The Relative Performance of Real Estate Marketing Platforms: MLS versus FSBOMadison.com

We compare house sales on a For-Sale-By-Owner (FSBO) platform to Multiple Listing Service (MLS) sales and find that FSBO precommission prices are no lower, but that FSBO is less effective in terms of time to sell and probability of a sale. We do not find direct evidence of the importance of network size as a reason for the lower effectiveness of FSBO. We do find evidence of endogenous platform differentiation: patient sellers use FSBO while patient buyers transact more often on the MLS (where they avoid patient sellers). We discuss the implications for platform competition, two-sided markets, and welfare. (JEL L85, M31, R31)

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REAL ESTATE MARKETING FOR LEISURE AND ENTERTAINMENT PARKS

10.15396/eres2006_207 ◽

2006 ◽

Keyword(s):

Real Estate ◽

Real Estate Marketing

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A Note On Real Estate Marketing Research

Journal of Real Estate Research ◽

10.1080/10835547.1990.12090628 ◽

1990 ◽

Vol 5 (3) ◽

pp. 393-401

Author(s):

Emil Malizia

Keyword(s):

Real Estate ◽

Marketing Research ◽

Real Estate Marketing

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A Comparison of Real Estate Marketing Systems: Theory and Evidence

Journal of Real Estate Research ◽

10.1080/10835547.1995.12090804 ◽

1995 ◽

Vol 10 (5) ◽

pp. 583-599 ◽

Cited By ~ 3

Author(s):

Abdullah Smeal ◽

Peter Colwell

Keyword(s):

Real Estate ◽

Systems Theory ◽

Real Estate Marketing ◽

Marketing Systems

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Real Estate Marketing and Factors Impacting Real Estate Purchasing

International Journal of Applied Management Sciences and Engineering ◽

10.4018/ijamse.2019070102 ◽

2019 ◽

Vol 6 (2) ◽

pp. 15-35

Author(s):

Mustafa Likos ◽

Mahir Nakip ◽

Aytaç Gökmen

Keyword(s):

Statistical Analysis ◽

Real Estate ◽

Structural Factor ◽

Reference Group ◽

Social Factor ◽

Purchasing Behavior ◽

Analysis Method ◽

Reference Groups ◽

The Real Estate ◽

Real Estate Marketing

The purpose of the study is to introduce factors impact on purchasing behavior in real estate marketing. The seven factors analyzed—location, structural factor, neighborhood, social factor, reference group, financial, advertising—have a direct effect on real estate purchasing behavior. A questionnaire prepared for this purpose was applied to 235 randomly selected people and the collected data were analyzed by variance analysis method. According to the results of the statistical analysis, factors such as location, structural factor, social factor, neighborhood, financial, advertising factor influence the purchasing behavior of the real estate, and it is observed that the reference groups do not affect the purchasing behavior.

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Development of real estate marketing – trends for the future

Marketing Science & Inspirations ◽

10.46286/msi.2021.16.4.2 ◽

2021 ◽

Vol 16 (4) ◽

pp. 10-19

Author(s):

Jörg Petermann

Keyword(s):

Real Estate ◽

Digital Technologies ◽

Marketing Channels ◽

The Past ◽

Online Platforms ◽

Real Estate Marketing ◽

The Future ◽

Real Estate Agents ◽

Digital Channels ◽

International Sales

Real estate marketing has changed fundamentally over the past twenty years, mainly due to digital technologies. Due to the availability of online platforms as intermediary websites, the complexity of interaction relationships between providers, demanders, and real estate agents has increased. The study takes the perspective of real estate agents and uses the example market of Cologne/Bergisch-Gladbach to show what new potential digital channels offer for the reach and intensity of real estate marketing. Real estate agencies are challenged to evolve technologically, but then have a wider inventory of marketing channels and presentation options at their disposal. In the future, social media and video streaming platforms could further revolutionize property marketing, offering further potential to proactive providers, especially in terms of property branding and international sales.

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