7–16, Mar. 2024. https://doi.org/10.1016/j.dsm.2023.09.002
  23. M. A. I. Gazi, A. Al Mamun, A. Al Masud, A. R. bin S. Senathirajah, and T. Rahman, “The relationship between CRM, knowledge management, organization commitment, customer profitability and customer loyalty in telecommunication industry: The mediating role of customer satisfaction and the moderating role of brand image,” Journal of Open Innovation: Technology, Market, and Complexity, vol. 10, no. 1, Mar. 2024. https://doi.org/10.1016/j.joitmc.2024.100227
  24. B. Wu, G. Guo, and P. Luo, “The effect of subscriptions on customer engagement,” J Bus Res, vol. 178, May 2024. https://doi.org/10.1016/j.jbusres.2024.114638
  25. 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
  26. 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
  27. F. F. Gu, F. F. Leung, D. T. Wang, and Y. Tang, “Navigating the Double-Edged Sword: Executive hubris and its impact on customer acquisition and retention,” International Journal of Research in Marketing, Jun. 2024. https://doi.org/10.1016/j.ijresmar.2023.12.002
  28. S. Beltozar-Clemente, O. Iparraguirre-Villanueva, F. Pucuhuayla-Revatta, J. Zapata-Paulini, and M. Cabanillas-Carbonell, “Predicting customer abandonment in recurrent neural networks using short-term memory,” Journal of Open Innovation: Technology, Market, and Complexity, vol. 10, no. 1, Mar. 2024. https://doi.org/10.1016/j.joitmc.2024.100237
  29. A. Salonen, J. Mero, J. Munnukka, M. Zimmer, and H. Karjaluoto, “Digital content marketing on social media along the B2B customer journey: The effect of timely content delivery on customer engagement,” Industrial Marketing Management, vol. 118, pp. 12–26, Apr. 2024. https://doi.org/10.1016/j.indmarman.2024.02.002
  30. B. Hochstein, C. M. Voorhees, A. B. Pratt, D. Rangarajan, D. M. Nagel, and V. Mehrotra, “Customer success management, customer health, and retention in B2B industries,” International Journal of Research in Marketing, vol. 40, no. 4, pp. 912–932, Dec. 2023. https://doi.org/10.1016/j.ijresmar.2023.09.002
  31. I. Piriyakul, S. Kunathikornkit, and R. Piriyakul, “Evaluating brand equity in the hospitality industry: Insights from customer journeys and text mining,” International Journal of Information Management Data Insights, vol. 4, no. 2, Nov. 2024. https://doi.org/10.1016/j.jjimei.2024.100245
  32. P. Jiang, Z. Liu, M. Z. Abedin, J. Wang, W. Yang, and Q. Dong, “Profit-driven weighted classifier with interpretable ability for customer churn prediction,” Omega (United Kingdom), vol. 125, Jun. 2024. https://doi.org/10.1016/j.omega.2024.103034
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. P. Q. Huy, S. N. Shavkatovich, Z. Abdul-Samad, D. K. Agrawal, K. M. Ashifa, and M. Arumugam, “Resource management projects in entrepreneurship and retain customer based on big data analysis and artificial intelligence,” Journal of High Technology Management Research, vol. 34, no. 2, Nov. 2023. https://doi.org/10.1016/j.hitech.2023.100471
  42. H. Li, H. Liu, H. Hailey Shin, and H. Ji, “Impacts of user-generated images in online reviews on customer engagement: A panel data analysis,” Tour Manag, vol. 101, Apr. 2024. https://doi.org/10.1016/j.tourman.2023.104855
  43. Y. E. Tang and M. K. Mantrala, “Incorporating direct customers’ customer needs in a multi-dimensional B2B market segmentation approach,” Industrial Marketing Management, vol. 119, pp. 252–263, May 2024. https://doi.org/10.1016/j.indmarman.2024.04.005
  44. V. Kulikovskaja, M. Hubert, K. G. Grunert, and H. Zhao, “Driving marketing outcomes through social media-based customer engagement,” Journal of Retailing and Consumer Services, vol. 74, Sep. 2023. https://doi.org/10.1016/j.jretconser.2023.103445
  45. Y. Xie, X. Li, E. W. T. Ngai, and W. Ying, “Customer churn prediction using improved balanced random forests,” Expert Syst Appl, vol. 36, no. 3 PART 1, pp. 5445–5449, 2009. https://doi.org/10.1016/j.eswa.2008.06.121
  46. M. Z. Abedin, P. Hajek, T. Sharif, M. S. Satu, and M. I. Khan, “Modelling bank customer behaviour using feature engineering and classification techniques,” Res Int Bus Finance, vol. 65, Apr. 2023. https://doi.org/10.1016/j.ribaf.2023.101913
  47. Q. Zhang, S. K. Ariffin, C. Richardson, and Y. Wang, “Influencing factors of customer loyalty in mobile payment: A consumption value perspective and the role of alternative attractiveness,” Journal of Retailing and Consumer Services, vol. 73, Jul. 2023. https://doi.org/10.1016/j.jretconser.2023.103302
  48. K. Matsuoka, “Effects of revenue management on perceived value, customer satisfaction, and customer loyalty,” J Bus Res, vol. 148, pp. 131–148, Sep. 2022. https://doi.org/10.1016/j.jbusres.2022.04.052
  49. S. Lamrhari, H. El Ghazi, M. Oubrich, and A. El Faker, “A social CRM analytic framework for improving customer retention, acquisition, and conversion,” Technol Forecast Soc Change, vol. 174, Jan. 2022. https://doi.org/10.1016/j.techfore.2021.121275
Read More

