Understanding user behaviour on an online retail website
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 techniq...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2019
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/77188 |
| _version_ | 1811679348687634432 |
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| author | Tan, Xing Yuan |
| author2 | Cheong Siew Ann |
| author_facet | Cheong Siew Ann Tan, Xing Yuan |
| author_sort | Tan, Xing Yuan |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T03:07:44Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/77188 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:07:44Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-10356/771882023-02-28T23:12:06Z Understanding user behaviour on an online retail website Tan, Xing Yuan Cheong Siew Ann School of Physical and Mathematical Sciences MySale DRNTU::Science::Physics 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. Bachelor of Science in Physics 2019-05-15T06:18:41Z 2019-05-15T06:18:41Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/77188 en 48 p. application/pdf |
| spellingShingle | DRNTU::Science::Physics Tan, Xing Yuan Understanding user behaviour on an online retail website |
| title | Understanding user behaviour on an online retail website |
| title_full | Understanding user behaviour on an online retail website |
| title_fullStr | Understanding user behaviour on an online retail website |
| title_full_unstemmed | Understanding user behaviour on an online retail website |
| title_short | Understanding user behaviour on an online retail website |
| title_sort | understanding user behaviour on an online retail website |
| topic | DRNTU::Science::Physics |
| url | http://hdl.handle.net/10356/77188 |
| work_keys_str_mv | AT tanxingyuan understandinguserbehaviouronanonlineretailwebsite |