Analysis of CRM system customer profiling optimization methods in real estate marketing
Rong Zhuang
Rife Reality Inc
DOI: https://doi.org/10.59429/bam.v7i4.12407
Keywords: real estate marketing; CRM system optimization; regional market differentiation; customer lifecycle management (CLM); social media marketing
Abstract
As the real estate industry undergoes a period of significant adjustment, customer relationship management (CRM) systems have increasingly become essential tools for enhancing marketing operations. Within these systems, customer profiling serves as a core module for delivering personalized services and targeted campaigns, with its construction quality directly influencing conversion efficiency. However, current CRM systems in the real estate sector often suffer from fragmented customer data, rudimentary labeling systems, underdeveloped predictive models, and a lack of iterative updating mechanisms—all of which limit the ability to deeply mine customer value. This study addresses these technical challenges by proposing four targeted optimization strategies: building a unified customer data platform, establishing a dynamic multidimensional tagging system, introducing behavioral analysis and predictive modeling, and constructing a marketing feedback loop. By systematically identifying key obstacles and proposing structural and data-driven solutions, this paper aims to offer actionable insights for enhancing fine-grained customer management during the digital transformation of real estate enterprises.
References
[1] Sheng L .Adaptive Grid Division and Cluster Analysis of Decision Graph in Real Estate Marketing Using Data Mining[J].Mobile Information Systems,2022.
[2] Belniak M ,Radziszewska-Zielina E .Effectiveness of Applying Marketing Tools in Real Estate Trading[J].IOP Conference Series: Materials Science and Engineering,2019,471(11):112074 (10pp).
[3] Zaby C ,Wilde D K .Intelligent Business Processes in CRM:Exemplified by Complaint Management[J].Business & Information Systems Engineering,2018,60(4):289-304.
[4] AL-Rubaiee H ,Alomar K ,Qiu R , et al.Tuning of Customer Relationship Management (CRM) via Customer Experience Management (CEM) using Sentiment Analysis on Aspects Level[J].International Journal of Advanced Computer Science and Applications (IJACSA),2018,9.
[5] Li Y .AI-enabled real estate social media marketing: A new model and practical exploration[J].Academic Journal of Business & Management,2025,7(1).