Fitri Marisa, Titien Agustina, Devi Rusvitawati, Mardiana Andarwati, Rudi Hariyanto, Endah Tri Esti Handayani, Enes Sukić
This study aims to analyze the role of gender, age, retention, and motivation on the high and low opportunities of potential customers using the Kmeans clustering approach and gamification octalysis. This research resulted in several new knowledge contributions. Female customers are the most potential customers in a retail company. On the other hand, male customers are the least potential customers. The motivation to buy is relatively high across all genders and ages, as evidenced by the average "core drive" score, which tends to be high in the customer cluster segment with various age groups. The amount of customer motivation to buy products does not affect purchase retention, which several factors outside this study can cause. Based on customer expectation and customer impression data, low-price offers and product discount offers are dominantly in demand by customers, and this is also in line with the core drive "development" and "scarcity" scores which tend to be high. The age maturity of customers is directly proportional to purchase retention, and this is entirely rational when considering the buying ability of customers where the more mature age group has a higher purchasing power. © 2023 Fitri Marisa et al, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License.
Department of Informatics Engineering, Widyagama University of Malang, Jl. Borobudur No. 35, Malang, Indonesia; Department of Management, STIMI Banjarmasin, Jl. Kuripan no 26, Kuripan, Banjarmasin, Indonesia; Department of Information Systems, University of Merdeka Malang, Jl. Terusan Dieng no 62-64, Malang, Indonesia; Department of Mechanic Engineering, Univeristy of Merdeka Malang, Jl. Terusan Dieng no 62-64, Malang, Indonesia; Faculty of Information and Communications Technology, Universitas Nasional, Jl. Sawo Manila No.61, Pejaten Barat, Pasar Minggu, Jakarta Selatan, Jakarta, Indonesia; Faculty of Information Technology and Engineering, University Union-Nikola Tesla, Gagarina 149a, Belgrade, 11070, Serbia
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