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HomeZilla: Attracting Homebuyers through Better Photos
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Reference: IVEY-9B16E029-E
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Year: 2014
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Number of pages: 6
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Geographic Setting: Canada
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Publication Date: Sep 27, 2016
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Fecha de edición: Sep 27, 2016
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Source: Ivey Business School (Canada)
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Type of Document: Case
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Industry Setting: Other Services;
Description
In November 2014, the founder and chief executive officer of HomeZilla, in Toronto, Canada, was considering how to provide value-added services to his business. One of the company’s main services was to work with real estate agents to provide web listings to attract home shoppers. Many Internet companies were analyzing web-browsing data in an effort to better understand user behaviour and thus improve their business. Inspired by this trend, the founder considered how his company could use web-browsing data to better attract home shoppers on the company’s website and thereby add value to his business.
Learning Objective
After completion of the case, students will have a familiarity with several Microsoft Excel tools and concepts, including data cleaning, descriptive data analysis, exploratory analysis, pivot tables, hypothesis tests, logistic regression, principal component analysis, statistical analysis using R, and survival models, including the proportional hazards model. The case is accompanied by a Microsoft Excel file of a large data set with more than 29,000 rows of page views.