Designing a Marketing Strategy for Xiaomi Mobile Phones Based on Market Share Analysis Using Markov Chain in Indonesia
Perancangan Strategi Pemasaran Handphone Xiaomi Berdasarkan Analisis Pangsa Pasar Menggunakan Markov Chain di Indonesia
Keywords:
Markov Chain, SWOT analysis, Handphone marketing strategyAbstract
In this study, a marketing strategy for Xiaomi mobile phones in Indonesia was designed based on market share analysis using the Markov Chain method and SWOT analysis. The mobile phone market is very competitive, so to maintain and increase market share, it is necessary to understand the dynamics of consumer movement between brands. The Markov Chain method is used to model the possibility of customer movement from one brand to another based on historical market share data of several major brands, including Xiaomi, iPhone, Samsung, Oppo, Asus, and Vivo. After the Markov Chain, it is continued with SWOT Analysis and Marketing Strategy Design. Some strategies that Xiaomi can use include creating a user-friendly Xiaomi image, actively advertising and promoting both electronic and non-electronic media, using public figures as brand ambassadors, creating recycling movements, and creating a campaign. This strategy successfully increased consumers' probability of choosing Xiaomi as their main choice.
References
[1] C. W. Lamb, J. F. Hair, and C. McDaniel, *Marketing*, Boston: Cengage Learning, 2012.
[2] C. Domanski and B. Prusak, “Application of Markov chains to model customer behavior,” *Polish Journal of Management Studies*, Czestochowa, 2011.
[3] M. Aliwafa, S. Sukanta, and R. P. Sari, “Peramalan Strategi Pelanggan serta Perpindahan Pelanggan Indomaret dan Alfamart dengan Metode Game Theory dan Markov Chain,” *Serambi Engineering*, Banda Aceh, 2021.
[4] M. Harun and A. Suseno, “Analisis Peluang Perpindahan Konsumen Dengan Metode Rantai Markov Pada 3 Kuliner Baso Di Galuh Mas Telukjambe Karawang,” *SAINTEK JISTIN*, Karawang, 2021.
[5] M. Rizal, R. E. Putri, and D. Ramadhani, “Analisis pangsa pasar operator seluler di Indonesia menggunakan metode Markov Chain,” *Jurnal Sains dan Informatika*, Medan, 2018.
[6] A. M. Kassa, E. Abrham, and T. Seid, “Application of Markov Chain Analysis Model for Predicting Monthly Market Share of Restaurants,” *International Journal of Recent Engineering Research and Development*, India, 2018.
[7] N. Novia, P. Hendikawati, and S. Mariani, “Analisis Markov Chain Untuk Forecasting Pangsa Pasar Handphone dan Pengembangannya,” *Unnes Journal of Mathematics*, Semarang, 2013.
[8] A. N. Azizah and R. P. Sari, “Analisis Brand Switching dan Penentuan Strategi Pemasaran Produk Bubble Tea Menggunakan Metode Markov Chain dan Game Theory,” *Jurnal Optimalisasi*, Meulaboh, 2021.
[9] D. V. Hanifah and Y. P. Astuti, “Analisis Perpindahan Pelanggan dan Strategi Persaingan Restoran dengan Metode Markov Chain dan Game Theory,” *MATHunesa Jurnal Ilmiah Matematika*, Surabaya, 2022.
[10] E. Gurel and M. Tat, “SWOT analysis: A theoretical review,” *The Journal of International Social Research*, Istanbul, 2017.
[11] H. Rahardjo and S. A. Wibowo, “Formulasi strategi pemasaran digital produk lokal menggunakan analisis SWOT dan QSPM,” *Jurnal Manajemen dan Bisnis Indonesia*, Jakarta, 2020.
[12] P. Kotler and K. L. Keller, *Marketing Management*, Boston: Pearson Education, 2016.
[13] R. S. J. Afnan Erina, “Analisis SWOT Terhadap Strategi Penjualan Smartphone Xiaomi dan Vivo,” *Jurnal Saintifik Manajemen dan Akuntansi*, Jakarta, 2020.
[14] H. Nasri, “Pengaruh Brand Ambassador BTS Terhadap Purchase Intention Yang Dimediasi Oleh Brand Awareness Tokopedia di Indonesia,” Skripsi, Universitas Negeri Jakarta, Jakarta, 2020.
[15] M. E. Porter, *Competitive Strategy: Techniques for Analyzing Industries and Competitors*, New York: Free Press, 1980.
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Copyright (c) 2025 Evy Herowati, Rahman Dwi Wahyudi, Muhammad Syahrul Akbar
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