Promo Code Strategy in E-Commerce: A Literature Review on its Impact on Customer Churn Rate and Managerial Implications

Moh. Nasrul Arief Setiawan Adam, Robiyati Podungge

Abstract


Promo codes are a prevalent digital marketing tactic employed in the e-commerce sector to enhance consumer acquisition and retention. Nevertheless, many research have cast skepticism on the enduring efficacy of promotional coupons, especially regarding their impact on diminishing customer turnover rates. This article offers a systematic literature review (SLR) derived from 123 scholarly papers spanning 2015 to 2024. The findings indicate that whereas promotional codes can enhance immediate customer acquisition, they negatively impact consumer loyalty when implemented without segmentation and loyalty measures. This analysis underscores the significance of a data-driven methodology and the integration of promotional codes with CRM systems to mitigate elevated attrition rates. This study employs various machine learning techniques, including Naive Bayes, Decision Trees, and k-NN. Consequently, k-NN with k=1 and Naïve Bayes produced the study's most favorable outcomes.


Full Text:

PDF

References


Ahn, J. H., Han, S. P., & Lee, Y. S. (2006). Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry. Telecommunications Policy, 30(10–11), 552–568. https://doi.org/10.1016/j.telpol.2006.09.006

Akin, M. S. (2024). Enhancing e-commerce competitiveness: A comprehensive analysis of customer experiences and strategies in the Turkish market. Journal of Open Innovation: Technology, Market, and Complexity, 10(1), 100222. https://doi.org/10.1016/j.joitmc.2024.100222

Barrera, F., Segura, M., & Maroto, C. (2024). Multiple criteria decision support system for customer segmentation using a sorting outranking method. Expert Systems with Applications, 238, 122310. https://doi.org/10.1016/j.eswa.2023.122310

Cardoso, A., Gabriel, M., Figueiredo, J., Oliveira, I., Rêgo, R., Silva, R., Oliveira, M., & Meirinhos, G. (2022). Trust and loyalty in building the brand relationship with the customer: Empirical analysis in a retail chain in Northern Brazil. Journal of Open Innovation: Technology, Market, and Complexity, 8(3), 109. https://doi.org/10.3390/joitmc8030109

Choi, W. J., & Sayedi, A. (2023). Open and private exchanges in display advertising. Marketing Science, 42(3), 451-475. https://doi.org/10.1287/mksc.2022.1399

Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., Jain, V., Karjaluoto, H., Kefi, H., Krishen, A. S., Kumar, V., Rahman, M. M., Raman, R., Rauschnabel, P. A., Rowley, J., Salo, J., Tran, G. A., & Wang, Y. (2021). Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management, 59, 102168. https://doi.org/10.1016/j.ijinfomgt.2020.102168

Ghosh, S., Hughes, M., Hodgkinson, I., & Hughes, P. (2022). Digital transformation of industrial businesses: A dynamic capability approach. Technovation, 113, 102414. https://doi.org/10.1016/j.technovation.2021.102414

Gordini, N., & Veglio, V. (2017). Customers churn prediction and marketing retention strategies: An application of support vector machines based on the AUC parameter-selection technique in B2B e-commerce industry. Industrial Marketing Management, 62, 100–107. https://doi.org/10.1016/j.indmarman.2016.08.003

Haleem, A., Javaid, M., Qadri, M. A., Singh, R. P., & Suman, R. (2022). Artificial intelligence (AI) applications for marketing: A literature-based study. International Journal of Intelligent Networks, 3, 119–132. https://doi.org/10.1016/j.ijin.2022.08.005

Hammouri, Q., Altaher, A. M., Al-Gasawneh, J. A., Rabaa’i, A. A., Aloqool, A., & Khataybeh, H. (2022). Understanding the determinants of digital shopping features: The role of promo code on customer behavioral intention. International Journal of Data and Network Science, 6(3), 641–650. https://doi.org/10.5267/j.ijdns.2022.4.009

Jaiswal, A. K., Niraj, R., Park, C. H., & Agarwal, M. K. (2018). The effect of relationship and transactional characteristics on customer retention in emerging online markets. Journal of Business Research, 92, 25–35. https://doi.org/10.1016/j.jbusres.2018.07.007

Japutra, A., Gordon-Wilson, S., Ekinci, Y., & Adam, E. D. (2025). The dark side of brands: Exploring fear of missing out, obsessive brand passion, and compulsive buying. Journal of Business Research, 186, 114990. https://doi.org/10.1016/j.jbusres.2024.114990

Javaid, M., Haleem, A., Singh, R. P., & Sinha, A. K. (2024). Digital economy to improve the culture of industry 4.0: A study on features, implementation and challenges. Green Technologies and Sustainability, 2(2), 100083. https://doi.org/10.1016/j.grets.2024.100083

Kamya, E., & Marikannan, B. P. (2018). Systematic review of customer churn prediction in the telecom. Journal of Applied Technology and Innovation, 2(1), 7–14.