References


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

N. Akhtar, U. I. Siddiqi, R. Gugnani, T. Islam, and R. Attri, “The potency of audiovisual attractiveness and influencer marketing: The road to customer behavioral engagement,” Journal of Retailing and Consumer Services, vol. 79, Jul. 2024. https://doi.org/10.1016/j.jretconser.2024.103807

S. Lamrhari, H. El Ghazi, M. Oubrich, and A. El Faker, “A social CRM analytic framework for improving customer retention, acquisition, and conversion,” Technol Forecast Soc Change, vol. 174, Jan. 2022. https://doi.org/10.1016/j.techfore.2021.121275

Y. Xu, W. Chen, and T. T. Ow, “The effects of social media posts’ characteristics on customer engagement: Evidence from WeChat,” Information and Management, vol. 60, no. 7, Nov. 2023. https://doi.org/10.1016/j.im.2023.103854

M. Maduna, A. Telukdarie, I. Munien, U. Onkonkwo, and A. Vermeulen, “Smart Customer Churn Management System Using Machine Learning,” in Procedia Computer Science, Elsevier B.V., 2024, pp. 552–558. https://doi.org/10.1016/j.procs.2024.05.139

K. Mehmood, P. Kautish, and T. R. Shah, “Embracing digital companions: Unveiling customer engagement with anthropomorphic AI service robots in cross-cultural context,” Journal of Retailing and Consumer Services, vol. 79, Jul. 2024. 10.1016/j.jretconser.2024.103825

S. K. Roy, G. Singh, S. Sadeque, P. Harrigan, and K. Coussement, “Customer engagement with digitalized interactive platforms in retailing,” J Bus Res, vol. 164, Sep. 2023. https://doi.org/10.1016/j.jbusres.2023.114001

X. Luo, J. H. Cheah, L. D. Hollebeek, and X. J. Lim, “Boosting customers’ impulsive buying tendency in live-streaming commerce: The role of customer engagement and deal proneness,” Journal of Retailing and Consumer Services, vol. 77, Mar. 2024. https://doi.org/10.1016/j.jretconser.2023.103644

A. Raza, M. I. Ishaq, A. Khan, R. Ahmad, and N. Haj Salem, “How fashion cewebrity influences customer engagement behavior in emerging economy? Social network influence as moderator,” Journal of Retailing and Consumer Services, vol. 74, Sep. 2023. https://doi.org/10.1016/j.jretconser.2023.103392

X. Chen, S. Guo, J. Xiong, and Z. Ye, “Customer engagement, dependence and loyalty: An empirical study of Chinese customers in multitouch service encounters,” Technol Forecast Soc Change, vol. 197, Dec. 2023. https://doi.org/10.1016/j.techfore.2023.122920

S. K. Wagh, A. A. Andhale, K. S. Wagh, J. R. Pansare, S. P. Ambadekar, and S. H. Gawande, “Customer churn prediction in telecom sector using machine learning techniques,” Results in Control and Optimization, vol. 14, Mar. 2024. https://doi.org/10.1016/j.rico.2023.100342

T. Gattermann-Itschert and U. W. Thonemann, “Proactive customer retention management in a non-contractual B2B setting based on churn prediction with random forests,” Industrial Marketing Management, vol. 107, pp. 134–147, Nov. 2022. https://doi.org/10.1016/j.indmarman.2022.09.023

B. Prabadevi, R. Shalini, and B. R. Kavitha, “Customer churning analysis using machine learning algorithms,” International Journal of Intelligent Networks, vol. 4, pp. 145–154, Jan. 2023. https://doi.org/10.1016/j.ijin.2023.05.005

B. Li, S. Mousa, J. R. R. Reinoso, H. M. Alzoubi, A. Ali, and A. D. Hoang, “The role of technology innovation, customer retention and business continuity on firm performance after post-pandemic era in China’s SMEs,” Econ Anal Policy, vol. 78, pp. 1209–1220, Jun. 2023. https://doi.org/10.1016/j.eap.2023.05.004

