TORONTO — Rong Zhuang, a Canada-based real estate professional and researcher affiliated with the University of Toronto Scarborough, has published new research examining how big data technologies are reshaping real estate marketing through customer lifecycle–based models, offering both theoretical frameworks and practical tools for an increasingly data-driven industry.
In her recent paper, “Research on the Construction of a Big Data-Based Real Estate Marketing Model Based on the Customer Life Cycle,” Zhuang proposes an integrated marketing model that applies data analytics across every stage of the customer lifecycle, from initial prospect identification to long-term client retention. The study argues that traditional real estate marketing approaches often fail to respond to evolving consumer behavior and fragmented data environments, limiting their effectiveness in competitive markets.
Zhuang’s model emphasizes full-cycle customer management enabled by large-scale data collection, behavioral analysis, and predictive modeling. By aligning marketing strategies with distinct lifecycle stages, the research demonstrates how real estate enterprises can deliver more precise, personalized services while improving resource allocation and decision-making accuracy.
The findings build on interdisciplinary research in marketing science and digital transformation, drawing on lifecycle theory, service-dominant logic, and data-driven decision systems. Zhuang positions big data not as a standalone technological tool, but as an organizing infrastructure that connects customer insights, pricing strategy, and long-term relationship management.
In a related theoretical study, “Evolutionary Logic and Theoretical Construction of Real Estate Marketing Strategies under Digital Transformation,” Zhuang further examines how emerging technologies such as artificial intelligence, virtual reality, and the Internet of Things are reshaping marketing strategy formation in the real estate sector. The paper outlines a conceptual framework that explains the industry’s shift from product-centric promotion to customer-centric engagement, highlighting digital transformation as a key driver of strategic evolution.
Beyond academic publication, Zhuang’s research reflects more than a decade of applied professional experience in real estate marketing and investment advisory. She has led regional market data modeling initiatives, developed pricing strategies based on comparable property analysis, and implemented volatility monitoring systems to support risk-aware decision-making. These methods directly inform the analytical models discussed in her academic work, reinforcing the practical relevance of her research.
Zhuang has also contributed to the development of multiple proprietary real estate software systems, including intelligent marketing planning platforms and customer relationship depth maintenance systems. These tools integrate data analytics with operational workflows, translating theoretical research into scalable industry applications.
Her professional achievements have been recognized within the real estate sector, including multiple brokerage awards for performance and client service excellence. In 2021, she was awarded the Fellow of the Real Estate Institute designation, a distinction granted to professionals demonstrating advanced expertise and leadership in the field.
Zhuang holds a Bachelor of Business Administration from the University of Toronto Scarborough, where her academic training in management and data analysis continues to inform her research on digital transformation and customer-centric strategy design. She is an active member of Canada’s national real estate professional community, engaging with industry standards, compliance systems, and market research initiatives through professional associations.
Her work contributes to ongoing discussions at the intersection of data science, marketing strategy, and real estate economics, offering frameworks that address both scholarly inquiry and real-world implementation challenges. As digital transformation accelerates across property markets globally, Zhuang’s research positions customer lifecycle analytics as a foundational component of next-generation real estate marketing strategy.
