The Role of Personalized Marketing in Shaping Buyer Decision-Making
-
DOI:
https://doi.org/10.67228/3071642X/IJCFDE-2020PI1A7TPublished 06-02-2020
Personalized Marketing, Consumer Behavior, Buyer Decision-Making, Customer Engagement, Targeted Advertising, Digital Marketing, Customer Relationship Management Issue
Section
ArticlesHow to Cite
Bennett, O. (2020). The Role of Personalized Marketing in Shaping Buyer Decision-Making. International Journal of Commerce, Finance and Digital Economy, 3(1), 01-15. https://doi.org/10.67228/3071642X/IJCFDE-2020PI1A7TAbstract
Personalized marketing is a powerful strategy that customizes products, services, promotions, and communication based on individual customer preferences and behavior. Advances in information technology, customer relationship management, big data analytics, and digital platforms have enabled businesses to deliver more relevant and targeted customer experiences. By providing the right information to the right customer at the right time, personalized marketing helps attract, engage, and retain customers while improving satisfaction and loyalty. This study examines the impact of personalized marketing on the buyer decision-making process, focusing on personalized content, product recommendations, customer segmentation, and digital interactions. Using a quantitative research approach and structured questionnaires, the findings reveal that personalized marketing positively influences customer engagement, purchase intention, satisfaction, and loyalty. Consumers perceive personalized communications as more relevant and trustworthy than generic messages, which simplifies decision-making and enhances product selection. However, concerns regarding data privacy and information security remain significant challenges. Overall, the study concludes that effective personalization strategies provide businesses with a competitive advantage and strengthen customer relationships and marketing performance.
References
[1] P. Kotler and K. L. Keller, Marketing Management, 15th ed. Harlow, U.K.: Pearson Education, 2016.
[2] D. Peppers and M. Rogers, The One-to-One Future: Building Relationships One Customer at a Time. New York, NY, USA: Currency Doubleday, 1993.
[3] F. T. Wang and M. Head, “How can the Web help build customer relationships? An empirical study on e-tailing,” Information & Management, vol. 44, no. 2, pp. 115–129, 2007.
[4] A. Ansari and C. F. Mela, “E-customization,” Journal of Marketing Research, vol. 40, no. 2, pp. 131–145, 2003.
[5] R. Rust and V. Kumar, “E-service: A new paradigm for business in the electronic environment,” Communications of the ACM, vol. 44, no. 6, pp. 36–42, 2001.
[6] V. Kumar and W. Reinartz, Customer Relationship Management: Concept, Strategy, and Tools, 3rd ed. Berlin, Germany: Springer, 2018.
[7] J. Bughin, M. Chui, and J. Manyika, “Clouds, big data, and smart assets: Ten tech-enabled business trends to watch,” McKinsey Quarterly, vol. 56, no. 1, pp. 75–86, 2010.
[8] E. Brynjolfsson and A. McAfee, The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. New York, NY, USA: W. W. Norton, 2014.
[9] S. J. Kim and E. H. Kim, “Effects of personalized recommendations on consumer purchase intentions in e-commerce,” Electronic Commerce Research and Applications, vol. 29, pp. 1–12, 2018.
[10] A. Bleier and M. Eisenbeiss, “Personalized online advertising effectiveness: The interplay of what, when, and where,” Marketing Science, vol. 34, no. 5, pp. 669–688, 2015.
[11] M. Wedel and P. S. H. Leeflang, “A review of marketing analytics methods and applications,” International Journal of Research in Marketing, vol. 35, no. 4, pp. 525–543, 2018.
[12] T. Davenport, A. Guha, D. Grewal, and T. Bressgott, “How artificial intelligence will change the future of marketing,” Journal of the Academy of Marketing Science, vol. 48, no. 1, pp. 24–42, 2020.
[13] V. Shankar, R. Inman, M. Mantrala, E. Kelley, and R. Rizley, “Innovations in shopper marketing: Current insights and future research issues,” Journal of Retailing, vol. 87, pp. S29–S42, 2011.
[14] P. Verhoef, E. Kooge, and N. Walk, Creating Value with Big Data Analytics: Making Smarter Marketing Decisions. London, U.K.: Routledge, 2016.
[15] R. T. Watson, M. C. Boudreau, and A. J. Chen, “Information systems and environmentally sustainable development: Energy informatics and new directions for the IS community,” MIS Quarterly, vol. 34, no. 1, pp. 23–38, 2010.
Downloads
How to Cite
Bennett, O. (2020). The Role of Personalized Marketing in Shaping Buyer Decision-Making. International Journal of Commerce, Finance and Digital Economy, 3(1), 01-15. https://doi.org/10.67228/3071642X/IJCFDE-2020PI1A7T
Similar Articles
- Alan Bundy, Karen Spärck Jones, FinTech Solutions for Rural and Underserved Communities , International Journal of Commerce, Finance and Digital Economy: Vol. 8 No. 2 (2025)
- Dr. Mohammed Asif Khan, Dr. Shalini Gupta, Temporal Causal Inference Models for Early Warning Signals in Consumer Credit Deterioration , International Journal of Commerce, Finance and Digital Economy: Vol. 1 No. 2 (2018)
- Ritu Sharma, Kavita Nair, Business Model Innovations in Subscription-Based Commerce , International Journal of Commerce, Finance and Digital Economy: Vol. 9 No. 1 (2026)
- Dr. S Chandrasekar, E. Ebenezer, An Empirical Study on Quiet Quitting and Its Influence on Teachers in Educational Institutions , International Journal of Commerce, Finance and Digital Economy: Vol. 9 No. 2 (2026)
- Divya Sharma, Evolution of Mobile Wallets in the Global Financial Sector , International Journal of Commerce, Finance and Digital Economy: Vol. 4 No. 1 (2021)
- Narendra Karmarkar, Time Series Analysis for Commodity Price Forecasting , International Journal of Commerce, Finance and Digital Economy: Vol. 7 No. 2 (2024)
- Dr. Anita Verma, AI-Based Risk Assessment Models in Banking , International Journal of Commerce, Finance and Digital Economy: Vol. 4 No. 2 (2021)
- Arvind Menon, AI-Based Credit Risk Evaluation in FinTech Applications , International Journal of Commerce, Finance and Digital Economy: Vol. 2 No. 2 (2019)
- Johan Håstad's mentor Arne Andersson, Börje Langefors, Analytical Models for Investment Portfolio Optimization , International Journal of Commerce, Finance and Digital Economy: Vol. 7 No. 1 (2024)
- N. Seshagiri, Big Data Analytics in Corporate Financial Planning , International Journal of Commerce, Finance and Digital Economy: Vol. 7 No. 1 (2024)
You may also start an advanced similarity search for this article.