The Effect of Personalized Marketing on Consumer Retention through Consumer Satisfaction and Consumer Trust

Authors

  • Indar Riyanto Universitas Pamulang, Indonesia
  • Didit Haryadi Universitas Pamulang, Indonesia
  • Fuadi Fuadi Universitas Pamulang, Indonesia
  • Saeful Fachri Universitas Pamulang, Indonesia

DOI:

https://doi.org/10.37641/jimkes.v14i3.5123

Keywords:

Consumer Retention, Consumer Satisfaction, Consumer Trust, Personalized Marketing

Abstract

Consumer retention is shaped by personalized marketing, built on consumer trust and satisfaction. This study aims to identify the effect of personalized marketing on consumer retention, focusing on consumer satisfaction and trust in the e-commerce sector. The research method used is quantitative, with a causal design and a survey approach. The study population consisted of students with a sample of 200 respondents who met the criteria as active e-commerce consumers. Data collection was conducted through an online questionnaire using a rating scale of 1-10. Data analysis used Structural Equation Modeling (SEM) with a Partial Least Squares (PLS) approach, including measurement models and hypothesis testing through bootstrapping. The research findings show that personalized marketing affects consumer retention, consumer trust, and consumer satisfaction. Consumer trust and consumer satisfaction both affect consumer retention. Consumer trust and consumer satisfaction mediate the effect of personalized marketing on consumer retention. This study shows that personalized marketing plays an important role in increasing consumer satisfaction and trust, thereby increasing long-term customer retention. The implication of this study suggests that companies should prioritize the implementation of personalized marketing strategies supported by data analytics and CRM systems to deliver more relevant customer experiences.

Downloads

Download data is not yet available.

References

Adamu, A., Gemu, A. A., & Babangida, S. Z. (2024). Digital CRM tools and consumer retention in nigeria’s fmcg sector: A quantitative analysis. The Journal, 1(5), 407-415.

Ahmed, S., Al Asheq, A., Ahmed, E., Chowdhury, U. Y., Sufi, T., & Mostofa, M. G. (2023). The intricate relationships of consumers’ loyalty and their perceptions of service quality, price and satisfaction in restaurant service. The TQM Journal, 35(2), 519-539.

Akter, S., Motamarri, S., Hani, U., Shams, R., Fernando, M., Babu, M. M., & Shen, K. N. (2020). Building dynamic service analytics capabilities for the digital marketplace. Journal of Business Research, 118(10), 177-188.

Alijoyo, F. A., Aziz, T. S. A., Omer, N., Yusuf, N., Kumar, M. D., Ramesh, A. V. N., ... & El-Ebiary, Y. A. B. (2025). Personalized marketing: Leveraging AI for culturally aware segmentation and targeting. Alexandria Engineering Journal, 119(10), 8-21.

Araújo, J., Pereira, I. V., & Santos, J. D. (2023). The effect of corporate social responsibility on brand image and brand equity and its impact on consumer satisfaction. Administrative Sciences, 13(5), 118-129.

Bappenas. (2022). Ministry of National Development Planning / National Development Planning Agency 2. Retrieved on October 24, 2025, from https://www.bappenas.go.id

Blut, M., Wang, C., & Schoefer, K. (2016). Factors influencing the acceptance of self-service technologies: A meta-analysis. Journal of Service Research, 19(4), 396-416.

Chaturvedi, P., Kulshreshtha, K., Tripathi, V., & Agnihotri, D. (2024). Investigating the impact of restaurants’ sustainable practices on consumers’ satisfaction and revisit intentions: a study on leading green restaurants. Asia-Pacific Journal of Business Administration, 16(1), 41-62.

Christianti, G. A., & Hasanah, N. (2025). The influence of marketing mix on customer satisfaction, trust, and loyalty. Jurnal Ilmiah Manajemen Kesatuan, 13(6), 4249-4260.

Cuesta-Valiño, P., Gutiérrez-Rodríguez, P., & Núnez-Barriopedro, E. (2022). The role of consumer happiness in brand loyalty: a model of the satisfaction and brand image in fashion. Corporate Governance: The International Journal of Business in Society, 22(3), 458-473.

