This paper analyzes factors influencing customer satisfaction in hair salons using review data. Specifically, customer reviews were vectorized and categorized through cluster analysis, and the proportion of reviews in each cluster for each salon was calculated. Using these proportions as explanatory variables and the average satisfaction rating for services as the objective variable, a prediction model was built, and the importance of each feature was examined. The results suggest that customer satisfaction may be influenced more by the overall experience at the salon than by the quality of individual services like cuts or coloring. Additionally, the study highlights the need to approach repeat customers more effectively.