Kitchenham, B., & Brereton, P. (2013). A systematic review of systematic review process research in software engineering. Information and Software Technology, 55(12), 2049–2075. https://doi.org/10.1016/j.infsof.2013.07.010

Kumar, V., & Shah, D. (2004). Building and sustaining profitable customer loyalty for the 21st century. Journal of Retailing, 80(4), 317–329. https://doi.org/10.1016/j.jretai.2004.10.007

Lemmens, A., & Gupta, S. (2020). Managing churn to maximize profits. Marketing Science, 39(5), 956–973. https://doi.org/10.1287/mksc.2020.1229

Matuszela?ski, K., & Kopczewska, K. (2022). Customer churn in retail e-commerce business: Spatial and machine learning approach. Journal of Theoretical and Applied Electronic Commerce Research, 17(1), 165–198. https://doi.org/10.3390/jtaer17010009

Meyer-Waarden, L. (2007). The effects of loyalty programs on customer lifetime duration and share of wallet. Journal of Retailing, 83(2), 223–236. https://doi.org/10.1016/j.jretai.2007.01.002

Nayal, P., & Pandey, N. (2020). Digital coupon redemption: Conceptualization, scale development and validation. Australasian Journal of Information Systems, 24, 1–23. https://doi.org/10.3127/ajis.v24i0.2469

Nguyen, N. T., Wereley, S. T., & Shaegh, S. A. M. (2019). Fundamentals and applications of microfluidics. Artech house.

Nishio, K., & Hoshino, T. (2024). Quantifying the short- and long-term effects of promotional incentives in a loyalty program: Evidence from birthday rewards in a large retail company. Journal of Retailing and Consumer Services, 81, 103957. https://doi.org/10.1016/j.jretconser.2024.103957

Nursalim, C. P., Tannia, T., & Robert, A. (2025). Service quality and perceived value toward customer satisfaction in e-commerce delivery: The role of trust. International Journal of Applied Business & International Management, 10(1), 103–120. https://doi.org/10.32535/ijabim.v10i1.3741

Park, W., & Ahn, H. (2022). Not all churn customers are the same: Investigating the effect of customer churn heterogeneity on customer value in the financial sector. Sustainability, 14(19), 12328. https://doi.org/10.3390/su141912328

Peña-García, N., Gil-Saura, I., Rodríguez-Orejuela, A., & Siqueira-Junior, J. R. (2020). Purchase intention and purchase behavior online: A cross-cultural approach. Heliyon, 6(6), e04284. https://doi.org/10.1016/j.heliyon.2020.e04284

Rashid, A. B., & Kausik, M. D. A. K. (2024). AI revolutionizing industries worldwide: A comprehensive overview of its diverse applications. Hybrid Advances, 7, 100277. https://doi.org/10.1016/j.hybadv.2024.100277

Sauer, C. R., Burggräf, P., & Steinberg, F. (2025). A systematic review of machine learning for hybrid intelligence in production management. Decision Analytics Journal, 15, 100574. https://doi.org/10.1016/j.dajour.2025.100574

Sharma, A., & Pillai, K. G. (2003). The impact of transactional and relational strategies in business markets: An agenda for inquiry. Industrial Marketing Management, 32(8), 623–626. https://doi.org/10.1016/j.indmarman.2003.06.002

Sivarajah, U., Kamal, M. M., Irani, Z., & Weerakkody, V. (2017). Critical analysis of big data challenges and analytical methods. Journal of Business Research, 70, 263–286. https://doi.org/10.1016/j.jbusres.2016.08.001

Tan, L. H., Hazrika, A., Ahmad Tamizi, N. F. A. B., Nazri, N. A. B. A., Mat Fauzi, N. B. H., Sakinah, P., & Siau, D. M. H. R. (2024). How does social media contribute to improve business performance for streaming service? Asia Pacific Journal of Management and Education, 7(2), 99–108. https://doi.org/10.32535/apjme.v7i2.3234

Tolstoy, D., Nordman, E. R., Hånell, S. M., & Özbek, N. (2021). The development of international e-commerce in retail SMEs: An effectuation perspective. Journal of World Business, 56(3), 101165. https://doi.org/10.1016/j.jwb.2020.101165

Xie, X., Chen, W., Lei, L., Xing, C., & Zhang, Y. (2016). The relationship between personality types and prosocial behavior and aggression in Chinese adolescents. Personality and Individual Differences, 95, 56–61. https://doi.org/10.1016/j.paid.2016.02.002

Xue, W., Sun, Y., Bandyopadhyay, S., & Cheng, D. (2021). Measuring customer equity in noncontractual settings using a diffusion model: An empirical study of mobile payments aggregator. Journal of Theoretical and Applied Electronic Commerce Research, 16(3), 409–431. https://doi.org/10.3390/jtaer16030026

Zhang, J., Zheng, W., Su, Y., & Xu, X. (2019). Which kinds of online reviews predict the online purchase behavior? Proceedings of the ACM International Conference, 140–147. https://doi.org/10.1145/3371238.3371260




DOI: https://doi.org/10.32535/jicp.v8i1.3933

Refbacks

  • There are currently no refbacks.


Copyright (c) 2025 Moh. Nasrul Arief Setiawan Adam, Robiyati Podungge

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

Flag Counter

Published by:

AIBPM Publisher

Editorial Office:

JL. Kahuripan No. 9 Hotel Sahid Montana, Malang, Indonesia
Phone:
+62 341 366222
Email: journal.jicp@gmail.com
Website:http://ejournal.aibpmjournals.com/index.php/JICP

Supported by: Association of International Business & Professional Management

If you are interested to get the journal subscription you can contact us at admin@aibpm.org.

ISSN 2622-0989 (Print)
ISSN 2621-993X (Online)

DOI:Prefix 10.32535 by CrossREF

Journal of International Conference Proceedings (JICP) INDEXED:

 

In Process


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