Dewobroto, W., Nimran, U., Arifin, Z., & Yulianto, E. (2022). The role of customer value and customer trust as a mediator of flexibility influence on customer retention. Webology, 19(1), 66-77.

Dhia, N., Simangunsong, D. W., Al Ghaniy, M. R., & Mani, L. (2025). The effect brand performance, consumer testimonials, and brand ambassadors on customer loyalty. Jurnal Ilmiah Manajemen Kesatuan, 13(6), 4335-4346.

Dwivedi, R. K., Choudhary, L.S., Dixit, R. S., Sahiba, Z., & Naik, S. (2024). The customer loyalty vs. customer retention: The impact of customer relationship management on customer satisfaction. In Web intelligence (Vol. 22, No. 3, pp. 425-442). London: SAGE Publications.

Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., ... & Wright, R. (2023). Opinion Paper:“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71(5), 102-122.

Edelman, D. C., & Abraham, M. (2022). Customer experience in the age of AI. Harvard Business Review, 100(3-4), 116-125.

El-Said, O., & Al Hajri, S. (2022). Are customers happy with robot service? Investigating satisfaction with robot service restaurants during the COVID-19 pandemic. Heliyon, 8(3), 79-89.

Gao, Y., & Liu, H. (2023). Artificial intelligence-enabled personalization in interactive marketing: a customer journey perspective. Journal of Research in Interactive Marketing, 17(5), 663-680.

Garaus, M., & Treiblmaier, H. (2021). The influence of blockchain-based food traceability on retailer choice: The mediating role of trust. Food Control, 129(12), 10-22.

Gidaković, P., & Zabkar, V. (2021). How industry and occupational stereotypes shape consumers’ trust, value and loyalty judgments concerning service brands. Journal of Service Management, 32(6), 92-113.

Hair, J., & Alamer, A. (2022). Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example. Research Methods in Applied Linguistics, 1(3), 10-27.

Hallikainen, H., Luongo, M., Dhir, A., & Laukkanen, T. (2022). Consequences of personalized product recommendations and price promotions in online grocery shopping. Journal of Retailing and Consumer Services, 69(9), 103-118.

Heidary, K., Custers, B., Pluut, H., & van der Rest, J. P. (2022). A qualitative investigation of company perspectives on online price discrimination. Computer Law & Security Review, 46(9), 105-114.

Hidayat, K., & Idrus, M. I. (2023). The effect of relationship marketing towards switching barrier, customer satisfaction, and customer trust on bank customers. Journal of Innovation and Entrepreneurship, 12(1), 29-39.

Hossain, F., Ahmed, G. S., Shuvo, S. P. P., Kona, A. N., Raina, M. U. H., & Shikder, F. (2024). Unlocking artificial intelligence for strategic market development and business growth: innovations, opportunities, and future directions. Edelweiss Applied Science and Technology, 8(6), 5825-5846.

Huang, M. H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155-172.

Huang, M. H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30-50.

Huang, Y., Gong, L., Ren, K., & Zhu, N. (2025). Determinants of continuous purchase intention on fresh food e-commerce platforms. Frontiers in Sustainable Food Systems, 9(5), 155-160.

Islam, M. A., & Sinniah, S. (2025). Exploring customer relationship management factors, customer trust, and innovation capacity: A quantitative study on customer retention. Accountancy Business and the Public Interest, 41(10), 12-29.

Jalaja, V., Sheshadri, T., Arthi, V. K., Thilaga, S., Bamini, J., Basha, M. S., & Kethan, M. (2024). Maximizing marketing value: An empirical study on the framework for assessing AI and ML integration in marketing management. Indian Journal of Information Sources and Services, 14(3), 64-70.

Kalinić, Z., Marinković, V., Kalinić, L., & Liebana-Cabanillas, F. (2021). Neural network modeling of consumer satisfaction in mobile commerce: An empirical analysis. Expert Systems with Applications, 175(11), 114-123.

Kim, S. Y. (2022). The impact of customer-generated evaluation information on sales in online platform-based markets. Journal of Retailing and Consumer Services, 68(11), 103-116.

