MARKETING STRATEGY ANALYSIS OF OVO DIGITAL WALLET CUSTOMERS INTEREST
Main Article Content
Abstract
This study aims to analyze the marketing strategy of customer interest on OVO as digital wallet. This study a qualitative study in the sense that it is a library study with books and other literature serving as the primary object. The data presented is in the form of words, which requires concise and systematic processing. Analysis is a series of straightforward efforts to generate and process research material into a simple framework. The collected data is subsequently examined to obtain information, however first the data is picked for its reliability. In this study, data analysis techniques such as content analysis were used. The finding reveals that the OVO strategy for improving customer advantages through the use of online payment systems is to place emphasis on the payment transaction itself. The points that have been acquired can be redeemed at a later date if the price of the payment specification decreases. Customers can pay while still on the spot, which is surely highly efficient, practical, and quick, making it a method that streamlines the customer's experience overall. By providing a positive environment that caters to their needs, especially for the millennial generation, who happens to be the largest user of the OVO digital wallet, it will encourage them to flock to the merchants that they prefer to visit.
Alamsyah, H. (2017). Analisa Pengaruh Mediasi Referral Wom Terhadap Loyalitas Yang Dipengaruhi Oleh Relationship Management dan Perceived Value (Studi Kasus Pengujian Produk B2B Oleh Pihak Ketiga). Universitas Mercu Buana Jakarta.
de Morais Watanabe, E. A., Torres, C. V., & Alfinito, S. (2019). The impact of culture, evaluation of store image and satisfaction on purchase intention at supermarkets. Revista de Gestão.
Handayani, A. S. A., & Anwar, U. S. K. (2021). Kepuasan Dan Kenyamanan Nasabah Terhadap Pelayanan Yang Diberikan Oleh Pt Taspen (Persero) Jambi. Transekonomika: Akuntansi, Bisnis Dan Keuangan, 1(3), 284–294. https://doi.org/https://doi.org/10.55047/transekonomika.v1i3.48
Hou, C.-K. (2016). Understanding business intelligence system continuance intention: An empirical study of Taiwan’s electronics industry. Information Development, 32(5), 1359–1371.
Keller, K. L. (2008). Strategic brand management: Building, measuring, and managing brand equity. Pearson/Prentice Hall.
Khoiria, S. N., & Anwar, U. S. K. (2021). Analisis Kepuasan Konsumen Terhadap Kualitas Pelayanan Di Warung Steak On You Kota Baru Jambi. Transekonomika: Akuntansi, Bisnis Dan Keuangan, 1(3), 216–227. https://doi.org/https://doi.org/10.55047/transekonomika.v1i3.41
Kotler, P., & Amstrong, G. (2014). Principles of Marketing (15th ed.). Pearson Education.
Lee, E.-Y., Lee, S.-B., & Jeon, Y. J. J. (2017). Factors influencing the behavioral intention to use food delivery apps. Social Behavior and Personality: An International Journal, 45(9), 1461–1473.
Putri, L. H. (2016). Faktor-Faktor yang mempengaruhi minat pembelian ulang konsumen terhadap produk naget delicy. Jurnal Manajemen Dan Start-up Bisnis, 1(2), 162–170.
Rathore, H. S. (2016). Adoption of digital wallet by consumers. BVIMSR’s Journal of Management Research, 8(1), 69.
Sartika, D. (2017). Analisis Faktor-Faktor Yang Mempengaruhi Minat Beli Ulang Produk You C 1000 Serta Dampaknya Terhadap Loyalitas Konsumen. Jurnal Penelitian Ekonomi Dan Bisnis, 2(1), 10–21.
Tribunnews. (2019). 3 Besar Dompet Digital Indonesia Untuk Transaksi Ritel, Transportasi dan Pengiriman Makanan Online. Tribunnews.Com. https://www.tribunnews.com/techno/2019/07/15/3-besar-dompet-digital-indonesia-untuk-transaksi-ritel-transportasi-dan-pengiriman-makanan-online
Xiao, X., Wang, Z., & Rajasekaran, S. (2019). Autoprune: Automatic network pruning by regularizing auxiliary parameters. Advances in Neural Information Processing Systems, 32.
Ye, H., & Luo, Y. (2016). The Research on the Impact of Service Failure Severity on Customer Service Failure Attribution in the Network Shopping. WHICEB, 12.