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Micro, Small and Medium Enterprises (MSMEs) have an important role in the Indonesian economy, especially in facing economic crises such as the 1998 monetary crisis and the COVID-19 pandemic. MSMEs are at the forefront in creating jobs and contributing to economic growth, even though they face various challenges, including capital problems. This research uses a qualitative approach with a case study type. This research uses primary data collected from interviews with the owner of Pajeng Cokelat. Pajeng Cokelat is a micro business located in Blitar and makes various kinds of processed chocolate to be used as snacks. The owner of Pajeng Cokelat is active in participating in training activities aimed at improving skills both related to marketing and the products produced. The results of this research highlight the government's efforts to overcome capital problems through programs such as People's Business Credit (KUR) and business training. However, increasing financial literacy is needed, especially in the context of sharia finance, to support the sustainable growth of MSMEs. By overcoming these challenges, MSMEs can continue to play a role in driving the national economy.

Customer segmentation plays a pivotal role in driving marketing strategies and improving customer retention across various industries. This study explores the application of the RFM (Recency, Frequency, Monetary) model for customer segmentation in a Software-as-a-Service (SaaS) business, using Python for efficient data processing and analysis. By analyzing one year of customer purchase data, we segmented customers into key groups such as "Champions," "Loyal Customers," and "At Risk." The results highlight that targeted discount strategies significantly affect profitability, especially for high-value customer segments. Furthermore, the research builds upon existing methodologies, demonstrating how Python-based implementations streamline RFM analysis and allow for scalable solutions in business contexts, as illustrated in prior works by Hermawan et al. (2024). This study offers actionable recommendations, including tailored discounting, loyalty programs, and personalized engagement strategies, to enhance customer retention and business profitability. The findings underscore the importance of data-driven marketing approaches for customer segmentation and engagement, reinforcing the relevance of the RFM model in modern business environments.