Digital Referral System and Consumer Acquisition, Engagement, and Loyalty of Selected Online Business Platforms: Inputs to Enhanced Strategies (Focus on Shopee, Lazada, and Temu)

Authors

  • Kent Marie Adrienne R. Galolo Eulogio “Amang” Rodriguez Institute of Science and Technology, Sampaloc Manila, Philippines Author
  • Pamela Bianca C. Garcia Eulogio “Amang” Rodriguez Institute of Science and Technology, Sampaloc Manila, Philippines Author
  • Mhicaela E. Hipolito Eulogio “Amang” Rodriguez Institute of Science and Technology, Sampaloc Manila, Philippines Author
  • Rosa May C. Insigne Eulogio “Amang” Rodriguez Institute of Science and Technology, Sampaloc Manila, Philippines Author
  • Jayrowen P. Martorillas Eulogio “Amang” Rodriguez Institute of Science and Technology, Sampaloc Manila, Philippines Author
  • Christian Andre Viril Eulogio “Amang” Rodriguez Institute of Science and Technology, Sampaloc Manila, Philippines Author

DOI:

https://doi.org/10.65339/ijsair.V2.I3.855

Keywords:

Digital Referral Systems, Consumer Acquisition, Consumer Engagement, Consumer Loyalty, Online

Abstract

The rapid expansion of the digital economy has transformed the way online business platforms attract and retain consumers. Digital referral systems have emerged as an effective marketing strategy that encourages existing users to recommend products and services to potential customers through incentive base programs. This study examines the relationship between digital referral systems and consumer acquisition, consumer engagement, and consumer loyalty among users of selected online business platforms, specifically Shoppee, Lazada, and Temu. The research evaluated digital referral systems in terms of incentive, and reward structure, ease of use, and the accessibility, social sharing features, tracking and analytical capabilities, and security and privacy of referral data. Consumer acquisition was assessed based on the reach of new customers, conversion of referred needs, brand awareness, cost efficiency, and referral influence on purchase decision. Consumer engagement was evaluated through interaction with referral content, frequency of participation, feedback activity, community involvement, and consistency of platform of usage, while consumer reality was measured through repeat purchase behavior, brand advocacy, emotional attachment, retention of referred customers, and switching intention.

A quantitative research design utilizing a structure survey questionnaire was employed to gather data from 377 respondents selected through purposive sampling. Statistical analysis revealed that digital referral system were High Evident across all measured dimensions. Furthermore, Pearson Product-Moment Correlation Analysis indicated a significant positive relationship between digital referral systems and consumer acquisition (r=0.820, p<0.001), and consumer engagement (r=0.586, p<0.001), and consumer reality (r=0.544, p<0.001). The findings demonstrate that well-designed referral systems contribute significantly to platform growth by attracting new customers, increasing user participation, and strengthening long term customer loyalty. The study recommends enhancing referral incentives, improving system accessibility and transparency, strengthening security measures, and integrating more engaging referral strategies to maximize the effectiveness of digital referral programs within online business platforms.

References

Adikari Mudiyanselage, S. (2025). Channel behavior in platform retailing: With reference to multi- sided marketplaces in Sri Lanka. University of Eastern Finland e Repository.

Bacay, I., Ramirez, R. A., Ramos, F. N., & Grimaldo, J. R. (2022). Factors influencing Shopee users’ intention to purchase products during Shopee Philippines’ big online shopping events. Journal of Business and Management Studies, 4(2), 27–37.BSP-Payment System Oversight Department. (2020). Digital Payments Transformation Roadmap 2020-2023 (pp. 1-38). https://www.bsp.gov.ph/Media_And_Research/Primers%20Faqs/Digital%20Payments%20Transformation%20 Roadmap%20Report.pdf

Barokah, Y. (2023). Referral marketing as a strategic tool to expand customer networks and reach. Journal of Economics Studies, 7(1), 36–46.

Chouhan, A. (n.d.). Digital marketing handbook (Vol. 1). Bookboon.

Cohen, D. A., & Zarowin, P. (2020). Accrual-based and real earnings management activities around seasoned equity offerings. Journal of Accounting and Economics. Forbes. (2023, December 7). Crowd sourcing referrals: The new holy grail of hiring. https://www.forbes.com/sites/roomykhan/2023/12/07/crowdsourcing- referrals-the- new-holy- grail-of-hiring/

Grajo, C. A. (2024). The impact of digital shopping on buying decisions: The case of online shoppers in Juban, Sorsogon. United International Journal for Research & Technology, 5(12), 34–50. Hochstein, R. E., Harmeling, C. M., & Perko, T. (2023). Toward a theory of consumer digital trust: Meta-analytic evidence of its role in the effectiveness of user-generated content. Journal of the Academy of Marketing Science, 53(2).

Kumar, V., Dixit, A., Javalgi, R., & Dass, M. (2021). Digital transformation of customer engagement and loyalty. Journal of Marketing, 85(1), 1–28.

McKinsey & Company. (n.d.). Digital marketing: How we help clients power growth through digital advantage. https://www.mckinsey.com/capabilities/growth-marketing-and-sales/how-we-help-clients/digital-marketing

Ng, K. W. (2025). Exploring the role of customer experience and brand image in driving repurchase intentions on the e-commerce platform: Insights from consumer behavior and marketing strategies. Tobacco Science and Technology, 58(2), Article 2493.

Nuseir, M. T., El Refae, G. A., Aljumah, A., Alshurideh, M., Urabi, S., & Al Kurdi, B. (2023). Digital marketing strategies and the impact on customer experience: A systematic review. In The effect of information technology on business and marketing intelligence systems (Vol. 1056, pp. 21–44). Springer.

Roberts, E. (2019). The strategic management of technology. Research-Technology Management.

Roelens, I. (2018). Advances in referral marketing using social networks (Doctoral dissertation, Ghent University). Ghent University Repository.

Soria, N. J. (2024). Impacts of social media influencers on consumer behavior: A case study in Davao City, Philippines. European Journal of Management and Marketing Studies, 8(4). Statistic. (2023). Percentage of marketers using referral programs worldwide. https://www.statista.com/statistics/1383484/influencer- campaigns-sales-attraction-ways/

Downloads

Published

2026-08-06

Issue

Section

Articles

How to Cite

Galolo, K. M., Garcia, P. B. C., Hipolito, M. E., Insigne, R. M. C., Martorillas, J., & Viril, C. A. (2026). Digital Referral System and Consumer Acquisition, Engagement, and Loyalty of Selected Online Business Platforms: Inputs to Enhanced Strategies (Focus on Shopee, Lazada, and Temu). International Journal of Sustainability and Advanced Integrated Research, 2(2), 1409-1415. https://doi.org/10.65339/ijsair.V2.I3.855