Kim, S. Y., & Kim, J. (2025). The impact of AI recommendation quality on service satisfaction: the moderating roles of standardization and customization. Journal of Services Marketing, 39(4), 365-386.

Kim, Y., Seok, J., & Roh, T. (2023). The linkage between quality of information systems and the impact of trust-based privacy on behavioral outcomes in unmanned convenience store: Moderating effect of gender and experience. Technological Forecasting and Social Change, 196(10), 122-122.

Kindermann, B., Schmidt, C. V. H., Burger, O., & Flatten, T. C. (2022). Why teams matter in customer involvement–The moderating effects of team social cohesion and team autonomy. Journal of Business Research, 146(12), 70-83.

Kock, N. (2024). Will PLS have to become factor-based to survive and thrive?. European Journal of Information Systems, 33(6), 882-902.

Le, T. Q., Wann-Yih, W. U., Ying-Kai, L. I. A. O., & Phung, T. T. T. (2022). The extended sor model investigating consumer impulse buying behavior in online shopping: a meta-analysis. Journal of Distribution Science, 20(2), 1-9.

Li, Y., Liao, A., Li, L., Zhang, M., Zhao, X., & Ye, F. (2023). Reinforcing or weakening? The role of blockchain technology in the link between consumer trust and organic food adoption. Journal of Business Research, 164(11), 113-129.

Ma, Y. (2021). Elucidating determinants of customer satisfaction with live-stream shopping: An extension of the information systems success model. Telematics and Informatics, 65(10), 101-107.

Malhotra, G. (2022). Consumer retention in two-wheeler industry: a moderated mediation model. Asia Pacific Journal of Marketing and Logistics, 34(8), 1681-1701.

McKee, K. M., Dahl, A. J., & Peltier, J. W. (2024). Gen Z’s personalization paradoxes: A privacy calculus examination of digital personalization and brand behaviors. Journal of Consumer Behaviour, 23(2), 405-422.

Mensouri, D., Azmani, A., & Azmani, M. (2022). K-Means customers clustering by their RFMT and score satisfaction analysis. International Journal of Advanced Computer Science and Applications, 13(6), 469-476.

Migkos, S. P., Giannakopoulos, N. T., & Sakas, D. P. (2025). Impact of influencer marketing on consumer behavior and online shopping preferences. Journal of Theoretical and Applied Electronic Commerce Research, 20(2), 111-121.

Mikheev, A. A., Krasnov, A., Griffith, R., & Draganov, M. (2021). The interaction model within phygital environment as an implementation of the open innovation concept. Journal of Open Innovation: Technology, Market, and Complexity, 7(2), 114-123.

Minhaj, S. M., & Khan, M. A. (2025). Performance of online banking and direct effect of service quality on consumer retention and credibility of consumer and mediation effect of consumer satisfaction. International Journal of Business Information Systems, 49(4), 473-490.

Mishra, S., Malhotra, G., Chatterjee, R., & Shukla, Y. (2023). Consumer retention through phygital experience in omnichannel retailing: role of consumer empowerment and satisfaction. Journal of Strategic Marketing, 31(4), 749-766.

Mukid, M. A., Otok, B. W., & Suharsono, A. (2022). Segmentation in structural equation modeling using a combination of partial least squares and modified fuzzy clustering. Symmetry, 14(11), 2431-2451.

Muninger, M. I., Mahr, D., & Hammedi, W. (2022). Social media use: A review of innovation management practices. Journal of Business Research, 143(5), 140-156.

Oklander, M., Yashkina, O., Petryshchenko, N., Karandin, O., & Yevdokimova, O. (2024). Economic aspects of Industry 4.0 marketing technologies implementation in the agricultural sector of Ukraine. Ekonomika APK, 31(4), 55-66.

Olugbenga, O. O., Bamidele, O. B., & Ijomah, W. O. (2024). The impact of customer retention on organizational profitability in the FMCG sector in Nigeria. British Journal of Management and Marketing Studies, 7(3), 116-129.

