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dc.contributor.advisor Zhang, Xuesong (Sonya) en
dc.contributor.author Zhang, Sonya en
dc.contributor.author Rajasekaran, Rohith en
dc.date.accessioned 2020-05-20T21:26:11Z en
dc.date.issued 2020-05-20 en
dc.identifier.uri http://hdl.handle.net/10211.3/215932 en
dc.description.abstract Web analytics tools like Google Analytics allow an online business to track where visitors come from and how they interact with the website. Analyzing this information drives marketing and website design improvements, which can lead to traffic and conversion optimization, which for eCommerce means more transaction revenue. Our study reported the exploratory data analysis, descriptive and predictive analytics performed on a Google Analytics dataset of the online Google Merchandise Store, with a focus on the impact of user engagement to transaction revenue. en
dc.format.extent 17 pgs. en
dc.language.iso en en
dc.publisher California State Polytechnic University, Pomona en
dc.rights.uri http://www.cpp.edu/~broncoscholar/rightsreserved.html en
dc.subject web analytics en
dc.subject online business en
dc.subject website design en
dc.title Exploratory Data Analysis, Descriptive and Predictive Analytics Approach For Improving Google Merchandise Store Revenue Based on Google Analytics Data en
dc.type Student Research en
dc.description.embargoterms 5 years en
dc.date.embargountil 2025-05-19T21:26:11Z en
dc.contributor.department Department of Computer Information Science en
dc.rights.license All rights reserved en


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