Akademik Veri Yönetim Sistemi
Journal of Real Estate Literature, 2026 (Scopus)
Real estate marketing combines pricing, information disclosure, brokerage practices, and increasingly digital promotion. In this study, the determinants of time on market (TOM) were examined for residential, land, and commercial properties in Bolu, Türkiye. Field data collected from practicing real estate agents were combined with transaction-based information for 526 sold properties. The dataset was analyzed using multiple linear regression, logistic regression, and decision tree techniques. The results indicate that pricing strategy, demand conditions, credit use, selected physical and locational attributes, listing renewal behavior, and digital engagement indicators are associated with TOM. The findings also show that different analytical approaches highlight different aspects of sales performance: regression models identify statistically significant associations, whereas the decision tree reveals variables with stronger predictive importance. Rather than claiming a universal model, the study provides context-specific evidence on how conventional and digital marketing practices interact in a local market characterized by data limitations and heterogeneous property types. These findings offer practical implications for pricing, brokerage strategy, and the more effective use of digital channels in real estate marketing.