Pan, Q., & Yang, G. (2022). Application of mining algorithm in personalized Internet marketing strategy in massive data environment. Journal of Intelligent Systems, 31(1), 237-244.

Panzone, L., Garrod, G., Adinolfi, F., & Di Pasquale, J. (2022). Molecular marketing, personalised information and willingness‐to‐pay for functional foods: Vitamin D enriched eggs. Journal of Agricultural Economics, 73(3), 666-689.

Pappas, N. (2019). The complexity of consumer experience formulation in the sharing economy. International Journal of Hospitality Management, 77(5), 415-424.

Pizzi, G., Scarpi, D., & Pantano, E. (2021). Artificial intelligence and the new forms of interaction: who has the control when interacting with a chatbot?. Journal of Business Research, 129(5), 878-890.

Rawool, V., Foroudi, P., & Palazzo, M. (2025). AI-powered voice assistants: developing a framework for building consumer trust and fostering brand loyalty. Electronic Commerce Research, 25(6), 4471-4503.

Riegger, A. S., Merfeld, K., Klein, J. F., & Henkel, S. (2022). Technology-enabled personalization: Impact of smart technology choice on consumer shopping behavior. Technological Forecasting and Social Change, 181(15), 121-132.

Salamah, A. A., Hassan, S., Aljaafreh, A., Zabadi, W. A., AlQudah, M. A., Hayat, N., ... & Kanesan, T. (2022). Customer retention through service quality and satisfaction: using hybrid SEM-neural network analysis approach. Heliyon, 8(9), 88-98.

Salhab, H., Zoubi, M., Khrais, L. T., Estaitia, H., Harb, L., Al Huniti, A., & Morshed, A. (2025). AI-driven sustainable marketing in gulf cooperation council retail: advancing SDGs through smart channels. Administrative Sciences, 15(1), 20-30.

Schuberth, F., Rademaker, M. E., & Henseler, J. (2023). Assessing the overall fit of composite models estimated by partial least squares path modeling. European Journal of Marketing, 57(6), 1678-1702.

Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach. London: John Wiley & Sons.

Süer, Ö., H Al-Salami, Q., & AF Aldhaheri, O. (2025). The impact of customer satisfaction on retention rates: an applied study using predictive statistical analysis. Journal International Management, 8(4), 33-45.

Sun, S., Jiang, F., Feng, G., Wang, S., & Zhang, C. (2022). The impact of COVID-19 on hotel customer satisfaction: evidence from Beijing and Shanghai in China. International Journal of Contemporary Hospitality Management, 34(1), 382-406.

Tseng, H. T., Shanmugam, M., Magalingam, P., Shahbazi, S., & Featherman, M. S. (2022). Managing enterprise social media to develop consumer trust. British Food Journal, 124(12), 4626-4643.

Vdovichena, O., Potwora, M., Semchuk, D., Lipych, L., & Saienko, V. (2024). The use of artificial intelligence in marketing strategies: Automation, personalization and forecasting. Journal of Management World, 20(2), 41–49.

Yin, J., Qiu, X., & Wang, Y. (2025). The impact of AI-personalized recommendations on clicking intentions: Evidence from Chinese e-commerce. Journal of Theoretical and Applied Electronic Commerce Research, 20(1), 21-32.

Zhao, H., Yao, X., Liu, Z., & Yang, Q. (2021). Impact of pricing and product information on consumer buying behavior with customer satisfaction in a mediating role. Frontiers in Psychology, 12(6), 720-731.

Zulkifli, R., Aimran, N., Deni, S. M., & Badarisam, F. N. (2022). A comparative study on the performance of maximum likelihood, generalized least square, scalefree least square, partial least square and consistent partial least square estimators in structural equation modeling. International Journal of Data & Network Science, 6(2), 654-667.

Downloads

Published

2026-05-31

How to Cite

Riyanto, I., Haryadi, D., Fuadi, F., & Fachri, S. (2026). The Effect of Personalized Marketing on Consumer Retention through Consumer Satisfaction and Consumer Trust. Jurnal Ilmiah Manajemen Kesatuan, 14(3), 2849–2862. https://doi.org/10.37641/jimkes.v14i3.5123