Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/77188
Title: Understanding user behaviour on an online retail website
Authors: Tan, Xing Yuan
Keywords: DRNTU::Science::Physics
Issue Date: 2019
Abstract: The webmaster has always trying to understand the profiles of the site visitors, especially for the business owners. With the improvement of technology, we can capture every interaction of the users and perform a detailed analysis of the site visitors. In this paper, we shall use a different technique to improve the conversion rate of Nzsale.com, which have found to be in the low 10%. A decision-making model of the subscribers basing browsing time was introduced. With the model, the faster users focused on user searches, and the slower users browse on sales banner more frequently. With this information, Nzsale can have a more focused target on the users to enhance conversion rate.
URI: http://hdl.handle.net/10356/77188
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SPMS Student Reports (FYP/IA/PA/PI)

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