This research explores the influence of geographical location on consumer satisfaction using online reviews and geospatial analysis. Applying expectancy disconfirmation theory, we propose a multi-tiered geospatial framework to examine regional variations in consumer satisfaction. Our study integrates customer feedback from online platforms with geographic, demographic, and socioeconomic data to uncover spatial patterns affecting customer satisfaction. By analyzing data from Starbucks locations in Philadelphia, we employ clustering and sentiment analysis to demonstrate how local characteristics impact consumer perceptions and satisfaction. The findings highlight the significance of incorporating geographic context into satisfaction models, providing deeper insights for businesses aiming to enhance their strategic decisions based on location-specific consumer behavior.