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dc.contributor.authorKUSHWAHA, AMIT-
dc.contributor.authorAggarwal, Saurabh (supervisor)-
dc.date.accessioned2026-10-30T05:52:03Z-
dc.date.available2026-10-30T05:52:03Z-
dc.date.issued2025-06-
dc.identifier.urihttp://dspace.dtu.ac.in:8080/jspui/handle/repository/23418-
dc.description.abstractPersonalized marketing is an important practice to enhance customer involvement and loyalty in the contemporary changing and highly competitive retail banking industry. This research study, "The Loyality Blueprint: Personalization Strategies in Retail Banking" focuses on the impact of personalized marketing practices in financial services cross selling and customer retention. The research examines the impact of unique data-based communication on customer behavior, satisfaction, and long-term relationship establishment. Primary data—collected using guided questionnaires among retail bank customers—and secondary data taken from scholarly journals, market reports, and real-life banking case studies constitute the basis of the study. 50 users' responses were assessed in order to measure their experience of customized products such as customized credit card offers, customized investment guidance, and occasion-based messages. Outcomes show that more than 70% of the participants felt valued with customized interactions, and 58% of them responded positively to the offers, which implies their potential in cross-selling. In addition, it also turns out from the study that customers of banks who are accustomed to reading highly targeted, individualized messages are likely to be loyal to their banks. The research also identifies key drivers of successful personalization, which include customer data usage, timing of communication, and content relevance. The research establishes that personalized marketing not only supports customer retention but also promises new opportunities for revenue boost through faster product adoption. The research provides strategic suggestions to banks for maximizing their efforts toward personalization on the grounds of AI technologies, customer behavior analysis, and segmentation methods and thus strengthening their market position in a digitally driven world.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesTD-9312;-
dc.subjectLOYALITY BLUEPRINTen_US
dc.subjectPERSONALIZATION STRATEGIESen_US
dc.subjectRETAIL BANKINGen_US
dc.titleTHE LOYALITY BLUEPRINT: PERSONALIZATION STRATEGIES IN RETAIL BANKINGen_US
dc.typeThesisen_US
Appears in Collections:MBA

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