International Journal of Management and Digital Business
Vol. 3 No. 2 (2024)

Optimizing Customer Relationship Management with Surprise Program: A Quantitative Approach

Muhyiddin, A. Sya’ban (Unknown)
Indrawati, Indrawati (Unknown)



Article Info

Publish Date
28 Oct 2024

Abstract

This research explores the implementation of customer relationship marketing strategies through the a program launched by PT XYZ. The program was designed to enhance customer loyalty with personalized special offers and exclusive promotions. This study employs quantitative methods and the data were obtained from the analysis of company reports and customer demographics, geography, behaviour, and psychology. Using K-means clustering, this study analyses data collected from XYZ's CRM surprise program, focusing on customer interests in video, games, and music, as well as their payment methods (prepaid or postpaid). The findings reveal significant variations in digital content consumption between prepaid and postpaid users. This segmentation enables XYZ to tailor its service offerings more effectively. The study highlights the potential for increasing customer satisfaction and loyalty through personalized offers, underscoring the importance of behavioural and psychographic data in optimizing service delivery.

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Journal Info

Abbrev

ijmdb

Publisher

Subject

Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Library & Information Science Social Sciences

Description

Aims International Journal of Management and Digital Busines (IJMDB) is Open Access journal that aims to publish original research articles, reviews, and reports on the digitalization of business and management, how digital technologies can innovate the business, and what this means for the future ...