3D geomarketing segmentation: a higher spatial dimension planning perspective
Geomarketing is a discipline which uses geographic information in the process of planning and implementation of marketing activities. It can be used in any aspect of the marketing such as price, promotion or geo targeting. The analysis of geomarketing data use a huge data pool such as location resid...
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| Format: | Conference or Workshop Item |
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International Society for Photogrammetry and Remote Sensing
2016
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| author | Suhaibah, A. Uznir, U. Rahman, A. A. Anton, F. Mioc, D. |
| author_facet | Suhaibah, A. Uznir, U. Rahman, A. A. Anton, F. Mioc, D. |
| author_sort | Suhaibah, A. |
| collection | ePrints |
| description | Geomarketing is a discipline which uses geographic information in the process of planning and implementation of marketing activities. It can be used in any aspect of the marketing such as price, promotion or geo targeting. The analysis of geomarketing data use a huge data pool such as location residential areas, topography, it also analyzes demographic information such as age, genre, annual income and lifestyle. This information can help users to develop successful promotional campaigns in order to achieve marketing goals. One of the common activities in geomarketing is market segmentation. The segmentation clusters the data into several groups based on its geographic criteria. To refine the search operation during analysis, we proposed an approach to cluster the data using a clustering algorithm. However, with the huge data pool, overlap among clusters may happen and leads to inefficient analysis. Moreover, geomarketing is usually active in urban areas and requires clusters to be organized in a three-dimensional (3D) way (i.e. multi-level shop lots, residential apartments). This is a constraint with the current Geographic Information System (GIS) framework. To avoid this issue, we proposed a combination of market segmentation based on geographic criteria and clustering algorithm for 3D geomarketing data management. The proposed approach is capable in minimizing the overlap region during market segmentation. In this paper, geomarketing in urban area is used as a case study. Based on the case study, several locations of customers and stores in 3D are used in the test. The experiments demonstrated in this paper substantiated that the proposed approach is capable of minimizing overlapping segmentation and reducing repetitive data entries. The structure is also tested for retrieving the spatial records from the database. For marketing purposes, certain radius of point is used to analyzing marketing targets. Based on the presented tests in this paper, we strongly believe that the structure is capable in handling and managing huge pool of geomarketing data. For future outlook, this paper also discusses the possibilities of expanding the structure. |
| first_indexed | 2024-03-05T20:05:11Z |
| format | Conference or Workshop Item |
| id | utm.eprints-73069 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T20:05:11Z |
| publishDate | 2016 |
| publisher | International Society for Photogrammetry and Remote Sensing |
| record_format | dspace |
| spelling | utm.eprints-730692017-11-21T03:28:08Z http://eprints.utm.my/73069/ 3D geomarketing segmentation: a higher spatial dimension planning perspective Suhaibah, A. Uznir, U. Rahman, A. A. Anton, F. Mioc, D. G70.212-70.215 Geographic information system Geomarketing is a discipline which uses geographic information in the process of planning and implementation of marketing activities. It can be used in any aspect of the marketing such as price, promotion or geo targeting. The analysis of geomarketing data use a huge data pool such as location residential areas, topography, it also analyzes demographic information such as age, genre, annual income and lifestyle. This information can help users to develop successful promotional campaigns in order to achieve marketing goals. One of the common activities in geomarketing is market segmentation. The segmentation clusters the data into several groups based on its geographic criteria. To refine the search operation during analysis, we proposed an approach to cluster the data using a clustering algorithm. However, with the huge data pool, overlap among clusters may happen and leads to inefficient analysis. Moreover, geomarketing is usually active in urban areas and requires clusters to be organized in a three-dimensional (3D) way (i.e. multi-level shop lots, residential apartments). This is a constraint with the current Geographic Information System (GIS) framework. To avoid this issue, we proposed a combination of market segmentation based on geographic criteria and clustering algorithm for 3D geomarketing data management. The proposed approach is capable in minimizing the overlap region during market segmentation. In this paper, geomarketing in urban area is used as a case study. Based on the case study, several locations of customers and stores in 3D are used in the test. The experiments demonstrated in this paper substantiated that the proposed approach is capable of minimizing overlapping segmentation and reducing repetitive data entries. The structure is also tested for retrieving the spatial records from the database. For marketing purposes, certain radius of point is used to analyzing marketing targets. Based on the presented tests in this paper, we strongly believe that the structure is capable in handling and managing huge pool of geomarketing data. For future outlook, this paper also discusses the possibilities of expanding the structure. International Society for Photogrammetry and Remote Sensing 2016 Conference or Workshop Item PeerReviewed Suhaibah, A. and Uznir, U. and Rahman, A. A. and Anton, F. and Mioc, D. (2016) 3D geomarketing segmentation: a higher spatial dimension planning perspective. In: International Conference on Geomatic and Geospatial Technology, GGT 2016, 3 October 2016 through 5 October 2016, Kuala Lumpur; Malaysia. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994045055&doi=10.5194%2fisprs-archives-XLII-4-W1-1-2016&partnerID=40&md5=4d1cf91c70d8339858d06c5e8e4315fd |
| spellingShingle | G70.212-70.215 Geographic information system Suhaibah, A. Uznir, U. Rahman, A. A. Anton, F. Mioc, D. 3D geomarketing segmentation: a higher spatial dimension planning perspective |
| title | 3D geomarketing segmentation: a higher spatial dimension planning perspective |
| title_full | 3D geomarketing segmentation: a higher spatial dimension planning perspective |
| title_fullStr | 3D geomarketing segmentation: a higher spatial dimension planning perspective |
| title_full_unstemmed | 3D geomarketing segmentation: a higher spatial dimension planning perspective |
| title_short | 3D geomarketing segmentation: a higher spatial dimension planning perspective |
| title_sort | 3d geomarketing segmentation a higher spatial dimension planning perspective |
| topic | G70.212-70.215 Geographic information system |
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