S. J, C. Gangadhar, R. K. Arora, P. N. Renjith, J. Bamini, and Y. devidas Chincholkar, “E-commerce customer churn prevention using machine learning-based business intelligence strategy,” Measurement: Sensors, vol. 27, Jun. 2023. https://doi.org/10.1016/j.measen.2023.100728

A. N. Kini, B. Savitha, and I. T. Hawaldar, “Brand loyalty in FinTech services: The role of self-concept, customer engagement behavior and self-brand connection,” Journal of Open Innovation: Technology, Market, and Complexity, vol. 10, no. 1, Mar. 2024. https://doi.org/10.1016/j.joitmc.2024.100240

C. L. Hsu, “Enhancing brand love, customer engagement, brand experience, and repurchase intention: Focusing on the role of gamification in mobile apps,” Decis Support Syst, vol. 174, Nov. 2023. https://doi.org/10.1016/j.dss.2023.114020

S. Bazi, R. Filieri, and M. Gorton, “Social media content aesthetic quality and customer engagement: The mediating role of entertainment and impacts on brand love and loyalty,” J Bus Res, vol. 160, May 2023. https://doi.org/10.1016/j.jbusres.2023.113778

J. (Miracle) Qi, S. Wang, and K. K. Lindsey Hall, “Bridging employee engagement and customer engagement in a service context,” J Bus Res, vol. 160, May 2023. https://doi.org/10.1016/j.jbusres.2023.113803

A. De Caigny, K. W. De Bock, and S. Verboven, “Hybrid black-box classification for customer churn prediction with segmented interpretability analysis,” Decis Support Syst, vol. 181, Jun. 2024. https://doi.org/10.1016/j.dss.2024.114217

A. Aldhamiri, J. Carlson, S. Vilches-Montero, S. M. Rahman, and S. P. Gudergan, “What drives higher active customer engagement in luxury brands’ social media? Measurement and contingencies,” Journal of Retailing and Consumer Services, vol. 79, Jul. 2024. https://doi.org/10.1016/j.jretconser.2024.103804

P. P. Singh, F. I. Anik, R. Senapati, A. Sinha, N. Sakib, and E. Hossain, “Investigating customer churn in banking: A machine learning approach and visualization app for data science and management,” Data Science and Management, vol. 7, no. 1, pp. 7–16, Mar. 2024. https://doi.org/10.1016/j.dsm.2023.09.002

M. A. I. Gazi, A. Al Mamun, A. Al Masud, A. R. bin S. Senathirajah, and T. Rahman, “The relationship between CRM, knowledge management, organization commitment, customer profitability and customer loyalty in telecommunication industry: The mediating role of customer satisfaction and the moderating role of brand image,” Journal of Open Innovation: Technology, Market, and Complexity, vol. 10, no. 1, Mar. 2024. https://doi.org/10.1016/j.joitmc.2024.100227

B. Wu, G. Guo, and P. Luo, “The effect of subscriptions on customer engagement,” J Bus Res, vol. 178, May 2024. https://doi.org/10.1016/j.jbusres.2024.114638

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

F. F. Gu, F. F. Leung, D. T. Wang, and Y. Tang, “Navigating the Double-Edged Sword: Executive hubris and its impact on customer acquisition and retention,” International Journal of Research in Marketing, Jun. 2024. https://doi.org/10.1016/j.ijresmar.2023.12.002

S. Beltozar-Clemente, O. Iparraguirre-Villanueva, F. Pucuhuayla-Revatta, J. Zapata-Paulini, and M. Cabanillas-Carbonell, “Predicting customer abandonment in recurrent neural networks using short-term memory,” Journal of Open Innovation: Technology, Market, and Complexity, vol. 10, no. 1, Mar. 2024. https://doi.org/10.1016/j.joitmc.2024.100237

A. Salonen, J. Mero, J. Munnukka, M. Zimmer, and H. Karjaluoto, “Digital content marketing on social media along the B2B customer journey: The effect of timely content delivery on customer engagement,” Industrial Marketing Management, vol. 118, pp. 12–26, Apr. 2024. https://doi.org/10.1016/j.indmarman.2024.02.002

B. Hochstein, C. M. Voorhees, A. B. Pratt, D. Rangarajan, D. M. Nagel, and V. Mehrotra, “Customer success management, customer health, and retention in B2B industries,” International Journal of Research in Marketing, vol. 40, no. 4, pp. 912–932, Dec. 2023. https://doi.org/10.1016/j.ijresmar.2023.09.002

I. Piriyakul, S. Kunathikornkit, and R. Piriyakul, “Evaluating brand equity in the hospitality industry: Insights from customer journeys and text mining,” International Journal of Information Management Data Insights, vol. 4, no. 2, Nov. 2024. https://doi.org/10.1016/j.jjimei.2024.100245

P. Jiang, Z. Liu, M. Z. Abedin, J. Wang, W. Yang, and Q. Dong, “Profit-driven weighted classifier with interpretable ability for customer churn prediction,” Omega (United Kingdom), vol. 125, Jun. 2024. https://doi.org/10.1016/j.omega.2024.103034

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

P. Q. Huy, S. N. Shavkatovich, Z. Abdul-Samad, D. K. Agrawal, K. M. Ashifa, and M. Arumugam, “Resource management projects in entrepreneurship and retain customer based on big data analysis and artificial intelligence,” Journal of High Technology Management Research, vol. 34, no. 2, Nov. 2023. https://doi.org/10.1016/j.hitech.2023.100471

H. Li, H. Liu, H. Hailey Shin, and H. Ji, “Impacts of user-generated images in online reviews on customer engagement: A panel data analysis,” Tour Manag, vol. 101, Apr. 2024. https://doi.org/10.1016/j.tourman.2023.104855

Y. E. Tang and M. K. Mantrala, “Incorporating direct customers’ customer needs in a multi-dimensional B2B market segmentation approach,” Industrial Marketing Management, vol. 119, pp. 252–263, May 2024. https://doi.org/10.1016/j.indmarman.2024.04.005

V. Kulikovskaja, M. Hubert, K. G. Grunert, and H. Zhao, “Driving marketing outcomes through social media-based customer engagement,” Journal of Retailing and Consumer Services, vol. 74, Sep. 2023. https://doi.org/10.1016/j.jretconser.2023.103445

Y. Xie, X. Li, E. W. T. Ngai, and W. Ying, “Customer churn prediction using improved balanced random forests,” Expert Syst Appl, vol. 36, no. 3 PART 1, pp. 5445–5449, 2009. https://doi.org/10.1016/j.eswa.2008.06.121

M. Z. Abedin, P. Hajek, T. Sharif, M. S. Satu, and M. I. Khan, “Modelling bank customer behaviour using feature engineering and classification techniques,” Res Int Bus Finance, vol. 65, Apr. 2023. https://doi.org/10.1016/j.ribaf.2023.101913

Q. Zhang, S. K. Ariffin, C. Richardson, and Y. Wang, “Influencing factors of customer loyalty in mobile payment: A consumption value perspective and the role of alternative attractiveness,” Journal of Retailing and Consumer Services, vol. 73, Jul. 2023. https://doi.org/10.1016/j.jretconser.2023.103302

K. Matsuoka, “Effects of revenue management on perceived value, customer satisfaction, and customer loyalty,” J Bus Res, vol. 148, pp. 131–148, Sep. 2022. https://doi.org/10.1016/j.jbusres.2022.04.052

S. Lamrhari, H. El Ghazi, M. Oubrich, and A. El Faker, “A social CRM analytic framework for improving customer retention, acquisition, and conversion,” Technol Forecast Soc Change, vol. 174, Jan. 2022. https://doi.org/10.1016/j.techfore.2021.121275

Author biographies is not available.
Download this PDF file
PDF
Statistic
Read Counter : 0 Download : 0

Downloads

Download data is not yet available.

Quick Link

  • Author Guidelines
  • Download Manuscript Template
  • Peer Review Process
  • Editorial Board
  • Reviewer Acknowledgement
  • Aim and Scope
  • Publication Ethics
  • Licensing Term
  • Copyright Notice
  • Open Access Policy
  • Important Dates
  • Author Fees
  • Indexing and Abstracting
  • Archiving Policy
  • Scopus Citation Analysis
  • Statistic
  • Article Withdrawal

Meet Our Editorial Team

Ir. Amrul Faruq, M.Eng., Ph.D
Editor in Chief
Universitas Muhammadiyah Malang
Google Scholar Scopus
Agus Eko Minarno
Editorial Board
Universitas Muhammadiyah Malang
Google Scholar  Scopus
Hanung Adi Nugroho
Editorial Board
Universitas Gadjah Mada
Google Scholar Scopus
Roman Voliansky
Editorial Board
Dniprovsky State Technical University, Ukraine
Google Scholar Scopus
Read More
 

KINETIK: Game Technology, Information System, Computer Network, Computing, Electronics, and Control
eISSN : 2503-2267
pISSN : 2503-2259


Address

Program Studi Elektro dan Informatika

Fakultas Teknik, Universitas Muhammadiyah Malang

Jl. Raya Tlogomas 246 Malang

Phone 0341-464318 EXT 247

Contact Info

Principal Contact

Amrul Faruq
Phone: +62 812-9398-6539
Email: faruq@umm.ac.id

Support Contact

Fauzi Dwi Setiawan Sumadi
Phone: +62 815-1145-6946
Email: fauzisumadi@umm.ac.id

© 2020 KINETIK, All rights reserved. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License